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Teaching Professor of Statistics

Company: edX Inc.
Location: Berkeley
Posted on: February 20, 2021

Job Description:

Data Science: Computational Thinking with Python Learn the basics of computational thinking, an essential skill in today's data-driven world, using the popular programming language, Python. I would like to receive email from BerkeleyX and learn about other offerings related to Data Science: Computational Thinking with Python. This course is part of a Professional Certificate Length: 5 Weeks Effort: 4-6 hours per week Price: FREE
Add a Verified Certificate for 163 EUR Interested in this course for your Business or Team? Train your employees in the most in-demand topics, with edX for Business. 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.

  • 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 Giancarlo Teaching Fellow in the EECS Department Pursue a Verified Certificate to highlight the knowledge and skills you gain 163 EUR Official and Verified Receive an instructor-signed certificate with the institution's logo to verify your achievement and increase your job prospects Easily Shareable Add the certificate to your CV or resume, or post it directly on LinkedIn Proven Motivator Give yourself an additional incentive to complete the course Support our Mission EdX, a non-profit, relies on verified certificates to help fund free education for everyone globally

Keywords: edX Inc., Berkeley , Teaching Professor of Statistics, Education / Teaching , Berkeley, California

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