★★★★★ 4.8 / 5  ·  1,200+ reviews

Data Analytics
with Python

From spreadsheets to Python pipelines — master the full analytics stack in 6 months and step into a Data Analyst role with confidence.

⏱ 6 Months 🖥 Online & Offline 🎓 Certificate Included 💼 Placement Assistance
Get Details on WhatsApp

What you'll master

Python — Pandas, NumPy, Matplotlib
SQL — Queries, Joins, Stored Procedures
Power BI — DAX, Interactive Dashboards
Tableau — Story Points, Calculated Fields
Advanced Excel — Pivot Tables, MIS Reports
Statistics & Exploratory Data Analysis
🕐
6 Months
Course Duration
👨‍💻
Online & Offline
Learning Mode
🏆
₹4 – 12 LPA
Average Salary
🚀
New Batch Soon
Limited Seats
6+
Tools Covered
2
Capstone Projects
7
Curriculum Modules
100%
Placement Assistance
Course Curriculum

What You'll Learn — Module by Module

A structured 6-month program that takes you from Excel basics to advanced Python analytics and live project work.

01
Advanced Excel & MIS Fundamentals
Weeks 1–4  ·  4 weeks
+

Build a rock-solid foundation in Excel — the tool every data analyst uses daily. Learn to build professional MIS reports from scratch.

Formulas & Functions VLOOKUP / XLOOKUP Pivot Tables Conditional Formatting Data Validation MIS Dashboard Design Charts & Graphs Named Ranges
02
SQL & Database Management
Weeks 5–8  ·  4 weeks
+

Query real databases to extract, filter, and join data for analysis. Essential for any Data Analyst working with structured data.

SELECT, WHERE, GROUP BY JOINs (INNER, LEFT, RIGHT) Subqueries & CTEs Aggregate Functions Stored Procedures Database Design Basics SQL Server
03
Python for Data Analytics
Weeks 9–14  ·  6 weeks
+

The centrepiece of this course. Learn Python from scratch specifically for data manipulation, cleaning, and analysis using industry-standard libraries.

Python Fundamentals Pandas — DataFrames NumPy Arrays Data Cleaning & Wrangling Exploratory Data Analysis Matplotlib / Seaborn File I/O (CSV, Excel, JSON)
04
Statistics & Data Interpretation
Weeks 15–17  ·  3 weeks
+

Understand the numbers behind the data. Learn how to think statistically and draw valid conclusions from data distributions and tests.

Descriptive Statistics Probability Basics Distributions Hypothesis Testing Correlation & Regression Business Case Interpretation
05
Power BI — Dashboards & DAX
Weeks 18–21  ·  4 weeks
+

Build interactive, business-ready dashboards that update in real time. Learn DAX — the formula language that makes Power BI truly powerful.

Power BI Desktop Data Modelling & Relationships DAX Formulas Calculated Columns & Measures Interactive Visuals Power BI Service Dashboard Publishing
06
Tableau — Data Visualisation
Weeks 22–24  ·  3 weeks
+

Create compelling visual stories with Tableau. Learn when to use which chart type and how to communicate data findings to non-technical stakeholders.

Tableau Desktop Connecting Data Sources Calculated Fields Chart Types & Best Practices Filters & Parameters Story Points Tableau Public
07
Capstone Projects & Placement Prep
Weeks 25–28  ·  4 weeks
+

Apply everything across two end-to-end industry projects. Polish your portfolio, build a data-ready resume, and prepare for technical interviews.

E-commerce Analytics Project Financial Dashboard Project Resume Building LinkedIn Profile Optimisation Mock Technical Interviews Placement Drive Access
Tools & Technologies

The Exact Tools Employers Expect

You'll be hands-on with every tool from day one — no theory-only learning.

🐍
Python
🗄️
SQL Server
📊
Power BI
📉
Tableau
📗
Advanced Excel
🔢
NumPy
🐼
Pandas
📈
Matplotlib
Is This Course For You?

Who Should Enroll

This program is designed for anyone ready to work with data — no prior coding experience required.

🎓
Fresh Graduates
B.Tech, BCA, BBA, B.Com, BA — build job-ready skills before your first role.
💼
Working Professionals
HR, Sales, Finance, Operations — add analytics to your profile and increase your value.
📚
MBA / PGDM Students
Combine management knowledge with Python and BI skills to target analytics leadership roles.
💻
IT Professionals
Software engineers and testers moving into data roles — leverage your technical foundation.
Career Outcomes

Roles You Can Target After This Course

Our graduates work at top companies across e-commerce, finance, consulting, and tech.

📊 Data Analyst
₹4 – 9 LPA
TCS, Wipro, Infosys, Accenture, Deloitte, Genpact, HCL
📣 Marketing Analyst
₹5 – 10 LPA
Amazon, Flipkart, Meesho, Urban Company, Zomato, Swiggy
📦 Product Analyst
₹6 – 12 LPA
Paytm, PhonePe, Ola, Razorpay, CRED, Zepto
📋 Business Analyst
₹5 – 11 LPA
KPMG, EY, PwC, Mu Sigma, Tiger Analytics, Fractal
📈 BI Developer
₹5 – 10 LPA
Cognizant, Capgemini, Tech Mahindra, Mphasis, Hexaware
🔍 Operations Analyst
₹4 – 8 LPA
Hitachi, DHL, Mahindra, Max Life, ICICI, HDFC Bank
Our students placed at
Student Stories

Our Students, Placed & Thriving

Real people. Real results. Hear from those who've taken this exact course.

PA
Purushottam Anand
MIS Executive · Max Life Insurance
★★★★★

Training in Excel, SQL, Power BI and Python shaped my skills. The structured approach helped me transition into a Data Analyst role within 3 months of completing the course.

AH
Abhishek H S
MIS Executive · Zepto
★★★★★

The course covered SQL, Power BI, Tableau and Advanced Excel thoroughly. Real case studies and projects made the learning stick. Strongly recommended for anyone wanting a data career.

RT
Rameshwari Tailor
Trainee Operations · Spectrum
★★★★★

Really good faculty for analytics, with doubt-solving at the end of each module and solid placement assistance. Got my first offer within 2 months of placement drives.

DM
Deepak Mittal
Sr. Executive · Infopro Learning
★★★★★

My experience with The XL Academy is amazing. The Python modules were explained step-by-step — even with zero coding background I was writing data pipelines by week 12.

Common Questions

Data Analytics with Python — FAQs

Do I need prior coding experience to join this course?
No. This course is designed to take you from zero to a job-ready level. We start with Excel and introduce Python gradually — by the time you reach the Python modules you'll already have strong data foundations.
What is the difference between this course and the Data Science course?
Data Analytics with Python focuses on analysis, dashboards, and business reporting (Python, SQL, Power BI, Tableau). Data Science goes deeper into Machine Learning, Statistics, and model building — it's better suited for those targeting ML Engineer or Data Scientist roles.
How are the classes delivered?
Both online (live sessions over video) and offline (at our Dwarka, New Delhi campus) options are available. The curriculum, projects, and placement support are identical across both modes.
What kind of projects will I build?
Two industry-grade capstone projects: an e-commerce analytics dashboard (end-to-end with Python + Power BI) and a financial performance report (SQL + Tableau). Both are portfolio-ready and interviewable.
Is placement guaranteed?
We provide 100% placement assistance — resume building, mock interviews, access to placement drives, and direct referrals. Final placement depends on student performance and effort during prep.
What is the fee for this course?
Please contact our counsellors for the current fee structure, EMI options, and available scholarships. Call or WhatsApp +91 73036 09096 for a personalised fee breakdown.

Ready to Start Your Data Analytics Career?

Book a free demo class and see how we teach — no commitment, no pressure. New batch starting soon.

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