About this Course

The Introduction to Data Science class will survey the foundational topics in data science, namely:

  • Data Manipulation
  • Data Analysis with Statistics and Machine Learning
  • Data Communication with Information Visualization
  • Data at Scale -- Working with Big Data

The class will focus on breadth and present the topics briefly instead of focusing on a single topic in depth. This will give you the opportunity to sample and apply the basic techniques of data science.

This course is also a part of our Data Analyst Nanodegree.

Course Cost
Free
Timeline
Approx. 2 months
Skill Level
intermediate
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Included in Product

Rich Learning Content

Interactive Quizzes

Taught by Industry Pros

Self-Paced Learning

Student Support Community

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Free Course

Intro to Data Science

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Course Leads

Dave Holtz
Dave Holtz

Instructor

Cheng-Han Lee
Cheng-Han Lee

Instructor

Prerequisites and Requirements

The ideal students for this class are prepared individuals who have:

  • Strong interest in data science
  • Background in intro level statistics
  • Python programming experience
  • Or understanding of programming concepts such as variables, functions, loops, and basic python data structures like lists and dictionaries

If you need to brush up on your programming, we highly recommend Introduction to Computer Science: Building a Search Engine. If you need a refresher on statistics, enroll in Intro to Descriptive Statistics and Intro to Inferential Statisitics. All three are on Udacity!

See the Technology Requirements for using Udacity.

Why Take This Course

You will have an opportunity to work through a data science project end to end, from analyzing a dataset to visualizing and communicating your data analysis.

Through working on the class project, you will be exposed to and understand the skills that are needed to become a data scientist yourself.

What do I get?
Instructor videos Learn by doing exercises Taught by industry professionals