Business Analytics & AI—Turn Data Into Smart Decisions.

Learn how to transform business data into impactful decisions—projects, internships, certifications, and placement support included.
Turn data into decisions.
No fluff. Just results.

Stop guessing. Start Analyzing.

Business Analytics & AI teaches you how companies actually make decisions—using numbers, not assumptions.

Build dashboards.
Predict outcomes.
Use AI smartly.
Get job-ready.

🚀 Why This Track Works

✔ Industry-Led Training
Learn from professionals working in real analytics roles—not textbook theory.

✔ Live Projects for Portfolio
Build real business dashboards recruiters actually ask for.

✔ 45-Day Internship Exposure
Get real work experience, not classroom tasks.

✔ Industrial Workshops
Interact with analysts, data leads, and hiring managers.

✔ AI Integration in Analytics
Apply smart AI tools & automation in real business scenarios.

📚 What You’ll Learn

• Understand the role of data in business decisions
• Clean and interpret real business datasets
• Identify KPIs (Key Performance Indicators)
• Learn analytics terminology without confusion

🔹 Module 1 : Business Analytics Fundamentals

🔹 Module 2 : SQL & Data Manipulation

• Query data from real databases
• Filter, sort, and join business tables
• Use SQL to generate insights
• Build clean reports from raw data

🔹 Module 3 : Visualization & Reporting

🔹 Module 4 : AI in Business Analytics

• Create interactive dashboards (Power BI / Tableau)
• Track sales, revenue, and customer metrics
• Build charts that tell business stories
• Present insights confidently

• Apply GenAI tools for data automation
• Use AI to generate business summaries
• Explore AI-assisted forecasting
• Apply smart models to real cases

🚀 Real-World Projects You Will Build

Create a predictive model to identify customers likely to leave a service.
Understand customer behavior, usage trends, and risk signals.

Skills: Python, EDA, Feature Engineering, Machine Learning
Outcome: Data-driven retention strategy model used by telecom & SaaS companies.

📊 1️⃣ Customer Churn Prediction

🛒 2️⃣ E-Commerce Sales Dashboard

Build an interactive dashboard to track revenue, customer trends, profit margins, and product performance.
Translate raw sales data into business-ready insights.

Skills: Excel, SQL, Power BI/Tableau, KPI Analysis
Outcome: A portfolio-ready dashboard that mirrors real analytics roles.

🏦 3️⃣ Credit Risk Analysis Model

Develop a classification model to predict loan approval risk using financial datasets.
Learn how banks assess and reduce lending risk.

Skills: Python, Data Preprocessing, Logistic Regression, Model Evaluation
Outcome: Real-world financial risk prediction system.

📈 4️⃣ Stock Market Trend Analysis

Analyze historical stock market data to detect trends and performance patterns.
Apply time-series techniques to identify signals.

Skills: Python, Pandas, Time-Series Analysis, Data Visualization
Outcome: Financial analytics project demonstrating trend interpretation skills.

Social Proof

Clarity + Consistency + Courage = Placements. Who would’ve thought? Here’s what our placed students say.

⭐ Aarav Mehta

📊 “From Operations to Business Analyst”

I was working in operations for 5 years and felt my career was not growing. I wanted to move into a Business Analyst role, but didn’t know where to start.
Course Mines AI helped me understand how data drives business decisions. The live case studies and projects were exactly what companies expect.
Within a few months, I switched roles internally in my company.

⭐ Riya Sharma

💼 “Studying After Office Was Possible”

My biggest concern was time. I leave office around 7 PM.
Because of the live + recorded training, I could learn at night or on weekends. Nothing felt rushed.
Today I’m handling business reporting and analytics dashboards in my organization.

💰 “Affordable but Powerful”

I had checked many courses, but they were simply out of budget. This program felt realistic for someone like me from a middle-class background.
Despite being affordable, the training quality was excellent. The mentors explained concepts using real business problems, not just theory.

⭐ Shikha Das

⭐ Tanisha Kapoor

📈 “My Manager Started Taking Me Seriously”

I was working as a sales executive in Delhi, and my job was mostly reporting numbers to my manager.

After learning business analytics tools and frameworks in the live sessions, I started analyzing sales patterns and presenting insights. My manager literally asked me where I learned this. That was the moment I realized the course was worth it.

⭐ Saurabh Jain

💼 “I Needed Skills, Not Just Another Certificate”

Saurabh knew theory but had no practical exposure.
The internship and real datasets helped him build hands-on confidence.
He cleared interviews with real project discussions and now works as a reporting analyst.

🎓 “College Didn’t Teach What Industry Needs”

⭐ Mehak Arora

I’m a BBA student from Lucknow and internships were very difficult to get. Through the live projects and mentorship, I understood how companies analyse business decisions. Now I actually understand business data instead of just reading theory.

📊 Business Analytics—Key Student FAQs

Data Analyst vs Business Analyst—What's the Difference?

Data Analysts focus on analyzing datasets and building dashboards, while Business Analysts translate data insights into business decisions and strategy.

What is the average salary for a Business Analyst?

Entry-level Business Analysts in India typically earn around ₹5L–₹10L per year, depending on skills, tools knowledge, and industry.

What skills are required to become a Business Analyst?

Core skills include data interpretation, business understanding, problem-solving, communication, and stakeholder management.

Do I need technical skills to learn Business Analytics?

Basic technical skills are helpful, especially Excel, SQL, and BI tools like Power BI or Tableau, but deep programming knowledge is usually not required.

What industries hire Business Analysts the most?

Business Analysts are widely hired in IT, finance, consulting, e-commerce, healthcare, and product companies.

What kind of work does a Business Analyst do daily?

Business Analysts typically analyze business data, identify problems, create reports or dashboards, and recommend solutions to improve business performance. 📈