Course Title: Data Analyis

Course Description

This 10-12-week intensive one-on-one physical training is designed to equip students with in-demand data analysis skills using industry-standard tools. Covering Microsoft Excel, Power BI, SQL, and Python (Pandas, NumPy, Matplotlib), students will gain hands-on experience in collecting, cleaning, analyzing, and visualizing data to derive actionable insights.

With two classes per week (2 hours each), students will work on real-world datasets, business case studies, and analytical projects. By the end of the program, learners will be able to confidently work with data, create compelling dashboards, and support data-driven decision-making in any industry.

Expectations At The End of The Program

By the end of this course, students will:

✅ Analyze, clean, and transform datasets using Excel, SQL, and Python

✅ Build interactive dashboards and reports with Microsoft Power BI

✅ Write SQL queries to extract and manipulate data from relational databases

✅ Interpret data to uncover trends, patterns, and actionable insights

✅ Present data findings visually using charts, graphs, and dashboards

✅ Work on real-world business case projects and datasets

✅ Collaborate and share data projects using Git and GitHub

✅ Confidently apply for entry-level roles like Data Analyst, Business Intelligence Analyst, or Reporting Analyst

Course Outline (10 Weeks)

Week 1: Introduction to Data Analysis & Excel Essentials

- Understanding Data Analysis: Importance & Applications

- Data Types, Structures, and Collection Methods

- Excel Fundamentals: Formatting, Formulas & Functions

- Project: Basic Sales Dashboard in Excel

Week 2: Advanced Excel for Data Cleaning & Visualization

- Data Cleaning Techniques in Excel

- Pivot Tables & Charts for Insightful Analysis

- Conditional Formatting & Lookup Functions (VLOOKUP, XLOOKUP)

- Project: Analyze Employee Dataset

Week 3: SQL for Data Querying (Part 1)

- Introduction to SQL & Relational Databases

- Writing Basic SELECT, WHERE, ORDER BY Queries

- Filtering, Sorting & Using Aliases

- Project: Query a Customer Orders Database

Week 4: SQL for Data Querying (Part 2)

- Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)

- GROUP BY, HAVING, and JOINs (INNER, LEFT)

- Subqueries and Data Manipulation (INSERT, UPDATE)

- Project: Perform Business Insight Analysis with SQL

Week 5: Introduction to Power BI

- Power BI Interface & Connecting to Datasets

- Creating Visual Reports & Dashboards

- Data Transformation with Power Query

- Project: Build a Sales Performance Dashboard

Week 6: Power BI Advanced & Data Modeling

- DAX Functions for Advanced Calculations

- Building Relationships Between Tables

- Advanced Visualization Techniques

- Project: Interactive Financial Dashboard

Week 7: Introduction to Python for Data Analysis

- Why Python? Setup & Introduction to Jupyter Notebook

- Python Basics: Variables, Data Types, Lists & Dictionaries

- Loops, Conditionals & Functions

- Project: Analyze Weather Data with Python

Week 8: Python with Pandas & Data Cleaning

- Introduction to Pandas & DataFrames

- Loading, Cleaning, and Manipulating CSV Files

- Handling Missing Data & Grouping

- Project: Clean and Analyze Product Sales Data

Week 9: Data Visualization with Python (Matplotlib & Seaborn)

- Creating Charts: Line, Bar, Pie, Scatter

- Using Seaborn for Statistical Plots

- Styling & Customizing Graphs

- Project: Visualize Survey Results with Python

Week 10: Final Project & Career Preparation

- Final Capstone Project Presentation

- Resume & LinkedIn for Data Analysts

- Interview Questions & Portfolio Review

- Demo Day: Showcase Your Analysis Project

Why Choose Us For This Course?

✅ One-on-One Recorded Physical Classes – Personalized mentorship

✅ Practical Projects – Analyze real-world datasets from business, finance, health, and more

✅ Industry-Standard Tools – Excel, SQL, Power BI, Python, Pandas, and Seaborn

✅ One complete data analysis project with live dashboard presentation

✅ Power BI Cloud Sharing & Report Deployment Guide

✅ Resume/CV improvement support (Data Analyst/Business Analyst-focused)

✅ Certificate of Completion

✅ Career Support – Portfolio creation/review, job interview prep