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
- Program Duration: 3 Months
- Next Cohort Launch: 1st & 15th of Every Month
- Application Deadline: 3 days before batch start date
Key Highlights
- Mode of Learning: Hybrid (Online ILT + Optional In-person Labs)
- Language of Instruction: English
- Mapped to NASSCOM SSC/Q8101 NOS standards for Data Scientists.
- Learn essential data science workflows using real-world datasets.
- Gain expertise in data wrangling, cleaning, visualization, and reporting.
- Hands-on project: Apply skills to generate insights from raw data.
- Designed for students and working professionals starting their data science journey.
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
The program runs over a 3-month period, with a total of 48 learning hours. This includes 36 hours of instructor-led training (ILT) along with self-paced assignments for independent learning.
Program Structure
The curriculum is organized into 2 modules:
Core – covering essential concepts and frameworks.
Applied Project – enabling learners to apply knowledge in real-world scenarios.
Mode of Delivery
Conducted in a Hybrid format, combining Online ILT sessions with Optional In-person Labs for enhanced hands-on experience.
All lectures, labs, and assignments are delivered in English.
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
Data cleaning, exploratory data analysis (EDA), visualization, statistical interpretation, and report generation.
Python, Pandas, NumPy, Matplotlib, Seaborn, Excel/Google Sheets, Jupyter Notebook.
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.
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Designed for Ambitious Professionals
- Junior Data Scientist
- Data Analyst
- Reporting Analyst
- Research Associate
Data science roles are projected to grow 36% globally by 2031 (U.S. Bureau of Labor Statistics).
₹4 – ₹8 LPA for entry-level roles in India
Designed for Ambitious Professionals
- Junior Data Scientist
- Data Analyst
- Reporting Analyst
- Research Associate
Data science roles are projected to grow 36% globally by 2031 (U.S. Bureau of Labor Statistics).
₹4 – ₹8 LPA for entry-level roles in India
You Asked, We Answered
Basic computer skills are enough; Python will be taught from scratch.
Absolutely, it is designed for beginners from any field.
Yes, over 60% of the course involves practical exercises and projects.
Yes, you will receive an industry-recognized MSM Grad & NASSCOM certificate.
Structured learning, industry-standard tools, and mentor feedback make it unique.
You’ll work on a real dataset to generate actionable insights and present findings.
Yes, live classes are scheduled flexibly, and recordings are available.
Yes, Excel basics for quick analysis are covered along with Python.
Resume reviews, interview prep, and job referrals via our partner network.
Entry-level data analysts typically earn ₹4–₹8 LPA, depending on skills and location.
