Technology and the data that it both collects and makes accessible is now interwoven with businesses and lives. The era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.
Analyzing data to find issues, insights, and opportunities is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways.
Microsoft® Excel® is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis, and create diverse and robust data-backed visualizations to show insights and trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action.
Instructor did a great job, from experience this subject can be a bit dry to teach but he was able to keep it very engaging and made it much easier to focus.
Excellent presentation skills, subject matter knowledge, and command of the environment.
Instructor was outstanding. Knowledgeable, presented well, and class timing was perfect.
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To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and functions. You can obtain this level of knowledge and skill by taking the following or any similar equivalent Logical Operations course:
Microsoft® Excel® for Office 365™ (Desktop or Online): Part 1
Detailed Class Syllabus
Lesson 1: Data Analysis Fundamentals
Topic A: Introduction to Data Science
Topic B: Create and Modify Tables
Topic C: Sort and Filter Data
Lesson 2: Visualizing Data with Excel
Topic A: Visualize Data with Charts
Topic B: Modify and Format Charts
Topic C: Apply Best Practices in Chart Design
Lesson 3: Analyzing Data with Formulas and Functions
Topic A: Analyze Data with Formulas and Named Ranges
Topic B: Analyze Data with Functions
Topic C: Implement Data Validation, Forms, and Controls
Topic D: Create Conditional Visualizations with Lookup Functions
Lesson 4: Analyzing Data with PivotTables
Topic A: Create a PivotTable
Topic B: Analyze PivotTable Data
Lesson 5: Presenting Visual Insights with Dashboards in Excel
Topic A: Visualize Data with PivotCharts
Topic B: Filter Data Using Slicers and Timelines
Topic C: Create a Dashboard in Excel
Lesson 6: Creating Geospatial Visualizations with Excel
Topic A: Create Map Charts in Excel
Topic B: Customize Map Charts in Excel
Lesson 7: Performing Statistical Analysis
Topic A: Visualize Trendlines and Sparklines with Excel
Topic B: Analyze Data with the Data Analysis ToolPak
Lesson 8: Getting and Transforming Data
Topic A: Connect to Data with Queries
Topic B: Clean and Combine Data
Topic C: Shape and Transform Data
Lesson 9: Modeling and Analyzing Data with Power Pivot
Topic A: Install Power Pivot in Excel
Topic B: Create Data Models with Power Pivot
Topic C: Create Power Pivots
Topic D: Perform Advanced Data Analysis and Visualization
Lesson 10: Presenting Insights with Reports
Topic A: Plan a Report
Topic B: Create a Report