Analytics in Python

Learn the fundamental of programming in Python and develop the ability to analyze data and make data-driven decisions.

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Created by: Hardeep Johar

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Course Description

Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.
The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.
In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data.
This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.
Week 1: Python review
Week 2: Python review
Week 3: Data interchange formats: JSON and XML
Week 4: Web scraping and web crawling
Week 5: Database basics: Relational databases
Week 6: SQL
Week 7: Data analysis and visualization I
Week 8: Data analysis and visualization II
Week 9: Text mining
Week 10: Analysis of networks
Week 11: Machine learning: Part 1
Week 12: Machine learning: Part 2

Intermediate Level

Time: 12 Weeks - 8-10 hours per week

Instructor Details

Hardeep Johar

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Hardeep has a Ph.D. in Information Systems from the Stern School of Business, New York University, is a Fellow of the Indian Institute of Management Calcutta, and has an M.A. in Economics from the Birla Institute of Technology and Science in Pilani, India. Hardeep has had extensive experience in industry. He has worked for many years as a quantitative proprietary trader at Deutsche Bank, Credit Suisse, and Morgan Stanley in New York. He was been on the management team of a startup (Peak Strategy) and an advisory board member of another (mSpoke, Inc.). Prior to joining Columbia, Hardeep has been teaching as an Adjunct Professor at the business schools at NYU, Columbia, and Fordham Universities.