Business Analytics Basics – Data-Driven Decision-Making for Professionals
Build a strong foundation in business analytics to make smarter, data-backed decisions. This course introduces you to the core concepts, analytical frameworks, and practical tools used by professionals in marketing, operations, finance, and strategy roles.
Cohort Info
- Program Duration: 2 Months
- Next Cohort Launch: 1st of every month
- Application Deadline: 15th of every month
Key Highlights
- Mode of Learning: Online ILT / Hybrid (Optional)
- Number of Projects: 2 Case Study Projects
- Language of Instruction: English
- Learn the end-to-end analytics workflow from data collection to decision-making.
- Understand descriptive, diagnostic, predictive, and prescriptive analytics.
- Apply Excel, Power BI, and SQL for business insights.
- Master KPI tracking, dashboards, and business reporting.
- Suitable for all professional backgrounds—no coding required.
Course Highlights
- Program Duration: 10 Months
- Number of Projects: 6 Applied Projects + 1 Capstone
- Live Sessions: 160 Hours (Instructor-Led)
- Self-Paced Learning: 80 Hours of structured assignments
- Credit Load: 18 Academic Credits
- Mode of Learning: Online ILT + Virtual Labs (Hybrid Optional)
- Language of Instruction: English
About Program
This program spans 2 months (8 weeks) with a total of 64 hours of structured learning. It includes a blend of instructor-led training and self-paced learning activities.
Projects & Case Studies
Participants will work on 2 case study projects, designed to provide practical application of concepts learned during the sessions.
Mode of Delivery
Delivered in Online Instructor-Led Training (ILT) format, with an option for Hybrid learning to combine online and offline sessions.
The entire program, including lectures, assignments, and assessments, is conducted in English.
Course Curriculum
Modules designed to meet current industry standards.
01
Introduction to Business Analytics & Decision Science - Key concepts, types of analytics, and business value.
02
Data Collection & Cleaning - Gathering, structuring, and validating business data.
03
Analytics Tools & Techniques - Using Excel, SQL, and visualization tools for insights.
04
KPI Development & Dashboarding - Creating metrics for business performance tracking.
05
Presenting Data-Driven Recommendations - Storytelling with analytics, executive reporting.
What You’ll Learn
Essential Skills & Tools for Leading Projects in the Digital Age
Business data interpretation, KPI development, decision modeling, performance analysis.
MS Excel, Power BI, SQL basics, Google Data Studio.







Need to know more?
Need to know more?
Need to know more?
Get to know the course in depth by downloading the course brochure
What Our Learners Say: Read Real Outcomes, Real Voices
“The curriculum’s research depth and hands-on approach helped me transition from a data analyst to a deep learning engineer. The faculty’s mentorship is a game-changer.”
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Aparna S.
Product Owner (NBFC, Digital Payments)
I joined in order to transform buzzwords into delivery.” The Banking Sandbox was the difference; I mapped the stakeholder handoffs and prototyped a tokenized refund flow with simple smart-contract logic. The executive hybrid format worked for my release schedule. We were honest about controls and audit trails—not just demos—during the 144 hours of live instruction. Although we’re still improving, our incident and chargeback playbooks are now more transparent.
Raghav M.
Risk & Compliance Analyst (BFSI)
Tech and regulation were linked in the curriculum. I was able to create rule sets that we could actually uphold with the aid of risk-modeling labs and case work on KYC/AML scenarios. I created a workflow for gathering evidence and a small dashboard for alerts, which our reviewers used. I’m not a developer because of the blockchain projects, but I can assess vendors more critically and schedule changes to comply with regulations.
Zoya K.
CS final-year student
I wasn’t content with theory. I completed three small projects in the Blockchain Lab: a dashboard for transaction metrics, a simple smart contract with unit tests, and a payments mock on a testnet. In addition to code, the mentors pushed for documentation and threat assumptions. I’ve been shortlisted for two product/engineering internships because I can explain design trade-offs, and my GitHub now displays end-to-end work.
Naveen T.
FinTech Analyst, MBA in Finance
Since I’m not a programmer, I relied on the business-first framing and executive hybrid schedule. I was able to create a strong business case for a lending workflow by using the six implemented FinTech use cases, which covered costs, risks, and the areas where blockchain adds value (and where it doesn’t). While I was in charge of compliance and metrics, my classmate, who worked on the contract code, co-authored our capstone. Interviews were easier because I could display results rather than just slides.
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Aparna S.
Product Owner (NBFC, Digital Payments)
I joined in order to transform buzzwords into delivery.” The Banking Sandbox was the difference; I mapped the stakeholder handoffs and prototyped a tokenized refund flow with simple smart-contract logic. The executive hybrid format worked for my release schedule. We were honest about controls and audit trails—not just demos—during the 144 hours of live instruction. Although we’re still improving, our incident and chargeback playbooks are now more transparent.
Raghav M.
Risk & Compliance Analyst (BFSI)
Tech and regulation were linked in the curriculum. I was able to create rule sets that we could actually uphold with the aid of risk-modeling labs and case work on KYC/AML scenarios. I created a workflow for gathering evidence and a small dashboard for alerts, which our reviewers used. I’m not a developer because of the blockchain projects, but I can assess vendors more critically and schedule changes to comply with regulations.
Zoya K.
CS final-year student
I wasn’t content with theory. I completed three small projects in the Blockchain Lab: a dashboard for transaction metrics, a simple smart contract with unit tests, and a payments mock on a testnet. In addition to code, the mentors pushed for documentation and threat assumptions. I’ve been shortlisted for two product/engineering internships because I can explain design trade-offs, and my GitHub now displays end-to-end work.
Naveen T.
FinTech Analyst, MBA in Finance
Since I’m not a programmer, I relied on the business-first framing and executive hybrid schedule. I was able to create a strong business case for a lending workflow by using the six implemented FinTech use cases, which covered costs, risks, and the areas where blockchain adds value (and where it doesn’t). While I was in charge of compliance and metrics, my classmate, who worked on the contract code, co-authored our capstone. Interviews were easier because I could display results rather than just slides.
Designed for Ambitious Professionals
- Business Analyst
- Data-Driven Strategist
- BI Associate
Business analytics roles are projected to grow 23% by 2031 globally.

₹4 – ₹7 LPA in India
Designed for Ambitious Professionals
- Business Analyst
- Data-Driven Strategist
- BI Associate
Business analytics roles are projected to grow 23% by 2031 globally.

₹4 – ₹7 LPA in India
You Asked, We Answered
No, this is a beginner-friendly program.
No coding is required; focus is on tools and frameworks.
Yes, from finance, retail, and marketing domains.
Yes, free access to required tools is provided during training.
Yes, through MSM Grad’s career services.
Yes, sessions are designed for working professionals.
Yes, industry-recognized certification from MSM Grad is awarded.
Typically 35–40 learners for personalized learning.
Yes, projects, assignments, and quizzes are part of the course.
Yes, all learning materials are accessible post-course.