0
Skip to Content
Learn Computer Science
Learn Pure Data
Learn WebDev
Learn Data Science
Learn Python
About
Who Am I
Learn Computer Science
Learn Pure Data
Learn WebDev
Learn Data Science
Learn Python
About
Who Am I
Learn Pure Data
Learn WebDev
Learn Data Science
Learn Python
Folder: About
Back
Who Am I

Learn Data Science

This course explores data science using Python’s powerful libraries—Matplotlib for data visualization, Pandas for data manipulation, and analysis. You'll learn to clean, process, and visually interpret complex datasets to uncover trends and make data-driven decisions.

Start Course Continue Course Retake Course Preview Course Learn More
0%
Progress
    • Lesson 0: Installing pip

      If you already have pip o your machine, skip this lesson

      If you already have pip o your machine, skip this lesson

    • Lesson 1: Installing Libraries

      We will now install matplotlib, pandas, numpy and seaborn using pip

      We will now install matplotlib, pandas, numpy and seaborn using pip

    • Lesson 0: Histograms

      Time to analyze some data

      Time to analyze some data

    • Lesson 1: Scatter Plots and Filtering Data

      Scatter plots

      Scatter plots

    • Lesson 2: Bar Graphs

      Bar Graphs

      Bar Graphs

    • Lesson 3: Counting Data Values and Pandas Series

      Panda Series

      Panda Series

    • Project: Who Survived the Titanic

      Panda Series

      Panda Series

Help Support Us

Our Vision


Retake this course?
Retaking this course from the beginning will reset all of your tracked progress.
Retake