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Advanced Certificate Program in

Business Analytics for Decision Making

Data Analytics has become an essential component of every decision making process. For better decision-making collecting and analyzing the data plays very important role. In such a situation business analytics (BA) plays a critical role by analysing data to solve business problems and improve decision-making. It involves data collection, data analysis, data visualization and data-driven decision-making. It includes variety of tools, for data cleaning, editing and then analyzing with the help of quantitative techniques such as regression, clustering and classification, factor analysis, data and text mining It can help businesses to improve their operational efficiency and market reach for gaining a competitive advantage.

Industry Expert From:

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Mode

Online

Duration

6 Months

Admissions Open

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Let us help you guide towards your career path
60

Hours of Live Sessions

Dive into 100% Live Session and Campus Immersion by IIT Professors

9

Harvard Business School Case Study

Hone Your Business Acumen with Case Studies

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Tools Covered

Seize the Chance to Apply Your Knowledge Across Diverse Case Studies

Admission Open

Program Highlights

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Business analytics and market research program highlights
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Who is this program for?

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who can become a business analyst

Program Details

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Business Analyst Program Details

Companies seeking applicants for Business Analyst

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Best-in-class content for the students from Hunarho!

The learning path to the program

Module 1

Research Methods

Module 2

Introduction to Business Analytics

Module 3

Data Analysis Techniques

Module 4

Applications of Business Analytics

Module 5

Hands on Training with Databases

Case Studies

HBS Case Studies and Practical Applications

Tools Coverd

These courses cover essential tools and techniques for enhancing productivity, efficiency, and proficiency in various professional domains.

Industry Recognized Certification

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Upon successfully completing the Business Analytics for Decision Making Program, participants with a minimum attendance of 75% will receive a prestigious Certificate of Completion. For those with slightly lower attendance, a Certificate of Participation will be awarded. We encourage full participation in all live sessions to maximize the value of this engaging, interactive learning experience. Excel in your journey and showcase your dedication through these well-earned certificates.

Share your certificate and gain visibility

  • Demonstrate your skills & capabilities

  • Acquire a competitive advantage
  • Grab the attention of recruiters

  • Take a leap towards your first job
IIT Roorkee Certificate

Meet The Program Director

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Dr.J.K.Nayak

Dr. Jogendra Kumar Nayak is working as an Associate Professor of Marketing in the Department of Management Studies, Indian Institute...

Meet The Program Faculty

Industry Expert

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Mikul Patel

Mikul Patel is a seasoned product manager with over 7 years of experience spanning startups and leading tech enterprises. Currently working at Microsoft...

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Nabeel Kangoo

Nabeel Kangoo is an accomplished professional with diverse experience in consulting and strategy. Currently he is based in Chicago...

Program Fee

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Total Admission Fees

₹ 90,000/-

₹ 1,50,000/-

(+ 18% GST)

Below EMI plans are available for the Program Fee: INR 90,000 /- (+ 18% GST)

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Eligibility, Requirements & Learning Outcomes

  • All Graduates from any discipline like, Business, Economics, Computer Science, or related fields.
  • Basic understanding of statistics and mathematics.
  • Prior experience in programming or data analysis is advantageous but not mandatory.
  • Professionals looking to upskill or change careers into business analytics are encouraged to apply
  • Marksheet – Individual or consolidated (all semesters)
  • Diploma/ Degree/ Doctorate
  • Passing Certificate – If Any
  • Any Government-issued photo ID like PAN Card/ Driving License/ Passport, etc
  • Access to a computer with sufficient processing power to run data analysis software (Excel, R, Python).
  • Willingness to dedicate time to hands-on exercises, projects, and group work.
  • Commitment to continuous learning and participation in discussions.
  • Familiarity with basic spreadsheet operations and statistical concepts.

 

This programme includes live online classes conducted. To attend a live online class you will need to have a PC/ Laptop/ Mac with:

  • Speakers and microphone: built-in or a USB plug-in or wireless Bluetooth
  • Webcam: built-in or USB plug-in
  • Processor: with Dual Core 2Ghz or higher (i3/ i5/ i7 or AMD equivalent)
  • RAM: 4 GB or higher
  • OS: Either MacOS 10.7 or higher OR Windows 8 or higher
  • An internet connection: Minimum bandwidth of 3.0 Mbps (up/ down)

 

We recommend that you attend classes from a PCs/ Laptops/ Mac

  • Develop a deep understanding of business analytics concepts and methodologies.

  • Gain proficiency in data analysis techniques, including descriptive and inferential statistics.

  • Learn to apply machine learning models to real-world business problems and derive actionable insights.

  • Acquire hands-on experience with data visualization tools such as Excel, R, and Python.

  • Understand the application of analytics in marketing, finance, operations, supply chain, and human resources.

  • Build the skills necessary to formulate strategic recommendations based on data-driven insights.

  • Engage in practical case studies and a capstone project to apply analytical techniques in solving complex business problems.

Learners Support

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Email

Send an email to support@hunarho.com

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Contact

Call us at +91 7304002635

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Frequently Asked Questions

This program is ideal for graduates, professionals, marketers, finance experts, and business owners seeking to enhance their skills in data analysis, market research, and strategic decision-making. Perfect for anyone looking to apply data-driven insights in their career or business.

Business Analytics involves analyzing data to make informed business decisions, identify trends, and optimize processes. Market Research focuses on gathering and analyzing data about consumers, competitors, and market conditions. Together, they help businesses understand market dynamics, forecast demand, and develop data-driven strategies for success.

Business Analytics and Market Research are crucial for data-driven decision-making. They help businesses understand market trends, consumer needs, and competition, enabling better forecasting, risk reduction, and strategic growth.

Prior experience in programming is advantageous but not mandatory. We provide introductory materials for those new to programming.

You will learn tools such as Excel, SPSS, R, and Power Bi for data analysis, visualization, and machine learning.

This course will equip you with in-demand skills in data analytics, helping you to transition into roles such as Business Analyst, Data Analyst, or Analytics Consultant.

FAQs

Yes, you will receive certificates from Google, HubSpot, and Semrush in addition to the industry-recognized Hunarho certificate.

Yes, you may apply; however, in order to be guaranteed a job, you must submit your final year’s grades.

Recruiters give our students a minimum salary of 3LPA to 8 LPA.

The placement process starts after you finish your course, which depends on your successful completion of the tests and interviews. The placement drive begins towards the end of the program and lasts for a few weeks, running alongside additional sessions, tests, and mock interviews.

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Assoc Prof. Jogendra Kumar Nayak

Dr. Jogendra Kumar Nayak is working as an Associate Professor in the Department of Management Studies,
Indian Institute of Technology, Roorkee, India since 2012. Beginning his academic career as Civil engineer he
obtained Ph.D. from the Indian Institute of Technology, Kharagpur, India. His area of interest is marketing
research, pricing strategies and B2B trading and has equally good interest in research in the same areas. He
is an established expert of Capital market and investment strategies. Being a stock market practitioner, his
investment strategies are largely based upon Fundamental analysis. He has already guided nine research
scholars and six more scholars are currently working under his guidance. He has completed nine short term
programs on data analysis for research and publication, completed four NPTEL courses which are continuing
as of now and has been invited as an expert for various programs conducted by other institutes on research
related themes. He has published papers in journals of Elsevier, Springer, Sage, Emerald, and Taylor and
Francis. Some of his works are in Journal of Business ethics, Journal of Retailing and Consumer Services,
Journal of Product & Brand Management, Journal of Business & Industrial Marketing, Journal of Consumer
Marketing, Journal of Cleaner Production, etc. He is also a reviewer of several international journals of
repute.

Mikul Patel

Mikul Patel is a seasoned product manager with over 7 years of experience spanning startups and leading tech enterprises. Currently working at Microsoft, he specializes in enterprise commerce by building modern commerce platforms that streamline contracting and notifications. His efforts have reduced contract creation time from 3 hours to 2 minutes and contributed to deals worth $40 billion annually. A former founder of Moodcafe, a mental health startup that served over 20,000 users and saved 9 lives, Mikul brings expertise in customer experience, SaaS product development, and platform management. His passion lies in creating impactful products, fostering innovation, and enhancing user experiences.

Nabeel Kangoo

Nabeel Kangoo is an accomplished professional with diverse experience in consulting and strategy. Currently he is based in Chicago, specializing in strategic initiatives across industries. With a strong foundation from his time at EXL, where he held leadership roles such as Senior Manager and Consultant, Nabeel has honed his expertise in managing complex business challenges. He holds an MBA from the University of Chicago Booth School of Business and a B.Tech. in Civil Engineering from IIT Roorkee. Nabeel’s global outlook is reflected in his experiences, including internships at OYO Vacation Homes in Europe and AIESEC Malaysia, where he led sustainable development projects. His passion lies in driving growth, fostering innovation, and creating a lasting impact through strategic problem-solving.

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Dr. Pradumn Pandey

Dr. Pradumn Pandey, an Assistant Professor at IIT Roorkee, specializes in network modeling, data analysis, and optimization. With a PhD in Complex Networks Modeling and Diffusion Dynamics from IIT Jodhpur and prior experience as a DST INSPIRE Faculty, Dr. Pandey’s research interests include intelligent optimization, network representation learning, system modeling, community detection, and diffusion dynamics. His expertise lies in applying analytical techniques to understand complex networks and processes. In this program, Dr. Pandey will guide participants in leveraging business analytics, data analysis, and system modeling for strategic decision-making and real-world problem-solving.

Prof. A.K. Sharma

Dr. Anil K. Sharma, a Professor at the Department of Management Studies, IIT Roorkee is M. Com and M. Phil, First Class First and Gold Medallist and Ph.D. in Financial Management from Panjab University Chandigarh. He is working at IIT Roorkee for the past more than 22 years and has more than 27 years of teaching experience in total. His area of interest is finance & accounting and he has equally good interest in research in the same area. He has published 170 research papers in International and National refereed journals and refereed conference. He has guided 23 PhD scholars and 13 scholars are currently working with him. One of his scholars has been awarded prestigious Commonwealth Scholarship and Associate Fellowship for Higher Education Academy, UK. He along with 03 of his Ph.D. scholars has been awarded best paper awards for their papers presented in different international conferences. He is the chief editor of one International Journal, regional editor of one international journal and editorial board member of five International and National Journals and reviewer to more than twenty International and National Journals of repute. He has been visiting faculty to School of Management, AIT Bangkok and to many IIMs like IIM Amritsar, Sirmaur and others. Before joining IIT Roorkee in 2001, he had served three reputed Universities of the country. He is registered consultant of Asian Development Bank, Manila, Honorary Research fellow Metharath University, Thailand and Honorary Rosalind Member of London Journals Press

Prof. Piyush Pandey

Dr. Piyush Pandey is an Assistant Professor of Finance in Shailesh J. Mehta School of Management, IIT Bombay and Associate faculty at Centre for Machine Intelligence and Data Science (C-MInDS) at IIT Bombay. He is Ph.D. in Finance from Dept. of Financial Studies, Delhi University. After his post graduation (Masters in Finance & Control) from Department of Financial Studies, Delhi University, he worked for 2 years in UBS ISC (now acquired by Cognizant Technology Solutions) in Equity Research and Fixed Income Structuring roles. His research interests lie in investment management, banking and financial derivatives. He has worked as Principal Investigator on major research project sponsored by Ministry of Corporate Affairs, GOI on “Decision support system to predict bankruptcy for Indian (M)SMEs using Statistical and Artificial Intelligent Techniques”. He has published his research work in peer reviewed economics and finance journals of international repute (affiliated to Springer, Elsevier, Taylor & Francis, Emerald). He has published a research monograph titled “Economic and Financial Integration in South Asia: A Contemporary Perspective” with his co-a thors in Routledge, Taylor & Francis Group.

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