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.

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Intro to Data Science
Course Cost
Free
Timeline
Approx. 2 months
Skill Level
Intermediate
Included in Course
  • Icon course 01 3edf6b45629a2e8f1b490e1fb1516899e98b3b30db721466e83b1a1c16e237b1 Rich Learning Content

  • Icon course 04 2edd94a12ef9e5f0ebe04f6c9f6ae2c89e5efba5fd0b703c60f65837f8b54430 Interactive Quizzes

  • Icon course 02 2d90171a3a467a7d4613c7c615f15093d7402c66f2cf9a5ab4bcf11a4958aa33 Taught by Industry Pros

  • Icon course 05 237542f88ede3178ac4845d4bebf431ddd36d9c3c35aedfbd92e148c1c7361c6 Self-Paced Learning

  • Icon course 03 142f0532acf4fa030d680f5cb3babed8007e9ac853d0a3bf731fa30a7869db3a Student Support Community

Join the Path to Greatness

This free course is your first step towards a new career with the Data Analyst Nanodegree Program.

Free Course

Intro to Data Science

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

  • Dave Holtz
    Dave Holtz

    Instructor

  • Cheng-Han Lee
    Cheng-Han Lee

    Instructor

What You Will Learn

Lesson 1

Introduction to Data Science

  • Pi-Chaun (Data Scientist @ Google): What is Data Science?
  • Gabor (Data Scientist @ Twitter): What is Data Science?
  • Problems solved by data science.
Lesson 1

Introduction to Data Science

  • Pi-Chaun (Data Scientist @ Google): What is Data Science?
  • Gabor (Data Scientist @ Twitter): What is Data Science?
  • Problems solved by data science.
Lesson 2

Data Wrangling

  • What is Data Wrangling?
  • Acquiring data.
  • Common data formats.
Lesson 2

Data Wrangling

  • What is Data Wrangling?
  • Acquiring data.
  • Common data formats.
Lesson 3

Data Analysis

  • Statistical rigor.
  • Kurt (Data Scientist @ Twitter) - Why is Stats Useful?
  • Introduction to normal distribution.
Lesson 3

Data Analysis

  • Statistical rigor.
  • Kurt (Data Scientist @ Twitter) - Why is Stats Useful?
  • Introduction to normal distribution.
Lesson 4

Data Visualization

  • Effective information visualization.
  • An analysis of Napoleon's invasion of Russia!
  • Don (Principal Data Scientist @ AT&T): Communicating Findings.
Lesson 4

Data Visualization

  • Effective information visualization.
  • An analysis of Napoleon's invasion of Russia!
  • Don (Principal Data Scientist @ AT&T): Communicating Findings.
Lesson 5

MapReduce

  • Introduction to Big Data and MapReduce.
  • Learn the basics of MapReduce.
  • Mapper.
Lesson 5

MapReduce

  • Introduction to Big Data and MapReduce.
  • Learn the basics of MapReduce.
  • Mapper.

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
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