Data Science Essentials – From Data Wrangling to Insight Generation

A complete beginner-friendly to intermediate course in data science, covering everything from data wrangling, cleaning, and visualization to generating actionable insights. Designed for those aspiring to enter the fast-growing field of data science.

Cohort Info

Key Highlights

Course Highlights

About Program

Course Curriculum

Modules designed to meet current industry standards.

01

Data Science Foundations

Data types, structures, and sources.
Data cleaning, preprocessing, and quality checks.

02

Data Analysis & Visualization

Exploratory Data Analysis (EDA) with Python.
Visualization using Matplotlib & Seaborn.
Final Project: Insight generation from a real dataset.

What You’ll Learn

Essential Skills & Tools for Leading Projects in the Digital Age

Need to know more?

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

Need to know more?

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

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

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Real People. Real Results

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

30% Salary Hike

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

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

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

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

40% Salary Hike

25% Salary Hike

Designed for Ambitious Professionals

Roles Offered

Salary Growth Potential

Data science roles are projected to grow 36% globally by 2031 (U.S. Bureau of Labor Statistics).

Top Salary Bracket

Top Hiring Companies

Designed for Ambitious Professionals

Roles Offered

Salary Growth Potential

Data science roles are projected to grow 36% globally by 2031 (U.S. Bureau of Labor Statistics).

Areas of Study

Areas of Study