University of Michigan
Applied Data Science with Python Specialization
University of Michigan

Applied Data Science with Python Specialization

Gain new insights into your data . Learn to apply data science methods and techniques, and acquire analysis skills.

Christopher Brooks
Kevyn Collins-Thompson
Daniel Romero

Instructors: Christopher Brooks

427,221 already enrolled

Included with Coursera Plus

Learn more
Get in-depth knowledge of a subject
4.5

(26,111 reviews)

Intermediate level
Some related experience required
4 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.5

(26,111 reviews)

Intermediate level
Some related experience required
4 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Conduct an inferential statistical analysis

  • Discern whether a data visualization is good or bad

  • Enhance a data analysis with applied machine learning

  • Analyze the connectivity of a social network

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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

Learn more about Coursera for Business
Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Michigan
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

Specialization - 5 course series

Introduction to Data Science in Python

Course 134 hours4.5 (27,089 ratings)

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

Skills you'll gain

Category: Natural Language Toolkit (NLTK)
Category: Text Mining
Category: Python Programming
Category: Natural Language Processing

Applied Plotting, Charting & Data Representation in Python

Course 224 hours4.5 (6,249 ratings)

What you'll learn

  • Describe what makes a good or bad visualization

  • Understand best practices for creating basic charts

  • Identify the functions that are best for particular problems

  • Create a visualization using matplotlb

Skills you'll gain

Category: Graph Theory
Category: Network Analysis
Category: Python Programming
Category: Social Network Analysis

Applied Machine Learning in Python

Course 331 hours4.6 (8,520 ratings)

What you'll learn

  • Describe how machine learning is different than descriptive statistics

  • Create and evaluate data clusters

  • Explain different approaches for creating predictive models

  • Build features that meet analysis needs

Skills you'll gain

Category: Python Programming
Category: Machine Learning (ML) Algorithms
Category: Machine Learning
Category: Scikit-Learn

Applied Text Mining in Python

Course 425 hours4.2 (3,809 ratings)

What you'll learn

  • Understand how text is handled in Python

  • Apply basic natural language processing methods

  • Write code that groups documents by topic

  • Describe the nltk framework for manipulating text

Skills you'll gain

Category: Python Programming
Category: Numpy
Category: Pandas
Category: Data Cleansing

Applied Social Network Analysis in Python

Course 526 hours4.6 (2,703 ratings)

What you'll learn

  • Represent and manipulate networked data using the NetworkX library

  • Analyze the connectivity of a network

  • Measure the importance or centrality of a node in a network

  • Predict the evolution of networks over time

Skills you'll gain

Category: Python Programming
Category: Data Virtualization
Category: Data Visualization
Category: Matplotlib

Instructors

Christopher Brooks
15 Courses894,387 learners
Kevyn Collins-Thompson
University of Michigan
0 Courses0 learners

Offered by

University of Michigan

Prepare for a degree

Taking this Specialization by University of Michigan may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

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."

New to Data Analysis? Start here.

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

Learn more

Advance your career with an online degree

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

Explore degrees

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

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

More questions