Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Codecademy

Data Science Foundations

via Codecademy Path

Go to class Write review
Coursera Ad

AI, Data Science & Cloud Certificates from Google, IBM & Meta

Learn More → Financial Edge Ad

The Private Equity Associate Certification

Learn More →

Overview

Build a Learning Habit
Download Class Central's free printable study calendar
Download for Free
Learn to clean, analyze, and visualize data with Python and SQL. Includes **Python 3**, **SQL**, **Pandas**, **Matplotlib**, **Data Visualization**, **Data Cleaning**, and more.

Syllabus

  • Welcome to Data Science Foundations
    • Preview what lies ahead on your Data Science journey.
  • Principles of Data Literacy
    • Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
  • Learn SQL
    • Learn SQL — a popular language that’s used for communicating with databases and working with data.
  • Python Fundamentals for Data Science (Part I)
    • Build a foundation in programming with Python with a focus on Data Science!
  • Python Fundamentals for Data Science (Part II)
    • Continue building your Python Skills while applying them to real data science challenges including finding and working with real data.
  • Portfolio Project: U.S. Medical Insurance
    • Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
  • Python Pandas for Data Science
    • Learn how to use the Python pandas library and lambda functions for Data Science.
  • Exploratory Data Analysis in Python
    • Learn about exploratory data analysis (EDA) techniques for Data Science
  • Statistics Fundamentals for Data Science
    • Learn how and when to use the essential statistical tools Data Scientists use to analyze data.
  • Data Visualization Fundamentals with Python
    • If a picture is worth a thousand words, then a visualization is worth more than a thousand data points. Learn how to make them here!
  • Portfolio Project: Data Visualization
    • Use your understanding of data visualization to analyze and plot data about GDP and life expectancy.
  • Data Wrangling, Cleaning, and Tidying
    • Clean, well-structured data is essential to data science but cleaning data requires both a keen eye and technical skills. Develop both here!
  • Communicating Data Science Findings
    • Communication is an important part of your work as a data scientist. Learn best practices for effectively explaining your analysis.
  • Data Analysis Portfolio Project
    • Use your knowledge of data analysis to interpret data about endangered animals for the National Park Service.
  • Next Steps
    • Explore your learning options after the Data Science Foundations!

Reviews

Start your review of Data Science Foundations

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.