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Columbia University

Data Science for Executives

Columbia University via edX Professional Certificate

Overview

Data science is making us smarter and more innovative in so many ways. How does it all work? In this Data Science and Analytics Professional Certificate program you will gain insight into the latest data science tools and their application in finance, health care, product development, sales and more. With real world examples, we will demonstrate how data science can improve corporate decision-making and performance, personalize medicine and advance your career goals.

Taught by a distinguished team of professors at Columbia University’s Data Science Institute, this program is perfect for anyone who wants to understand basic concepts in data science without getting into the weeds of programming. Aimed at organization leaders, business managers, health care professionals and anyone considering a career in data science, this program will steep learners in the fundamentals of statistics, machine learning and algorithms. It will also introduce emerging technologies such as the Internet of Things (IoT) , or wirelessly connected products, and techniques that allow computers to summarize mountains of text, audio and video. Concrete examples provided throughout the program will ensure that learners fully grasp and master key concepts.

Syllabus

Courses under this program:
Course 1: Statistical Thinking for Data Science and Analytics

Learn how statistics plays a central role in the data science approach.



Course 2: Machine Learning for Data Science and Analytics

Learn the principles of machine learning and the importance of algorithms.



Course 3: Enabling Technologies for Data Science and Analytics: The Internet of Things

Discover the relationship between Big Data and the Internet of Things (IoT).



Courses

Taught by

Tian Zheng, Kathy McKeown, Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer, Mihalis Yannakakis, Peter Orbanz, Fred Jiang, Julia Hirschberg, Michael Collins, Shih-Fu Chang , Zoran Kostic, Andrew Gelman , David Madigan, Lauren Hannah, Eva Ascarza and James Curley

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Reviews

1.0 rating, based on 1 reviews

Start your review of Data Science for Executives

  • Anonymous
    I am really disappointed by this course:

    1. Contents presented do not match to what one would expect from "Data Science for Executives", and to what is described in the course syllabus. A large part of the courses is a random collection of contents that are only remotely relevant or connected to data science.

    2. Also this course is in no way relevant or suitable for "Executives" as suggested by the course series title. Much too detailed and failing to give a "big picture" overview of the field!

    Overall it makes the impression of a random collection of (mediocre) lectures, that were bundled together and named for maximum commercial impact

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