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Free Download Exploratory Data Analysis in Python, Pandas & Excel Published 10/2024 Created by Asim Noaman Lodhi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 43 Lectures ( 2h 46m ) | Size: 1.56 GB Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome! What you'll learn Exploratory data analysis with Excel, Pandas & Python A course about how to approach a dataset for the first time How to perform EDA Analysis with Power Query Apply your skills to real-life business cases Data Analysis & Exploratory Data Analysis Requirements Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc) Description Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server in Comprehensive B in Comprehensive Bootcamp. Step-by-step projects with clear explanations. EDA is an important step of data science and machine learning.With this course, the student will learn:How to visualize information that is hidden inside the datasetHow to visualize the correlation and the importance of the columns of a datasetSome useful Python librariesThis is the best course for people who have just learnt python basics(prerequisite for this course) and want to become Data Analyst/Data Scientist.Before diving into data modeling, it's crucial to understand your data. EDA is the process of analyzing data sets to summarize their main characteristics, often with visual methods. You'll learn how to identify trends, patterns, and outliers using visualization tools like Matplotlib and Seaborn. This step is essential for uncovering insights and ensuring data quality.Everyone who want to step into Data Science/Data Analytics. Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports.Resolve common issues in broken or incomplete data sets. Learn python in detail and get exposure. good luck and hands on python. Who this course is for Data analysts and business analysts Homepage https://www.udemy.com/course/exploratory-data-analysis-in-python-pandas-excel/ Screenshot Rapidgator https://rg.to/file/4289135d48d2e35b67df8c740aeeb5a2/glcze.Exploratory.Data.Analysis.in.Python.Pandas..Excel.part2.rar.html https://rg.to/file/7c4910b6578881ce5ec5c76448691965/glcze.Exploratory.Data.Analysis.in.Python.Pandas..Excel.part1.rar.html Fikper Free Download https://fikper.com/71ZKrt1tov/glcze.Exploratory.Data.Analysis.in.Python.Pandas..Excel.part2.rar.html https://fikper.com/ENBM1e0llq/glcze.Exploratory.Data.Analysis.in.Python.Pandas..Excel.part1.rar.html No Password - Links are Interchangeable

Free Download Data Cleaning using pandas and pyspan Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 57m | Size: 357 MB Master Data Cleaning with pandas and pyspan: Essential Techniques for Clean, Accurate, and Ready-to-Use Datasets What you'll learn Recognize opportunities for data cleaning and prepare your dataset for the cleaning process. Implement common data cleaning steps such as handle missing values and formatting date/time columns. Understand and implement complex data cleaning tasks such as outlier removal and splitting/creating new columns. Develop and apply custom data transformation techniques to standardize and enhance dataset quality. Requirements Basic understanding of Python programming. Understanding of using basic libraries like Pandas. A computer with internet access. Description Master the essential techniques of data cleaning with pandas and pyspan in Python! This beginner-friendly course will help you transform messy, raw data into clean, ready-to-use datasets for analysis. Data cleaning is a crucial first step in any data project, and in this course, you'll learn practical skills to tackle common data issues.You'll learn how to:Handle missing data effectively.Detect and remove outliers.Format and organize data for better clarity.Simplify your data cleaning process using pyspan.We'll start with a simple dataset, introducing basic data cleaning techniques step by step. By the end of the course, you'll have a solid foundation in using Python's pandas and pyspan libraries to clean and prepare data.No prior data cleaning experience is required, but basic knowledge of Python is helpful. This course is perfect for beginners, aspiring data analysts, or anyone looking to improve their data preparation skills.Throughout the course, you'll work on practical exercises that will help you apply the techniques you learn in real-world scenarios. By completing this course, you'll be ready to clean and prepare datasets for analysis with confidence. Whether you're entering the field of data analysis or just want to level up your Python skills, this course will provide the essential foundation you need. Who this course is for This course is designed for anyone working with data, including data analysts, data scientists, and aspiring professionals looking to enhance their data cleaning skills. If you frequently handle messy datasets and want to streamline your data preparation process using Python, this course will be especially valuable. It's also ideal for students and beginners with basic Python knowledge who are eager to master Pandas and Pyspan for data cleaning tasks. Whether you're in the tech industry or just starting your data journey, this course will equip you with essential skills. Homepage https://www.udemy.com/course/data-cleaning-using-pandas-and-pyspan/ Rapidgator https://rg.to/file/84ac7dedfd62d274072b5ee456247849/euoui.Data.Cleaning.using.pandas.and.pyspan.rar.html Fikper Free Download https://fikper.com/JYLAsnaPKE/euoui.Data.Cleaning.using.pandas.and.pyspan.rar.html No Password - Links are Interchangeable

Free Download The 2024 Pandas Bootcamp - Advanced Data Analysis with Python Published 10/2024 Created by Travis Cuzick MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 188 Lectures ( 19h 21m ) | Size: 6 GB Master Pandas and Python with real-world datasets and 200+ hands-on exercises! Go from beginner to expert Data Analyst!t What you'll learn: Master the fundamentals of Python programming for data analysis Leverage the powerful Pandas library to manipulate and analyze complex datasets Fetch and import external datasets into Pandas from various sources Handle missing data, duplicates, and data type conversions Filter datasets with logical criteria using SQL-like operations Merge and combine multiple datasets efficiently Create insightful summary views by grouping and aggregating data Pivot and reshape datasets for deeper insights Manipulate string data and harness the power of regular expressions Perform time series analysis and calculations on datetime data Visualize your findings with various types of plots and charts Transform data using custom Python functions and Pandas methods Requirements: No programming experience is required All you need is a computer with internet access Description: Master data analysis with Python and Pandas: the most comprehensive AND effective course anywhere!Welcome to the ultimate course on data analysis using Python and the powerful Pandas library. Whether you're a complete beginner or an experienced programmer looking to level up your analytical skills, this course is designed to take you from zero to data manipulation and analysis guru.What makes this course special?Proven success: Over 100,000 students have used my courses to master other data analysis tools like SQL, Excel, and Power BI No prerequisites: Start from scratch or jump ahead if you're an experienced programmerStep-by-step approach: I break down every concept step-by-step, never assuming knowledge of any concepts that haven't already been coveredReal-world problem-solving: This course is jam-packed with examples using real-world datasets, from house sales data to UFO sightings!LOTS of practice: Literally hundreds(!) of exercises are integrated throughout the course, providing immediate reinforcement after each conceptComprehensive coverage: We progress from basic Python programming to advanced data transformations with Pandas, covering every step in betweenHere's what you'll learn:Master the fundamentals of Python programming, specifically tailored for data analysisHarness the full power of the Pandas library to manipulate and analyze complex datasetsLearn how to fetch and import external datasets into Pandas from various sourcesPerform exploratory data analysis (EDA), including a range of statistical measuresDive deep into indexing, sorting, filtering, and updating Pandas DataFramesLearn how to handle missing dataFilter large datasets using SQL-like operations and logical criteriaMerge and combine multiple datasets efficientlyCreate insightful summary views by grouping and aggregating dataManipulate string data and harness the power of regular expressionsPerform time series analysis and calculations on datetime dataCreate insightful visualizations to communicate your findings effectivelyApply functional programming concepts to streamline your data analysisTransform data using custom Python functions and Pandas methodsBy the end of this course, you'll have the skills to:Confidently work with large datasets using Python and PandasPerform complex data transformations and analysisCreate insightful visualizations to communicate your findingsApply functional programming concepts to data analysisTackle real-world data problems with easeAbout your instructor: I'm Travis Cuzick, and I've taught over 100,000 students how to leverage data analysis tools like SQL, Excel, Power BI, and Python. 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Free Download NumPy, Pandas, & Python for Data Analysis A Complete Guide Published 9/2024 Created by Sara Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 33 Lectures ( 4h 31m ) | Size: 1.24 GB Learn Data Analysis Techniques with Python, NumPy, and Pandas: From Data Cleaning to Advanced Visualization What you'll learn: Introduction to Jupyter Notebook Basic Python programming concepts Installing NumPy & Pandas Creating NumPy arrays from Python lists Mathematical functions in NumPy Reading and writing files with NumPy Creating and understanding DataFrames DataFrame indexing and selection Adding, removing, and updating data Data filtering, sorting, and grouping Time series analysis and manipulation Identifying and handling missing data Merging, joining, and concatenating DataFrames Applying functions to DataFrames Customizing plots (titles, labels, colors) Creating complex visualizations (histograms, scatter plots, box plots) Memory optimization techniques Requirements: No prior knowledge is required. Description: Unlock the full potential of data analysis with NumPy, Pandas, and Python in this comprehensive, hands-on course! Whether you're a beginner or looking to sharpen your skills, this course will guide you through everything you need to master data analysis using Python's most powerful libraries.You will learn to:Python for Data Analysis: Master the fundamentals of Python, the most popular language for data science, including core programming concepts and essential libraries.NumPy Essentials: Dive deep into NumPy for fast numerical computations, array manipulation, and performance optimization.Pandas Mastery: Learn how to efficiently work with large datasets using Pandas, the powerful data manipulation library. Handle, clean, transform, and analyze real-world data with ease.Data Visualization: Understand how to represent your data visually to gain insights using Python libraries like Matplotlib and Seaborn.Real-World Projects: Apply your knowledge to real-world datasets, tackling data challenges from start to finish-exploring, cleaning, and drawing insights.What you'll learn:Fundamentals of Python programming for data analysisIntroduction to NumPy: Arrays, operations, and performance techniquesDeep dive into Pandas: DataFrames, Series, and advanced data manipulationData cleaning and preprocessing techniquesExploratory data analysis (EDA) with PandasReal-world case studies and hands-on projectsEnroll today and take the first step toward mastering data analysis with Python, NumPy, and Pandas! Who this course is for: Anyone looking to enhance their data analysis skills using Python Beginners interested in data analysis with Python Data enthusiasts looking to gain in-demand skills Homepage https://www.udemy.com/course/numpy-pandas-python-for-data-analysis-a-complete-guide/ TakeFile https://takefile.link/f0hljzquin6x/bepev.NumPy.Pandas..Python.for.Data.Analysis.A.Complete.Guide.part1.rar.html https://takefile.link/ee9n2rzxblvq/bepev.NumPy.Pandas..Python.for.Data.Analysis.A.Complete.Guide.part2.rar.html Rapidgator https://rg.to/file/6ea9fea7c8b740e0fe6031a40a50c05a/bepev.NumPy.Pandas..Python.for.Data.Analysis.A.Complete.Guide.part1.rar.html https://rg.to/file/35bd2af37a41d44fe9ae82166cdd3105/bepev.NumPy.Pandas..Python.for.Data.Analysis.A.Complete.Guide.part2.rar.html No Password - Links are Interchangeable

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Udemy - Data Analysis in Python with Pandas English | MP4 | 1280x720 | 54 kbps | 48 KHz | 5 hours | 652 Mb Genre: eLearning Getting an introduction to doing data analysis with the Python pandas library with hours of video and code. Ever wonder how you can best analyze data in python? Wondering how you can advance your career beyond doing basic analysis in excel? Want to take the skills you already have from the R language and learn how to do the same thing in python and pandas? THEN THIS COURSE IS FOR YOU! By taking the course, you will master the fundamental data analysis methods in python and pandas! You'll also get access to all the code for future reference, new updated videos, and future additions for FREE! You'll Learn the most popular Python Data Analysis Technologies! readmore By the end of this course: - Understand the data analysis ecosystem in Python. - Learn how to use the pandas data analysis library to analyze data sets - Create how to create basic plots of data using MatPlotLib - Analyze real datasets to better understand techniques for data analysis At the end of this course you will have learned a lot of the tips and tricks that cut down my learning curve as a business analyst and as a Master's Student at UC Berkeley doing data analysis. I designed this course for those that have an intermediate programming ability and are ready to take their data analysis skills to the next level. You'll understand cutting edge techniques used by data analysts, data scientists, and other data researches in Silicon Valley. 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Udemy - Data Analysis in Python with Pandas MP4 | Video: 1280x720 | 54 kbps | 48 KHz | Duration: 5 Hours | 652 MB Genre: eLearning | Language: English Getting an introduction to doing data analysis with the Python pandas library with hours of video and code. Ever wonder how you can best analyze data in python? Wondering how you can advance your career beyond doing basic analysis in excel? Want to take the skills you already have from the R language and learn how to do the same thing in python and pandas? THEN THIS COURSE IS FOR YOU! By taking the course, you will master the fundamental data analysis methods in python and pandas! You'll also get access to all the code for future reference, new updated videos, and future additions for FREE! You'll Learn the most popular Python Data Analysis Technologies! readmore By the end of this course: - Understand the data analysis ecosystem in Python. - Learn how to use the pandas data analysis library to analyze data sets - Create how to create basic Descriptions of data using MatDescriptionLib - Analyze real datasets to better understand techniques for data analysis At the end of this course you will have learned a lot of the tips and tricks that cut down my learning curve as a business analyst and as a Master's Student at UC Berkeley doing data analysis. I designed this course for those that have an intermediate programming ability and are ready to take their data analysis skills to the next level. You'll understand cutting edge techniques used by data analysts, data scientists, and other data researches in Silicon Valley. Complete with working files and code samples, over 5 hours with 40+ lectures you'll learn all that you need to know to turn around and apply data analysis strategies to the data that you work with. You'll be able to work along side the instructor as we work through different data sets and data analysis approaches using cutting edge data science tools! What are the requirements? Students need to have Python installed on their computer. Students should be familiar with basic data analysis concepts. Students should have experience writing, at a minimum, basic programs in python. What am I going to get from this course? Over 34 lectures and 5 hours of content! Perform data analysis with python using the pandas library. Understand some of the basic concepts of data analysis. Have used n-dimensional arrays in NumPy as well as the pandas Series and DataFrames to analyze data. Learned the basics of Descriptionting with matDescriptionlib What is the target audience? This course is best suited for people that need a deeper understanding of data analysis tools available today. This course is not suited for those that want to learn how to program and have no prior programming experience. This course is great for introductory to intermediate python programmers or those that come from a statistical software background like R or SPSS. Analysts who want to better understand a technical approach to analyzing data. Scientists who want to step away from more academic programming languages and use a general purpose language like python. Programmers who are coming from a technical background but want to understand the pydata ecosystem a bit better. Those that are interested in learning a bit more about data analysis. Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me Download ( NitroFlare ) http://nitroflare.com/view/50A49A768CCC593/k5ejc.Data.Analysis.in.Python.with.Pandas.part1.rar http://nitroflare.com/view/1E5C6B04F845DBD/k5ejc.Data.Analysis.in.Python.with.Pandas.part2.rar Download ( Uploaded http://uploaded.net/file/oe3pgu3p/k5ejc.Data.Analysis.in.Python.with.Pandas.part1.rar http://uploaded.net/file/2qozoqli/k5ejc.Data.Analysis.in.Python.with.Pandas.part2.rar Download ( Rapidgator ) http://rapidgator.net/file/7a5e6a4fe1c94d0dfd7feed14e6c5c35/k5ejc.Data.Analysis.in.Python.with.Pandas.part1.rar.html http://rapidgator.net/file/29ac0c03b11bf85fde89df368082b11e/k5ejc.Data.Analysis.in.Python.with.Pandas.part2.rar.html Download ( Uploadable ) http://www.uploadable.ch/file/n7p7swRHJm3u/k5ejc.Data.Analysis.in.Python.with.Pandas.part1.rar http://www.uploadable.ch/file/HgVFCgKFUXkA/k5ejc.Data.Analysis.in.Python.with.Pandas.part2.rar Download (Turbobit) http://turbobit.net/zam0rgiezrvr/k5ejc.Data.Analysis.in.Python.with.Pandas.part1.rar.html http://turbobit.net/3svtnl6ztxd0/k5ejc.Data.Analysis.in.Python.with.Pandas.part2.rar.html

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Read more: By the end of this course: - Understand the data analysis ecosystem in Python. - Learn how to use the pandas data analysis library to analyze data sets - Create how to create basic Descriptions of data using MatDescriptionLib - Analyze real datasets to better understand techniques for data analysis At the end of this course you will have learned a lot of the tips and tricks that cut down my learning curve as a business analyst and as a Master's Student at UC Berkeley doing data analysis. I designed this course for those that have an intermediate programming ability and are ready to take their data analysis skills to the next level. You'll understand cutting edge techniques used by data analysts, data scientists, and other data researches in Silicon Valley. Complete with working files and code samples, over 5 hours with 40+ lectures you'll learn all that you need to know to turn around and apply data analysis strategies to the data that you work with. You'll be able to work along side the instructor as we work through different data sets and data analysis approaches using cutting edge data science tools! What are the requirements? Students need to have Python installed on their computer. Students should be familiar with basic data analysis concepts. Students should have experience writing, at a minimum, basic programs in python. What am I going to get from this course? Over 34 lectures and 5 hours of content! Perform data analysis with python using the pandas library. Understand some of the basic concepts of data analysis. Have used n-dimensional arrays in NumPy as well as the pandas Series and DataFrames to analyze data. Learned the basics of Descriptionting with matDescriptionlib What is the target audience? This course is best suited for people that need a deeper understanding of data analysis tools available today. This course is not suited for those that want to learn how to program and have no prior programming experience. This course is great for introductory to intermediate python programmers or those that come from a statistical software background like R or SPSS. Analysts who want to better understand a technical approach to analyzing data. Scientists who want to step away from more academic programming languages and use a general purpose language like python. Programmers who are coming from a technical background but want to understand the pydata ecosystem a bit better. 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