Secure Positions with the World’s Top Tech & Security Companies

What You will Learn?

Python & R
Data Analysis
Tableau & PowerBI
Machine Learning
Big Data
SQL
Project Management

Why Choose Meritshot?

Upskilling from Meritshot gives you an Unfair Advantage by placing you ahead of the curve.

Small Batches, Better Learning

Learn in a limited batch size for focused preparation & understanding

360° Career Support

From technical skills to salary negotiation — we guide you every step, with 400+ recruiter connections.

Expert Mentors & Instructorship

Get trained by Industry Experts from Top Tech Companies globally tailored to your career goals.

Industry Vetted Curriculum

Targeted training for Data Analysis, Statistics, and AI models at the standards expected by top tech giants.

TRANSFORMATIONS

Working professionals from tech and non-tech backgrounds are transitioning into Data Science, Data Analytics, and AI-driven roles with the right skills, projects, and guidance.

Amit V.
IT /Support
DATA ANALYST

I was stuck in a support role with no growth.
The projects and interview prep helped me
 understand what Data Analyst roles actually
demand.

Pooja S.
NON-TECH
BUSINESS ANALYST

“I had zero coding background.
The structured learning and mentor support made Data Science approachable and
practical.”

Rakesh N.
WORKING PROFESSIONAL
AI-READY ROLE

“I already worked with data, but AI felt out of reach.
This program helped me upgrade my skills and confidence at work.”

Amit V.
IT /Support
DATA ANALYST

I was stuck in a support role with no growth.
The projects and interview prep helped me
 understand what Data Analyst roles actually
demand.

Pooja S.
NON-TECH
BUSINESS ANALYST

“I had zero coding background.
The structured learning and mentor support made Data Science approachable and
practical.”

Rakesh N.
WORKING PROFESSIONAL
AI-READY ROLE

“I already worked with data, but AI felt out of reach.
This program helped me upgrade my skills and confidence at
work.”

Why This Data Science with AI Program Stands Out

Most Data Science courses still teach models and math from 2015. Companies don’t hire for that anymore. They hire for people who understand how modern AI actually works inside organizations. This program was built with that reality in mind — by industry data scientists who currently work with GenAI systems, automation pipelines, and production-grade ML. Below is the exact breakdown of what sets this program apart and why it consistently works for working professionals and career switchers.

Every module has been designed around how professionals actually learn:
Short, application-focused lessons
Weekly checkpoints so you never fall behind
Tools and workflows you can apply the same week
Nothing academic. Nothing bloated.Just the skills required to transition into Data Science and AI roles without quitting your job.
Built around how AI is used in companies today:
Automation-first thinking, not academic models
Hands-on work with modern AI and GenAI tools
Focus on pipelines, workflows, and outcomes
No outdated math-heavy theory. Only market-relevant skills.
Designed with people who actually interview candidates:
Skills mapped directly to hiring expectations
Projects that reflect real business problems
Tools aligned with industry stacks
No guesswork. No filler. Just what recruiters look for.
Your proof of skill, not just a certificate:
8 real-world, role-aligned projects
One end-to-end AI capstone
Clear business problem → solution storytelling
Built to survive resume screening and interviews.
Learning happens through feedback, not videos alone:
Live, instructor-led sessions
Direct access to mentors for guidance
Real-time doubt resolution
No passive watching. Active learning that sticks.
Focused on outcomes, not just completion:
Resume and portfolio positioning
Interview preparation based on real patterns
Role-specific guidance for Data & AI jobs
Support that continues until you’re job-ready.
Starts from fundamentals and builds up confidently:
Step-by-step progression for non-tech learners
Concepts explained before tools are introduced
Hands-on practice from day one
No intimidation. No assumed knowledge.
What you leave with actually matters:
Ability to solve real data problems end-to-end
Confidence to explain your work in interviews
Practical skills you can use from day one
No vanity certificates. Only employable capability.

Module 01 : Foundations of Data Science (6 Weeks)

Overview

Every great Data Scientist needs strong foundations. This module builds your base in programming, statistics, and visualization, ensuring you’re equipped to think analytically and handle data from day one.

What You’ll Learn
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.

Module 01 : Foundations of Data Science (6 Weeks)

Overview

Every great Data Scientist needs strong foundations. This module builds your base in programming, statistics, and visualization, ensuring you’re equipped to think analytically and handle data from day one.

What You’ll Learn
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.

Module 01 : Foundations of Data Science (6 Weeks)

Overview

Every great Data Scientist needs strong foundations. This module builds your base in programming, statistics, and visualization, ensuring you’re equipped to think analytically and handle data from day one.

What You’ll Learn
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.

Industry Vetted Curriculum

Upskilling from Merithshot gives you an Unfair Advantage by placing you ahead of the curve.

Module 01 : Foundations of Data Science (6 Weeks)
Module 02 : Data Wrangling & Analysis (5 Weeks)
Module 03 : Machine Learning & Predictive Modeling (6 Weeks)
Module 04 : AI Applications – Deep Learning & NLP (7 Weeks)
Module 05 : Advanced Systems – Time Series, Recommenders & Big Data (5 Weeks)
Module 06 : MLOps & Deployment (6 Weeks)
Module 07 : Certification Prep & Career Launchpad (6 Weeks)
Module 01 : Foundations of Data Science (6 Weeks)
Module 02 : Data Wrangling & Analysis (5 Weeks)
Module 03 : Machine Learning & Predictive Modeling (6 Weeks)
Module 04 : AI Applications – Deep Learning & NLP (7 Weeks)
Module 05 : Advanced Systems – Time Series, Recommenders & Big Data (5 Weeks)
Module 06 : MLOps & Deployment (6 Weeks)
Module 07 : Certification Prep & Career Launchpad (6 Weeks)

Meritshot Alumni
Success Stories

Join hundreds of professionals who've transformed their careers with Meritshot.

Mayank Srivastava
6+  yrs exp.
AI Engineer
+90% Hike

After 6+ years in sales at IndianOil, Mayank transitioned into data and AI with Meritshot. With expert mentorship, he converted his sales experience into strong data narratives, built real-world machine learning projects, and prepared for competitive AI interviews—successfully moving into a full-time data role.

Harshita Shah
3.5  yrs exp.
Cybersecurity Analyst
+75% Hike

With hands-on experience in security monitoring, this professional refined their expertise at Meritshot to step into a high-impact cybersecurity role. Through focused guidance on threat detection and incident response, they now help monitor critical infrastructure and improve threat visibility across teams at HCL.

Mohit Singh
6  yrs exp.
Cybersecurity Consultant
+110% Hike

Seeking a shift from technical execution to strategic advisory, this professional leveraged Meritshot’s structured guidance to position expertise in risk assessment, compliance, and cloud security. Now at PwC, they help organizations strengthen security posture and meet regulatory requirements.

Aakriti Jain
5.5  yrs exp.
Risk & Compliance Analyst
+85% Hike

Looking to move into a strategic compliance role, this professional gained deep expertise in governance frameworks through Meritshot. Today, they specialize in risk assessment and standards like ISO and GDPR, helping organizations build long-term resilience against cyber risks.

Aryan Singh
3  yrs exp.
Cybersecurity Engineer
+80% Hike

Aiming to work on large-scale security operations, this professional strengthened skills in network security and vulnerability management with Meritshot. Now a Cybersecurity Engineer at TCS, they implement robust security measures and help enhance organizational defense systems.

Aaditya Malhotra
3  yrs exp.
Software Developer
+120% Hike

With Meritshot’s structured roadmap, this professional transitioned from mechanical engineering to software development by building strong programming and backend skills. Now a Software Developer at Jupiter, they achieved a 120% career hike and a role they’re excited about.

Build Capstone Projects
with Real-world Data

Testify your Data Science skills by building high end AI Models & real time projects

Domain Specialization Projects

Banking, Finance & Insurance

Churn Prediction Model - Identify customers likely to leave a bank using ML.
Fraud Detection System - Build anomaly detection for financial transactions.
Risk-Reward Analysis - Apply statistical models to analyze investment portfolios.
Stock Market Prediction - Time-series forecasting for stock price movement.

E-commerce & Marketing

Customer Lifetime Value Analysis - Segment customers & predict high-value ones.
Ad Campaign Effectiveness - Analyze digital ads performance & ROI.
Recommendation Engine - Build ML-based recommendation systems for products.
Dynamic Pricing Model - Implement demand-based pricing strategies.

Healthcare & Pharma

Patient Risk Prediction - Predict likelihood of chronic diseases (e.g., diabetes).
Medical Image Classification - Classify X-rays & MRIs using CNN.
Pharma Sales Forecasting - Demand forecasting for drug distribution.
Provider Analytics - Analyze hospital resource utilization.

Human Resources & Operations

Attrition Analysis - Predict employee churn using HR datasets.
Promotion Prediction Model - ML model to forecast promotion eligibility.
Workforce Productivity Analysis - Track employee efficiency via data analytics.
Resource Optimization - Optimize staffing needs using predictive analytics.

Capstone & Mini Projects

End-to-End ML Pipeline Deployment - Deploy ML models on AWS with Flask/Django APIs & MLOps monitoring.
Market Basket Analysis for E-commerce  - Use Apriori/FP-Growth to recommend cross-selling strategies.
Market Basket Analysis for E-commerce  - Apply hyperparameter tuning & ensembles to maximize accuracy on real datasets.

Industry Case Studies

Climate & Food Supply Chain - Predict food security risks with ML.
Keyword Analysis for Google Ads  - Optimize ad performance using NLP.
Quora Insincere Question Detection - NLP for harmful content moderation.
Cab Trip Duration Prediction - Improve ridesharing logistics with ML.
Dynamic Product Pricing - Predict optimal pricing for online sellers.
Demand Forecasting for E-commerce  - Optimize inventory & supply chains.
Customer Recommendation System - Personalized product suggestions.
Traffic Sign Recognition (CNN) - Enhance autonomous driving with CV.

Mini Projects

Sentiment Analysis of Tweets (NLP)
Credit Scoring Model for Banks
Netflix-style Movie Recommendation System
Spam & Phishing Email Classifier

Libraries & Tools Covered

Gain hands-on expertise with 40+ industry-standard tools, programming languages, and frameworks used by top Data Science & AI professionals worldwide.

Our Expert Mentors

With Highly Experienced Instructors & Mentors you are in SAFE Hands

Chintada Abhilash

Data Science leader

Data Science leader with 7+ years of experience in AI & ML, driving impactful solutions from predictive analytics to automation. Skilled in building scalable models and advanced algorithms, he has led teams to deliver data-driven business outcomes. Abhilash is passionate about turning data into actionable insights and mentoring the next generation of innovators.

 Heena Arora

Data Scientist

Data Scientist at PwC with 3+ years of experience in predictive modeling, advanced analytics, and large-scale data solutions. Previously at Amazon, she gained expertise in machine learning and process optimization. Heena specializes in transforming raw data into business insights that drive strategic impact.

Saurabh Daund

AI & Data Science professional

AI & Data Science professional with 5+ years of expertise in NLP, Generative AI, LLMs, and intelligent system design. He has built scalable, AI-driven products that enhance business performance and user experience. Saurabh blends technical depth with practical problem-solving to deliver innovative AI solutions.

Saadh Khan

AI Engineer

With 8+ years in AI & ML, Saadh has led end-to-end projects across industries, from predictive modeling to scalable AI deployment. He brings expertise in advanced analytics and data-informed decision-making. Passionate about innovation, he creates AI solutions that deliver measurable business growth.

Chalsee Choudhary

Data Scientist

Software Developer at PwC with 5 years of experience in building efficient, user-focused applications. Formerly a Data Scientist at Accenture, she combined analytics and ML to solve complex business challenges. Chalsee now integrates her development and data expertise to create impactful technology solutions.

Chintada Abhilash

Data Science leader

Data Science leader with 7+ years of experience in AI & ML, driving impactful solutions from predictive analytics to automation. Skilled in building scalable models and advanced algorithms, he has led teams to deliver data-driven business outcomes. Abhilash is passionate about turning data into actionable insights and mentoring the next generation of innovators.

 Heena Arora

Data Scientist

Data Scientist at PwC with 3+ years of experience in predictive modeling, advanced analytics, and large-scale data solutions. Previously at Amazon, she gained expertise in machine learning and process optimization. Heena specializes in transforming raw data into business insights that drive strategic impact.

Saadh Khan

AI Engineer

With 8+ years in AI & ML, Saadh has led end-to-end projects across industries, from predictive modeling to scalable AI deployment. He brings expertise in advanced analytics and data-informed decision-making. Passionate about innovation, he creates AI solutions that deliver measurable business growth.

Saurabh Daund

AI & Data Science professional

AI & Data Science professional with 5+ years of expertise in NLP, Generative AI, LLMs, and intelligent system design. He has built scalable, AI-driven products that enhance business performance and user experience. Saurabh blends technical depth with practical problem-solving to deliver innovative AI solutions.

Chalsee Choudhary

Data Scientist

Software Developer at PwC with 5 years of experience in building efficient, user-focused applications. Formerly a Data Scientist at Accenture, she combined analytics and ML to solve complex business challenges. Chalsee now integrates her development and data expertise to create impactful technology solutions.

Microsoft Accredited
Certificates

Earn globally recognized certificates that validate your skills and boosts your career prospects

Globally Recognized Credentials

Get certificates backed by Microsoft, trusted by recruiters at top product companies worldwide.

Built for Career Impact

Each certificate validates real world projects & mentor endorsements- not just theory

Seamless Digital Verification

Your achievements are instantly verifiable by employers with global acceptance.

Certificate Includes
Microsoft Partnership Seal
Digital Verification
Skills Assessment Score
Project Portfolio
Mentor Endorsement
Lifetime Validity
5000+

Certificates Issued

100%

Employer Recognition

Global

Acceptance

Your Career Growth
Roadmap

A proven 4-step path to take you from upskilling to your dream job

Profile Power-Up

Stand out with a sharp resume, optimized LinkedIn/GitHub, and a strong personal brand.

⁠Interview Readiness

Ace every round with 1:1 mock interviews, role-specific training, and actionable feedback.

Hiring Rounds

Apply to 200+ hiring partners and clear technical interview rounds.

Offer Unlocked!

Land a High Paying Job Offer from Top Product Based Companies.

Ready to Level Up Your Career?

Join professionals who’ve launched their careers with Meritshot. Gain job-ready skills and step into high-demand roles today!

Flexible Learning

Learn at your own pace while balancing work or studies.

Expert Mentors

Train directly with industry-certified cybersecurity professionals.

Certified Program

Microsoft-accredited program with Security+ & CEH prep included.

100% Placement

Access 400+ hiring partners, job fairs & alumni referrals.

Program Outcomes
Build expertise across SOC, Red Team, Cloud & DevSecOps
Complete 4 real-world portfolio projects + 1 capstone
20% scholarship for early birds
Alumni network access
95%

Placement rate

48LPA

Highest CTC

400+

Hiring Partners

100%

Salary Hike

Assignments That
Replace Guesswork With Real Skills

7 industry-demanded assignments that reflect how data scientists actually work inside companies today.

Basic Assignments

Real-World Data Cleaning & Exploratory
Analysis

Industry relevance: Mandatory for every data role
You will:
Visualize insights using Matplotlib & Seaborn
Perform Exploratory Data Analysis (EDA)
Handle missing values, outliers, and inconsistencies
Clean and preprocess data using Python, Pandas, and NumPy

Outcome: Strong foundation in Python for Data Science and analytical thinking.

SQL + Python KPI Analysis for Business
Decisions

Industry relevance: One of the most underrated but tested skills
You will:
Perform joins, aggregations, and KPI calculations
Combine SQL outputs with Python analysis
Translate data into business-ready insights
Extract data using advanced SQL queries

Outcome: Ability to work with production data and support real decision-making.

Intermediate Assignments

Customer Churn Prediction Using Machine
Learning

Industry relevance: Used across SaaS, telecom, fintech, and subscription businesses
You will:
Translate data into business-ready insights
Extract data using advanced SQL queries
Perform joins, aggregations, and KPI calculations
Combine SQL outputs with Python analysis

Outcome: Strong foundation in Python for Data Science and analytical thinking.

Time Series Forecasting for Sales &
Demand

Industry relevance: Critical for forecasting revenue, inventory, and
growth
You will:
Convert forecasts into actionable insights
Validate predictions against historical data
Build forecasting models
Analyze trends and seasonality

Outcome: Practical exposure to time series analysis and forecasting, a high-demand skill.

Advanced Assignments

AI-Powered Recommendation System

Industry relevance: Core to companies like Amazon, Netflix, Flipkart, and Spotify
You will:
Handle cold-start challenges
Optimize recommendations for relevance and performance
Work with real user behavior data
Build content-based and collaborative filtering systems

Outcome: Experience with AI systems that directly drive engagement and revenue.

Fraud & Anomaly Detection Using Machine Learning

Industry relevance: Massive demand in fintech, banking, and cybersecurity
You will:
Interpret risk signals from a business perspective
Reduce false positives
Work with highly imbalanced data
Detect unusual patterns and anomalies in large datasets

Outcome: Exposure to high-impact ML applications used in risk and security teams.

End-to-End AI-Driven Business Capstone Project

Industry relevance: What recruiters actually want to see
You will:
Present insights and recommendations like a data scientist
Build ML/AI models
Perform data collection and preprocessing
Frame a real business problem

Outcome: Strong foundation in Python for Data Science and analytical thinking.

Lab Sessions Where
Data Science & AI
Finally Click

Most people watch Data Science. Very few can use it.

That’s why this Data Science with AI program includes structured, hands-on lab sessions designed to turn abstract concepts into working skill.
No passive demos.
 No prerecorded walkthroughs.
 These lab sessions exist to make sure you can apply Machine Learning, AI, and Data Science confidently in real-world scenarios.

What Actually Happens Inside the Lab Sessions
Hands-On Labs Across the Full Data Science & AI Stack
Machine Learning Labs
AI & Advanced Use-Case Labs
Learn by Doing. Understand by Building.
Why These Lab Sessions Matter More Than Lectures
The Outcome of Consistent Lab Practice

Expert-Led Guest Sessions

Most courses teach what should work.
These guest lectures show what actually works in production — and what breaks.

What Makes These Different
Typical Guest Sessions
Our Guest Sessions

What You’ll Actually Learn From Industry Experts

Most courses teach what should work.
 These guest lectures show what actually works in production — and what breaks.

How Data Science & AI Run in Production
  • What happens after the model is built
  • Why “good accuracy” is often not good enough
  • How teams handle data quality, bias, and scale
Real Tooling, Real Constraints
  • Tools and workflows used by real data teams
  • Why certain techniques are avoided in production
  • How AI decisions are aligned with business goals
Hiring & Career
Signals (Unfiltered)
  • What separates strong candidates from average ones
  • Common mistakes candidates make in interviews
  • How interview questions map to real work

Interactive by Design — Not a
One-Way Talk

These guest lectures are discussion-led, not broadcast-style.

Interactive by Design — Not a
One-Way Talk.
Expect:
  • Tools and workflows used by real data teams
  • Why certain techniques are avoided in production
  • How AI decisions are aligned with business goals
If something doesn’t make sense, it’s questioned — live.
Multiple Roles. Multiple
Industries. One Reality Check.
You’ll hear from professionals across:
  • Product companies and startups
  • Fintech, SaaS, e-commerce, analytics teams
  • Data Science, ML, AI, and analytics roles
This gives you range — so you don’t prepare for one narrow version of the job.
The Real Outcome
After these guest lectures, learners stop asking:
        “Is this important?”
They start asking:
         “How would this hold up in a real system?”
That shift in thinking is what moves people from
learners to practitioners.
Why This Is a Big Deal
(Blunt Truth)
Most people entering Data Science:
  • Have never seen production reality
  • Don’t understand trade-offs
  • Overestimate what matters
These guest lectures correct that before it costs you interviews or years.

You’re Not Left to Figure It Out

Most programs dump content and disappear.
 We do the opposite.

1. Structured Onboarding (No Guesswork)

You’re not thrown into videos blindly.
  • Clear learning roadmap from Day 1
  • Defined weekly outcomes (what you should actually be able to do)
  • Tool setup + environment walkthrough
  • Expectations set upfront — no surprises later
You know what to do, why you’re doing it, and how it connects to real roles.

2. Active Mentor & Instructor Support

This isn’t “watch and hope.”
  • Dedicated mentors for doubt resolution
  • Concept clarification during and after lab sessions
  • Guidance on how to approach problems, not just answers
  • Help when you’re stuck — technically or mentally
If you hit a wall, you don’t wait weeks. You get unstuck.

3. Assignment & Project Guidance (Not Hand-Holding)

We won’t spoon-feed. We won’t abandon you either.
  • Clear problem understanding sessions
  • Feedback on approach, logic, and assumptions
  • Help identifying mistakes before they become habits
  • Review focused on industry expectations, not academic perfection
You learn how professionals think — not how students submit.

4. Career & Interview Assistance (Reality-Based)

We don’t sell fake placement promises.
  • Resume and project positioning support
  • Interview mindset and expectation setting
  • Guidance on how to explain decisions, trade-offs, and failures
  • Clarity on what actually matters for Data Science & AI roles
You stop preparing answers.
 You start preparing thinking.

5. Continuous Check-Ins & Accountability

Most people quit silently. We don’t let that happen.
  • Dedicated mentors for doubt resolution
  • Concept clarification during and after lab sessions
  • Guidance on how to approach problems, not just answers
  • Help when you’re stuck — technically or mentally
If you hit a wall, you don’t wait weeks. You get unstuck.
The Real Difference
Other programs ask:
“Did you watch the content?”
We Ask:
“Can you explain this decision in
a real system?”
That’s the standard we support you toward — consistently.

Frequently Asked Questions

Have questions? We’ve got answers to help you get the most out of your learning journey.

Program Overview
Curriculum
Mentorship
Career Support
Payments & Policies

Frequently Asked Questions

Have questions? We’ve got answers to help you get the most out of your learning journey.

Program Overview & Eligibility

What is the Meritshot Data Science Program?
Who is eligible to join this program?
Is this program suitable for beginners?
How is this program different from other courses?
What career paths can this program lead to?

Curriculum & Learning Experience

What topics are covered in the curriculum?
How are classes conducted?
Will I get practical training?
How long does the program take to complete?
What tools and software will I learn?

Mentorship & Support

Will I get a dedicated mentor?
How can I clear doubts?
What happens if I miss a live class?
Is there guidance for building my portfolio?
Will I get career counseling?

Career Support & Placements

Does Meritshot assist with job placements?
What companies hire data science graduates?
What does the job preparation phase include?
How soon can I expect to get a job?
Will I receive help even after completing the course?

Payments, Policies & Technical Requirements

What is the fee structure for the program?
Can I pay the fees in installments?
What is the refund policy?
What are the system requirements for the course?
 Do I get access to course materials after completion?
Testimonials

Rohit S.

“I already knew basic programming, but I didn’t know how companies actually use data.
The projects, datasets, and interview preparation helped me bridge that gap.
This wasn’t about just learning tools — it was about learning how to think with data.”

Ananya M.

“I was worried about whether a non-technical background would hold me back.
The step-by-step structure, regular assignments, and mentor guidance made the transition realistic.
The focus on problem-solving instead of theory really helped.”

Vivek N.

“I joined to upskill, not switch.
The advanced modules and AI use cases helped me apply Data Science more confidently in my current role.
I now contribute to more meaningful, data-driven decisions at work.”

Neha G.

“The resume feedback and mock interviews were surprisingly practical. I finally understood how recruiters evaluate Data Science profiles. That clarity alone was worth the effort.”
You’re not enrolling in content.
You’re enrolling in structured support
designed to get results.

Join thousands of professionals who have transformed their careers and landed in world-class product companies.

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