★★★★★ 4.8 / 5  ·  900+ reviews

Data Science
with Machine Learning

Go from zero to Data Scientist in 8 months. Build ML models, write Python, and land roles paying ₹8–20 LPA — with placement support every step of the way.

⏱ 8 Months 🖥 Online & Offline 🎓 Certificate Included 💼 100% Placement Assistance
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Data Science with Machine Learning Course
Why The XL Academy

What Makes This Program Different

4,600+ learners have chosen The XL Academy over online platforms. Here's why.

🎯

Industry-Aligned Curriculum

Regularly updated with the latest tools, technologies, market demands and industry hiring requirements.

🛠️

Hands-On Learning from Day One

Learn by doing with live projects, real datasets, and practical assignments & become Master in industry tools through practical training.

👨‍🏫

Industry Expert Trainers

Get trained by experienced professionals with 10+ years of industry expertise, who bring real-world insights, practical knowledge, and interview-focused guidance to every session.

💼

100% Placement Support

Get job-ready with Resume Building, LinkedIn Optimization, Mock Interviews, Career Mentoring & Placement Assistance.

Where You'll Land

Roles & Salaries After This Program

Data Science is India's highest-growth tech career. Our graduates are placed at startups, MNCs, and consulting firms across India.

🤖 Data Scientist
₹8 – 20 LPA
Flipkart, Amazon, Google, Microsoft, Razorpay, CRED
⚙️ ML Engineer
₹10 – 20 LPA
Ola, Swiggy, Zomato, PhonePe, Meesho, InMobi
🧠 AI Engineer
₹10 – 18 LPA
TCS, Wipro, Infosys AI Labs, HCL, Tech Mahindra
📝 NLP Engineer
₹8 – 16 LPA
Freshworks, Zoho, Sarvam AI, Krutrim, Amdocs
🔍 Research Analyst
₹6 – 12 LPA
KPMG, EY, Deloitte, BCG, McKinsey Analytics
📊 Senior Data Analyst
₹7 – 14 LPA
Accenture, Cognizant, Genpact, Mphasis, Mu Sigma
Detailed Curriculum

Data Science Course Syllabus

Comprehensive 8-Month Training — Day-by-Day & Module-by-Module Breakdown

Advance Excel
▼
  • Day 1Excel Components (Tabs, Ribbons, Workbook, Sheet, Row, Columns, Cells), Cell Address, Data Entry, Selections & Data Formatting
  • Day 2Using 'Go To' (Blanks, Comments, Formulas), Copy/PasteSpecial, Data Sorting & Filtering, Data Validations, Remove Duplicates, Text To Columns, Find & Replace
  • Day 3Subtotals, Group & Ungroup, Data Protection (Cells, Sheet, Workbook), Conditional Formatting, What-If Analysis (Goal Seek, Tables & Scenario Manager)
  • Day 4Excel Operations, Formulas & Basic Functions (Sum, Count, Average, Left, Right, Mid, Len, Find, Search, Replace, Today, Now), Error Checking & Formula Evaluation
  • Day 5Excel Charts, Chart Modifications & Advanced Charting Techniques
  • Day 6If & Nested If Functions with AND/OR, Logical Functions, Text Functions, Date & Time Functions
  • Day 7Lookup & Reference Functions: VLOOKUP, XLOOKUP, MATCH, INDEX, ADDRESS, INDIRECT & combinations
  • Day 8Mathematical Functions & Database Functions
  • Day 9Understanding Pivot Tables, Pivot Charts, Formatting, Custom Formulas in Pivot Tables & Slicers
  • Day 10Power Pivot Fundamentals: Data Relationships, Visualizing Power Pivot Data, Power Pivot Reports, DAX Calculations, KPIs & Date/Time Functions
  • ProjectsBuilding Real-world Executive Trend & Product Performance Dashboards
Python + Statistics + Pyspark
▼
  • Day 1-3Python Overview, Installation (Anaconda, Colab), IDEs, Objects, Data Types, Mutability, Operators, Magic Commands (%Run, %Load), Strings, Formatting & Indexing
  • Day 4-6Lists, Tuples, Dictionaries, Sets, Control Flow (If-Else), Loops (For, While, Break, Continue, Nested Loops), List & Tuple Comprehensions
  • Day 7-9Dictionary & String Methods, Regular Expressions (Regex), Functions, Lambda, Map, Filter, Reduce, Zip, Accumulate, Decorators, Modules & Generators
  • Day 10-11Statistics for Data Science: Population vs Sample, Sampling Techniques, Central Tendency, Dispersion, Normalization vs Standardization (Z-Score), Probability & Math/NumPy Practical
  • Day 12-14OOPs Concepts (Class, Objects, Init, Inheritance, Polymorphism, Encapsulation), File Handling (Modes, Reading/Writing with 'with'), Exception Handling, Logging & SQL Server Connection
  • Day 15-17Data Analytics Libraries: NumPy Multi-dimensional Arrays, Pandas DataFrames, Data Cleaning & Visualizations (Matplotlib, Seaborn, Plotly)
  • Day 18-20Python Analytics Project Discussion, Big Data Architecture, Apache Spark, PySpark Queries, Git & GitHub Version Control & APIs
SQL Server
▼
  • Unit 1-2SQL Overview & RDBMS Concepts, T-SQL Foundation Statements, SELECT, INSERT, SQL Commands (DDL, DML, DCL, DQL), Data Types, Create, Alter, Drop, Delete, Update
  • Unit 3-4SQL Operators (Arithmetic, Comparison, Logical), Database Normalization (1NF, 2NF, 3NF), JOINS (INNER, LEFT, RIGHT, FULL, SELF, CARTESIAN) & SQL Constraints
  • Unit 5-6SQL Clauses (WHERE, ORDER BY, GROUP BY, HAVING, TOP, LIKE, UNION), Sub-Queries (Nested, Correlated, EXISTS Operator), System Functions (AVG, COUNT, MAX, MIN, SUM, SQRT, CONCAT, SUBSTRING, DATEDIFF, FORMAT)
  • Unit 7-8User Defined Functions (Scalar & Table-valued UDFs), Database Indexes (CREATE INDEX), Views, Stored Procedures, Transactions (Commit, Rollback, Savepoint), Identity Sequences & Triggers
Power BI
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  • Class 1-3Introduction to Power BI, Cloud Architecture, Data Source Library, Report Designer, Visuals, Fields, Auto Filters, GET DATA, Direct Query & Real-Time Data Access
  • Class 4-5Chart & Map Reports (Stacked/Clustered Bar/Column, Waterfall, Scatter, Pie, Maps), Hierarchies & Drilldown Reports, Drill-thru Options, Parameters
  • Class 6-7Power Query & M Language (Part 1 & 2): Query Editor, Data Transformations, Merge Join, Anti-Join, Union, Custom Columns & Applied Steps
  • Class 8-9DAX Expressions Level 1 & 2: Row/Filter Context, Calculated Columns, Measures, YTD/QTD/MTD Calculations, Time Intelligence, RANKX, STDEV, TOPN
  • Class 10-11Power BI Cloud Deployment, Workspaces, Dashboards, Real-Time Pins, Personal/Enterprise Gateways, Data Refresh Architecture & Subscriptions
  • Class 12-13Improving Reports: Templates (.pbit), Gateway Settings, Natural Language Q&A (Cortana) & Quick Insights
Tableau
▼
  • FundamentalsTableau Fundamentals (24 Hrs/8 Days): Overview Dashboard, Sheets & Menu Items, Combined/Dual Axis Charts, Reference Lines, Sets, Histograms, Groups & Hierarchies, Custom Dates, Data Filters, Filled Maps, Heat Maps, Highlight Tables, String/Date Conversions & Motion Charts
  • AdvancedTableau Advanced: Data Blending, Dashboard Actions & Navigation, Box & Whisker Plots, Bullet Graphs, Calculated Fields & Joins, Data Extracts, Dual Axis Maps, Dynamic Measure Selection, Pareto Charts, Forecast Trend Lines, Small Multiples & Window Averages
Machine Learning
▼
  • Module 1-2Introduction to Machine Learning (Supervised, Unsupervised, Reinforcement) & Data Preprocessing (Importing Libraries, Missing Data, Categorical Encoding, Train/Test Split)
  • Module 3-6Regression Algorithms: Simple & Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree, Random Forest Regression, R-Squared & Adjusted R-Squared Evaluation
  • Module 7-10Classification Algorithms: K-Nearest Neighbors (K-NN), Naive Bayes (Bayes Theorem), Decision Tree Classification, Random Forest Classification & Logistic Regression
  • Module 11-14Model Evaluation & Selection: Confusion Matrix, Accuracy Paradox, K-Fold Cross Validation, Hyperparameter Tuning (GridSearchCV), Outlier Detection & SMOTE for Imbalanced Datasets
  • Module 15-17Unsupervised Learning: K-Means Clustering, Hierarchical Clustering (Dendrograms), Association Rules (Apriori & Eclat Algorithms), Reinforcement Learning (Markov Decision Process, Q-Learning)
  • Module 18-20NLP Fundamentals (Tokenization, Stemming, Lemmatization, Bag of Words, TF-IDF), Python Flask Server Web Model Deployment & Interview Questions
Enroll Today

Fee, Batches & Centres

Transparent pricing. EMI options available. Seats are limited per batch — reserve yours early.

₹45,000 + Tax
* All study materials, projects & certificate included
Duration8 Months
ModeOnline & Offline
Batch SizeMax 20 Students
CertificateThe XL Academy
  • 130+ hours live instructor-led sessions
  • 100+ Notes + Assignments
  • 8+ Live projects
  • Doubt-clearing after every module
  • Resume & LinkedIn profile review
  • Mock interviews + placement drives
Talk to a Counsellor
💳 EMI starts from ₹4,999/month  ·  Education loan available

Upcoming Batches

Weekday BatchMon to Fri — 10:00 AM to 6:00 PM
Starting Soon
Weekend BatchSat & Sun — 10:00 AM to 6:00 PM
Few Seats Left
Online BatchFlexible — recorded backups included
Open

Available Centres

📍 New Delhi (HQ) 📍 Gurugram 📍 Noida 📍 Bangalore 📍 Pune 📍 Mumbai 🌐 Online
Market Opportunity

Data Science Is the Fastest-Growing Career in India

India's analytics and AI market is projected to reach $16 billion by 2026. Demand for qualified data scientists far outpaces supply — that gap is your opportunity.

₹9 – ₹23 LPA
Typical salary range for Data Scientist roles — 1 to 4 years experience
36%
Projected job growth through 2031 (Bureau of Labor Statistics)
11M+
Data science job openings expected globally by 2026
$16B
India's analytics & AI market projection by 2026
50K+
Open data science roles in India on LinkedIn at any time
Common Questions

Everything You Need to Know

Do I need a CS background to join?
No CS background required — but you need basic mathematics comfort and willingness to learn Python from scratch. Engineering and science graduates without CS backgrounds do very well here.
Do I need to know Python before joining?
No. Module 1 starts from Python fundamentals. By week 4 you'll be writing data science scripts comfortably.
How is this different from Udemy or Coursera?
Live instruction means you can get your code debugged in class. Small batches (max 20) mean the instructor knows your name. And the placement team works with you directly — there's no equivalent of that on any online platform.
What projects will I build?
Three capstone projects: Customer Churn Prediction (ML), Image Classifier (CNN with TensorFlow), and NLP Sentiment Analysis (deployed as a REST API). All three go on your GitHub and are discussed in interviews.
How long does placement take after the course?
Most students who complete placement preparation actively receive their first offer within 30–60 days of finishing the program.
Is EMI available?
Yes — EMI starts at just ₹4,999/- only. Education loan options through partner NBFCs are also available. Call +91 73036 09096 for a personalised fee plan.

Ready to Become a Data Scientist?

Book a free demo class — experience our teaching before you commit. New batch starting soon, seats are limited.

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