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Data Science for Business from Harvard Business School Online

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4 Weeks

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Course Mode

Self Study

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Program Overview

World-class faculty.
Edge-of-your-seat online learning.
Global peer collaboration and networking.
Real-world, case-based learning.


Our easy online application is free, and no special documentation is required. All applicants must be at least 18 years of age, proficient in English, and committed to learning and engaging with fellow participants throughout the course. We confirm enrollment eligibility within one week of your application.

What you will learn?

Move beyond the spreadsheet with a foundational understanding of data science tools, processes, and models, to understand the importance of data science and how it relates to business decisions and organizational success.
Leverage data science to hone your decision-making skills and learn how to identify and avoid common mistakes while interpreting datasets, metrics, and visualizations.
Create a data-driven framework for your organization and for yourself; develop hypotheses and insights; identify data and missing components; and speak a common language with your data teams to lead to actionable recommendations.
Understand key techniques such as data curation, regression models, prediction and analyses, and visualization, and learn how to read basic code, such as R, in order to comprehend the syntax that informs data requests.
Assess applicable methodologies in statistics, data analytics, and data science by hearing from real-world examples across industries, topics, and business challenges.

About this Specialization

Data Science for Business teaches you how to effectively use data to tackle your business decisions and motivate those around you to take action based on evidence. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.
Data Science for Business will teach you how to think beyond the spreadsheet, and effectively use data to tackle your business decisions, becoming a stronger manager. By the end of the course, you should understand how to create a data-driven framework for your organization or yourself; develop hypotheses and insights from visualization; identify data mistakes or missing components; and, speak the language of data science across themes such as forecasting, linear regressions, and machine learning to better lead your team to long-term success.


Module 1: The Data Science Shift        

Case Studies

  • Carvana: Good Data and Bad Buys


  • Apply the steps of the Data Driven Decision Framework

  • Identify the benefits that data science brings to business problems

Key Exercises

  • Translate business problems into data hypotheses

  • Explore and describe datasets

  • Use visualizations to generate hypotheses

Module 2: Data Wrangling     

Case Studies

  • Fannie Mae: Identifying Investments


  • Relate the quality of data with the the quality of the conclusions

  • Assess the quality of data

  • Guide decisions for merging tables and managing missing data

Key Exercises

  • Prepare and clean data for analysis

  • Examine data dictionaries

  • Design table joins

  • Identify solutions for managing missing data

Module 3: Visualization          

Case Studies

  • StockX: Drawing Demand


  • Incorporate visualizations throughout the data science process

  • Interpret charts and graphs

  • Develop questions from visualizations

  • Design visualizations for clear communication with maximal impact

Key Exercises

  • Critique existing charts and identify methods of improvement

  • Generate insight with graphs

  • Design visualizations to express data clearly

Module 4: Time Series Forecasting    

Case Studies

  • NICU beds: Creating Capacity


  • Connect yesterday’s data with tomorrow’s prediction

  • Evaluate temporal patterns in data

  • Match the time scale with the business problem

  • Select appropriate smoothing techniques for time series forecasting

Key Exercises

  • Determine when time series analysis is useful and informative

  •  Select appropriate methods for exponential smoothing

Module 5: Linear Regressions

Case Studies

  • Bark Gift Shop: Motivating Managers

  • ATO Pictures: Marketing Movies


  • Interpret linear regression results

  • Extend intuition into analysis

  • Apply advanced methods to gain sophistication and insight to your understanding

Key Exercises

  • Identify relationships between variables

  • Write hypotheses

  • Explain the parts of a linear model, including interactions and dummy variables

  • Interpret linear regression results

Module 6: Logistic Regressions and Machine Learning

Case Studies 

  • Carvana and Fannie Mae


  • Differentiate linear and logistic regression

  • Conceptualize Machine Learning

  • Evaluate model fit

Key Exercises

  • Complete a confusion matrix

  • Interpret results from logistic regression, CART, random forest, lasso, and neural networks

  • Select a model to guide decisions

Institute Information

Established in 2001 and adeptly run by the Sringeri Mutt with the benign blessings of Sri Sri Bharathitheertha Mahaswamigal, the College believes in keeping a proactive approach for the overall development of the students.

ASIET is the first self-financing technical education centre to be awarded the ISO 9001: 2008 certification. Our Alumni are prestigious and many occupy responsible positions across prestigious organizations in India and abroad. The institute is affiliated to the APJ Abdul Kalam Technological University, accredited by NBA and approved by AICTE.

Harvard Business School Online launched as HBX in 2014 to deepen the School’s impact and broaden its reach, all while staying true to the HBS mission: to educate leaders who make a difference in the world. The nuance? Now we could reach those leaders wherever they are—in the world, in their careers, and in their lives. Since, HBS Online has educated 100,000-plus learners from more than 175 countries via our innovative online platform.

About Institution

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Contact Us

+91 85901 36067

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