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Python for Data Analysis & Visualization

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Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more


01 - Course Welcome & Set Up
  • 001 Course Overview
  • 002 Udemy 101.html
  • 003 Python Overview
  • 004 Anaconda Distribution Installation
  • 005 Jupyter Notebook 101
  • 006 Jupyter Notebook - Adding Comments in Cells
  • 007 Course Resources - Important!
  • 007 Course-Resurces-Python-for-Data-Analysis-and-Visualization.zip

  • 02 - Objects, Variables and Data Types
  • 001 Objects and Variables Overview
  • 002 Numbers
  • 003 Integer Variables.html
  • 004 Coding Exercise Solution.html
  • 005 Float Variables.html
  • 006 Coding Exercise Solution.html
  • 007 Strings
  • 008 Print Formatting with Strings.html
  • 009 Coding Exercise Solution.html
  • 010 String Operations
  • 011 String Indexing and Slicing Quiz.html
  • 012 String Methods and Properties
  • 013 String Methods.html
  • 014 Coding Exercise Solution.html
  • 015 String Concatenation and Formatting
  • 016 Lists
  • 017 Lists.html
  • 018 Coding Exercise Solution.html
  • 019 Lists.html
  • 020 Coding Exercise Solution.html
  • 021 Dictionaries
  • 022 Dictionaries.html
  • 023 Coding Exercise Solution.html
  • 024 Tuples and Sets
  • 025 Tuples and Sets.html
  • 026 Coding Exercise Solution.html
  • 027 Booleans
  • 028 Key Words in Python.html
  • 029 Data Types.html

  • 03 - Control Flow and Loops
  • 001 Python Operators
  • 002 Control Flow
  • 003 Control Flow.html
  • 004 Coding Exercise Solution.html
  • 005 For Loops
  • 006 For Loops (continued)
  • 007 For Loops.html
  • 008 Coding Exercise Solution.html
  • 009 For Loops.html
  • 010 Coding Exercise Solution.html
  • 011 While Loops
  • 012 Break, Continue and Pass Statements
  • 013 List Comprehension
  • 014 List Comprehension.html
  • 015 Coding Exercise Solution.html
  • 016 IN and NOT IN

  • 04 - Functions
  • 001 Built-In Functions
  • 002 Built-In Functions.html
  • 003 Coding Exercise Solution.html
  • 004 User Defined Functions
  • 005 User Defined Functions - Examples
  • 006 User Defined Functions.html
  • 007 Coding Exercise Solution.html
  • 008 User Defined Functions.html
  • 009 Coding Exercise Solution.html
  • 010 Arguments and Keyword Arguments
  • 011 Map and Filter
  • 012 Lambda Functions
  • 013 Lambda Functions.html
  • 014 Coding Exercise Solution.html
  • 015 Errors and Exception Handling

  • 05 - Challenge Section - Core Python
  • 001 Challenge Questions Overview
  • 002 Solutions Walkthrough
  • 003 Corection Solutions.html

  • 06 - Modules, Packages and Libraries
  • 001 Built-In Modules
  • 002 External Libraries

  • 07 - NumPy
  • 001 NumPy Overview
  • 002 Array Slicing and Indexing
  • 003 Array Manipulation Functions
  • 004 Additional Array Creation Functions
  • 005 Array Arithmetic and Mathematical Functions
  • 006 IO Functions in NumPy

  • 08 - Challenge Section - NumPy
  • 001 Challenge Questions
  • 002 Challenge Solutions

  • 09 - Pandas
  • 001 Pandas Overview
  • 002 Introduction to Series
  • 003 Introduction to DataFrames
  • 004 Selecting Data 1
  • 005 Selecting Data 2
  • 006 Data Manipulation 1
  • 007 Data Manipulation 2
  • 008 Data Aggregation and Grouping
  • 009 Data Cleansing
  • 010 Combining DataFrames
  • 011 Windowing Operations

  • 10 - Challenge Section - Pandas
  • 001 Challenge Questions - TfL Dataset
  • 002 Solutions Walkthrough
  • 003 Challenge Questions - Employees Dataset
  • 004 Solutions Walkthrough

  • 11 - Data Sources
  • 001 Excel and CSV
  • 002 HTML
  • 003 Databases
  • 004 Pandas Input and Output Methods

  • 12 - Matplotlib
  • 001 Matplotlib Overview
  • 002 Choosing the Right Chart Type
  • 003 Creating a Plot Area 1
  • 004 Creating a Plot Area 2
  • 005 Bar Plots
  • 006 Line Plots
  • 007 FIFA 21 Player Dataset.html
  • 008 Scatter Plots
  • 009 Histograms
  • 010 Box Plots and Violin Plots
  • 011 Style and Presentation
  • 012 Additional Resources and Cheat Sheets

  • 13 - Challenge Section - Matplotlib
  • 001 Challenge Questions Overview
  • 002 Solutions Walkthrough

  • 14 - Seaborn
  • 001 Seaborn Overview
  • 002 Categorical Plots
  • 003 Relational Plots
  • 004 Distribution Plots
  • 005 Regression Plots
  • 006 Matrix Plots
  • 007 Multi Plot Grids
  • 008 Style and Presentation

  • 15 - Challenge Section - Seaborn
  • 001 Challenge Questions Overview
  • 002 Solutions Walkthrough

  • 16 - Plotly Express
  • 001 Plotly Express Overview
  • 002 Interactive Charts in Plotly Express
  • 003 3D Charts
  • 004 BONUS Further Learning
  • 005 BONUS Further Learning Resources.html

  • 17 - Keep learning with me
  • 001 BONUS Check out my other courses.html
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    مدت زمان: 600 دقیقه
    تاریخ انتشار: ۱ آبان ۱۴۰۳
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