Complete Data Analysis & Projects with Microsoft Excel
About Course
Course Description:
Data is transforming the way organizations operate, make decisions, and plan for the future — and professionals who can translate data into actionable insights are in high demand. The Complete Data Analysis & Projects with Microsoft Excel course is a comprehensive, end-to-end training program designed to help learners build both the technical foundation and real-world experience needed to excel as data analysts.
This course combines two powerful learning paths — Data Analysis with Microsoft Excel and Data Analysis Projects with Microsoft Excel — to deliver a well-rounded, hands-on experience. You’ll begin by mastering Excel’s essential tools and advanced analytics features, then progress to executing real-world industry projects that simulate practical business challenges.
From data cleaning and transformation to dashboard creation and automation with AI, you’ll gain the skills to confidently handle complex datasets, visualize insights, and communicate results effectively. By integrating theory with real-life application, this course bridges the gap between academic knowledge and workplace readiness — giving you the experience employers look for.
What You’ll Learn:
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Excel fundamentals and data analysis workflow
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Advanced Excel functions for business and analytics (LOOKUPs, IFs, INDEX-MATCH, DAX, etc.)
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Data cleaning, preparation, and transformation with Power Query
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Exploratory data analysis using PivotTables, charts, and conditional formatting
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Power Pivot for data modeling and KPI measurement
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Dashboard design and interactive data visualization
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Automation of repetitive tasks using Macros, VBA, and Excel Copilot (AI)
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Real-world case studies in HR, Sales, Marketing, Finance, and Operations
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End-to-end project execution: from data collection to storytelling and reporting
Hands-on Projects Include:
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HR analytics: employee turnover and performance analysis
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Sales and marketing dashboards
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Operations and supply chain forecasting
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Financial trend analysis and reporting automation
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Capstone project integrating all course concepts
Key Features:
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Two-in-one curriculum combining structured learning and project-based experience
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Step-by-step practical sessions with real datasets
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Mentorship and guided projects
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Industry-based case studies across multiple business domains
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Certificate of completion to validate your professional skillset
Who Should Enroll:
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Students, graduates, or professionals seeking to become proficient data analysts
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Business and finance professionals aiming to improve their data-driven decision-making
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Individuals transitioning into analytics or business intelligence roles
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Anyone who wants to learn how to turn data into insights using Excel
Course Level: Beginner to Advance
Mode of Learning: Hands-on, project-based
Primary Tool: Microsoft Excel
Learning Outcome:
By the end of this comprehensive program, learners will have mastered modern data analysis with Microsoft Excel and completed multiple real-world projects, gaining the confidence, skill, and portfolio to perform as industry-ready data analysts.
What Will You Learn?
- Excel fundamentals and data analysis workflow
- Advanced Excel functions for business and analytics (LOOKUPs, IFs, INDEX-MATCH, DAX, etc.)
- Data cleaning, preparation, and transformation with Power Query
- Exploratory data analysis using PivotTables, charts, and conditional formatting
- Power Pivot for data modeling and KPI measurement
- Dashboard design and interactive data visualization
- Automation of repetitive tasks using Macros, VBA, and Excel Copilot (AI)
- Real-world case studies in HR, Sales, Marketing, Finance, and Operations
- End-to-end project execution: from data collection to storytelling and reporting
Course Content
Module 1: Introduction to Data Analysis & Excel Fundamentals
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1.1 Introduction to Data Analysis
22:35 -
1.2 Introduction to Microsoft Excel – Excel interface and navigation essentials
22:24 -
1.3 Data Types in MS Excel
08:24 -
1.4 Data Entry in Ms Excel
09:07 -
1.5 Formatting I
10:03 -
1.6 Formatting II
09:29 -
1.7 Formatting III – Conditional Formatting I
08:03 -
1.8 Formatting III – Conditional Formatting II
07:08 -
1.9 Structured Datasets
02:47 -
1.10 Unstructured Datasets
03:59 -
1.11 Protecting a Sheet
08:09 -
1.12 Protecting a Document
04:01 -
1.13 Printing an Excel Document
11:12 -
Download Learning Resources
Module 2: Essential Excel Functions for Analysis
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2.1 Number Functions I
19:06 -
2.2 Number Functions II
17:08 -
2.3 Consolidation
09:29 -
2.4 Logical Functions I – IF, SUMIF, COUNTIF
16:45 -
2.5 Logical Functions II – IFS, SUMIFS, COUNTIFS, MAXIFS, AND, OR
18:30 -
2.6 TEXT Functions
14:52 -
2.7 Time and Date Functions I
09:25 -
2.8 Time and Date Functions II
12:05 -
2.9 Time Intelligence Functions
17:19 -
2.10 Lookup Functions – HLOOKUP, VLOOKUP XLOOKUP
10:27 -
2.11 Lookup Functions – INDEX AND MATCH
08:25 -
2.12 Lookup Functions – WILDCARDS
06:26 -
2.13 Error Handling Functions
07:49 -
2.14 Lookup Functions – Multiple VLOOKUP
06:13 -
2.15 Other Data Analysis Functions
13:46
Module 3: Data Cleaning & Preparation (ETL in Excel)
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3.1 Removing Duplicates
04:51 -
3.2 Removing Blank Rows
08:17 -
3.3 Removing Blank Columns
06:53 -
3.4 Text to Columns
05:19 -
3.5 Find and Replace
02:59 -
3.6 Data Validation I
16:52 -
3.7 Data Validation – Custom Formula
19:03 -
3.8 Searchable Dropdown List
09:10 -
3.9 Handling Missing and Inconsistent Records
06:19 -
3.10 Introduction to Power Query
24:14
Module 4: Exploratory Data Analysis (EDA)
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4.1 EDA – Sorting
08:16 -
4.2 EDA – Filtering
08:23 -
4.3 Table – Slicers
06:03 -
4.4 Advance Filters
08:37 -
4.5 Pivot table for Data Analysis I
22:01 -
4.6 Pivot table for Data Analysis II
21:53
Module 5: Advanced Excel Tools for Data Analysis
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5.1 Power Query – Data Cleaning
07:32 -
5.2 Power Query – Transformation
06:00 -
5.3 Power Query – Transpose
01:35 -
5.4 Power Query – Unpivot
02:43 -
5.5 Data Scraping with Power Query
07:22 -
5.6 Multiple Files Combination – Append
13:18 -
5.7 Multiple Files Combination – Merge
07:19 -
5.8 Group and Aggregate
03:22 -
5.9 M Language in Power Query
05:17 -
5.10 Data Normalization I
06:20 -
5.11 Data Normalization II
14:06 -
5.12 Data Modeling
08:49 -
5.13 What IF Analysis – Scenario Manager
10:36 -
5.14 What IF Analysis – Goal Seek and Solver
13:18 -
5.15 What IF Analysis – Data Table
08:05
Module 6: Data Visualization & Dashboards
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6.1 Introduction to Visualizations
10:41 -
6.2 Visualization – Pie Charts and Donought Chart
14:44 -
6.3 Visualization – Column Chart and Bar Chart
05:48 -
6.4 Visualization – Funnel Chart
04:58 -
6.5 Visualization – Waterfall Chart
04:15 -
6.6 Visualization – Line Chart
08:12 -
6.7 Visualization – Cards
14:42 -
6.8 Interactive Dashboard
25:55 -
6.9 Executive Summary
08:30
Module 7: Excel Automation with Macros & AI
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7.1 Introduction to Macros and VBA
09:35 -
7.2 Recording a Macro
13:47 -
7.3 Automating Repetitive Task
11:10 -
7.4 Generating Excel Macros with AI – I
13:55 -
7.5 Generating Excel Macros with AI – II
10:01
Module 8: Real-World Business Applications
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8.1 Sales Performance – Descriptive Analysis
30:25 -
8.2 Sales Analysis – Diagnostic and Performance Monitoring
34:19 -
8.3 Sales Analysis – Predictive and Prescriptive Insights
18:02
Module 9: Capstone Project and Certification
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9.1 Capstone Project
03:33
End to End Data Analysis Projects with Microsoft Excel
Data Analysis Projects with Microsoft Excel
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Introduction
04:33 -
Project Resources
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1. The Bosh Sales Agency – Data Cleanup
10:17 -
2. Customer Contact Details – Data Cleaning
24:19 -
3. Friend Request Data Cleaning Task
09:46 -
4. Dataset Reconciliation Request
19:42 -
5. Late Submission Analysis
18:25 -
6. Population Data Extraction and Analysis – Nigerian States
27:22 -
7. Sales Data Analysis for Rocry Shopping Company
34:30 -
8. Bank Reconciliation Exercise
16:13 -
9. Employee Data Adjustment – Madox Cooperation
32:43 -
10. Mini Super Store Data Analysis
42:37 -
11. Student Performance Analysis Report – School XYZ
01:17:36 -
12. Sales Transaction Data Analysis
36:16 -
13. Supplier Transaction Record Template Design
01:10:27 -
14. Sales Data Executive Reporting
54:13 -
15. Kracks Consultant & Infrastructure
24:20 -
16. Quick Job Applicant Data Cleaning
13:51 -
17. McSmith Recruiting Services – Candidate Selection Analysis
17:53 -
18. UK Excel Assessment for Data Analyst Role
32:52 -
19. Kace Communications – Mast Code Extraction
10:30 -
20. Credit Card Spending Habits in India
51:03 -
21. RushTech Financials
48:41 -
22. LayKon Designs & Research Institute
32:28 -
23. Flourish Fish Farms – Sales Automation & Dashboard
59:13 -
24. Tunia Technologies – Sales & Performance Dashboard
52:04 -
25. GreenBrew Ltd Financial Analysis
58:23 -
26. Creating your Data Analysis Portfolio
01:16:24 -
27. Professional CV and Cover Letter
08:21 -
28. LinkedIn Optimization
22:30
Business Intelligence with Power BI
A complete Data Analysis & Business Intelligence mastery course with Power BI Desktop
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1. Introduction, Download & Installation of Power BI Desktop
00:00 -
2. File Upload & Background Formatting
14:18 -
3. Formatting & Exporting a Chart
14:42 -
4. Formatting, Measures & Units
11:43 -
5. Power BI Charts 1
14:56 -
6. Power BI Cards
00:00 -
7. Power BI Slicer
00:00 -
8. International Distilleries Limited Business Report 1
00:00 -
9. International Distilleries Limited Business Report 2
00:00 -
10. Building a Business Report with DAX
00:00 -
11. Building a Business Report with DAX 2
00:00 -
12. Building a Business Report with DAX 3
00:00 -
13. Building a Report (Data Modeling & DAX)
00:00 -
14. Building a Report (Data Modeling & DAX) 2
00:00 -
15. Building a Report (Data Modeling & DAX) 3
00:00 -
16. Data Cleaning; Rocry Business Report 1
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17. Data Cleaning; Rocry Business Report 2
00:00 -
18. Creating a Power BI Corporate Account
00:00 -
19. Publishing Report
00:00 -
20. Advance Chart & Publishing Report
00:00 -
21. Power BI Microsoft Authenticator
10:22
Power BI DAX & Projects
A complete Power BI DAX training
-
1.1 Introduction to Power BI DAX
00:00 -
1.2 Basic Date Functions in Power BI DAX 1
00:00 -
1.3 Basic Date Functions in Power BI DAX 2
00:00 -
1.4 Basic Date Functions in Power BI DAX 3
00:00 -
1.5 Basic Date Functions in Power BI DAX 4
00:00 -
1.6 Basic Date Functions in Power BI DAX 5
00:00 -
2.7 Aggregate Functions I
00:00 -
2.8 Aggregate Functions II
00:00 -
3.9 Logical Function (IF)
00:00 -
3.10 Logical Function (IFERROR)
06:58 -
3.11 Logical Functions (AND OR)
00:00 -
4.12 Data Cleaning 1
00:00 -
4.13 Data Cleaning 2
00:00 -
4.14 Data Cleaning 3
00:00 -
5.15 Data Cleaning With Power BI Power Query 1
00:00 -
5.16 Data Cleaning With Power BI Power Query 2
00:00 -
5.17 Data Cleaning With Power BI Power Query 3
00:00 -
5.18 Data Cleaning With Power BI Power Query 4
00:00 -
6.19 Calculate 1(Count & Sum)
13:51 -
6.20 Calculate 2( Count & Profit)
00:00 -
6.21 Calculate 3 (Date Difference)
00:00 -
6.22 Calculate 4 ( Qtrs, Not Equal)
00:00 -
6.23 Time Intelligence Function 1(Between Dates & MTD)
00:00 -
6.24 Time Intelligence Function 2 ( QTD & YTD)
00:00 -
6.25 Time Intelligence Function 3(Checking answers)
00:00 -
7.26 Data Modeling 1
00:00 -
7.27 Data Modeling 2
00:00 -
7.28 Data Modeling 3
00:00
Power BI Internship
End-to-end project internship with Power BI
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Project 1Krest Recruitment I
14:28 -
Project 1 Krest Recruitment II
14:45 -
Project 1 Krest Recruitment III
13:03 -
Project 2 The London Metal Exchange I
13:26 -
Project 2 The London Metal Exchange II
14:31 -
Project 3 – AK Technology I
13:52 -
Project 3 – AK Technology II
07:29 -
Project 4 – Presh Technology I
14:44 -
Project 4 – Presh Technology II
00:00 -
Project 5 Sales Transaction Data Analysis 1
13:53 -
Project 5 Sales Transaction Data Analysis 2
15:00 -
Project 6 Norlands e-Commerce Store 1
14:49 -
Project 6 Norlands e-Commerce Store 2
09:28 -
Project 7 Sales Data Executive Reporting 1
14:31 -
Project 7 Sales Data Executive Reporting 2
11:37 -
Project 8 Shopping Analysis of Istanbul 1
15:03 -
Project 8 Shopping Analysis of Istanbul 2
14:05 -
Project 8 Shopping Analysis of Istanbul 3
08:47 -
Project 9 RushTech Financials 1
15:03 -
Project 9 RushTech Financials 2
07:18 -
Project 10 African Population by Sub Region 1
09:38 -
Project 10 African Population by Sub Region 2
14:16 -
Project 10 African Population by Sub Region 3
11:42 -
Project 20 – Skibs Enterprise
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Project 21 – Freelance Gig (4 Projects)
Database Management with MySQL
A complete beginner to advance mastery course on database analysis and management with MySQL
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1.1 Course Introduction
04:23 -
1.2 Download & Installation of MySQL
06:04 -
1.3 The Workbench Overview
00:00 -
1.4 The SELECT Statement
00:00 -
1.5 The Select Clause
10:38 -
1.6 The WHERE Clause
07:08 -
1.7 The ORDER BY Clause
06:16 -
1.8 The LIMIT Clause
03:32 -
1.9 The AND, OR and NOT Operator
00:00 -
1.10 The IN Operators
04:51 -
1.11 The BETWEEN Operator
02:55 -
1.12 The LIKE Operator
12:12 -
1.13 The REGEXP Operator
14:04 -
1.14 The NULL Operator
03:48 -
1.15 Inner Join
14:03 -
1.16 Joining Across Database
00:00 -
1.17 Self Join
00:00 -
1.18 Joining Multiple Tables
14:25 -
1.19 Outer joins
09:10 -
1.20 Outer Joins Between Multiple Tables
10:31 -
1.21 Self Outer Join
02:21 -
1.22 The USING Clause
00:00 -
1.23 Natural and Cross Joins
07:44 -
1.24 Unions
00:00 -
1.25 Inserting a Single Row(Column Attributes)
16:42 -
1.26 Inserting a Multiple Rows
06:01 -
1.27 Create a Copy of a Table
08:45 -
1.28 Updating a Single Row
00:00 -
1.29 Updating a Multiple Rows
05:44 -
1.30 Exporting Query Output
11:27 -
2.31 Creating a Database and Table
15:20 -
2.32 Importing Excel file to MySQL Database
00:00 -
2.33 SubQueries in MySQL
07:13 -
2.34 SubQuery across tables
06:09 -
2.35 VIEWS in MySQL Part 1
11:13 -
2.36 VIEWS in MySQL Part 2
11:32 -
2.37 Stored Procedure 1
06:43 -
2.38 Stored Procedure 2
05:01 -
2.39 Stored Procedure 3
07:34 -
2.40 Trigger in MySQL
09:12 -
2.41 Introduction to Function in MySQL
06:56 -
2.42 String Functions in MySQL
00:00 -
2.43 The Number Function in MySQL
00:00 -
2.44 The Date Functions in MySQL
09:35 -
2.45 Aggregate Function in MySQL
Database Management Internship with MySQL
An end-to-end project based internship in database management with MySQL
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1. Create a Schema
00:00 -
2. Database Administrator Quick Test
00:00 -
3. Google Form Form Response
00:00 -
4. HR Records
00:00 -
5. Customer Details Task 1
00:00 -
6. Customer Details Task 2
00:00 -
7. Employee Data Task 1
00:00 -
8. Employee Data Task 2
00:00 -
9. Employee Data Task 3
21:15 -
Interview Questions
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11. Combining Tables
00:00 -
12. Sales Transaction Analysis – Loses
00:00 -
13. Transaction Details – Manager Analysis
00:00 -
14. Transaction Details – Returned Analysis
00:00 -
15. Rush Tech Financials
00:00 -
16. Credit Card Analysis
00:00 -
17. Skibs Enterprise
00:00
Data Analysis with Python Programming
A complete data analysis mastery course with Python Programming
-
1. Download and Installation (Python & PyCharm)
05:00 -
2. Introduction to python programming
12:15 -
3. Getting Inputs
12:33 -
4. Download and Installation of Anaconda
07:11 -
5. Working with Jupyter Notebook
06:58 -
6. Data Types
08:01 -
7. Variables
11:56 -
8. List
14:16 -
9. Sorting a List
04:50 -
10. Intro to Data Analysis with Pandas(Loading Data)
09:11 -
11. Basic Tips on Dataset with Pandas
14:07 -
12. Creating Columns and Saving Worked File
07:33 -
13. Result Analysis with Python
13:52 -
14. Percentages
18:04 -
15. Date Functions
11:15 -
16. Filters
14:17 -
17. Multiple Condition Filtering
20:39 -
18. Pivot Table
13:33 -
19. Sorting the Index (Month) Column
06:58 -
20. Introduction to Charts (Bar Chart)
09:53 -
21. Introduction to Charts(Pie)
05:21 -
22. Charts from Pivot Table
08:28 -
23. Line and Area Chart _ Saving
03:14 -
24. Project Work A
13:40 -
25. Project Work B
16:59 -
26. Project Work C
11:19
Business Intelligence with Tableau Desktop
A complete course on Business intelligence with Tableau Desktop
-
1. Tableau Desktop Intro
15:01 -
2. Tableau Desktop Public Installations
11:05 -
3. Tableau Data Types & Interface
07:48 -
4. Formatting Measures
12:51 -
5. Formatting Measures 2
10:10 -
6. Tableau Filters
13:23 -
7. Tableau Charts 1
10:57 -
8. Tableau Charts 2
14:54 -
9. Tableau Charts 3
15:02 -
10. Tableau Mark Cards
14:13 -
11. Tableau Formatting
13:06 -
12. If Statement
14:14 -
13. Tableau Calculation (Count, CountD, CountIF)
13:27 -
14. Tableau Calculation – SumIF, SumIFS
10:05 -
15. Tableau Calculation – Date Yr, Mnt, Qtr
11:25 -
16. Tableau Calculation – Date Functions
10:20 -
17. Tableau Calculation – String
14:50 -
18. Tableau Calculation – String Split
11:53 -
19. Tableau Dashboard 1
14:12 -
20. Tableau Dashboard 2
14:51 -
21. Tableau Dashboard 3
15:03 -
22. AK Dashboard 1
14:43 -
23. AK Dashboard 2
15:02 -
24. AK Dashboard 3
00:00 -
25. Global Sales Dashboard 1
14:46 -
26. Global Sales Dashboard 2
14:56 -
27. Global Sales Dashboard 3
14:53