Course Description
This course is designed for beginners and professionals who want to master data analysis using industry-leading tools. You’ll learn how to analyze, visualize, and interpret data using Python, SQL, Excel, and Power BI.
By the end of this course, you will be proficient in handling real-world data, building dashboards, and making data-driven decisions.
Course Highlights
✔️ Hands-on Projects & Case Studies
✔️ Learn Python, SQL, Excel, and Power BI
✔️ Real-World Business Scenarios
✔️ Quizzes and Assignments
✔️ Certification Upon Completion
Who Should Take This Course?
- Data Analysts & Business Analysts
- Data Scientists & Machine Learning Enthusiasts
- Students & Freshers
- IT Professionals & Managers
Prerequisites
✅ No prior coding experience required
✅ Basic understanding of mathematics & statistics
Course Curriculum
Module 1: Introduction to Data Analysis
🔹 What is Data Analysis?
🔹 Types of Data (Structured, Unstructured)
🔹 Business Applications of Data Analysis
🔹 Data Analysis Lifecycle
Module 2: Data Handling with Excel & Google Sheets
🔹 Working with Large Datasets
🔹 Pivot Tables & Charts
🔹 Data Cleaning & Transformation
🔹 Statistical Analysis in Excel
Module 3: SQL for Data Analysis
🔹 Introduction to Databases & SQL
🔹 Writing SQL Queries (SELECT, WHERE, JOIN)
🔹 Data Aggregation & Filtering
🔹 Advanced SQL: Window Functions, CTEs
Module 4: Python for Data Analysis
🔹 Basics of Python (Variables, Functions, Loops)
🔹 Working with Pandas & NumPy
🔹 Data Wrangling & Cleaning
🔹 Exploratory Data Analysis (EDA)
Module 5: Data Visualization with Power BI & Tableau
🔹 Principles of Data Visualization
🔹 Creating Interactive Dashboards
🔹 Power BI vs Tableau: Which One to Choose?
🔹 Storytelling with Data
Module 6: Statistics & Probability for Data Analysis
🔹 Descriptive vs Inferential Statistics
🔹 Measures of Central Tendency (Mean, Median, Mode)
🔹 Probability Distributions
🔹 Hypothesis Testing
Module 7: Advanced Data Analysis Techniques
🔹 Regression Analysis
🔹 Time Series Forecasting
🔹 Clustering & Segmentation
🔹 Sentiment Analysis
Module 8: Real-World Projects & Case Studies
🔹 Analyzing Business Sales Data
🔹 Customer Segmentation Analysis
🔹 Financial Data Analysis
🔹 Web & Social Media Data Analysis
Course Duration
📅 Duration: 12 Weeks
⏳ Mode: Self-Paced / Instructor-Led
Certification & Assessments
🎓 Certificate of Completion
📝 Assignments & Quizzes
📊 Final Capstone Project
Tools & Software Required
🔹 Microsoft Excel / Google Sheets
🔹 Python (Jupyter Notebook, Pandas, NumPy)
🔹 SQL (MySQL, PostgreSQL)
🔹 Power BI / Tableau
Course Fee & Enrollment
💰 Price: ₹34,999 (or Free for a Limited Time)
📢 Early Bird Discount Available
🚀 Enroll Now & Start Your Data Analysis Journey!