Free Certification Course to Learn Data Analysis with Python

Data Analysis with Python

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What Will You Learn?

In the Data Analysis with Python Certification, you'll learn the fundamentals of data analysis with Python. By the end of this certification, you'll know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.

About This Course

Provider: Freecodecamp
Format: Online
Duration: 300 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: After completing this free course, you'll become proficient in data analysis using python
Course Prerequisites: NA
Assessment and Certification: Earn a Certificate upon completion from the relevant Provider
Instructor: Freecodecamp
Key Topics: Data Analysis, Python Data Analysis, NumPy, Pandas, Matplotlib, Seaborn, Jupyter, SQL
Topic Covered: 
  1. - Introduction to Data Analysis
  2. - Data Analysis
  3. - How to use Jupyter Notebooks Intro
  4. - Jupyter Notebooks Cells
  5. - Jupyter Notebooks Importing and Exporting Data
  6. - Numpy Introduction
  7. - Numpy Arrays
  8. - Numpy Operations
  9. - Numpy Boolean Arrays
  10. - Numpy Algebra and Size
  11. - Pandas Introduction
  12. - Pandas Indexing and Conditional Selection
  13. - Pandas DataFrames
  14. - Pandas Conditional Selection and Modifying DataFrames
  15. - Pandas Creating Columns
  16. - Data Cleaning Introduction
  17. - Data Cleaning with DataFrames
  18. - Data Cleaning Duplicates
  19. - Data Cleaning and Visualizations
  20. - Reading Data Introduction
  21. - Reading Data CSV and TXT
  22. - Reading Data from Databases
  23. - Parsing HTML and Saving Data
  24. - Python Introduction
  25. - Python Functions and Collections
  26. - Python Iteration and Modules
  27. - What is NumPy
  28. - Basics of Numpy
  29. - Accessing and Changing Elements, Rows, Columns
  30. - Initializing Different Arrays
  31. - Initialize Array Problem
  32. - Copying Arrays Warning
  33. - Mathematics
  34. - Reorganizing Arrays
  35. - Loading Data and Advanced Indexing
  36. - Project 1: Mean-Variance-Standard Deviation Calculator
  37. - Project 2: Demographic Data Analyzer
  38. - Project 3: Medical Data Visualizer
  39. - Project 4: Page View Time Series Visualizer
  40. - Project 5: Sea Level Predictor

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