Introduction to Data Science in Python, Certificate | Part time online | Coursera | United States
2 days
Duration
Free
Free
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Tuition fee
Anytime
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About

The Introduction to Data Science in Python course offered by Coursera in partnership with University of Michigan is part of the Applied Data Science with Python Specialization.

Visit the Visit programme website for more information

Overview

The Introduction to Data Science in Python course is offered by Coursera in partnership with University of Michigan.

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. 

The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. 

This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.

What You Will 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

Programme Structure

Courses included:

  • Data Manipulation with Python
  • Basic Data Processing with Pandas
  • More Data Processing with Pandas
  • Answering Questions with Messy Data

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

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 Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 days.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

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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