Talk to us at +91 70425 73911 or Request a Call

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

What You will Learn?

Python & R
Tableau & PowerBI
Data Analysis
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.

Master Latest Technologies

Learn Machine Learning tools to boost efficiency, handle large datasets,
enable analytics, & effective visualization.

Master Latest Technologies

Learn Machine Learning tools to boost efficiency, handle large datasets,
enable analytics, & effective visualization.

Master Latest Technologies

Learn Machine Learning tools to boost efficiency, handle large datasets,
enable analytics, & effective visualization.

Master Latest Technologies

Learn Machine Learning tools to boost efficiency, handle large datasets,
enable analytics, & effective visualization.

Industry Vetted Curriculum

Boost your Data Science Career to Advanced Level with AI and Stay Ahead of the Curve

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


Python Programming – Loops, functions, OOP, NumPy, Pandas.


R Programming Basics – Syntax, data structures, exploratory data analysis.


Statistics & Probability – Hypothesis testing, distributions, confidence intervals.
Visualization Basics – Matplotlib, Seaborn, Tableau, Power BI.

es (DDL, DML, DQL).


Outcomes
Build a strong programming & analytical foundation.
Apply statistics to real-world datasets.
Create visual dashboards & communicate insights effectively.
5 Weeks
Overview
Data is messy. This module ensures you can collect, clean, and preprocess raw datasets into a structured format that is ready for analysis.
What You’ll Learn
Data cleaning (handling missing values, outliers, duplicates).


Feature scaling & encoding categorical variables.


Data transformation & feature engineering.


Exploratory Data Analysis (EDA) – trend detection & anomaly spotting.


Outcomes
Convert raw, unstructured data into high-quality datasets.
Identify hidden patterns and anomalies.
Build data pipelines that improve accuracy of ML models.
6 Weeks
Overview
This is where you start building smart systems. Learn the algorithms that power predictions, recommendations, and automation in top companies.
What You’ll Learn
Supervised Learning – Linear/Logistic Regression, Decision Trees, Random Forest, Gradient Boosting, XGBoost.


Unsupervised Learning – Clustering (K-Means, DBSCAN), Dimensionality Reduction (PCA, LDA).


Model Evaluation – Cross-validation, confusion matrix, ROC-AUC, F1 Score.


Outcomes
Build regression & classification models.
Understand when to use supervised vs unsupervised learning.
Evaluate models to avoid overfitting & underfitting.
7 Weeks
Overview
AI goes beyond traditional ML. In this module, you’ll work with Neural Networks, Computer Vision, and NLP – the technologies behind self-driving cars, chatbots, and recommendation engines.
What You’ll Learn
Neural Networks – Backpropagation, activation functions.


CNNs – Image recognition, object detection.


RNNs & LSTMs – Sequence modeling, sentiment analysis.


NLP – Transformers, BERT, GPT.


Generative AI – GANs & autoencoders.


Learning Outcomes
Build AI models for vision, text & sequential data.
Understand the power of transformers & LLMs.
Gain skills directly applicable to cutting-edge AI roles.
5 Weeks
Overview
Data doesn’t come in one shape. This module equips you with advanced skills to handle sequential data, recommend products, and scale with big data technologies.
What You’ll Learn
Time Series – ARIMA, SARIMA, Prophet.


Recommender Systems – Collaborative filtering, content-based.


Databases & SQL – Joins, CTEs, stored procedures.


Big Data – Spark, SparkSQL, PySpark.

Learning Outcomes
Predict future trends with forecasting models.

Build recommender engines like Netflix/Amazon.
Work with massive datasets efficiently.
5 Weeks
Overview
Overview:
 Models are useless unless deployed. This module makes you industry-ready by teaching how to put ML models into production environments.
What You’ll Learn
Cloud basics – AWS/GCP/Azure.


Docker & containerization.


Flask APIs for ML models.


CI/CD pipelines for ML.


Model monitoring & retraining.


Learning Outcomes
Deploy models as real-world applications.
Automate ML workflows with CI/CD.
Manage models post-deployment for reliability.
6 Weeks
Overview
Bring it all together. Apply your learning to industry projects, specialize in your chosen domain, and prepare for job readiness.
What You’ll Learn
Domain Specialisations – Finance, E-Commerce, Healthcare, HR.


Capstone Projects – End-to-end AI projects.


Career Launchpad – Resume building, mock interviews, recruiter access.


Learning Outcomes
Solve real-world business problems.
Showcase AI projects in your portfolio.
Enter the job market as a confident, industry-ready professional.
Download Curriculum

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.

Get in Touch

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
Get in Touch
Sample Certificate
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.

Frequently Asked Questions

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

Program Overview & Eligibility
Curriculum & Learning Experience
Mentorship & Support
Career Support & Placements
Payments, Policies & Technical Requirements

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?
Transform Your Career Today

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
Start Your Journey
95%

Placement rate

48LPA

Highest CTC

400+

Hiring Partners

100%

Salary Hike

Course Preview

Expert-Led No.1

Investment Banking Course - IIM

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
X

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

Trusted by

Upgrade Your Skills to Achieve Your Dream Job

error text
Thanks! You are being redirected
Oops! Something went wrong while submitting the form.