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Offered by :

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Business Analytics from Harvard Business School Online

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40 Hours

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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.


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?

Interpret data to inform business decisions.
Recognize trends, detect outliers, and summarize data sets.
Analyze relationships between variables.
Develop and test hypotheses.
Craft sound survey questions and draw conclusions from population samples.
Implement regression analysis and other analytical techniques in Excel.

About this Specialization

Business Analytics introduces quantitative methods used to analyze data and make better management decisions. This course is not based on rote memorization of equations or facts, but focuses on honing your understanding of key concepts, your managerial judgment, and your ability to apply course concepts to real business problems..


Module 1: Describing and Summarizing Data

  • Recognize trends in data and detect outliers
  • Summarize data sets concisely
  • Analyze relationships between variables
  • Create visual representations of data in Excel
  • Define and calculate descriptive statistics
  • Create scatter plots and calculate the correlation coefficient
  • Quiz


Module 2: Sampling and Estimation

  • Create representative samples and draw conclusions about the larger population
  • Craft sound survey questions
  • Calculate sample statistics and apply the properties of the normal distribution
  • Calculate confidence intervals to estimate the accuracy of statistics
  • Quiz


Module 3: Hypothesis Testing

  • Quantify the evidence in favor of or against your hypothesis in order to make managerial decisions
  • Develop and test hypotheses in Excel to assess the impact of changes on an entire population or estimate differences between populations
  • Interpret the results of a series of website A/B tests
  • Quiz


Module 4: Single Variable Linear Regression

  • Analyze the relationship between two variables and develop forecasts for values outside the data set
  • Identify the best fit line for a data set and interpret its equation through an analysis of housing data
  • Perform a regression analysis of box office and home video sales using Excel and interpret the output
  • Quiz


Module 5: Multiple Regression

  • Identify relationships among three or more variables to improve understanding of data and provide better forecasts
  • Estimate the relative predictive power of different combinations of variables by performing and interpreting a multiple variable regression analysis using Excel
  • Apply multiple regression analysis to a staffing challenge faced by a hotel
  • Expand the range of your analysis by using dummy and lagged variables
  • Quiz

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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