Course Overview:

Data is the backbone of decision-making in today’s businesses. Our Data Analysis Course teaches you how to collect, clean, analyze, and visualize data using industry-standard tools like Excel, Power Query, Power BI, Cobilot and SQL. Whether you’re a beginner or an experienced professional, this course will help you unlock the power of data.

What You’ll Learn:

• Understand the fundamentals of data analysis and its real-world applications.
• Master Excel tables, sorting, filtering, and PivotTables for effective data manipulation.
• Create impactful visualizations using charts and conditional formatting.
• Perform basic data cleaning and preparation tasks to ensure accuracy.
• Gain an introduction to Power BI and its role in modern analytics.
• Automate data preparation and cleaning using Power Query.
• Build dynamic and interactive reports with Power BI Desktop.
• Transition from Excel-based reporting to Power BI for enhanced insights.
• Leverage AI-driven tools like Copilot for automated insights and decision-making.

Course 1: Data Analysis with Excel (Foundation)

Module 1: Excel Essentials for Data Analysis

• Overview of Excel Tables and Their Benefits
• Creating and Formatting Tables for Better Organization
• Sorting and Filtering Data to Identify Trends
• Introduction to Data Cleaning: Handling Missing Data, Removing Duplicates, and Data Validation

Module 2: Data Visualization with Excel

• Explore Chart Types: Bar, Line, Pie, Scatter, and More
• Use Formulas (SUM, AVERAGE, COUNT) to Analyze Data
• Apply Conditional Formatting to Highlight Insights
• Best Practices for Storytelling with Data: Presenting Insights Effectively

Module 3: PivotTables and PivotCharts

• What Are PivotTables? Understanding Their Capabilities
• Creating and Customizing PivotTables for Dynamic Analysis
• Connecting to Different Data Sources (e.g., CSV, Excel Files)
• Calculating Values in PivotTables: Summarizing, Grouping, and Filtering Data
• Creating and Formatting PivotCharts for Visual Insights

Course 2: Data Analysis & Automation with Excel, Power Query, and Power BI (Intermediate)

Module 1: Introduction to Data Analysis

• Overview of Data Analysis and Its Importance
• Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
• Key Roles in Data: Data Analyst, Data Scientist, Business Analyst
• Ethical Considerations in Data Analysis (e.g., bias, privacy)
• Tasks of a Data Analyst: From Data Cleaning to Reporting

Module 2: Modern Data Analytics Using Excel & Power BI

• Benefits of Modern Analytics: Speed, Accuracy, and Scalability
• Ecosystem of Modern Analytics: Excel, Power Query, Power BI
• Roles of Modern Analytics in Organizations: From Reporting to Decision-Making
• Introduction to Power Query and Power BI: Why They Matter

Module 3: Power Query for Data Automation

• Exploring the Power Query User Interface
• Importing Data from Various Sources: Excel, CSV, Databases, APIs, Cloud Storage
• Combining Multiple Files: Appending and Merging Data
• Common Data Challenges and Transformations: Cleaning, Shaping, and Structuring Data
• Practical Exercise: Automate data preparation using Power Query

Module 4: Data Modeling in Power BI

• Introduction to Data Modeling Concepts
• Creating Relationships Between Tables for Seamless Analysis
• Introduction to DAX (Data Analysis Expressions): Key Functions and Syntax
• Creating Calculated Columns and Measures for Advanced Analysis
• Practical Exercise: Build a Data Model in Power BI

Module 5: Building Interactive Reports with Power BI

• Exploring the Power BI Interface: Navigation and Features
• Creating Visualizations: Charts, Maps, Tables, and More
• Adding Filters and Slicers for Enhanced Interactivity
• Designing Dashboards for Business Insights
• Practical Exercise: Create a Dynamic Power BI Report

Module 6: Advanced Power BI Features

• Introduction to DAX for Advanced Calculations: Time Intelligence, Aggregations
• Creating Custom Visuals for Unique Reporting Needs
• Sharing Reports via Power BI Service: Collaboration and Accessibility
• Introduction to AI-Driven Insights with Copilot for Power BI
• Preparing Data for Use with Copilot: Best Practices
• Generating Automated Insights and Reports

Why Choose This Course?

• Real-World Relevance: Learn how these skills are applied in industries like retail, finance, and HR.
• Hands-On Learning: Practical exercises and real-life datasets ensure you’re job-ready.
• Career Advancement: Prepare for roles like Data Analyst, Financial Analyst, or Business Intelligence Analyst.
• AI-Powered Insights: Use Copilot for Power BI to generate automated insights, saving time and improving accuracy.
• Hands-On Exercises: Interactive activities ensure deep understanding and practical application.
• Expert-Led Training: Taught by experienced professionals with real industry insights.
• Comprehensive Resources: Access detailed guides, cheat sheets, and templates.
• Certification: Earn a certificate to showcase your skills to employers.

Who Should Attend?

• Beginners in Data Analysis : Individuals new to working with data or those unfamiliar with Excel's analytical capabilities.
• Administrative Staff : Professionals responsible for organizing, summarizing, and presenting data in spreadsheets.
• Small Business Owners : Entrepreneurs who need to manage finances, inventory, or customer data using basic tools.
• Non-Technical Business Users : Employees who rely on Excel for everyday tasks like reporting, budgeting, or tracking performance.