[ FreeCourseWeb ] Udemy - Data Analysis with Python - Full Course for Beginners

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[ FreeCourseWeb ] Udemy - Data Analysis with Python - Full Course for Beginners (Size: 3.8 GB)
  001 Data Structure introduction.en.srt 1.3 KB
  001 Data Structure introduction.mp4 5.7 MB
  001 File Hierarchy - Locate your files.en.srt 7.4 KB
  001 File Hierarchy - Locate your files.mp4 61.1 MB
  001 Introduction to Numpy.en.srt 8 KB
  001 Introduction to Numpy.mp4 55.9 MB
  001 Introduction to python exceptions.en.srt 3.8 KB
  001 Introduction to python exceptions.mp4 27.7 MB
  001 Introduction.en.srt 6.5 KB
  001 Introduction.mp4 42.2 MB
  001 Lambda Function.en.srt 2.4 KB
  001 Lambda Function.mp4 15.5 MB
  001 Project introduction.en.srt 5.6 KB
  001 Project introduction.mp4 50.3 MB
  001 Python 101 - print.en.srt 3.3 KB
  001 Python 101 - print.mp4 14.3 MB
  001 Python packages.en.srt 1.9 KB
  001 Python packages.mp4 9 MB
  002 Array Creation Part 1.en.srt 4 KB
  002 Array Creation Part 1.mp4 28.4 MB
  002 Course Resources.en.srt 1.5 KB
  002 Course Resources.mp4 11.7 MB
  002 Data structure - List.en.srt 4.9 KB
  002 Data structure - List.mp4 28.8 MB
  002 Filter Function.en.srt 4.5 KB
  002 Filter Function.mp4 26.2 MB
  002 Project Solution Part 1.en.srt 9.4 KB
  002 Project Solution Part 1.mp4 72 MB
  002 Python 101 - Variables.en.srt 7.2 KB
  002 Python 101 - Variables.mp4 49.6 MB
  002 Python exception types.en.srt 10 KB
  002 Python exception types.mp4 90.2 MB
  002 Python standard library and Python Package index.en.srt 7.4 KB
  002 Python standard library and Python Package index.mp4 81.3 MB
  002 Working with files.en.srt 4 KB
  002 Working with files.mp4 20.2 MB
  003 Array Creation Part 2.en.srt 5.4 KB
  003 Array Creation Part 2.mp4 33.2 MB
  003 Handling exceptions.en.srt 4.8 KB
  003 Handling exceptions.mp4 28.8 MB
  003 Install Python on Windows.en.srt 3.6 KB
  003 Install Python on Windows.mp4 24.8 MB
  003 Install and Import packages.en.srt 3.1 KB
  003 Install and Import packages.mp4 19.4 MB
  003 List - Access list element by index.en.srt 3.4 KB
  003 List - Access list element by index.mp4 19.6 MB
  003 Map Function.en.srt 5 KB
  003 Map Function.mp4 33.4 MB
  003 Project Solution Part 2.en.srt 4.8 KB
  003 Project Solution Part 2.mp4 45 MB
  003 Python 101 - Variables Code Challenge.en.srt 3.3 KB
  003 Python 101 - Variables Code Challenge.mp4 17.9 MB
  003 Read file content.en.srt 5.2 KB
  003 Read file content.mp4 43.4 MB
  004 Array shape.en.srt 4.2 KB
  004 Array shape.mp4 36.8 MB
  004 Clean up exceptions.en.srt 2.8 KB
  004 Clean up exceptions.mp4 18.3 MB
  004 Install Python on MacOS.en.srt 2 KB
  004 Install Python on MacOS.mp4 13.7 MB
  004 Introduction to Pandas.en.srt 5.7 KB
  004 Introduction to Pandas.mp4 38 MB
  004 List - Index and slice.en.srt 4.1 KB
  004 List - Index and slice.mp4 30.8 MB
  004 Project Solution Part 3.en.srt 6.5 KB
  004 Project Solution Part 3.mp4 49.8 MB
  004 Python 101 - Comments.en.srt 1.7 KB
  004 Python 101 - Comments.mp4 6 MB
  004 Read file and read lines.en.srt 6 KB
  004 Read file and read lines.mp4 52.4 MB
  004 Reduce Function.en.srt 6 KB
  004 Reduce Function.mp4 36.6 MB
  005 Array Operations.en.srt 6 KB
  005 Array Operations.mp4 48.8 MB
  005 Debugging in python.en.srt 10.1 KB
  005 Debugging in python.mp4 85 MB
  005 Install Anaconda.en.srt 6.5 KB
  005 Install Anaconda.mp4 48 MB
  005 List Methods.en.srt 5.1 KB
  005 List Methods.mp4 36.9 MB
  005 List comprehension.en.srt 3.5 KB
  005 List comprehension.mp4 20.5 MB
  005 Project Solution Part 4.en.srt 2.4 KB
  005 Project Solution Part 4.mp4 23.4 MB
  005 Python 101 - Data Types.en.srt 3.7 KB
  005 Python 101 - Data Types.mp4 18.8 MB
  005 View DataFrame data.en.srt 6.2 KB
  005 View DataFrame data.mp4 43.4 MB
  005 Write to files in Python.en.srt 2.9 KB
  005 Write to files in Python.mp4 17 MB
  006 Array slicing and indexing.en.srt 7.3 KB
  006 Array slicing and indexing.mp4 71.5 MB
  006 Jupyter Notebook.en.srt 12.1 KB
  006 Jupyter Notebook.mp4 62.6 MB
  006 List - Traverse a list.en.srt 5.6 KB
  006 List - Traverse a list.mp4 40.3 MB
  006 Map Lambda vs List comprehension.en.srt 3 KB
  006 Map Lambda vs List comprehension.mp4 18.5 MB
  006 Pandas DataFrame Slice and Index.en.srt 5 KB
  006 Pandas DataFrame Slice and Index.mp4 60.4 MB
  006 Project Solution Part 5.en.srt 9.4 KB
  006 Project Solution Part 5.mp4 78.8 MB
  006 Python 101 - Data Types Examples.en.srt 7.8 KB
  006 Python 101 - Data Types Examples.mp4 57.5 MB
  006 Work with JSON files.en.srt 4.4 KB
  006 Work with JSON files.mp4 39.7 MB
  007 Array advanced indexing part 1.en.srt 6 KB
  007 Array advanced indexing part 1.mp4 43.7 MB
  007 List - Functions to Generate a list.en.srt 2.4 KB
  007 List - Functions to Generate a list.mp4 11.9 MB
  007 Make API request and JSON file operations.en.srt 7.4 KB
  007 Make API request and JSON file operations.mp4 76 MB
  007 Pandas DataFrame slice with [].en.srt 2.5 KB
  007 Pandas DataFrame slice with [].mp4 15.2 MB
  007 Python 101 - String Formating.en.srt 5.4 KB
  007 Python 101 - String Formating.mp4 41.5 MB
  008 Array advanced indexing part 2.en.srt 3.1 KB
  008 Array advanced indexing part 2.mp4 18.9 MB
  008 List - A Code Challenge.en.srt 1.2 KB
  008 List - A Code Challenge.mp4 3.6 MB
  008 Pandas DataFrame slice with loc.en.srt 2.8 KB
  008 Pandas DataFrame slice with loc.mp4 20.5 MB
  008 Python 101 - Operators.en.srt 6.9 KB
  008 Python 101 - Operators.mp4 35.7 MB
  009 Data structure - Tuple.en.srt 5.9 KB
  009 Data structure - Tuple.mp4 40.2 MB
  009 Numpy methods.en.srt 10.9 KB
  009 Numpy methods.mp4 69.8 MB
  009 Pandas DataFrame slice with iloc.en.srt 4.6 KB
  009 Pandas DataFrame slice with iloc.mp4 33.2 MB
  009 Python 101 - Control Flow IF statement.en.srt 5.5 KB
  009 Python 101 - Control Flow IF statement.mp4 27.5 MB
  010 Numpy functions.en.srt 7 KB
  010 Numpy functions.mp4 40.9 MB
  010 Pandas DataFrame slice with at, iat and boolean vectors.en.srt 7 KB
  010 Pandas DataFrame slice with at, iat and boolean vectors.mp4 49.3 MB
  010 Python 101 - Control Flow FOR loop.en.srt 5.7 KB
  010 Python 101 - Control Flow FOR loop.mp4 28.1 MB
  010 Tuple Iterations.en.srt 1.9 KB
  010 Tuple Iterations.mp4 13.2 MB
  011 Conditional logics as array operations.en.srt 3.4 KB
  011 Conditional logics as array operations.mp4 19.7 MB
  011 Data structure - Dictionary.en.srt 5.8 KB
  011 Data structure - Dictionary.mp4 49 MB
  011 Pandas operation axis.en.srt 3.1 KB
  011 Pandas operation axis.mp4 29.7 MB
  011 Python 101 - Control Flow Range Function Demo.en.srt 2.7 KB
  011 Python 101 - Control Flow Range Function Demo.mp4 17.5 MB
  012 Dictionary Methods.en.srt 8.6 KB
  012 Dictionary Methods.mp4 63.1 MB
  012 Pandas Descriptive statistics.en.srt 6.1 KB
  012 Pandas Descriptive statistics.mp4 47.3 MB
  012 Python 101 - Control Flow WHILE loop.en.srt 8.6 KB
  012 Python 101 - Control Flow WHILE loop.mp4 39.5 MB
  012 Reference to statistics and linear algebra.en.srt 1.6 KB
  012 Reference to statistics and linear algebra.mp4 16.1 MB
  013 Code challenge - solve sudoku.en.srt 3 KB
  013 Code challenge - solve sudoku.mp4 18.7 MB
  013 Dictionary iterations.en.srt 1.8 KB
  013 Dictionary iterations.mp4 13.6 MB
  013 Merge Data in pandas.en.srt 8.8 KB
  013 Merge Data in pandas.mp4 59.6 MB
  013 Python 101 - Control flow Loop Code Challenge.en.srt 3.6 KB
  013 Python 101 - Control flow Loop Code Challenge.mp4 18.8 MB
  014 Code challenge - solve sudoku solution.en.srt 13.8 KB
  014 Code challenge - solve sudoku solution.mp4 113.7 MB
  014 Concat Data in pandas.en.srt 3.7 KB
  014 Concat Data in pandas.mp4 26 MB
  014 Dictionary - Code Challenge.en.srt 4.6 KB
  014 Dictionary - Code Challenge.mp4 33.4 MB
  014 Python 101 - Control Flow CONTINUE & BREAK.en.srt 4.9 KB
  014 Python 101 - Control Flow CONTINUE & BREAK.mp4 20.4 MB
  015 Dictionary - Code Challenge Solution.en.srt 7.1 KB
  015 Dictionary - Code Challenge Solution.mp4 49.6 MB
  015 Drop duplicates in dataframe.en.srt 3.9 KB
  015 Drop duplicates in dataframe.mp4 24 MB
  015 Python 101 - Builtin Functions.en.srt 4.6 KB
  015 Python 101 - Builtin Functions.mp4 40.9 MB
  016 Data structure - Set.en.srt 2.2 KB
  016 Data structure - Set.mp4 13.8 MB
  016 Group data using groupby in Pandas - Example 1.en.srt 6.6 KB
  016 Group data using groupby in Pandas - Example 1.mp4 49 MB
  016 Python 101 - Builtin Functions Demo.en.srt 8 KB
  016 Python 101 - Builtin Functions Demo.mp4 60.9 MB
  017 Group data using groupby in Pandas - Example 2.en.srt 3.3 KB
  017 Group data using groupby in Pandas - Example 2.mp4 22.7 MB
  017 Python 101 - Functions.en.srt 6.9 KB
  017 Python 101 - Functions.mp4 47.3 MB
  017 Set methods.en.srt 5.6 KB
  017 Set methods.mp4 35.2 MB
  018 Group data using groupby in Pandas - Example 3.en.srt 2.4 KB
  018 Group data using groupby in Pandas - Example 3.mp4 15.2 MB
  018 Python 101 - Functional decomposition.en.srt 4.5 KB
  018 Python 101 - Functional decomposition.mp4 31.7 MB
  018 Set Iterations.en.srt 1.6 KB
  018 Set Iterations.mp4 8.2 MB
  019 Pivot Table in Pandas.en.srt 4.9 KB
  019 Pivot Table in Pandas.mp4 32.4 MB
  020 Read and write csv files in pandas.en.srt 5.8 KB
  020 Read and write csv files in pandas.mp4 47.5 MB
  021 Read multiple csv files.en.srt 4.5 KB
  021 Read multiple csv files.mp4 33.4 MB
  022 Read and write excel files in pandas.en.srt 3.2 KB
  022 Read and write excel files in pandas.mp4 30.5 MB
  023 Handle missing values in pandas.en.srt 2 KB
  023 Handle missing values in pandas.mp4 16.2 MB
  024 Drop na values in pandas.en.srt 5.5 KB
  024 Drop na values in pandas.mp4 40.3 MB
  025 Replace na values in pandas.en.srt 3.4 KB
  025 Replace na values in pandas.mp4 24.9 MB
  038 alice.txt 170.2 KB
  079 linear_algebra_handout.pdf 200.5 KB
  079 stats_handout_by_csvoss.pdf 1.3 MB
  100 project_data.xlsx 62 MB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  external-assets-links.txt 102.4 B
  ▲ 218 total files

Description


Data Analysis with Python: Full Course for Beginners

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 105 lectures (8h 23m) | Size: 3 GB
Learn Python Programming In Detail From Beginner to Expert Level
What you'll learn:
Master Python basics, such as data structures, control flows
Learn to use frameworks like Pandas, NumPy, Matplotlib, etc.
Able to use Python for data analysis, data wrangling professionally
Learn to use both the Jupyter Notebook and create .py files
Able to use Python to process files, such as CSVs, Excels
Learn to Test, Debug and Handle Errors in your Python programs
Hands on Python examples and exercises

Requirements
No programming experience is required.
A computer with internet connection.
Passion and curiosity to learn Python.

Description
Get started

Python is a powerful, modern programming language that has the capabilities required for experienced programmers, while being easy enough for beginners to learn.

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