About The Course

The HELLO BLACK WORLD1 curriculum has been designed for Africana Studies majors, minors and friends in the humanities and social sciences who want to explore and develop data and computer science competencies centered around the presence of African contributions and the imagination. The Intro to the Black Digital World course introduces students to the African Origins of Mathematics and Computer Science, basic python, data science and visualization of diverse data types within the Black world (e.g. text, numbers, images).
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What you'll learn

  • African Origins of Mathematics and Computer Science
  • Basic Python
  • Basic Data Science
  • Visualization of diverse data types

Course Curriculum

Hello Black World
The HELLO BLACK WORLD1 curriculum has been designed for Africana Studies majors, minors and friends in the humanities and social sciences who want to explore and develop data and computer science competencies centered around the presence of African contributions and the imagination. The Intro to the Black Digital World course introduces students to the African Origins of Mathematics and Computer Science, basic python, data science and visualization of diverse data types within the Black world (e.g. text, numbers, images).

  • Computers, the Interpreter, Coding and Documentation
    00:00
  • Computers, the Interpreter, Coding and Documentation
  • Identities and Data
    00:00
  • Quiz 2: Identities and Data
  • Counting with Python
    00:00
  • Quiz 3: Counting with Python
  • Reading with Python
    00:00
  • Quiz 4: Reading with Python
  • Introduction to Data for Social Justice
    00:00
  • Quiz 5: Introduction to Data for Social Justice
  • Collecting and Viewing Data in Python
    00:00
  • Quiz 6: Collecting and Viewing Data in Python
  • Measuring and Managing Data with Python
    00:00
  • Quiz 7: Measuring and Managing Data with Python
  • Visualizing Data with Python I
    00:00
  • Quiz 8: Visualizing Data with Python
  • Presenting Data with Python
    00:00
  • Quiz 9: Presenting Data with Python

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Free
Free access this course

Course Instructor

Amy Yeboah Quarkume
Amy Yeboah Quarkume
Associate Professor

Course Materials

  • PDF Assignments
  • Compiler

Requirements

  • No textbook is required, but students may use:
  • Windows, Mac, or Linux laptops with WIFI or Internet access
  • Microsoft Excel (university license)
  • Tableau (download free student trial)
  • R (open source)
  • Anaconda and Jupyter Notebook (open source)
  • Python 3+ (open source)