Intro to Data Science
- Offered byUDACITY
Intro to Data Science at UDACITY Overview
Duration | 2 months |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Intro to Data Science at UDACITY Highlights
- Flexible Learning Program
- Real World Projects from Industry Experts
- Self-Paced Learning
- Taught by Industry Pros
Intro to Data Science at UDACITY Course details
- Self-Paced Learning
- Taught by Industry Pros
- Student Support Community
- Self-Paced Learning
- Get access to classroom immediately on enrollment
- 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.
Intro to Data Science at UDACITY Curriculum
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 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 5: MapReduce
Introduction to Big Data and MapReduce.
Learn the basics of MapReduce.
Mapper
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