Data Science for Executives

Offered By: Columbia University via edX

Course Description

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

6 reviews
5 weeks, 7-10 hours a week, 7-10 hours a week
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This course will soon be retired. Last day to enroll is July 31st, 2023 at 00:00 UTC.

The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020.

In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.
15 reviews
5 weeks, 7-10 hours a week, 7-10 hours a week
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This course will soon be retired. Last day to enroll is July 31st, 2023 at 00:00 UTC.

Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications.

This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.
19 reviews
5 weeks, 7-10 hours a week, 7-10 hours a week
View details

This course will soon be retired. Last day to enroll is July 31st, 2023 at 00:00 UTC.

This statistics and data analysis course will pave the statistical foundation for our discussion on data science.

You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.

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