Course Details

Courses Descriptions

📝 Long Description:

🌟 Unlock Your Career in Data with Our All-in-One Data Analyst Program!

This 5-month intensive course is designed to make you a complete, job-ready Data Analyst – even if you're starting from scratch. Through structured pre-recorded video content, hands-on practice, real-world case studies, and resume-ready projects, you'll learn the most in-demand tools and techniques used by data professionals worldwide.

You'll start with Excel, the foundation for analysis, then move to SQL to query databases like a pro. With Python, you’ll clean, analyze, and visualize data, then master Power BI to create stunning dashboards. You’ll also gain skills in statistics, business understanding, and data storytelling, which are critical for driving decisions with data.

Whether you're aiming for a new career, a promotion, or freelancing opportunities, this course equips you with everything you need to thrive in the modern data world.

✅ Beginner-Friendly to Pro-Level
✅ Pre-recorded, Self-Paced Lessons
✅ 8+ Real-World Projects
✅ Interview Preparation & Resume Support
✅ Certificate of Completion

📚 Course Curriculum Breakdown:

📘 Module 1: Introduction to Data Analysis & Business Intelligence

• What is Data Analysis?

• Role & Responsibilities of a Data Analyst

• Overview of BI Tools & Data Ecosystem

• Types of Data & Industries That Use Data Analytics

📘 Module 2: Mastering Excel for Data Analysis

• Excel Basics to Advanced

• Pivot Tables & Pivot Charts

• VLOOKUP, HLOOKUP, INDEX-MATCH

• Data Cleaning & Validation

• Conditional Formatting & Dashboards

• Excel Project: Sales & Marketing Analytics

📘 Module 3: SQL for Data Analytics

• Introduction to Databases & SQL

• SELECT, WHERE, ORDER BY, GROUP BY

• JOINS (INNER, LEFT, RIGHT, FULL)

• Window Functions & Subqueries

• Data Aggregation & Filtering

• SQL Project: Business Insights from E-commerce Database

📘 Module 4: Python for Data Analysis

• Python Basics for Data Professionals

• Working with Pandas & Numpy

• Data Cleaning & Transformation

• Data Visualization using Matplotlib & Seaborn

• Exploratory Data Analysis (EDA)

• Python Project: Customer Churn Analysis

📘 Module 5: Data Visualization with Power BI

• Power BI Interface and Workflow

• Loading & Transforming Data (Power Query)

• Creating Interactive Dashboards

• DAX Functions for Custom Calculations

• Publishing Reports & Sharing Insights

• Power BI Project: Financial Dashboard for Stakeholders

📘 Module 6: Statistics & Data Interpretation

• Descriptive vs. Inferential Statistics

• Mean, Median, Mode, Standard Deviation

• Probability Basics & Hypothesis Testing

• A/B Testing and Business Applications

• Data-Driven Decision Making

📘 Module 7: Case Studies & Domain-Specific Projects

• Retail: Sales Performance Analysis

• Finance: Profitability Dashboard

• HR: Attrition & Employee Data Insights

• Healthcare: Patient Data Analytics

• Final Capstone Project: End-to-End Data Analysis Report

📘 Module 8: Resume, Portfolio & Interview Prep

• Building a Data Analyst Resume & GitHub Portfolio

• Key Interview Questions & Case Study Practice

• LinkedIn Optimization for Job Search

• Freelancing & Project Pitching Guidance

🎯 Tools You Will Learn:

• Excel, Power BI

• SQL (MySQL/PostgreSQL)

• Python (Jupyter Notebook, Pandas, Numpy, Matplotlib, Seaborn)

• GitHub, Google Sheets, Google Data Studio .