About Course
Master Excel, Python, SQL, ML, DL, Tableau & Power BI with 289+ hours immersive learning.
🚀 Program Overview
Applied Statistics with the Power of Data Science — 289-hour comprehensive journey: foundational statistics, Excel, Python, SQL, Machine Learning, Deep Learning, Tableau & Power BI. From raw data to business insights. Includes live sessions, capstone projects, and portfolio building (GitHub/Kaggle).
🎯 Program Objectives
Empower with complete data science & analytics skills: statistical modeling, visualization, predictive analytics, ML/DL. Build expertise to drive data‑informed business strategies.
📘 Program Curriculum (8 Core Domains)
– Advanced Excel
– Statistics
– Python
– SQL
– Machine Learning
– Deep Learning
– Tableau
– Power BI
🛠️ Tools Covered
Excel, Python, NumPy, Pandas, Matplotlib, Seaborn, SQL, Tableau, Power BI, Jupyter, GitHub, Kaggle
🎯 Skills Covered
– Data Cleaning, Wrangling & Analysis
– Statistical Analysis & Hypothesis Testing
– Python for Data Science
– SQL Querying & DB Management
– ML Model Building & Evaluation
– Deep Learning Fundamentals
– Data Visualization & Dashboard Design
– BI Reporting (Tableau & Power BI)
⚡ Key Highlights
– 289+ Total Learning Hours: Blended learning (live + self-paced + projects).
– 8+ Real-World Projects: Build a strong portfolio with guided mentorship.
– Industry-Ready Skills: Focus on GitHub, Kaggle, and LinkedIn portfolio building.
– Career Focus: Job-ready for Data Analyst / Scientist roles.
Industry Validated | Placement Assistance | Live Mentorship
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