Explore the theory, languages and concepts of data science while acquiring the Python programming knowledge you need to solve real-world data challenges. *The course requires an undergraduate knowledge of statistics, linear algebra, and probability.
Data has been called the new global currency, and its meteoric rise is transforming entire industries—and driving the demand for practitioners who can wield its power. From health care and finance to entertainment, cybersecurity and beyond, the need for data scientists continues to grow in tandem opportunities for career advancement within the field.
To help fill this talent gap and further the use of data science to solve real-world problems, Columbia Engineering Executive Education has partnered with Emeritus to create the Applied Data Science course.
Since this course requires an intermediate knowledge of Python, you will spend the first part of this course learning Python for Data Analytics taught by Emeritus. This will provide you with the programming knowledge required to do the assignments and application projects that are part of the Applied Data Science course. No prior programming knowledge is required.
The course requires an undergraduate knowledge of statistics (descriptive statistics, regression, sampling distributions, hypothesis testing, interval estimation etc.), linear algebra, and probability.
Postings for data scientist jobs jumped by 65% from Jan 2015 to Jan 2018
Expected wage growth for data scientists vs. <2% average wage increase across all occupations
Increase in data science jobs by 2020
Explore the theory, languages and concepts of this in-demand field while acquiring the Python programming knowledge you need to solve real-world data challenges. At the end of the course, you will be able to:
Data Wrangling using CNC Mill Tool Wear Data
Hypothesis Testing using Cancer Atlas Data
Data Exploration using Lending Club Loan Data
Natural Language Processing (NLP) implementation using Amazon product reviews
Note: All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Professor Vineet Goyal has a Bachelor's degree in Computer Science from Indian Institute of Technology, Delhi and a Ph.D. from Carnegie Mellon University... More info
Costis Maglaras is the David and Lyn Silfen Professor of Business at Columbia University. His research lies on the interface of stochastic modeling with operations management... More info
Hardeep Johar received an M.A. in Economics from the Birla Institute of Technology and Science and is a Fellow of the Indian Institute of Management Calcutta... More info
Vineet GoyalProfessor Vineet Goyal has a Bachelor's degree in Computer Science from Indian Institute of Technology, Delhi and a Ph.D. from Carnegie Mellon University. Before coming to Columbia, he spent two years as a Postdoctoral Associate at the Operations Research Center at MIT. Professor Goyal is interested in the development of tractable approaches for dynamic optimization problems under uncertainty and their applications in electricity markets, revenue management and supply-chain and inventory management.
Costis MaglarasCostis Maglaras is the David and Lyn Silfen Professor of Business at Columbia University. His research lies on the interface of stochastic modeling with operations management, with emphasis on stochastic networks, financial engineering, and quantitative pricing and revenue management. Costis received his BS in Electrical Engineering from Imperial College, London, and his MS and PhD in Electrical Engineering from Stanford University.
Hardeep JoharHardeep Johar received an M.A. in Economics from the Birla Institute of Technology and Science and is a Fellow of the Indian Institute of Management Calcutta. He received a Ph.D. in Information Systems from the Stern School of Business, New York University. Prior to joining Columbia, Johar has worked as a quantitative trader at Morgan Stanley, Credit Suisse and Deutsche Bank, at a tech startup (MSpoke), and has taught at NYU Stern School of Business and the Gabelli School of Business Fordham University.
“What I liked about the course was the clarity in concepts and good use of examples. The course leaders, support team and professors gave a superb explanation and provided overall support during webinars, office hours and on mail.”
— Shahid Mohsin Tanwar, Manager, Mahindra and Mahindra Ltd
“The highlight of this course was the use of grading platform - the ability to create cells and try out ideas and get immediate feedback was a huge help.”
— Steve Greig, Founder, New Machine Factory
“The best part of the course was the practical examples, and detailed explanations, supported by documented material which was helpful.”
— Alejandro Suarez, CIO, Sigma Alimentos Corporativo, S.A. De C.V.
Upon successful completion of the course, participants will receive a verified digital certificate from Emeritus in collaboration with Columbia Engineering Executive Education.Download Brochure