Business Process Improvement and Data-Driven Decision Making
Case Studies
Case Studies in Business Analytics
GenAI Data Analysis
Analysis through ChatGpt
Create Python Code through ChatGPT
Big Data analytics through Gemini
Self-Paced: Agile Project Management for Data Analytics
Introduction to Agile Methodologies
Agile Frameworks
Agile in Data Analytics
Project Initiation and Planning
Execution and Delivery
Collaboration and Communication
Monitoring and Adapting
Challenges and Best Practices
Capstone Discussion: Part IV
Discussion on Capstone
Unlock valuable insights
5-star rating by 97% of students.
Discover the outcomes of the program.
Explore the custom-curated learning path.
Master industry-relevant tools
Launch projects, leap forward
Blinkit Customer Insights
Leverage data-driven insights to predict customer loyalty, minimize churn, and boost sales. Gain hands-on experience with real-world datasets, mastering advanced analytics techniques to enhance retention, identify opportunities, and accelerate growth effectively.
Hero Fincorp Loan Optimization and Risk Management Initiative
Analyze loan portfolios to improve risk management strategies using SQL, Power BI, and Excel. Identify high-risk loans, streamline approval processes, and enhance financial outcomes through data-driven insights, improving creditworthiness evaluations and decision-making frameworks.
Reducing Machine Downtime at Tesla with Predictive Maintenance
Utilize advanced data analytics to predict machine breakdowns and recommend proactive maintenance schedules. Use SQL and Power BI to enhance operational efficiency, reduce repair costs, increase equipment lifespan, and ensure seamless Tesla operations.
Decoding Amazon Purchase Behavior
Analyze customer behavior on Amazon using SQL, Power BI, and Excel to uncover trends and product performance insights. Optimize marketing strategies, enhance customer experiences, predict preferences, and drive sustainable business growth effectively.
Unlocking Insights from Airbnb Data with Power BI
Analyze Airbnb listings with Power BI to uncover trends in pricing, occupancy, and reviews. Deliver actionable insights that help optimize host strategies, improve guest experiences, increase satisfaction, and maximize overall revenue.
Supply Chain Optimization at SwiftLogistics Using Data Analytics
Optimize SwiftLogistics' supply chain operations by identifying inefficiencies with SQL and Power BI. Improve lead times, lower transportation costs, enhance delivery performance, and increase customer satisfaction through actionable data insights.
Confused About What You’ll Learn?
Let’s Break It Down!
Curriculum
Tools
Project
I’m new to data analytics — can I keep up?
Absolutely! This program is designed for beginners and career switchers, requiring no prior coding or advanced math skills.
📌 What you’ll learn first:
How businesses use data to make decisions.
Understanding key analytics concepts like descriptive, diagnostic, and prescriptive analytics.
Learning the basics of Python, SQL, and Excel — from zero to practical application.
💡 Think of it as learning to drive — we start in a safe zone before moving to the fast lane.
The curriculum builds your skills gradually, starting with basic data analysis and visualization techniques.
Through hands-on practice, real-world examples, and guided walkthroughs, you’ll gain confidence at every stage.
Will the program overwhelm me with too much information?
Not at all! The program is structured into 5 clear phases, ensuring you learn step by step.
📌 Phase 1: Foundations of Business Analytics
Learn core tools like Python, SQL, Excel, and Power BI while understanding how businesses use data.
📌 Phase 2: Data Cleaning & Exploratory Analysis
Master tools like Pandas, NumPy, Matplotlib, and Seaborn to clean and explore messy datasets.
📌 Phase 3: Advanced Data Visualization & Statistical Analysis
Dive deeper into creating impactful dashboards and conducting statistical analyses using Python and Power BI.
📌 Phase 4: Real-World Applications & Case Studies
Solve industry-relevant problems using analytics tools and techniques.
📌 Phase 5: Capstone Project
Work on a comprehensive project that integrates all your learning.
💡 We focus on steady progress — no leaps, just consistent growth.
Is this program theoretical or practical?
This is a hands-on program designed to solve real-world problems.
📌 You’ll work on:
Cleaning raw data from industries like e-commerce and finance.
Building dashboards that provide actionable insights for businesses.
Conducting statistical analyses to uncover trends and correlations.
💡 Portfolio-ready:
By the end of the program, you’ll have a portfolio showcasing your projects to impress potential employers.
I’ve never coded before. Will I struggle?
Not at all! The program assumes no prior coding experience.
📌 We teach Python and SQL step-by-step with:
Real-world examples that simplify complex concepts.
Code-along sessions for guided practice.
Exercises designed to build confidence without pressure.
💡 You’ll go from zero to hero:
Progress from writing your first script to completing full-scale analysis projects.
Will I learn how to handle messy data?
Yes! Data cleaning is a critical skill in analytics, and we ensure you’re well-prepared.
📌 You’ll practice:
Fixing missing values and errors.
Merging inconsistent datasets into clean formats.
Preparing unstructured data (like text reviews) for analysis.
💡 Clean data = better insights:
A skill highly valued by recruiters.
What’s Exploratory Data Analysis (EDA), and why is it important?
EDA is like detective work for data — it helps uncover patterns before building models.
📌 You’ll learn:
Identifying trends, outliers, and correlations.
Using visualizations to tell compelling stories.
Answering the “why” behind numbers for better decision-making.
💡 It’s about storytelling with data:
Find the narrative behind the numbers to drive strategy.
Is there a final project?
Yes! The program concludes with a Capstone Project, where you’ll tackle a real-world business problem from start to finish.
📌 Your final project will include:
Cleaning data, analyzing trends, building dashboards, and presenting your findings.
💡 It’s a standout portfolio piece:
Perfect to showcase in job applications.
Get certified
On successful completion of the program, you will be eligible for the Hero Vired certificate that places you in an elite league of professionals.
* Certificates are indicative and subject to change
Get certified
Additional PL-300: Microsoft Power BI Data Analyst Certificate (Subject to the learner clearing the certification examination)
* Certificates are indicative and subject to change
Our faculty, your mentors
Shakul Malik
Faculty, Hero Vired | 10+ Years
Shakul Malik, a Senior Faculty at Hero Vired, specializes in Python, HTML, CSS, Java, JavaScript, Spring Boot, Docker, Jenkins, and web security. With a Master's in CS from Maharishi Dayanand University, she has also worked with Primed Talent and TCS, delivering full stack development training.
Education
BSc. in Computer Science , Computer Science from MDU
Master’s in Computer Science , Computer Science from MDU
Upendra Kumar Tiwari is a Data Scientist specializing in Machine Learning, Data Visualization, NLP, and Financial Analytics, with over 15 years of experience. Currently, he works at Synergistic Compusoft Pvt Ltd, focusing on data analysis and corporate training. Upendra is skilled in deep learning and analytical techniques and is committed to continuous learning and sharing knowledge.
Education
M.Tech from Mahamaya Technical University (formerly UPTU)
Dr. Prashant Kumar Dey has extensive experience with Google, BMW and various startups across France, Singapore and India. He has co-founded AtharvaAI (a deeptech company). He has written 2 books and has published 15+ research papers. He is currently leading the Tech and Data Science domain at HeroVired and Completed Ph.D. from CCU.
Education
Post-Masters (Entrepreneurship), IIT Delhi
Master of Science (Cyber Security), Institut Mines-Télécom (EURECOM)
MBA (Australia), PhD 23+ yrs experience Data Analytics, AI, Digital Transformation
Halasya Siva Subramania is a seasoned Technology Strategist & AI practitioner with over 22 Years in developing analytics solutions across domains like aerospace, automotive, banking, financial services, edutech & large-scale scientific research. Currently, he is the Head of AI & Automation at Telstra, where he has been since July 2019.
Education
Senior Executive MBA in Business Administration and Management from Melbourne Business School
Faculty, Hero Vired | 14+ years of corporate experience
Soumita Mukherjee, a marketing and management expert with 15+ years in FMCG, has worked at Amazon, HUL, Pidilite, and Raymond. With an MBA from Goa Institute of Management and a Bachelor's from NIFT Mumbai, she's now a faculty at Hero Vired. Specializing in CRM, branding, product management, and go-to-market strategies, Soumita excels in category management, sales strategy, and driving successful brand growth through new product nurturing.
Education
MBA from Goa Institute of Management and a Bachelor's in Design from NIFT Mumbai
Siddharth is Data Scientist with 5 years of Industry experience as a Machine Learning Engineer. Experience in designing and implementing scalable machine learning models in cloud-based solutions. Mostly developing prototypes to access viability of approach and deploy application into production.
10 years of experience in Data Engineering, Analytics, & Project Management
Sunny Mulchandani holds a Bachelor's degree in Commerce with a focus on Business Entrepreneurship from the University of Pune. With over 10 years of experience in data engineering, analytics, and project management, he has worked with prominent companies like Tata iQ, NielsenIQ, TCS, and eClerx. Proficient in Microsoft Azure, Python, SAS, and machine learning models.
