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Key Highlights

  • Mode of Learning: 100% Online ILT
  • Total Hours: 32 Hours (24 ILT + Self-paced Assignments)
  • Language of Instruction: English
  • Mapped to NASSCOM SSC/Q8104 NOS for Data Analyst roles.
  • Covers descriptive and inferential statistics with hands-on applications.
  • Real-world examples for data interpretation and decision-making.
  • Suitable for aspiring data analysts and business professionals.
  • Industry-aligned curriculum ensuring job-ready skills.

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

Duration and Learning Hours

This program runs for 2 months (8 weeks) with a total of 32 hours of learning. It includes 24 hours of live instructor-led training supported by self-paced assignments for deeper practice.

Modules Covered:

The course is delivered entirely in English, including lectures, assignments, and assessments.

Core Statistical Concepts – a single, comprehensive module designed to build strong foundations in statistics.

Mode of Delivery: Conducted through 100% online instructor-led training (ILT) for an interactive virtual classroom experience.

Project-Based Learning
Academic Load and Credits
Language of Instruction

The course is delivered entirely in English, including lectures, assignments, and assessments.

Who Should Enroll?

Course Curriculum

Modules designed to meet current industry standards.

01

Applied Statistics for Data Science

02

Data types, descriptive statistics, measures of central tendency and variability.

03

Probability concepts, distributions, and sampling.

04

Hypothesis testing and confidence intervals.

05

Correlation and regression analysis.

06

Case studies in data-driven decision-making.

What You’ll Learn

Essential Skills & Tools for Leading Projects in the Digital Age

Core Skills

Data summarization, probability, hypothesis testing, correlation, regression, sampling techniques, statistical inference.

Tools & Frameworks You’ll Master

Excel, Python (Pandas, NumPy, SciPy), basic visualization tools.

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Executive Certification in Network Security & Ethical Hacking
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Need to know more?

Get to know the course in depth by downloading the course brochure
Download Brochure
Executive Certification in Network Security & Ethical Hacking
more

Need to know more?

Get to know the course in depth by downloading the course brochure
Download Brochure

Need to know more?

Get to know the course in depth by downloading the course brochure

Download Brochure

What Our Learners Say: Read Real Outcomes, Real Voices

Ankur Tiwari, Alumni | Now AI Engineer at PayTM Labs

“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.”

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Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

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.

40% Salary Hike

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.

25% Salary Hike

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.

25% Salary Hike

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.

30% Salary Hike

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.

40% Salary Hike

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.

25% Salary Hike

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.

25% Salary Hike

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

Roles Offered
  • Data Analyst
  • Business Analyst
  • Research Analyst
  • Quantitative Analyst
Salary Growth Potential

Statistics is a top skill for over 70% of data science job postings (LinkedIn 2024 Report).

Top Salary Bracket
India

₹3.5 – ₹6 LPA for data analysis roles in India.

Top Hiring Companies

Designed for Ambitious Professionals

Roles Offered
  • Data Analyst
  • Business Analyst
  • Research Analyst
  • Quantitative Analyst
Salary Growth Potential

Statistics is a top skill for over 70% of data science job postings (LinkedIn 2024 Report).

Top Salary Bracket
India

₹3.5 – ₹6 LPA for data analysis roles in India.

Top Hiring Companies

You Asked, We Answered

Do I need prior knowledge of statistics?

No, this course starts from the basics.

Will I learn to use statistical tools?

Yes, Excel and Python basics are covered.

Is this course purely theoretical?

No, it’s application-focused with case studies.

What certification will I get?

MSM Grad & NASSCOM-certified Applied Statistics credential.

Who should enroll?

Students, professionals, and business owners wanting to leverage data.

Will I learn regression models?

Yes, simple and multiple regression concepts are covered.

Is this useful for MBA students?

Absolutely, it helps in analytics, finance, and marketing domains.

Are there projects?

While no major project, practical exercises and assignments are included.

Will this help in machine learning?

Yes, statistics is the foundation for all ML models.

Can I get a job after this course?

It builds the essential statistical skillset required for analytics roles.

Ready to Deep Dive into the Future of AI?

Seats are limited.
Join the next cohort of advanced AI professionals.

Download Brochure

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