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Free Download Udemy - Research Methods in Social Science (Certificate) Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 51m | Size: 2.83 GB College level research informational content course used in psychology and the social sciences. What you'll learn Recognize the various types of research methods; Identify ethical concerns within the research process; Describe and develop research questions, frameworks, and study designs; Compare and contrast experimental and nonexperimental research; Recognize the various ways researchers describe data; Identify the key parts in creating and writing a research report in APA format. Requirements No Requirements needed to take this course. Description All students are consumers of research from psychology and other scientific disciplines. As such, it is important to develop your capacity for critically evaluating "scientific evidence" that is communicated in journals, magazines, newspapers, and news programs.This college level course is an introduction to the process of obtaining facts regarding social phenomena, social problems and problem solution commonly found in the social sciences. Students will be exposed to the wide range of social science research methods and designs, including observational methods, survey research, as well as correlation and experimental designs. Social science is the study of how people interact with one another. The branches of social science include anthropology, economics, political science, psychology, and sociology. Research methods are specific procedures for collecting and analyzing data. Research methods in psychology are systematic procedures used to observe, describe, predict, and explain behavior and mental processes.Learning ObjectivesDefine social science and research methods; Identify the stages of social research; Recognize the various types of research methods; Recognize influences in human behavior; Compare various theories of behavior; Define ethics as it pertains to ethical research; Identify ethical concerns within the research process; Recognize the professional codes of ethics; Increase awareness and sensitivity to ethical issues in research; Explain why it is necessary to consider ethical issues when designing and conducting research; Identify factors affecting problem selection; Recognize examples of current research; Develop ideas for research study; Explain influences on choosing a research design; Describe and develop research questions, frameworks, study designs, and measures appropriate for implementation science; Compare and contrast experimental and nonexperimental research; Identify types of nonexperimental research; Recognize technical terms in survey research methods; Compare and contrast between-subject and within-subject experimental design; Recognize non-survey data collection techniques; Recognize the various ways researchers describe data; Identify how validity and reliability are measured; Compare the quantitative / qualitative distinction; Explain the use of statistics in social science; Write in a clear and concise style; Gather relevant information from a variety of sources; Write an abstract that is appropriate for the target audience; Create and write a research report; Define terms relating to analysis and interpretation of research; Identify key methods in research reporting; Recognize presentation measures of association; and Compose social science research results. Who this course is for This is an introduction to a college level informational content course, intended to educate students about the basics of research methods used in psychology and the social sciences. Ideal to take before registering for your college Research Methods course. Homepage: https://www.udemy.com/course/research-methods-in-social-science-certificate/ [b]AusFile[/b] https://ausfile.com/0zcrkbtnsp74/wtfve.Research.Methods.in.Social.Science.Certificate.part1.rar.html https://ausfile.com/d6ora3q80pwm/wtfve.Research.Methods.in.Social.Science.Certificate.part2.rar.html https://ausfile.com/263x277oxig6/wtfve.Research.Methods.in.Social.Science.Certificate.part3.rar.html Rapidgator https://rg.to/file/21c113a5bc07c8d91150e4dc0400248c/wtfve.Research.Methods.in.Social.Science.Certificate.part1.rar.html https://rg.to/file/dd454fce404f9fd809ee5d142a8f3fd8/wtfve.Research.Methods.in.Social.Science.Certificate.part2.rar.html https://rg.to/file/9061a71e1a467a001dd50e968a8658bc/wtfve.Research.Methods.in.Social.Science.Certificate.part3.rar.html Fikper Free Download https://fikper.com/Kj98R694RF/wtfve.Research.Methods.in.Social.Science.Certificate.part1.rar.html https://fikper.com/z0BiSqDxIt/wtfve.Research.Methods.in.Social.Science.Certificate.part2.rar.html https://fikper.com/Qwm2MKnAXw/wtfve.Research.Methods.in.Social.Science.Certificate.part3.rar.html No Password - Links are Interchangeable

Free Download The Data Science Course - Complete Data Science Bootcamp 2025 Last updated: 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 15.87 GB | Duration: 31h 57m Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning What you'll learn The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don't teach!) Start coding in Python and learn how to use it for statistical analysis Perform linear and logistic regressions in Python Carry out cluster and factor analysis Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn Apply your skills to real-life business cases Use state-of-the-art Deep Learning frameworks such as Google's TensorFlowDevelop a business intuition while coding and solving tasks with big data Unfold the power of deep neural networks Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations Requirements No prior experience is required. We will start from the very basics You'll need to install Anaconda. We will show you how to do that step by step Microsoft Excel 2003, 2010, 2013, 2016, or 365 Description *Update 2025: Intro to Data Science module updated for recent AI developments*The ProblemData scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist. And how can you do that? Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming) Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture The Solution Data science is a multidisciplinary field. It encompasses a wide range of topics. Understanding of the data science field and the type of analysis carried out Mathematics Statistics Python Applying advanced statistical techniques in Python Data Visualization Machine Learning Deep Learning Each of these topics builds on the previous ones. And you risk getting lost along the way if you don't acquire these skills in the right order. For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics. Or, it can be overwhelming to study regression analysis in Python before knowing what a regression is. So, in an effort to create the most effective, time-efficient, and structured data science training available online, we created The Data Science Course 2024. We believe this is the first training program that solves the biggest challenge to entering the data science field - having all the necessary resources in one place. Moreover, our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save). The Skills 1. Intro to Data and Data ScienceBig data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean? Why learn it? As a candidate data scientist, you must understand the ins and outs of each of these areas and recognise the appropriate approach to solving a problem. This 'Intro to data and data science' will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science. 2. Mathematics Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail. We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on. Why learn it? Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal. 3. Statistics You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist. Why learn it? This course doesn't just give you the tools you need but teaches you how to use them. Statistics trains you to think like a scientist. 4. PythonPython is a relatively new programming language and, unlike R, it is a general-purpose programming language. You can do anything with it! Web applications, computer games and data science are among many of its capabilities. That's why, in a short space of time, it has managed to disrupt many disciplines. Extremely powerful libraries have been developed to enable data manipulation, transformation, and visualisation. Where Python really shines however, is when it deals with machine and deep learning.Why learn it? When it comes to developing, implementing, and deploying machine learning models through powerful frameworks such as scikit-learn, TensorFlow, etc, Python is a must have programming language. 5. TableauData scientists don't just need to deal with data and solve data driven problems. They also need to convince company executives of the right decisions to make. These executives may not be well versed in data science, so the data scientist must but be able to present and visualise the data's story in a way they will understand. That's where Tableau comes in - and we will help you become an expert story teller using the leading visualisation software in business intelligence and data science.Why learn it? A data scientist relies on business intelligence tools like Tableau to communicate complex results to non-technical decision makers. 6. Advanced Statistics Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail. Why learn it? Data science is all about predictive modelling and you can become an expert in these methods through this 'advance statistics' section. 7. Machine Learning The final part of the program and what every section has been leading up to is deep learning. Being able to employ machine and deep learning in their work is what often separates a data scientist from a data analyst. This section covers all common machine learning techniques and deep learning methods with TensorFlow. Why learn it? Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines. **What you get**A $1250 data science training program Active Q&A support All the knowledge to get hired as a data scientist A community of data science learners A certificate of completion Access to future updates Solve real-life business cases that will get you the job You will become a data scientist from scratch We are happy to offer an unconditional 30-day money back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.Why wait? Every day is a missed opportunity.Click the "Buy Now" button and become a part of our data scientist program today. 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Free Download Udemy - Computational Science And Engineering 1 Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.61 GB | Duration: 5h 49m Applied Mathematics: Real World Modeling, Differential Equations, and Linear Systems What you'll learn Understand how to identify patterns and structures in a wide range of applications, including engineering, science, economics, and biology. Develop the ability to model real world problems using mathematical equations and techniques. Learn both analytical and numerical methods for solving mathematical equations, including the use of MATLAB. Gain experience in applying mathematical concepts to solve practical, real world problems. Requirements Basic understanding of calculus and differential equations, Some familiarity with MATLAB or a willingness to learn the software, Openness to learning linear algebra mathematical concepts and their applications in various fields Description This course on Computational Science and Engineering focuses on mathematical modeling, differential equations, and linear algebra to solve real-world problems. Students will learn to develop and analyze models for various applications in engineering, physics, and data science. Key topics include the use of the delta function, boundary value problems, and numerical methods.Through hands-on projects and case studies, parti[beeep]nts will gain practical skills in applying mathematical concepts to complex systems, enhancing their problem-solving abilities in diverse fields. The course emphasizes collaborative learning, where students work in teams to tackle real-world challenges, fostering teamwork and communication skills essential in today's workforce.Additionally, students will have access to software tools and programming languages commonly used in the industry, allowing them to implement and test their models effectively. Each module is designed to build upon the previous one, ensuring a comprehensive understanding of the material.By the end of the course, parti[beeep]nts will be equipped with the theoretical knowledge and practical experience needed to confidently approach complex mathematical problems. Join us to explore the intersection of theory and application in applied mathematics, and prepare to make significant contributions to your chosen field! This course concludes by encouraging questions for further clarification in subsequent sessions. 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Learn practical daily ways to work with crystals.Vibrations, chakras and powerful rocks! The truth about crystals!This course is the starting place for your 50 Lesson Accredited Certification Journey.Past students say:"A transformational experience! The Crystals & Crystal Healing Masterclass was truly a revelation for me. The information was presented clearly and in great detail, and the practical exercises gave me the confidence to apply the techniques professionally. The instructors were incredibly dedicated and answered all my questions thoroughly. This course not only deepened my knowledge about crystals but also helped me balance my own energies. I wholeheartedly recommend it to anyone interested in holistic healing!""Five star course! I am fascinated with the history of crystals and the cultures that have believed in their powers all throughout history. 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Overview Section 1: Welcome Lecture 1 Module 1 - Welcome Lecture 2 Defining Healing Lecture 3 Meet Your Instructors Lecture 4 Upgrade - Accredited Certification Path Lecture 5 Continued Education - Advanced Practitioner Level 2/3 Continued Education - Adva Section 2: Module 1: From The Heart of The Earth Lecture 6 Introduction to Module 1: From The Heart of The Earth Lecture 7 Lesson 01: How Crystals Are Born - Geological Formation Lecture 8 Lesson 02: The Recipe of a Crystal: Chemical Makeup and Mineral Composition Lecture 9 Lesson 03: The Magic Inside Crystals: Crystallography Lecture 10 Lesson 04: Natural Crystal Shapes & Healing Lecture 11 Lesson 05: Human Crafted Crystal Shapes & Healing Lecture 12 Lesson 06: Crystal Color Magic and Healing Powers Lecture 13 Lesson 07: Crystals Inner Strength: The Mohs Hardness Scale Lecture 14 Lesson 08: Not Just Shiny Rocks - Optical Properties of Crystal Healing Lecture 15 Lesson 09: Bringing It All Together Section 3: Module 2: Crystal Chronicles & Mysteries Lecture 16 Introduction to Module 2: Crystal Chronicles & Mysteries Lecture 17 Lesson 01: Crystal Lore & Stories Around The World Lecture 18 Lesson 02: Megalith Mysteries and Crystal Power Section 4: Module 3: Scientific Connections in Crystal Healing Lecture 19 Introduction to Module 3: Scientific Connections in Crystal Healing Lecture 20 Lesson 01: Earth Science & Crystal Connections Lecture 21 Lesson 02: Exploring Our Crystalline Biology Lecture 22 Lesson 03: Water Science & Crystal Connections Lecture 23 Lesson 04: Sacred Geometry & Crystal Connections Lecture 24 Lesson 05: Psychology & Crystal Connections Lecture 25 Lesson 06: Quantum Possibilities & Crystal Connections Lecture 26 Lesson 07: Crystals in Modern Medicine Section 5: Module 4: Choosing, Cleansing & Charging Your Crystals Lecture 27 Introduction to Module 04: Choosing, Cleansing & Charging Your Crystals Lecture 28 Lesson 01: The Resonance Factor: How Crystals Call to Us Lecture 29 Lesson 02: Cleansing Your Crystals Lecture 30 Lesson 03: Charging Your Crystals Lecture 31 Lesson 04: Storing Your Crystals Lecture 32 Lesson 05: Re-tuning Crystals Again & Again Section 6: Module 5: Healing Techniques with Crystals Lecture 33 Introduction to Module 05: Healing Techniques with Crystals Lecture 34 Lesson 01: The Power of Intention Lecture 35 Lesson 02: Channeling Energy Lecture 36 Lesson 03: Chakra Alignment Lecture 37 Lesson 04: Advanced Chakra Techniques Lecture 38 Lesson 05: Crystal Healing for Our Homes & Spaces Lecture 39 Lesson 06: Crystal Elixirs Lecture 40 Lesson 07: Crystal Jewelry for Healing Lecture 41 Lesson 08: Crystal Grids Section 7: Module 6: Essential Crystals Stones & Mineral Meanings Lecture 42 How To Work with Crystals Lecture 43 Amethyst Lecture 44 Aventurine Lecture 45 Black Tourmaline Lecture 46 Celestite Lecture 47 Citrine Lecture 48 Clear Quartz Lecture 49 Fluorite Lecture 50 Jasper Lecture 51 Labradorite Lecture 52 Lemurian Quartz Lecture 53 Lapis Lazuli Lecture 54 Larimar Lecture 55 Obsidian Lecture 56 Pyrite Lecture 57 Rose Quartz Lecture 58 Tektite Lecture 59 Selenite Lecture 60 Tiger's Eye Lecture 61 Yooperlite Section 8: Module 7: Crystal Programming & Meditations Lecture 62 Guided Meditation 01: Cleanse Your Crystal Lecture 63 Guided Meditation 02: Program Your Crystal Lecture 64 Guided Meditation 03: Rose Quartz Love Amplification Lecture 65 Guided Meditation 04: Citrine Abundance Meditation Lecture 66 Guided Meditation 05: Negative Energy Transmutation With Crystals Section 9: Module 8: Appendix of Crystal Tools & Resources Lecture 67 Crystal Course PDF Download Lecture 68 Alphabetical Crystal Quick Guide : A-E Lecture 69 Alphabetical Crystal Quick Guide : F-J Lecture 70 Alphabetical Crystal Quick Guide : K-O Lecture 71 Alphabetical Crystal Quick Guide : P-T Lecture 72 Alphabetical Crystal Quick Guide : U-Z Lecture 73 Crystal Selection Guide: A-Z for Every Need Lecture 74 Crystals Not Recommended for Water Lecture 75 Elements Within Crystals and Their Connection to Healing Lecture 76 Crystals That Fade In Sunlight Any wanting to learn about crystal healing for their joy or to grow their business and energy healing practices. 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Free Download Hair Coloring - Mastering the Art & Science of Hair Coloring Last updated: 1/2024 Created by: Leza Shahzad MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 13 Lectures ( 36m ) | Size: 752 MB Theory What you'll learn Understanding safety protocols, expiry of products, potential allergic reactions, proper ventilation & the importance of patch testing to ensure client safety. Grasping the specific functions of each tool and how they contribute to the hair coloring process, from mixing colors to precise application. Recognizing and categorizing different hair textures such as fine, medium, coarse, straight, wavy, curly, or kinky. Understanding the structure of the hair, including the cuticle, cortex, and medulla, and how these components influence the hair's ability to retain color. Grasping the levels of hair pigmentation from levels 1 (black) to 10 (lightest blonde) including mix colors with their numbers. Learning about the color wheel, understanding primary and secondary colors and comprehending how these principles apply to hair coloring. Developing skills to identify and rectify color mistakes, understanding how to neutralize unwanted tones, and managing color fading or discrepancies. Recognizing and understanding different tones in hair, such as warm, cool, or neutral tones. Understanding Hair Levels with their underlying pigments and the anti colors for unwanted tones Understanding the different types of developers (peroxide) with the relationship between volume and the level of lifting achieved during the coloring process Learning the proper mixing ratios of developers with hair color to achieve the desired results. Requirements There are no Requirements other than having a notebook to take notes and desirable would be a dose of passion ;) Description Hello, I am a Aleeza a prof. Hair Artist, Certified, best hair Instructor on Udemy & Founder of Lezzaay Beauty Academy. I designed this Masterclass to teach you how to enter the hair Industry successfully.Picture a hair coloring theory course as a vibrant canvas where science meets artistry. It's a captivating journey that dives deep into the intricate world of hues, tones, and the magic of transformation.Throughout this journey, the students uncover the secrets of the color wheel, understanding how various shades, tones, and undertones interact to create breathtaking palettes.Ethics and professionalism are woven into the fabric of this course. Students are guided on maintaining a professional salon environment, respecting client confidentiality, and adhering to safety protocols when working with hair coloring products.Ultimately, this course isn't just a curriculum-it's a passage into a world where science meets artistry, where passion converges with skill, and where each stroke of color tells a unique story of beauty and self-expression.Certification: Obtaining recognized accreditation upon course completion.Career Paths: Exploring job opportunities in salons, freelance work, or starting a personal business.Enroll now & get taught all the fundamentals & expertise a Hair Colorist needs to know, to start a successful Career! Who this course is for Beginners: Those who wish to pursue their career as a hair artist or specialize in hair coloring within the beauty and cosmetology industry. Advanced: Salon professionals seeking to stay updated with the coloring theory, techniques, and knowledge in hair coloring. Individuals passionate about hair care and coloring who want to learn more about the science and art behind coloring techniques Homepage: https://www.udemy.com/course/mastering-the-art-and-science-of-hair-coloring/ Rapidgator https://rg.to/file/a25763ec5217512a408b0aed7cb9b0e1/vvtmn.Hair.Coloring.Mastering.the.Art..Science.of.Hair.Coloring.rar.html Fikper Free Download https://fikper.com/6SG4XaE8UP/vvtmn.Hair.Coloring.Mastering.the.Art..Science.of.Hair.Coloring.rar.html No Password - Links are Interchangeable

Free Download Data Science - Bayesian Linear Regression in Python Published: 3/2025 Created by: Lazy Programmer Inc.,Lazy Programmer Team MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Expert | Genre: eLearning | Language: English | Duration: 30 Lectures ( 4h 47m ) | Size: 1.2 GB Fundamentals of Bayesian Machine Learning Parametric Models What you'll learn Understand Bayesian Linear Regression: Learn how Bayesian inference applies to linear regression using priors and posteriors. Derive and Implement the Model: Work through the math and code Bayesian Linear Regression from scratch in Python. Compare Bayesian vs. Frequentist Methods: Explore key differences and benefits of Bayesian over traditional linear regression. Apply Bayesian Regression to Data: Use probabilistic modeling to analyze real-world datasets and quantify uncertainty. Requirements Python coding: if/else, loops, lists, dicts, sets Numpy and Pandas coding: matrix and vector operations, loading a CSV file Basic math: calculus, linear algebra, probability Linear regression A bit of Bayesian statistics: just know about conjugate priors Description Welcome to Bayesian Linear Regression!I first started this course series on Bayesian Machine Learning many years ago, with a course on A/B Testing. I had always intended to expand the series (there's a lot to cover!) but kept getting pulled in other directions.Today, I am happy to announce that the Bayesian Machine Learning series is finally back on track!In the first course, a lot of students asked, "but where is the 'machine learning'?", since they thought of machine learning from the typical supervised/unsupervised parametric model paradigm. The A/B Testing course was never meant to look at such models, but that is exactly what this course is for.If you've studied machine learning before, then you know that linear regression is the first model everyone learns about. We will approach Bayesian Machine Learning the same way.Bayesian Linear Regression has many nice properties (easy transition from non-Bayesian Linear Regression, closed-form solutions, etc.). It is best and most efficient "first step" into the world of Bayesian Machine Learning.Also, let's not forget that Linear Regression (including the Bayesian variety) is simply very practical in the real-world. Bayesian Machine Learning can get very mathematical, so it's easy to lose sight of the big picture - the real-world applications. By exposing yourself to Bayesian ideas slowly, you won't be overwhelmed by the math. You'll always keep the application in mind.It should be stated however: Bayesian Machine Learning really is very mathematical. If you're looking for a scikit-learn-like experience, Bayesian Machine Learning is definitely too high-level for you. Most of the "work" involves algebraic manipulation. At the same time, if you can tough it out to the end, you will find the results really satisfying, and you will be awed by its elegance.Sidenote: If you made it through my Linear Regression and A/B Testing courses, then you'll do just fine.Suggested Prerequisites:Python coding: if/else, loops, lists, dicts, setsNumpy and Pandas coding: matrix and vector operations, loading a CSV fileBasic math: calculus, linear algebra, probabilityLinear regressionBayesian Machine Learning: A/B Testing in Python (know about conjugate priors) Who this course is for Data scientists and ML practitioners who want to master Bayesian Linear Regression from theory to code. Students and professionals curious about Bayesian methods and their real-world applications. ML enthusiasts who love understanding models mathematically and implementing them from scratch. Anyone with basic Python and probability skills looking to apply Bayesian regression in data science. Anyone who wants to go beyond Scikit-Learn and truly understand Bayesian Machine Learning. Homepage: https://www.udemy.com/course/data-science-bayesian-linear-regression-in-python/ Rapidgator https://rg.to/file/03bd0e225236df1f4840a5443974262f/lrxyy.Data.Science.Bayesian.Linear.Regression.in.Python.part1.rar.html https://rg.to/file/6a14217cfd0285e833ba4a4c1d4aaaab/lrxyy.Data.Science.Bayesian.Linear.Regression.in.Python.part2.rar.html Fikper Free Download https://fikper.com/P5YbDoyx8L/lrxyy.Data.Science.Bayesian.Linear.Regression.in.Python.part1.rar.html https://fikper.com/1g29XKJemc/lrxyy.Data.Science.Bayesian.Linear.Regression.in.Python.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - The Science Of Mixed Martial Arts Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.96 GB | Duration: 3h 33m Master Your Conditioning, Strength, and Fight Performance with Evidence-Based Training Advice! What you'll learn Understand how food is converted to energy, and what ATP is. Understand what the ATP-PCr system is and how it works and recognize performance adaptations that result from training the ATP-PCr system. Understand how anaerobic glycolysis works and specify performance adaptations that arise from targeting anaerobic glycolysis. Identify how ATP is produced in aerobic energy metabolism and understand performance adaptations that arise from targeting aerobic energy systems. Appreciate how all energy systems work together. Understand the pros and cons of low and high intensity training. Know how to manipulate movement pattern, work interval, rest interval and exercise intensity to train: Aerobic energy systems Glycolytic energy systems & mo re Understand the complexity of muscles and how they contract. Understand different muscle fiber types and their properties. Be familiar with the factors that influence strength and power development. Identify the different training adaptations that can result from well-designed MMA conditioning program. Understand fundamental training principles. All about selecting exercises. Identify the optimal order of exercises. Determine training frequency based on training status. Assign load & repetitions based on the training goal. Assign training volumes according to the athletes training status & training goal. Determine resting period lengths based on the training goal. Appreciate how your body responds to training. Explain the general adaptation syndrome. Define overtraining, supercompensation and a mal-adaptation to training. Identify the signs and symptoms of overtraining. Understand how to lower your risk of overtraining. Components of a pre-exercise warm-up ID the factors that affect flexibility Select & apply appropriate stretching methods to increase joint range of motion. Understand key concepts in periodization. Appreciate the art and science of periodization. Identify the five phases of a fight plan; General preparatory phase; Fight-specific phase; Fight camp; The taper; The transition. Understand how to implement a testing battery to assess physical and mental performance in key domains Requirements No experience needed. Description The Science of MMA: Train Smarter, Fight Longer, Dominate the CageMost fighters train hard, but very few train smart. The biggest mistake in MMA isn't a lack of effort-it's following outdated methods that don't maximize your potential.Welcome to The Science of MMA, where you'll uncover the evidence-based training principles that separate elite fighters from the rest. Created by: Dr. Jason Gillis and The MMA Training Bible, this course breaks down the metabolic, muscular, and strategic aspects of fight preparation, so you can optimize your endurance, strength, and performance.What You'll Learn:- How your body powers high-intensity efforts and why fighters gas out- The truth about endurance training-low vs. high intensity for MMA- The science of explosive strength & power-how to train for knockout force- How to structure your workouts for maximum fight-day performance- The hidden dangers of overtraining and how to avoid performance plateaus- Periodization strategies to peak at the right time- How to implement a performance testing system to track progressWho Is This Course For?- MMA fighters, coaches, and trainers who want to optimize training- Combat athletes looking to increase endurance, strength, and power- Fitness enthusiasts who want to train like an elite fighter Start Training Smarter Today-Enroll now ! Overview Section 1: The Metabolic Demands of MMA Lecture 1 The Metabolic Demands of MMA Section 2: Building Unstoppable Endurance Lecture 2 Building Unstoppable Endurance Section 3: Muscle Structure & Function Lecture 3 Muscle Structure & Function Section 4: Building Explosive Strength & Power Lecture 4 Building Explosive Strength & Power Section 5: How to Avoid Overtraining Lecture 5 How to Avoid Overtraining Section 6: Warm-ups & Flexibility Lecture 6 Warm-ups & Flexibility Section 7: Periodization in MMA Lecture 7 Periodization in MMA Section 8: Performance Testing in MMA Lecture 8 Performance Testing in MMA This course is designed for fighters, coaches, and athletes who want to train smarter and optimize their performance using science-backed methods. 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Free Download Udemy - Science Of Getting Rich Simplified With Eft Last updated: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.15 GB | Duration: 3h 0m Abundance, Prosperity and Transforming Your Life What you'll learn Use the powerful principles in The Science of Getting Rich for prosperity and fulfillment Use Holistic EFT (Emotional Freedom Techniques) tapping to find hidden blocks and clear them Accelerate your spiritual growth and prosperity with practical strategies and techniques you can immediatley use in your everyday life. How to take appropriate and inspired action to manifest your dreams and goals How to create the life you truly want in an uplifting, practical way Requirements No pre-requisites or experience necessary. Learn at your own pace with plenty of guidance with the materials you will receive. A desire to help yourself (and others if you choose) live a soulful life, a life of joy and fulfillment. Interest in taking your next step to fulfill your dreams and goals Description Are you ready to learn a new, powerful, profound approach for creating abundance and living fully?This Science of Getting Rich Course with EFT gives you a wonderful opportunity to learn a powerful combination of information and strategies so you can maximize your results.Here's why this course is so transformational. It's based on a two things:First, you'll learn the Science of Getting Rich's time-tested principles, strategies and actionable techniques for creating abundance. There is a reason why this unique classic book from the 1900's has withstood the test of time- that's because it works and is so profound and very usable.Second, to maximize your results, you will receive our accompanying guidebook called the Science of Getting Rich Simplified with EFT. It has easy-to-read summaries of the original Science of Getting Rich book's chapters -- plus insightful commentaries to enrich the material. It will help you learn and easily integrate it into your life.PLUS, you will learn how to use EFT (Emotional Freedom Techniques) with the Science of Getting Rich material. EFT is the holistic tapping technique to maximize your results, a premier energy healing technique that some call a modern-day miracle because it's so quick and effective. EFT based on holistically balancing the body's systems for optimal functioning.And you will learn how to make EFT even more effective, you will learn how we combine our GTT[Getting Thru] techniques with EFT. Using our holistic proven approach with EFT will let you pinpoint hidden blocks -- then you know exactly what to clear with EFT for full effectiveness.So you're going to get a powerful combination of the Science of Getting Rich material that will show you how to think and act in a certain way along with the EFT energy healing tapping technique. You get written step-by-step instructions and wonderful detailed video demonstrations to make learning easier, enjoyable and deeper.What you will learn in this course...Use the timeless principles in The Science of Getting Rich for prosperity and fulfillment in your lifeKnow how to think and do things "in a certain way" that creates success. Have powerful energy techniques to clear blocks at even deep levels for optimal lasting results Learn practical actionable strategies to create abundance and more Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Getting the Moat Out of the Course: 10 Ways Lecture 3 Best Practices: How to get the most from this course Section 2: How to do EFT (Emotional Freedom Techniques) Lecture 4 How to do EFT Lecture 5 Basic EFT Video and Handout Section 3: Guidebook: Science of Getting Rich Simplified with EFT Lecture 6 Science of Getting Rich Simplified with EFT Guidebook Lecture 7 This is the original classic Science of Getting Rich book by Wallace Wattles Section 4: Money Monster Reframe with EFT Lecture 8 Money Monster Reframe Section 5: Why Not Me? Lecture 9 Why Not Me? Section 6: Backpack Proces and Miracle Reframe Lecture 10 Backpack Process and Miracle Reframe Section 7: Bringing What You Want Down to Size Lecture 11 Bringing What You Want Down to Size Section 8: Pain of Paying Lecture 12 Pain of Paying Section 9: Competition Monster Lecture 13 Competition Monster Section 10: The Reality Shift and Clutter Lecture 14 The Reality Shiftwith EFT and Clutter Section 11: Your Brightest Possible Future Lecture 15 Your Brightest Possible Future Section 12: Quiz on Science of Getting Rich Simplified with EFT Section 13: Quiz 2: Quiz on Course Videos Section 14: Deeper insight question Lecture 16 Self reflections Section 15: Further Abundance, Healing and Spiritual Growth Lecture 17 Going further... 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Free Download Udemy - Muscle science Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 52m | Size: 1.55 GB the secret of muscle growth What you'll learn Learn the complex secrets of muscle growth with valuable insider tips from veterans of the fitness scene. Discover the types of growth stimulation. The 2 types of hypotrophy and hyperplasia, as well as mental stimulation (mind body connection). Explore the topic of nutrition in detail. Find out why most nutrition plans are ineffective without analysis (macro and micronutrients as well as the microbiome Find out why the rest and repair phase is just as important as training and nutrition. Learn the holistic process of muscle growth. Requirements No prior knowledge is necessary, everything is explained simply and in detail. Description This unique course contains valuable insights from fitness and bodybuilding veterans into the fascinating world of muscle growth and overall holistic fitness.In this course we will unlock the science of muscle growth on the fundamental three sections : STIMULUS , NUTRITION and RESTUnderstanding the science behind muscle growth is not just a luxury for fitness enthusiasts; it's a necessity. It's the key that unlocks the door to a rapid achieving of your fitness goals.Throughout this course, we'll dissect the intricate mechanisms that drive muscle development. We'll explore how your body responds to various stimuli, the role of nutrition in fueling growth, and the critical importance of rest and repair.By the end of this course, you'll not only have the tools to build muscle but the knowledge to do it in a way that stands the test of time.Muscle growth isn't just about lifting weights; it's a complex physiological process and understanding how your muscles respond to stimuli. Nutrition is more than just fuel for the body; it is a catalyst for growth, repair, and adaptation. As we delve into the science behind muscle-nourishing nutrients, meal timing, and strategic dietary choices, you'll gain insights that will empower you to optimize your nutrition for maximum muscle gains.We talk about the fascinating realm of psychic stimuli and their impact on muscle growth. As the power of the mind plays a crucial role in optimizing gains. The powerful connection between the mind and muscle growth is backed by intriguing scientific evidence. Understanding how psychic stimuli, including mindset, motivation, and visualization, influence the body at a cellular level adds a fascinating dimension to our exploration.We'll explore the intricacies of muscle anatomy and physiology, breaking down the science behind hypertrophy, hyperplasia, nutrition and rest & repair. It is truly a overall holistic fitness approach Who this course is for Exponents of the fitness and bodybuilding scene. Personal trainers, physiotherapists, nutritionists, lifestyle coaches Homepage: https://www.udemy.com/course/muscle-science/ Rapidgator https://rg.to/file/dfcc18af2213c090d9fcaf1fdfe05275/dwvbk.Muscle.science.part1.rar.html https://rg.to/file/c1c808f591feedb2231d4c24bf3947bb/dwvbk.Muscle.science.part2.rar.html Fikper Free Download https://fikper.com/cbyxmB7UQs/dwvbk.Muscle.science.part1.rar.html https://fikper.com/DDbYnGWjmT/dwvbk.Muscle.science.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Google Colab For Data Science & Ai Using Python Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.77 GB | Duration: 8h 46m Master Python Programming from Scratch Using Google Colab -Hands-on, Beginner-Friendly, and Practical. What you'll learn Understand Python fundamentals, including syntax, data types, and control flow. Work with Google Colab, an online Jupyter-based platform, without the need for local installations. Store and manipulate data using variables, lists, tuples, dictionaries, and sets. Make decisions using conditional statements and automate tasks with loops. Create reusable functions, work with arguments, and explore lambda functions. Work with classes, objects, inheritance, polymorphism, and encapsulation. Read, write, and manage text, CSV, and JSON files while handling errors effectively. Explore NumPy, Pandas, Matplotlib, Seaborn, and Plotly for data manipulation and visualization. Load, clean, and analyze datasets using Pandas and visualize insights with Matplotlib and Seaborn. Fetch and process data from external sources using the requests library. Apply pattern matching for data validation and text processing. Learn advanced Python concepts for efficient programming. Understand fundamental concepts, train simple models, and evaluate their performance. Requirements Basic Computer Skills - Comfortable with using a computer, browsing the internet, and managing files. A Google Account - Required to access Google Colab (free to create). Internet Access - Since Google Colab runs online, a stable internet connection is necessary. Curiosity and Willingness to Learn - A problem-solving mindset and eagerness to explore Python. Basic Mathematics Understanding (Optional) - A general understanding of basic math concepts (addition, subtraction, multiplication, division) will be helpful, but not mandatory. No Software Installation Required! - Since we will be using Google Colab, there is no need to install Python or any additional software on your local machine. Everything runs in the cloud! Description Learn Python from Scratch Using Google Colab - A Hands-On, Beginner-Friendly Approach!Python is one of the most powerful, versatile, and beginner-friendly programming languages used in web development, data science, automation, and artificial intelligence. In this course, you will learn Python from scratch using Google Colab, a free, cloud-based coding platform that eliminates the need for software installation, making it easy to write and execute Python code from any device.Through step-by-step lessons, hands-on exercises, and real-world examples, you will build a strong foundation in Python programming and develop the skills needed for practical applications. Whether you are an absolute beginner, a student, or a professional looking to enhance your technical skills, this course will provide the structured learning experience you need.What You Will LearnPython Basics - Understand Python syntax, variables, data types, operators, and expressions. Control Flow and Loops - Implement conditional statements (if-else), loops (for, while), and loop control mechanisms (break, continue).Functions and Modular Programming - Write reusable code using functions, parameters, return values, and lambda functions.Working with Data Structures - Learn how to store and manipulate data efficiently with lists, tuples, dictionaries, and sets Object-Oriented Programming (OOP) - Understand the principles of OOP, including classes, objects, inheritance, encapsulation, and polymorphism.File Handling & Exception Management - Read, write, and process text and CSV files while handling errors efficiently using try-except blocks.Hands-On with Google Colab - Explore the features of Google Colab, including code cells, markdown, file management, and library integration. Working with Python Libraries - Use NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.Regular Expressions & API Interactions - Apply pattern matching for text processing and interact with external REST APIs using the requests library.Advanced Python Features - Learn about decorators, iterators, generators, and context managers for writing efficient Python code.Data Analysis and Visualization - Load and analyze datasets, clean and transform data, and create interactive plots using Plotly.Introduction to Machine Learning - Get a basic understanding of machine learning, explore data preprocessing, and train simple models using scikit-learn.Course Highlights100% Hands-On Learning - Apply Python concepts in real-world coding exercises and projects.No Installations Required - Work directly in Google Colab, eliminating setup complexities. Step-by-Step Guidance - Every concept is explained with clear examples and practice exercises. Practical Applications - Learn how Python is used in automation, data science, and web development. Interactive Coding Experience - Code along with instructor-led exercises in a structured environment. Overview Section 1: Introduction to Python and Google Colab Lecture 1 Origins and evolution of Python Lecture 2 Why Python is popular ? Lecture 3 Compare and contrast Python with other languages Lecture 4 Showcase real-world applications Lecture 5 Procedural Programming Lecture 6 Object-Oriented Programming (OOP) Lecture 7 Functional Programming Lecture 8 Local Installation Lecture 9 Dependency Management Lecture 10 Virtual Environments Lecture 11 What is Google Colab It_s purpose & Advantages ? Lecture 12 Setting up a Google Colab account Lecture 13 Detailed tour of the Colab interface (menus, toolbar, file explorer). Lecture 14 Explain the concept of cells Lecture 15 Demonstrate basic cell operations (adding, deleting, moving, running). Lecture 16 Python Basics-Variables Lecture 17 Data Types - Integers & Type Conversion. Lecture 18 Operators - Arthmetic, Comparision & Logical Operators Lecture 19 String Manipulations Lecture 20 Input() Function Lecture 21 Print() Function Lecture 22 Comments in Python Lecture 23 Python Code Style Guidelines Lecture 24 Hands On - Write a program that takes the user's name as input and greets them Lecture 25 Hands On - Write a program that performs basic arithmetic operations Lecture 26 Hands On - Format the Notebook Section 2: Module 2: Control Flow and Functions Lecture 27 Conditional Statements : If , Elif , Else Lecture 28 Conditional Statements : Nested If Statements Lecture 29 Loops : For Loop Lecture 30 Loops : While Loop Lecture 31 Loops : Nested Loops Lecture 32 Loop Control Statements : Break Lecture 33 Loop Control Statements : Continue Lecture 34 Loop Control Statements : Pass Lecture 35 Functions : Definition Lecture 36 Functions: Parameter and Return Values Lecture 37 Functions: Default Arguments Lecture 38 Functions: Keyword Arguments Lecture 39 Functions: Scope of Variables Lecture 40 Lambda Functions : Anonymous Functions Lecture 41 Lamdba Functions : Syntax of Lambda Functions Lecture 42 Lambda Functions : Use Cases Lecture 43 Hands On - Write a function to calculate the factorial of a number Lecture 44 Hands On - Write a function to check if a number is prime. Lecture 45 Hands On - Write a function to reverse a string Lecture 46 Hands On - Create a function to calculate the area of different shapes. Section 3: Module 3: Data Structures Lecture 47 Lists : Creating lists using Square brackets Lecture 48 Lists : Indexing and slicing accessing elements by their position Lecture 49 Lists : Modifying Lists Lecture 50 Lists : List Methods Lecture 51 Lists : List Comprehensions Lecture 52 Lists : Iterating over Lists Lecture 53 Tuples : Creating tuples using Parentheses() Lecture 54 Tuples : Accessing Elements Lecture 55 Tuples : Immutability Lecture 56 Tuples : Tuples use cases Lecture 57 Dictionaries : Creating Dictionaries Lecture 58 Dictionaries : Accessing Values Lecture 59 Dictionaries : Modifying Dictionaries Lecture 60 Dictionaries : Dictionary Methods Lecture 61 Dictionaries : Dictionary Comprehensions Lecture 62 Dictionaries : Iterating over Dictionaries Lecture 63 Sets : Iterating over Dictionaries Lecture 64 Sets : Uniqueness Lecture 65 Set Operations Lecture 66 Set Method Lecture 67 Hands On - Create a dictionary to store student information Lecture 68 Hands On - Use sets to find common elements between two lists. Lecture 69 Hands On - Implement a shopping cart using a dictionary to store items Lecture 70 Hands On - Write a program to find the most frequent element in a list Absolute Beginners in Programming - If you've never written a line of code before, don't worry! This course will guide you step by step in a beginner-friendly way.,Students & Educators - Ideal for students learning Python for the first time and educators who want to introduce Python programming in their curriculum.,Aspiring Data Scientists & Analysts - If you want to explore data science, machine learning, or automation, Python is an essential skill, and this course will help you build a strong foundation.,Professionals Looking to Upskill - Whether you're in IT, finance, marketing, or any other field, Python can help automate tasks, analyze data, and enhance productivity.,Developers & Programmers from Other Languages - If you have experience in other programming languages like Java, C++, or JavaScript and want to learn Python quickly, this course will provide a smooth transition.,Business & Non-Tech Professionals - Learn how Python can be used for automation, basic data analysis, and productivity enhancements without needing extensive programming knowledge.,Machine Learning & AI Enthusiasts - Python is the foundation of artificial intelligence and machine learning. 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Free Download Udemy - 21 data science portfolio projects in 21 days Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 6h 41m | Size: 6.25 GB Master Machine Learning & AI: From Time Series Analysis to Reinforcement Learning with Real-World Applications What you'll learn Build and implement various machine learning models for real-world business applications, from time series forecasting to natural language processing Master practical data science techniques including customer segmentation, sentiment analysis, and predictive modeling using industry-standard tools Develop end-to-end AI solutions for business problems such as fraud detection, product recommendations, and risk analysis Apply advanced analytics techniques to create actionable insights from complex datasets across multiple domains (finance, retail, healthcare, etc.) Requirements Basic understanding of Python programming language Familiarity with fundamental mathematical concepts (statistics, probability, and algebra) No prior machine learning or AI experience required A computer with internet access and ability to install required software packages Basic understanding of data structures and algorithms would be helpful but not mandatory Description This comprehensive data science course is structured as an intensive 21-day journey through the most relevant and in-demand areas of machine learning and artificial intelligence. 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Free Download Statistics For Data Science & Business Analytics by Mandar Zarekar Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.66 GB | Duration: 4h 58m Learn key statistical concepts and techniques to analyze data with IIM Ahmedabad Alumnus What you'll learn Better understanding of key concepts and properties in statistics Understand the connection of key concepts with real life scenarios Learn basic probability concepts used widely in Data science, Analytics, medicinal researches and other imprtant fields Learn Descriptive and Inferential Statistics and it's real life application Learn everything from Probabiity to Hypothesis testing and different analysis Requirements Anyone who is eager to learn Statistics with real life applications Anyone who is looking forward to expand the horizons of understanding of statistics No prior knowledge of Statistics required Description Master the Fundamentals of Statistics and Elevate Your Data Analysis Skills!Are you looking to build a strong foundation in statistics for data science, analytics, and decision-making? 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Learn to use Cloud computing resources Master the Python 3 programming language for Data Handling Master Pandas 2 and 3 for Advanced Data Handling Requirements The four ways of counting (+-*/) Some Experience with Data Science, Data Analysis, or Machine Learning Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended Access to a computer with an internet connection Programming experience is not needed and you will be taught everything you need The course only uses costless software Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included Description Welcome to the course Advanced Data Science Methods and Algorithms with Pandas and Python!Data Science is expanding and developing on a massive and global scale. 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