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Applied Data Science with Python Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
4 months
Duration
4 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

The 5 courses in this Applied Data Science with Python Specialization offered by Coursera in partnership with University of Michigan introduce learners to data science through the python programming language.

Overview

This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.

What You Will Learn during the Applied Data Science with Python Specialization offered by Coursera in partnership with University of Michigan

  • Analyze the connectivity of a social network
  • Conduct an inferential statistical analysis
  • Discern whether a data visualization is good or bad
  • Enhance a data analysis with applied machine learning

Skills you'll gain

  • Python Programming
  • Data Analysis
  • Computer Programming
  • Machine Learning
  • Algorithms
  • Applied Machine Learning
  • Machine Learning Algorithms
  • Statistical Programming
  • Data Management
  • Critical Thinking
  • Graph Theory
  • Computer Programming Tools

Programme Structure

Courses include:

  • Data Science in Python
  • Applied Plotting, Charting & Data Representation in Python
  • Applied Machine Learning in Python
  • Applied Text Mining in Python
  • Applied Social Network Analysis in Python

Key information

Duration

  • Part-time
    • 4 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level: Some related experience required.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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