Data Science Program with AI Specialisation

Master the skill of data-driven intelligence with Meritshot’s 360° Career Assistance & AI focused curriculum for Job Switch

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95%

Placement rate

99LPA

Highest CTC

400+

Hiring Partners

150%

Salary Hike

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

Artificial Intelligence

Why Choose Meritshot?

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

AI-First Curriculum

Specially designed curriculum keeping AI in focus to boost efficiency, and inculcate deep subject understanding.

Real-World Interview

On demand Mock interviews with actual tech company hiring managers to prepare you for the toughest questions.

Industry Vetted Curriculum

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

Expert Mentors & Instructorship

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

360° Career Support

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

Small Batches, Better Learning

Learn in a limited batch size for focused preparation & understanding

What Learners Say About Us?

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

From mechanical engineering to machine learning, Meritshot gave me the structured pathway I needed. I mastered Python, stats, and ML through real-world projects like predictive maintenance and retail segmentation. Mentorship and mock interviews built my confidence. Today, at Tata Digital, I optimize customer engagement using ML — with an 85% salary jump.

Raghav Mehta

4 yrs exp. | Mechanical Engineer → Data Scientist, Tata Digital

From operations to data science, Meritshot made analytics accessible. I learned SQL, Python, ML, and A/B testing, and built a delivery-time prediction model that became my Swiggy interview highlight. Now, I optimize last-mile delivery with ML. Just a year ago, I couldn’t even write a loop — today, I drive impact at scale.

Sneha Iyer

3 yrs exp. | Business Operations → Data Scientist, Swiggy

I moved from IT troubleshooting to data strategy with Meritshot’s structured program. Weekly coding sprints, mentorship, and resume support gave me the push I needed. My recommendation system project became my portfolio centerpiece. Now, at Flipkart, I build data-driven solutions and earn double my earlier salary.

Kunal Bhasin

5 yrs exp. | IT Support → Data Scientist, Flipkart

Even with an MBA, I felt dependent on analytics teams. Meritshot gave me Python, regression, and storytelling skills to own the data. My LTV prediction project landed me at Nykaa, where I now build models for retention and present insights directly to leadership. From support to strategy — that’s my journey.

Ananya Ghosh

3 yrs exp. | MBA (Marketing) → Data Scientist, Nykaa

Meritshot turned my analytical mindset into a career in data. From SQL to model tuning, I learned hands-on through case studies like telecom churn analysis. Mentors helped me reframe my background as a strength. Today, I work at IBM on energy efficiency modeling, bridging my chemical and data worlds.

Devang Patel

2 yrs exp. | Chemical Engineer → Data Analyst, IBM

From teaching to tech, Meritshot made the impossible possible. I learned Python, stats, and ML step by step with patient mentorship. My student performance prediction project helped me land BYJU’S, where I now use analytics to improve learning outcomes. It’s a surreal but empowering transformation.

Priya Nair

4 yrs exp. | Teacher → Data Scientist, BYJU’S

As a consultant, I had business knowledge but lacked technical depth. Meritshot bridged that gap with SQL, ensemble models, and forecasting. My FMCG demand prediction project boosted my confidence and portfolio. Now at Infosys, I drive global consulting projects with real data science expertise.

Abhishek Jain

6 yrs exp. | Business Consultant → Data Scientist, Infosys

From design to data, Meritshot taught me how to think analytically. I learned Python, ML, and dashboarding, blending my creative skills with analytics. My fashion image classification project clicked with Meesho, landing me a role as a data scientist. Today, I combine design + ML to improve product tagging and search.

Reema Sharma

2 yrs exp. | Graphic Designer → Data Scientist, Meesho

Industry Vetted Curriculum

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

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.

Dowload 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

Sentiment Analysis of Tweets- Extract insights from social media using NLP.

Credit Scoring & Fraud Detection Models - Predict loan risks and detect anomalies in transactions.

Movie & Product Recommendation Systems - Netflix-style personalization with ML.

Spam & Phishing Classifier - Secure email systems with real-time detection.

Market Basket Analysis - Analyze buying patterns to drive cross-selling strategies.

End-to-End ML Deployment & Optimization - Deploy production-ready ML pipelines with MLOps, tuning, and monitoring.

Industry Case Studies

Climate & Food Supply Chain Risk Prediction

Keyword Analysis for Google Ads (NLP)

Quora Insincere Questions Classification (NLP moderation)

Cab Trip Duration Prediction (Logistics)

E-commerce Demand Forecasting & Pricing

Customer Recommendation Systems

Traffic Sign Recognition (CNN for self-driving)

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

Investment Banking

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

Heena Arora

Data Scientist

Saurabh Daund

AI & Data Science professional

Saadh Khan

Investment Banking

Chalsee Choudhary

Data Scientist

Get Industry-Recognized Certification

Earn dual credentials: Microsoft-accredited certificate and a Meritshot program completion certificate which is globally recognized, employer-trusted, and shareable on LinkedIn