Data Science Certificate Program

Crash Course on Data Science

Learn the Basics and Intermediaries of Data Science in this 8-week Crash Course

This program will serve as an introduction to data science, while covering the various stages in its life cycle including data manipulation, data analysis, statistical concepts, and machine learning. Understanding these stages provides the knowledge necessary to tackle real-world, data rich problems in business and academia. This program is designed to drive your ability to visualize and derive insights thus making difficult business decisions more affordable and optimal.

This course is intended for data analysts, data engineers, data scientists, data architects, and other data professionals.

This course is not yet scheduled, but we can notify you when it is.

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Benefits and Outcomes

Stay Empowered by Making Informed Decisions

  • Ability to dissect and understand Data
  • Utilize data science in your career
  • Advance your skill set
  • Extract meaningful insights
  • Career advancement
  • Become a data science practitioner

Learning Objectives

  • Data Wrangling
  • Data Munging
  • Feature Engineering
  • Model Selection
  • Visualization

Suggested Prerequisite

A fundamental understanding of Python and statistics

Technology Requirements

You are encouraged to bring a laptop or other device for note taking.

Ahalya Vikram

Ahalya Vikram

Lead Data Scientist, TATA Consultancy Services

With 15 years of analytical experience in the banking and retail industry, Ahalya passionately enjoys data mining and analysis in her career. Having earned a Masters in Information Technology and Business Administration from the University of Texas at Arlington, she has both the technical expertise and business acumen to pursue data science. Her focus is to enable businesses to make better decisions based on data.

Divya Dadi

Divya Dadi

Data Scientist, TATA Consultancy Services

Divya Dadi is an experienced data scientist with Tata Consultancy Services. She helps clients across multiple industries solve business problems using data analysis and statistical modeling. She has worked on projects including time series forecasting models, text mining, regression, and other statistical models. She completed her Masters in Management Information Systems at Oklahoma State University in 2016.