Data Science

Python for Data Science

Provided by The University of California, San Diego (UCSanDiegoX)
$350 USD
for a certificate
Study for free

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Part of MicroMasters: Data Science
Course Format:Instructor-Led
Start Date:Sep 4, 2018

What you will learn

  • Basic process of data science
  • Python and Jupyter notebooks
  • An applied understanding of how to manipulate and analyze uncurated datasets
  • Basic statistical analysis and machine learning methods
  • How to effectively visualize results

Overview

In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

This course, part of the Data Science MicroMasters program, will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science. Specifically, you’ll learn how to use:

  • python
  • jupyter notebooks
  • pandas
  • numpy
  • matplotlib
  • git
  • and many other tools.

You will learn these tools all within the context of solving compelling data science problems.

After completing this course, you’ll be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily sharable reports.

By learning these skills, you’ll also become a member of a world-wide community which seeks to build data science tools, explore public datasets, and discuss evidence-based findings. Last but not least, this course will provide you with the foundation you need to succeed in later courses in the Data Science MicroMasters program.

Before you start

Previous experience with any programming language (Java, C, Pascal, Fortran, C++, Python, PHP, etc.) is expected. This includes a high school, or undergraduate equivalent, to an introduction to computer science course. Learners should be comfortable with loops, if/else, and variables.

  • Instructor-Led: course contains assignments and exams that have specific due dates, and you complete the course within a defined time period.
  • Course ends: Nov 9, 2018

FAQ

Who can take this course?

Unfortunately, learners from Iran and Cuba will not be able to register for this course. While edX has received a licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer courses to learners from these countries, our licenses do not cover this course. EdX truly regrets that US sanctions prevent us from offering all of our courses to everyone, no matter where they live.

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