AI Powered  Data Analytics

Get years ahead through practice-based learning and real-world projects. Start your transformation today. Learn 20+ Data Analytical Tools Positioning you for success.

Over 60 hours of live training sessions led by industry expert mentors. Job Opportunities placement connections with prominent global technology and consulting companies, including: Tech & Consulting: Infosys, Accenture, Wipro, HCL, IBM.

Why do you need Data Analytics Certification?

The global demand for data professionals is rising, with data analytics roles expected to grow by 25% in the next five years.

Key sectors like e-commerce, finance, healthcare, and manufacturing are driving this need.

Investment in data-driven decision-making has increased by 30%, boosting demand for certified experts.

Modules

· Module 1 : Advanced Excel for Data Analytics

· Module 2 : Data Management using MySQL

· Module 3 : Data Visualization and Reporting

· Module 4 : Python for Data Analytics

· Bonus Modules

· Module 5: R - Programming

· Module 6 : Introduction to Machine Learning

· Module 7 : AI Tools For Analytics

Tools You Will Learn

Learn 20+ Data Analytical Tools

Positioning you for success

We are dedicated to equipping our learners with the right opportunities in the rapidly expanding Data Science field, providing them with comprehensive career preparation and personalized interview support.

Business Analytics

Data Engineering

Data Analytics

Business Intelligence

Prompt Engineering

Data Visualization

Data Science

Database Administration

Realtime Projects

1. Promotional Campaign Effectiveness Analysis for FMCG client

promotion runs over Indian festivals to understand their effectiveness and make data driven decisions for the next  promotional period.

2. Retail Demand Forecasting and Inventory Optimization

Learn how retail giants use advanced analytics to predict demand and optimize inventory levels, reducing overstock and stockouts.

3. Music Recommendation engine creation using Spotify data

Build a personalized music recommendation engine using real-world Spotify data. This case study dives into how machine learning algorithms like collaborative filtering and content-based filtering can be used to suggest songs based on user preferences, listening habits, and music attributes.

4. Insight Generation and Storytelling on AirBnB Data

Learn how to extract meaningful insights from AirBnB’s listings and bookings data. This case focuses on data-driven storytelling to identify the most popular destinations, pricing trends, and factors influencing customer satisfaction, helping hosts optimize their property listings.

5. Consumer Basket Analysis for quick commerce platforms like Zepto, Blinkit

Understand how to analyze consumer purchase patterns on rapid delivery platforms. This case study involves using association rule mining and market basket analysis to identify frequently bought product combinations, enabling platforms to optimize inventory and bundle offers.

6. Exploratory Data Analysis to optimize cab rides on Uber Data

Perform an exploratory analysis on Uber ride data to uncover key patterns such as peak hours, high-demand locations, and fare pricing trends. This case teaches students to leverage data visualization and statistical techniques to improve cab allocation and reduce wait times

7. Financial Fraud Detection using American Express Data

Implement machine learning techniques to detect fraudulent transactions in a financial dataset provided by American Express. The case study covers feature engineering, model selection, and evaluation to build a robust fraud detection system that minimizes false positives.

8. Visualization of OTT platform data to understand content outline

Utilize visualization techniques to analyze OTT platform data and understand content preferences across genres, languages, and viewer demographics. This case study explores how to create dashboards that provide actionable insights for content acquisition and production strategies.

9. Turn around time analysis for Retail data

To achieve operational excellence in identifying on time delivery and the turn around time for a B2B retail business.

10. Marketing Campaign Effectiveness in E-commerce

Examine the performance of digital marketing campaigns using clickstream and purchase data. This case study highlights the use of data to assess ROI, customer segmentation, and the attribution of marketing channels to conversions.

Gear up for transformative learning experiences!

Master data analysis

Transform raw data into actionable insights and compelling visuals to drive informed business decisions.

Build a strong foundation

Learn predictive modeling, data exploration, and machine learning to solve various business challenges effectively.

Acquire interdisciplinary expertise

Engage in hands-on exercises and industry projects, addressing real-world data issues to foster innovation.

Strengthen strategic decision-making

Apply mathematical and statistical models in marketing, finance, and operations for data-driven business insights.

Here’s everything you may ask…

Frequently Asked Questions:

1) Who is this program for?- 

This Data Analytics program is designed for aspiring data analysts, students, graduates, business analysts, current data professionals, career switchers, technical professionals, entrepreneurs, consultants and a wide range of professionals. Whether you are looking to start a new career, upskill, or leverage data analytics and AI in your current role, this program provides comprehensive training to help you achieve your goals.

2) What is the application process?

Our application process begins with a comprehensive form designed to understand your background and aspirations. Completing this form is the first step toward joining our exclusive program.

3) What qualities are you looking for in candidates?

We are looking for proactive, enthusiastic, and serious candidates who are committed to making a significant career transition and 100% dedication to learning.

4) Are there any prerequisites for this program?

There are no specific requirements to join our program. All you need is a hunger to learn and basic computer skills, including the ability to use Excel. We will teach you everything else you need to know during the course.

5) When do the live sessions happen?

This is a live session program, call with a dedicated mentor will happen on timing decided by running a poll in the whatsapp group. Once done, the timing will be fixed for the rest of the course.

6) What if I can’t make the live sessions?

Data Analytics Career Accelerator Program is designed to work with your schedule because we run polls in the cohort before setting the time. We strongly encourage you to attend the Live sessions, as it’s an opportunity to validate/resolve your top burning questions with an expert. Of course, you can always watch the session recordings and participate in discussions or leave your feedback on our community forum.

7) How much time can I expect to spend on the program each week?

At least 5-7 hours per week with hands-on practice, for the 24 weeks of the program.

8) When will I get my Certificate?

Individuals who successfully complete their 80% course work i.e. cover all learning modules & project submissions, are eligible to receive a Certificate of Completion from LEADPULSE DYNAMICS which acts as a seal of trust for your proof of work under the guidance of industry leaders.

Job Opportunities

Post-certification, you’ll be equipped to take on roles such as:

Companies across industries like retail, banking, healthcare, and technology are actively seeking professionals with expertise in data analytics.

Data Analyst

Business Analyst

Data Scientist (Entry-Level)

Business Intelligence Analyst

Reporting Analyst