AI | Machine Learning | Statistical Modeling | Big Data Analytics — The Ultimate Hands-On Bootcamp, Newly Upgraded!

In today’s AI-driven and data-powered world, companies desperately need talent who can understand business, analyze data, and deliver real impact. To help learners master practical, job-ready skills, iData has launched the fully upgraded Big Data Project Bootcamp 2.0 — not just teaching theory, but showing you exactly how real analysts work end-to-end.

This upgraded program is built around high-value business scenarios across telecommunications, finance, insurance, retail, and more. Through six enterprise-grade real-world projects, you will master SQL, Python, SAS and apply statistical modeling and machine learning to solve real business problems.

📌 Course Highlights

• Master 6 enterprise-level real projects in one program
• Full workflow: business understanding → data cleaning → modeling → tuning → reporting
• Expert-level proficiency in SQL + Python + SAS
• Industry coverage: finance, telecom, retail, healthcare, e-commerce
• Resume-ready project portfolio to support job search, career transition, or promotion

💡 Why iData’s Bootcamp?

Many courses teach “tools and theory.” This bootcamp is different — it teaches projects, business logic, and real problem-solving.

You will strengthen the abilities employers value most:

• Data cleaning & integration
• Exploratory data analysis (EDA)
• Model building & hyperparameter tuning
• Business-oriented analytical reporting
• Resume-ready project experience & interview storytelling

🔍 Six Real-World Projects

1️⃣ RFM Customer Value Analysis — SQL

• Build RFM models with T-SQL
• Identify high-value, dormant, and potential customers
• Use cases: CRM, retention, marketing segmentation

2️⃣ Customer Segmentation — Python

• Data cleaning with Pandas + clustering algorithms
• Automated customer profiling
• Use cases: behavior insights, tagging, recommendation

3️⃣ Linear Regression Forecasting

• Statsmodels + Sklearn linear modeling
• Predict sales, prices, conversions
• Use cases: pricing, inventory, financial forecasting

4️⃣ Classification Modeling — Logistic Regression & Decision Trees

• Build classification models with Sklearn
• Predict churn, creditworthiness, health risk
• Use cases: risk management, retention, healthcare analytics

5️⃣ Survival Analysis — SAS

• Survival modeling with SAS/STAT & SAS EM
• Predict lifecycle & failure time
• Use cases: churn prediction, warranty/fault cycles, insurance

6️⃣ Risk Scoring + Cross-Sell Modeling

• End-to-end pipeline with SQL + Python + SAS
• Identify hidden demand and build recommendation logic
• Use cases: credit risk, product recommendation, value uplift

📚 Three-Step Learning Framework

▶ Theory → Crystal-Clear Explanations

• Concepts explained in plain language
• Scenario + theory + code walkthrough

▶ Hands-On Practice — Every Class Includes Real Tasks

• Work through all 6 projects end-to-end
• Simulate enterprise workflows

▶ Optional Project Incubator

• Join real business case projects
• Add a “flagship project” to your resume

🎓 Skills You Will Master

Technical Skills

• AI & Machine Learning foundations (classification, regression, clustering)
• Modeling, feature engineering, tuning, prediction
• SQL / Python / SAS for analytics & modeling
• Survival analysis, cross-sell modeling, scorecard building

Industry Knowledge

• Finance: risk scoring, credit analysis
• Telecom & retail: behavior analysis, marketing optimization
• E-commerce & healthcare: lifecycle modeling, forecasting

👥 Who Should Join?

• Career changers: zero-to-one path into data/AI roles
• Students: need real project experience for resumes
• Working professionals: want to deepen modeling & AI skills
• Job seekers targeting finance, e-commerce, consulting

🏁 What You Will Gain

• 6 resume-ready real-world projects
• Master SQL + Python + SAS modeling “three pillars”
• Cross-industry applied skills & business logic
• End-to-end analytical thinking + presentation skills
• Confidence for interviews, case studies, and whiteboard modeling

This bootcamp is your launchpad into data science, machine learning, and AI modeling. Whether your goal is career transition, skill acceleration, or building a strong project portfolio, this program is your most powerful first step into high-value data careers.