Intro to Data Science
Offered By: Udacity
Course Description
Overview
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.
Syllabus
- 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.
- Data Wrangling
- What is Data Wrangling?,Acquiring data.,Common data formats.
- Data Analysis
- Statistical rigor.,Kurt (Data Scientist @ Twitter) - Why is Stats Useful?,Introduction to normal distribution.
- Data Visualization
- Effective information visualization.,An analysis of Napoleon's invasion of Russia!,Don (Principal Data Scientist @ AT&T): Communicating Findings.
- MapReduce
- Introduction to Big Data and MapReduce.,Learn the basics of MapReduce.,Mapper.
Taught by
Dave Holtz
Related Courses
Mining Massive DatasetsStanford University via edX Cloud Computing Concepts, Part 1
University of Illinois at Urbana-Champaign via Coursera Data Manipulation at Scale: Systems and Algorithms
University of Washington via Coursera Big Data Analytics in Healthcare
Georgia Institute of Technology via edX Big Data Essentials: HDFS, MapReduce and Spark RDD
Yandex via Coursera