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Intro to Data Science

via Udacity


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.


  • 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


4.0 rating, based on 13 Class Central reviews

Start your review of Intro to Data Science

  • Life is Study
    Intro to data science is an intermediate level course that assumes basic Python programming skills and knowledge of statistics. The course focuses on gathering, manipulating, analyzing and visualizing data using Python and various Python packages su…
  • It brings introduction in many areas, but it does not go into depth to any area. For more advanced classes look for other courses on Udacity. Good as introduction.
  • Anonymous
    i have some previous knowledge about python programming. after completing this course off course it is increase my knowledge. now i want to improve myself as a data scientist in the real world.
    thanks again udacity.
  • Profile image for Shahrukh Ahmed
    Shahrukh Ahmed
    Though the course uses interesting examples for teaching concepts in relation to data science, the over reliance of the online grader for practice often makes learning redundant. Big part of learning programming is experimentation which the grader does not allow for.
  • Rafael Prados
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    Manohar Balineni
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    Rog Josep
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