Excel Data Analysis & Data Management for Business & Careers

Name: Excel Data Analysis & Data Management for Business & Careers
Rating: 3.7 (5 reviews)

Learn Excel Data Analysis, Data Management, Reporting and Dashboards Using Real World Business Examples

Created byMuhammad Riaz Uddin

Last updated 2/2026

English

English [Auto],

What you'll learn

What is Data Analysis and Data Management?
Setting Up Your Workspace (Installing Excel, Power BI Desktop, SQL Server Express, and Access)
Key Concepts in Data Analytics (Data types, sources, quality)
Data Cleaning and Preparation Techniques
Loading and Transforming Data with Power Query
Creating Interactive Dashboards and Reports
Data Cleaning and Preparation Techniques

Course content

1 section • 14 lectures • 1h 37m total length

What is Data Analysis and Data Management?4:53
Master data analysis and data management to turn facts, figures, and text into actionable insights. Use data quality, governance, and tools like Excel and Python to drive smarter decisions.
Setting Up Your Workspace (Installing Excel, Power BI Desktop, SQL Server Expres5:29
Set up your workspace by installing Excel, Access, Power BI Desktop, and SQL Server Express, following step-by-step downloads, installation prompts, and licensing basics.
Key Concepts in Data Analytics (Data types, sources, quality)8:57
Examine data types, sources, and quality in Excel, from structured and unstructured data to internal, external, real-time, and third-party sources, ensuring accuracy and timeliness.
Excel Interface & Data Handling6:48
Discover how to navigate Excel’s interface, name cells, and use formulas, AutoSum, sorting, and filtering to manage data, create charts, and build pivot tables.
Data Cleaning and Preparation Techniques8:37
Learn data cleaning and preparation techniques in Excel by removing duplicates, fixing proper case, handling missing values, and applying trim, filters, and date format for reliable analysis.
Using Formulas and Functions (LOOKUP, IF, TEXT, etc.)7:18
Explore essential excel formulas and functions, including if for conditional output and xlookup for data retrieval, and use text to format numbers and dates for high, mid, and normal customers.
PivotTables and PivotCharts6:09
Use pivot tables and pivot charts to analyze sales by region and category, and learn to create, customize, and visualize data with timelines and quarterly trends.
Data Analysis ToolPak Add-in5:03
Explore Excel's ToolPak add-in to perform regression, descriptive statistics, histogram, ANOVA, and correlation. Unlock it in Excel options by enabling the analysis ToolPak add-in to access these data analysis features.
Introduction to Power Query in Excel11:34
Discover Power Query, Excel’s built-in data cleaning tool that imports, cleans, transforms, and combines data from csv, text, web, or other files without formulas.
Introduction to Power BI Desktop6:09
Introduce Power BI Desktop for data analysis, including import, clean, model with DAX, and visualize data, then publish reports to Power BI Service.
Loading and Transforming Data with Power Query6:11
Transform data with Power Query to clean and standardize CSV data, fix negatives, replace blanks with no info, fill nulls with zero, correct capitalization, and set data types.
Data Modeling Basics (Relationships, Star Schema)8:57
Explore data modeling with a star schema in Excel, linking four tables into a fact and dimension structure, then build dynamic pivot tables through a data model in Power Pivot.
DAX Basics for Calculations and KPIs5:54
Learn DAX basics to create calculated columns, measures, and KPI in Excel, build a data model with PowerPivot, and set a KPI target.
Creating Interactive Dashboards and Reports5:01
Create interactive dashboards in Excel using pivot tables, slicers, timelines, and pivot charts to explore sales data by region and date, with examples showing who sold what and when.

Requirements

No experience needed. You'll learn everything from the beginning.

Description

Excel is one of the most important tools for data analysis and data management in today’s business world. Whether you’re working with reports, tracking performance or making data driven decisions, strong Excel skills can set you apart.

In Excel Data Analysis & Data Management for Business & Careers, you’ll learn how to confidently work with data in Excel—from organizing and cleaning raw data to analyzing it and presenting clear insights.

This course takes a hands-on, practical approach. You won’t just watch lectures—you’ll actively work with real-world business datasets and examples that reflect how Excel is used in professional environments.

What you’ll learn

Organize, clean and manage data efficiently in Excel
Use essential formulas and functions for data analysis
Analyze data using PivotTables and PivotCharts
Create professional reports and dashboards
Apply Excel data analysis skills to real business scenarios
Improve accuracy, productivity, and decision making with data

Why take this course?

Step by step explanations with clear demonstrations
Practical, job-ready skills—not just theory
Real-world examples you can apply immediately
Designed for business and career growth

By the end of this course, you’ll be able to manage data effectively, analyze it with confidence, and turn Excel into a powerful tool for your business and career.

Enroll now and start from today.

Who this course is for:

Beginners who want to build a strong foundation in Excel
Business professionals who work with data and reports
Students preparing for data related or business roles
Anyone looking to improve career focused Excel skills