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Foundations of Data Science: Computational Thinking with Python

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University of California, Berkeley

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English

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Overview

Learn the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language, Python.

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free

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Type: Online

This course includes

  • 5 Weeks
  • Self-paced on your time
  • Add a Verified Certificate for $199
  • 4–6 hours per week

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Foundations of Data Science: Computational Thinking with Python

Created by -

University of California, Berkeley

0.00

(0 ratings)

English

Wishlist

Overview

Learn the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language, Python.

course image

Skillqore is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

free

provider image

Type: Online

This course includes

  • 5 Weeks
  • Self-paced on your time
  • Add a Verified Certificate for $199
  • 4–6 hours per week

Taken this course?

Share your experience with other students

Share

Add Review

Foundations of Data Science: Computational Thinking with Python

Created by -

University of California, Berkeley

0.00

(0 ratings)

Beginner

Start Date: January 28th 2019

Course Description

We live in an era of unprecedented access to data. Understanding how to organize and leverage the vast amounts of information at our disposal are critical skills that allow us to infer upon the world and make informed decisions. This course will introduce you to such skills.

To work with large amounts of data, you will need to harness the power of computation through programming. This course teaches you basic programming skills for manipulating data. You will learn how to use Python to organize and manipulate data in tables, and to visualize data effectively. No prior experience with programming or Python is needed, nor is any statistics background necessary.

The examples given in the course involve real world data from diverse settings. Not all data is numerical – you will work with different types of data from a variety of domains. Though the term “data science” is relatively new, the fundamental ideas of data science are not. The course includes powerful examples that span the centuries from the Victorian era to the present day.

This course emphasizes learning through doing: you will work on large real-world data sets through interactive assignments to apply the skills you learn. Throughout, the underlying thread is that data science is a way of thinking, not just an assortment of methods. You will also hone your interpretation and communication skills, which are essential skills for data scientists.

What you'll learn

  • Basics of the Python programming language, and how to use it as a tool for data analysis
  • Tools widely used by industry and academic data scientists, such as Jupyter Notebooks
  • How to use computation to help your data tell a story
  • Fundamental principles and methods of visualization

Course Structure

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Mark Complete


About the Instructor

Ani Adhikari,John DeNero,David Wagner,University of California, Berkeley

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