
This segment will provide you with an overview of the course. Students will have an understanding of the objectives and learn the 5 steps in data analysis.
Extract from the World Bank 's World Development Indicators.
Learn to view large workbooks by freezing panes for the top row or left columns and using split to display multiple quadrants for simultaneous scrolling.
How to print large worksheets.
This is a list of the Excel Functions.
This ecommerce data was sourced from the UCI Machine Learning Repository.
Learn about the following date functions:
- YEARFRAC
- MONTH
- DAYS
- NETWORKDAYS
Learn about TEXT Functions:
- CONCATENATE
-TRIM
-LEN
-FIND
-PROPER
Learn how to use TEXT to COLUMNS, Highlight Duplicates and Remove Duplicates
Learn About Flash Fill
Master hlookup, vlookup, and xlookup to retrieve exchange rates, use index and match, and apply absolute references with f4 for reliable analysts’ lookups.
Learn how to use the Scenario Manager to assess different scenarios in your data.
Apply goal seek to set cell C29 to a 5,000 monthly payment by changing the amount financed in C26, showing the principal rise from 900,000 to 1.265 million.
Enforce data validation for positive decimal values, customize error messages, and apply list validation for currencies and categories with drop-downs; observe sums update by category.
Learn more about how to import data tables from the web.
Click the link to import the URL into your Excel sheet.
Learn to create Excel charts and sparklines for student data: funnel charts for score range versus activities, clustered bars by age and grade, and sparklines for registrations by gender.
Enable the analysis Toolpak in Excel and use the histogram tool to group data into bins, select inputs and labels, and turn results into a chart.
Explore regression analysis in Excel using the analysis toolpak to predict grades from age, interpreting r squared, p value, and the y equals mx plus c form.
Students will be able to effectively design, construct, and implement interactive dashboards using Excel, leveraging key features such as pivot tables, charts, and advanced formulas. They will gain proficiency in analyzing and visualizing complex datasets, specifically by applying these skills to create a comprehensive, user-friendly dashboard using the provided 'StudentData' Excel spreadsheet. This objective will be achieved through hands-on exercises, to apply these skills in diverse professional contexts.
Learn to clean and prepare student data in Excel for dashboard: fix formatting, remove duplicates, handle blanks and dates, and build pivot tables to summarize enrollment, days absent, and grades.
Build a dynamic dashboard with charts and pivot charts to deliver real time insights from student data, including grade averages, gender visuals, and slicer-driven analyses.
Course Description: Excel for Analysts
Section 1: Introduction to Large Worksheets
Lecture 1: Introduction (Preview enabled) - Get acquainted with the basics of handling large worksheets in Excel, setting the foundation for advanced data analysis.
Lecture 2: Navigating Excel - Learn efficient ways to navigate through large datasets in Excel.
Lecture 3: Viewing Data - Techniques for effectively viewing and interpreting data.
Lecture 4: Viewing Large Workbooks - Strategies for managing and navigating large Excel workbooks.
Lecture 5: Printing Large Workbooks - Master the nuances of printing large and complex Excel workbooks.
Lecture 6: Multiple Worksheets - Understand the dynamics of working with multiple worksheets and how to link them effectively.
Lecture 7: Formatting and Filtering Data - Learn advanced techniques in formatting and filtering data for clearer analysis.
Section 2: Functions
Lecture 8: Functions Overview - An introduction to the vast array of functions available in Excel.
Lecture 9: Logic Functions 1 - Dive into IF functions and embedded IF functions.
Lecture 10: Logic Functions 2 - Explore SUMIFs, AVERAGEIFs, COUNTIFs, and logical operators like OR, AND, NOT.
Lecture 11: Working With Dates - Master the complexities of handling dates in Excel.
Lecture 12-14: TEXT Functions Parts 1-3 - A three-part series delving deep into the TEXT functions of Excel.
Lecture 15: Absolute Referencing - Understand the importance and application of absolute referencing in Excel.
Lecture 16: HLOOKUP, VLOOKUP, and XLOOKUP - Learn the key lookup functions for data analysis.
Lecture 17: INDEX + MATCH - Advanced techniques combining INDEX and MATCH functions for sophisticated data retrieval.
Section 3: Data Tools
Lecture 18: Intro to Data Tools - Introduction to various data tools available in Excel for advanced analysis.
Lecture 19: Scenario Manager - Learn to use the Scenario Manager for forecasting and analysis.
Lecture 20: Goal Seek - Master the Goal Seek function for solving equations and achieving target values.
Lecture 21: Data Validation - Techniques for ensuring data integrity through validation.
Lecture 22: Cell References, Trace Precedents and Dependents, and Watch Window - Explore advanced features for tracking and analyzing data relationships.
Lecture 23: Formatting Tables - Learn to format tables for better readability and analysis.
Lecture 24: Pivot Tables - Comprehensive guide to creating and manipulating pivot tables.
Lecture 25: Importing Data from the Web - Techniques for importing web data to create tables and pivot tables.
Lecture 26-27: Charts Parts 1 and 2 - A two-part series on creating and customizing charts for data visualization.
Lecture 28: Analysis Toolpack - Histograms - Utilize the Analysis Toolpack for creating histograms.
Lecture 29: Analysis Toolpack - Regression - Learn regression analysis using Excel's Analysis Toolpack.
This course is designed to equip analysts with a comprehensive understanding of Excel's capabilities, ensuring proficiency in data handling, analysis, and reporting.