Introduction to Data Science in Python

Add your review

Introduction to Data Science in Python – A free online course from the University of Michigan.

Course description – Introduction to Data Science in Python

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.

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

Subscribe to Receive the Best Learning Opportunities

Course Details: Introduction to Data Science in Python

Institution

Level

Language

, , , , ,

Duration

Certificate

Course Provider

User Reviews

0.0 out of 5
0
0
0
0
0
Write a review

There are no reviews yet.

Be the first to review “Introduction to Data Science in Python”

Your email address will not be published. Required fields are marked *

Introduction to Data Science in Python
Introduction to Data Science in Python
Nasroo