Excel for Analysts
Gillian Jackson
3:01:04
Description
Master Excel Skills to Elevate Your Data Analysis and Reporting
What You'll Learn?
- Go from beginner to advanced by using Excel to conduct insightful and powerful analysis. You will boost your confidence in using Excel!
- Create pivot tables, charts, and dashboards in Excel using dynamic functions like VLOOKUP, HLOOKUP, XLOOKUP.
- Use the Maps feature in Excel to analyze customer data by address.
- Unearth the true story behind data to effectively explain to your stakeholders what is happening in the business.
- Use Excel shortcuts to make data analysis easier and faster.
- Use Logic functions like AND, IF, embedded IFs, SUMIFS, AVERAGEIF, COUNTIF + Conditional Formatting, Data Sorting and Filtering.
- Use the features of the Data Analytics toolbar including creating a Histogram and conducting Regression Analysis.
- Use Data validation to force specific data types to be entered in Excel Sheets.
- Use Goal Seek and Scenario Manager to help you run different Scenarios in your Excel Models.
- All the information is broken down into simple steps.
- You will explore different data sets across industries.
Who is this for?
What You Need to Know?
More details
DescriptionCourse 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.
Who this course is for:
- Intermediate Data Analysts or Business Owners who are interested in expanding their skills
- Managers who wish to provide more insightful reports
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.
Who this course is for:
- Intermediate Data Analysts or Business Owners who are interested in expanding their skills
- Managers who wish to provide more insightful reports
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Gillian Jackson
Instructor's Courses
Udemy
View courses Udemy- language english
- Training sessions 33
- duration 3:01:04
- Release Date 2024/04/11