Start your journey in analytics with Ivy Professional School’s Pune-based program. Learn industry-relevant tools and techniques, build real projects, and gain job-focused training to thrive in data roles.
Learn with Experts & Industry Leaders from IIT & IIM
Ivy Professional School’s Data Analytics Course in Pune is crafted to help aspiring analysts and professionals build a strong foundation in data interpretation, business intelligence, and analytical modeling. With Pune emerging as a major hub for IT, finance, and consulting, the need for skilled data analysts continues to grow. Our course combines foundational learning with advanced practical exposure to ensure you're ready for real-world challenges. The course emphasizes hands-on experience by covering Python for data transformation and automation, SQL for extracting insights from structured databases, Excel for applied business analytics, Tableau and Power BI for dashboarding and visualization, and statistics and predictive modelling for data-driven decision-making.
94% Placement Rate | 4-5 LPA avg salary | 17,000+ job openings in India
Get connected with alumni, Join over WhatsApp Student Community and Lifetime Placement Assistance
Fortune 500 hiring partners including Google, Microsoft, Accenture, IBM, Oracle, Cognizant
Comprehensive, structured learning path designed by industry experts
₹42,000
+ GST applicable
For 9 months* (excluding GST)
or pay full amount upfront
Build a professional portfolio with real-world projects designed in collaboration with industry experts. Apply your knowledge to solve actual business problems and showcase your skills to potential employers.
Analyze smartphone sales data using Excel. Learn to create dashboards, perform quarterly revenue analysis, and uncover insights using key Excel functions.
Analyze AirBNB business data and create insightful visualizations using Tableau. Learn key techniques for dashboarding, filtering, and data presentation to drive business decisions.
Analyze Netflix Originals data with SQL, utilizing Window Functions, CTEs, and various SQL queries to explore trends and uncover insights in the dataset.
Our career services team is dedicated to helping you launch or advance your career in the tech industry. We provide end-to-end support from resume building to job placement.
Our dedicated placement team works with 500+ hiring partners to help you find the right job opportunities. We have a 94% placement rate for our full-time program graduates.
Access exclusive hiring events, industry meetups, and networking opportunities with top companies in the tech and data science fields.
Eligible students can opt for our job guarantee program, ensuring you land a role within 6 months of graduation or receive a full tuition refund.
Get guidance on evaluating job opportunities, negotiating compensation packages, and understanding industry salary benchmarks for your role and experience level.
This dual-focus certification covers both analytical techniques and visualization best practices for comprehensive data storytelling.
Validates your ability to implement machine learning algorithms and AI solutions to solve complex business problems.
These reviews show how our faculty, curriculum, and teaching methods, real world projects have helped our students learn the right skills, gain practical experience to find jobs in top companies.
"The Data Science bootcamp transformed my career trajectory. Now I'm not just working at PwC, but also mentoring juniors in the field."
"It has been a great experience with IVY. They solve every single doubts. They even arrange one to one classes for students"
"What sets Ivy apart is the personal attention. The director helped me solve a real-world problem I was facing at work during class hours!"
"Overall experience is really very good. I want to thanks Eshaani Agarwal maam for her attractive and responsive classes."
Join thousands of successful professionals who started their journey with us.
Everything you need to know about the course and enrollment
Speak directly with our career counselors in Kolkata.
