Introduction to Data Science in Python

Introduction to Data Science in Python

Course
en
English
Subtitles available
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Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 4 Sequences
  • Intermediate Level
  • Subtitles in Chinese, Portuguese, Vietnamese, Korean, Hebrew

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Course details

Syllabus

  • Week 1 - Week 1
    In this week you'll get an introduction to the field of data science, review common Python functionality and features which data scientists use, and be introduced to the Coursera Jupyter Notebook for the lectures. All of the course information on grading, prer...
  • Week 2 - Week 2
    In this week of the course you'll learn the fundamentals of one of the most important toolkits Python has for data cleaning and processing -- pandas. You'll learn how to read in data into DataFrame structures, how to query these structures, and the details abo...
  • Week 3 - Week 3
    In this week you'll deepen your understanding of the python pandas library by learning how to merge DataFrames, generate summary tables, group data into logical pieces, and manipulate dates. We'll also refresh your understanding of scales of data, and discuss ...
  • Week 4 - Week 4
    In this week of the course you'll be introduced to a variety of statistical techniques such a distributions, sampling and t-tests. The majority of the week will be dedicated to your course project, where you'll engage in a real-world data cleaning activity and...

Prerequisite

None.

Instructors

Christopher Brooks

Editor

The University of Michigan (UM, UMich or simply Michigan) is a public research university located in Ann Arbor, Michigan, in the United States. Founded in 1817, the university is Michigan's oldest and largest.

The mission of the University of Michigan is to serve the people of Michigan and the world by taking a leadership role in creating, communicating, preserving, and applying academic knowledge, art, and values, and by developing leaders and citizens who will challenge the present and enrich the future.

Platform

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Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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