University of Michigan
Introduction to Data Science in Python
University of Michigan

Introduction to Data Science in Python

This course is part of Applied Data Science with Python Specialization

Taught in English

Some content may not be translated

Christopher Brooks

Instructor: Christopher Brooks

Sponsored by FutureX

772,659 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.5

(26,898 reviews)

|

92%

Intermediate level
Some related experience required
34 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand techniques such as lambdas and manipulating csv files

  • Describe common Python functionality and features used for data science

  • Query DataFrame structures for cleaning and processing

  • Explain distributions, sampling, and t-tests

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(26,898 reviews)

|

92%

Intermediate level
Some related experience required
34 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Applied Data Science with Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 4 modules in this course

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, prerequisites, and expectations are on the course syllabus, and you can find more information about the Jupyter Notebooks on our Course Resources page.

What's included

12 videos6 readings1 quiz1 programming assignment2 ungraded labs1 plugin

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 about such structures are indexed.

What's included

9 videos1 reading1 quiz1 programming assignment1 ungraded lab

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 issues with creating metrics for analysis. The week ends with a more significant programming assignment.

What's included

6 videos1 reading1 quiz1 programming assignment1 ungraded lab

In this week of the course you'll be introduced to a variety of statistical techniques such a distributions, sampling and t-tests. The week ends with two discussions of science and the rise of the fourth paradigm -- data driven discovery.

What's included

2 videos6 readings1 quiz1 programming assignment1 ungraded lab

Instructor

Instructor ratings
4.4 (3,818 ratings)
Christopher Brooks
14 Courses847,790 learners

Offered by

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 26898

4.5

26,898 reviews

  • 5 stars

    66.31%

  • 4 stars

    24.32%

  • 3 stars

    5.37%

  • 2 stars

    1.91%

  • 1 star

    2.06%

AN
4

Reviewed on Aug 15, 2020

GS
5

Reviewed on Feb 19, 2017

PK
5

Reviewed on May 9, 2020

Recommended if you're interested in Data Science

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy