★★★★★ 4.8 / 5 · 1,200+ reviews

Python for Data Analytics

The most in-demand programming language for data work. Go from zero to writing production-ready Python scripts — covering Pandas, NumPy, data visualisation, and exploratory analysis.

⏱ 2 Months 🖥 Online & Offline 🎓 Certificate Included 💼 100% Placement Assistance

Get Details on WhatsApp

Why The XL Academy

What Makes This Program Different

3,000+ learners have chosen The XL Academy over self-paced 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.

Tools & Technologies

The Python Stack for Data Analytics

Industry-standard libraries used in every analytics and data science team.

🐍

Python

🔢

NumPy

🐼

Pandas

📊

Matplotlib

Is This Course For You?

Who Should Enroll

No prior coding experience required — this course was built to take you from zero to job-ready.

🎓

Fresh Graduates

Build a Python skill that immediately differentiates your resume.

📊

Working Analysts

Add automation and deeper analysis to your Excel/SQL workflow.

🔬

Data Science Aspirants

Python is the prerequisite for ML and AI — start here.

🔄

Career Switchers

Any background; no prior coding experience required.

Detailed Curriculum

Python Course Syllabus

Comprehensive 40 Hours / 20 Sessions Training — Module-by-Module Breakdown

Python + Statistics + Pyspark

▼

Day 1What is Python, Brief History, Career Opportunities, Installing Python, Anaconda & IDE Overview
Day 2First Python Program, Objects, Data Types, Immutable vs Mutable, Object Referencing & Operators
Day 3%Run & %Load Commands, Strings, Escape Characters, F-String Formatting, Input Statements, Indexing, Slicing & Dicing
Day 4Lists, Tuples, Dictionaries, Sets & Control Flow Statements (If-Else Conditions)
Day 5For Loops, Enumerator for Iterations, Break/Continue Statements, Nested Loops & While Loops
Day 6List Methods, List Comprehension (with If-Else), Tuple Methods & Tuple Comprehension
Day 7Dictionary Methods, Dictionary Comprehension, String Methods & Regular Expressions (Regex)
Day 8Functions in Python, Lambda Expressions, Map, Filter, Reduce, Zip, Accumulate & Decorators
Day 9Modules, Datetime Classes, Iterables vs Iterators, Generators & Generator vs List Performance
Day 10Statistics Fundamentals: Population vs Sample, Sampling Techniques, Charts/Graphs & Measures of Central Tendency
Day 11Measure of Dispersion, Normalization vs Standardization (Z-Score), 5-Number Summary, Probability & Math/NumPy Practical
Day 12OOPs Concepts: Class & Objects, __init__ / __str__ Methods, Abstraction, Inheritance, Super(), Encapsulation & Polymorphism
Day 13File Handling in Python, File Modes, 'with' Statement, Exception Handling & Try-Except Blocks
Day 14Logging & Debugging, Connecting Python with SQL Server
Day 15NumPy Library: Multi-dimensional Array Operations & Computations
Day 16Pandas Library: DataFrames, Series, Data Cleaning & Manipulations
Day 17Data Analysis & Visualization using Pandas, Matplotlib, Seaborn & Plotly
Day 18Real-world Python Project Discussion & Portfolio Project Building
Day 19Introduction to Big Data, Apache Spark Overview, PySpark Architecture & PySpark Queries
Day 20Git & GitHub Version Control, Essential Git Commands & Building REST APIs in Python

Career Outcomes

Roles Open to Python Analytics Graduates

Python skills unlock a wide range of analyst and data science roles across India's top employers.

🐍 Python Data Analyst

₹4 – 10 LPA

TCS, Wipro, Infosys, HCL, Mphasis, Cognizant

📊 Data Analyst

₹4 – 8 LPA

Flipkart, Amazon, Meesho, Zomato, Urban Company

🔬 Junior Data Scientist

₹6 – 12 LPA

Fractal Analytics, Mu Sigma, Latent View, Tiger Analytics

🤖 ML Engineer (entry)

₹6 – 14 LPA

Jio, PhonePe, Paytm, CRED, Razorpay, Swiggy

Enroll Today

Fee, Batches & Centres

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

₹12,000 + Tax

* All study materials, projects & certificate included

Duration2 Months

ModeOnline & Offline

Batch SizeMax 20 Students

CertificateThe XL Academy

Talk to a Counsellor

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

Python Analytics Is High-Demand Across India

Python has become the #1 programming language for analytics, data engineering, and AI. Master Python to unlock high-growth career opportunities.

₹5 – ₹12 LPA

Typical salary range for Python Analyst roles in India

Most requested programming language for Data Analytics globally

45K+

Active Python Analytics job openings in India

3.5x

Faster career growth rate for Python-skilled analysts

96%

Our learners placed within 60 days of course completion

Common Questions

Python for Data Analytics — FAQs

Do I need any prior coding experience?

No. The course starts from absolute basics. We cover everything from variables to DataFrames — no assumptions.

How is this different from online platforms like Udemy or Coursera?

Live instruction with a real faculty member means you can ask questions, get code debugged in class, and receive feedback on your projects. You also get placement support.

Is Python alone enough to get a job?

Python for analytics (Pandas, EDA, visualisation) gets you into analyst roles. For data science or ML roles, you'll want to layer on statistics and ML modules (covered in our Data Science course).

What kind of projects are included?

Two end-to-end capstone projects: a customer sales analysis and an HR attrition analysis — both on real datasets with a full EDA workflow and visualisation output.

How long does each live session last?

Sessions are typically 1.5–2 hours. Online batches have 3 sessions per week. Offline batches run Monday–Wednesday–Friday or Tuesday–Thursday–Saturday based on your selected centre.