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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

Free Download Numpy Programming Mastery - Learn Python For Data Analysis Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 571.51 MB | Duration: 2h 30m Master NumPy for Data Analysis: Learn Python Techniques for Efficient Data Manipulation and Complex Computations What you'll learn Understanding Arrays and Matrices Creating NumPy Arrays Indexing and Slicing Arrays Joining and Splitting Arrays Statistical Operations Broadcasting and Vectorization Loading Data from Files Handling Missing Data Working with Structured Arrays Implementing Random Number Generation Advanced Indexing Techniques Performance Considerations in NumPy Memory Management in NumPy Data Analysis with NumPy Scientific Computing with NumPy Machine Learning with NumPy Requirements No Prior Knowledge is Required. Description Unlock the power of data analysis with our comprehensive course, NumPy Programming Mastery: Learn Python for Data Analysis. Designed for both beginners and experienced programmers, this course provides an in-depth exploration of NumPy, the essential library for numerical computing in Python.What You'll Learn:Begin with the basics, including array creation, data types, and basic operations. Build a solid foundation in how NumPy handles large datasets with high efficiency.Dive deeper into complex array operations such as reshaping, slicing, and broadcasting. Learn how to perform sophisticated data manipulations and transformations with ease.Explore NumPy's extensive suite of mathematical functions for linear algebra, statistical analysis, and random number generation. Gain practical skills in performing high-level calculations and data analysis.Understand how to seamlessly integrate NumPy with other Python libraries like Pandas and Matplotlib to enhance your data analysis workflow.Apply your knowledge through hands-on projects and real-world case studies. Work on practical examples that simulate real data analysis scenarios, reinforcing your learning and boosting your confidence.Course Features:Engaging video tutorials and coding exercises designed to reinforce key concepts.Real-life projects that provide practical experience and showcase your skills.Learn from experienced instructors with a deep understanding of data analysis and NumPy.Whether you're looking to enhance your data analysis skills or embark on a new career in data science, NumPy Programming Mastery offers the tools and expertise you need to succeed. Enroll today and start your journey toward mastering Python for data analysis! Overview Section 1: Section 1: Getting Started with NumPy Lecture 1 Understanding Arrays and Matrices Lecture 2 Creating NumPy Arrays Lecture 3 Basic Array Operations Section 2: Section 2: NumPy Array Manipulation Lecture 4 Indexing and Slicing Arrays Lecture 5 Reshaping and Flattening Arrays Lecture 6 Joining and Splitting Arrays Lecture 7 Copying and Viewing Arrays Section 3: Section 3: NumPy Mathematical Operations Lecture 8 Basic Mathematical Functions Lecture 9 Statistical Operations Lecture 10 Linear Algebra with NumPy Lecture 11 Broadcasting and Vectorization Section 4: Section 4: Working with Data in NumPy Lecture 12 Loading Data from Files Lecture 13 Saving Data to Files Lecture 14 Handling Missing Data Lecture 15 Working with Structured Arrays Section 5: Section 5: Advanced NumPy Techniques Lecture 16 Using NumPy for Image Processing Lecture 17 Implementing Random Number Generation Lecture 18 Advanced Indexing Techniques Lecture 19 Optimization with NumPy Section 6: Section 6: Performance and Optimization Lecture 20 Performance Considerations in NumPy Lecture 21 Using Cython to Speed Up NumPy Lecture 22 Integrating NumPy with Other Libraries Anyone interested to learning NumPy Programming Mastery Python for Data Analysis Homepage https://www.udemy.com/course/numpy-programming-mastery-learn-python-for-data-analysis/ Rapidgator https://rg.to/file/7894867ed2de8ec533cf0f4e9dae63d3/obpwe.Numpy.Programming.Mastery.Learn.Python.For.Data.Analysis.rar.html Fikper Free Download https://fikper.com/HPfXEruZEK/obpwe.Numpy.Programming.Mastery.Learn.Python.For.Data.Analysis.rar.html No Password - Links are Interchangeable

Lynda - NumPy Data Science Essential Training Size: 606 MB | Duration: 3h 54m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Intermediate | Language: English NumPy Data Science Essential Training introduces the beginning to intermediate data scientist to NumPy, the Python library that supports numerical, scientific, and statistical programming, including machine learning. The library supports several aspects of data science, providing multidimensional array objects, derived objects (matrixes and masked arrays), and routines for math, logic, sorting, statistics, and random number generation. Here Charles Kelly shows how to work with NumPy and Python within Jupyter Notebook, a browser-based tool for creating interactive documents with live code, annotations, and even visualizations such as plots. Learn how to create NumPy arrays, use NumPy statements and snippets, and index, slice, iterate, and otherwise manipulate arrays. Plus, learn how to plot data and combine NumPy arrays with Python classes, and get examples of NumPy in action: solving linear equations, finding patterns, performing statistics, generating magic cubes, and more. * Using Jupyter Notebook * Creating NumPy arrays from Python structures * Slicing arrays * Using Boolean masking and broadcasting techniques * Plotting in Jupyter notebooks * Joining and splitting arrays * Rearranging array elements * Creating universal functions * Finding patterns * Building magic squares and magic cubes with NumPy and Python DOWNLOAD http://rapidgator.net/file/9d6ccc06d8e263816bb165aa1ab1c8f6/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar.html https://bytewhale.com/ouyakjxgbng6/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar http://uploaded.net/file/elnb57mc/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar https://www.bigfile.to/file/XJpPpbRNbsfZ/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar http://nitroflare.com/view/D9E1D892FAF9B95/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar http://uploadgig.com/file/download/c56623faD3e381dd/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar

NumPy Data Science Essential Training With Charles Kelly Duration: 3h 54m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch | 606 MB Genre: eLearning | Level: Intermediate | Language: English NumPy Data Science Essential Training introduces the beginning to intermediate data scientist to NumPy, the Python library that supports numerical, scientific, and statistical programming, including machine learning. The library supports several aspects of data science, providing multidimensional array objects, derived objects (matrixes and masked arrays), and routines for math, logic, sorting, statistics, and random number generation. Here Charles Kelly shows how to work with NumPy and Python within Jupyter Notebook, a browser-based tool for creating interactive documents with live code, annotations, and even visualizations such as plots. Learn how to create NumPy arrays, use NumPy statements and snippets, and index, slice, iterate, and otherwise manipulate arrays. Plus, learn how to plot data and combine NumPy arrays with Python classes, and get examples of NumPy in action: solving linear equations, finding patterns, performing statistics, generating magic cubes, and more. Topics include: * Using Jupyter Notebook * Creating NumPy arrays from Python structures * Slicing arrays * Using Boolean masking and broadcasting techniques * Plotting in Jupyter notebooks * Joining and splitting arrays * Rearranging array elements * Creating universal functions * Finding patterns * Building magic squares and magic cubes with NumPy and Python Download From NitroFlare http://nitroflare.com/view/FFCECE85CFBEEA5/LyndaNumPyDataScienceEssentialTra.rar Download From Rapidgator http://rapidgator.net/file/d855cf8452185150bf7f83e695b5c4ee/LyndaNumPyDataScienceEssentialTra.rar.html