Companies Home Search Profile

Excel for Analysts

Focused View

Gillian Jackson

3:01:04

15 View
  • 1. Introduction.mp4
    03:03
  • 2. Data Analysis.html
  • 3.1 worldbank extract.csv
  • 3. Navigating Excel.mp4
    01:45
  • 4. Viewing Data.mp4
    04:39
  • 5. Viewing Large Workbooks.mp4
    05:20
  • 6. Printing Large Workbooks.mp4
    04:46
  • 7. Large Worksheets Quiz.html
  • 8.1 Wikipedia Data.xlsx
  • 8. Multiple Worksheets.mp4
    04:12
  • 9. Multiple Worksheets Quiz.html
  • 10.1 SalesData.xlsx
  • 10. Formatting and Filtering Data.mp4
    07:12
  • 11. Formatting and Filtering Data Quiz.html
  • 1.1 ListofExcelFunctions.xlsx
  • 1. Functions Overview.mp4
    03:09
  • 2.1 eCommerce 2.xlsx
  • 2. Logic Functions 1 IF Functions and Embedded IF Functions.mp4
    03:46
  • 3. Logic Functions.html
  • 4. Logic Functions 2 SUMIFs, AVERAGEIFs, COUNTIFs, OR, AND, NOT.mp4
    08:50
  • 5. Working With Dates.mp4
    06:07
  • 6. Dates.html
  • 7.1 Register.xlsx
  • 7. TEXT Functions.mp4
    05:34
  • 8. TEXT Functions Part 2.mp4
    03:59
  • 9. TEXT Functions Part 3.mp4
    00:59
  • 10. Text Functions.html
  • 11.1 Functions.xlsx
  • 11. Absolute Referencing.mp4
    04:42
  • 12. Absolute Referencing.html
  • 13. HLOOKUP , VLOOKUP and XLOOKUP.mp4
    06:42
  • 14. INDEX + MATCH.mp4
    04:38
  • 15. HLOOKUP , VLOOKUP and XLOOKUP , INDEX + MATCH.html
  • 1. Intro to Data Tools.mp4
    01:13
  • 2.1 Functions.xlsx
  • 2. Scenario Manager.mp4
    02:38
  • 3. Goal Seek.mp4
    01:06
  • 4. Data Validation.mp4
    03:47
  • 5. Scenario Manager, Goal Seek and Data Validation.html
  • 6.1 GrossProfit.xlsx
  • 6. Cell References, Trace Precedents and Dependents and Watch Window.mp4
    06:07
  • 7. Cell References, Trace Precedents and Dependents and Watch Window.html
  • 8. Formatting Tables.mp4
    07:57
  • 9. Pivot Tables.mp4
    13:40
  • 10.1 World Athletic Top 100 M Men.html
  • 10. Importing Data from the Web to Create Tables and Pivot Tables.mp4
    04:28
  • 11. Tables and Pivot Tables.html
  • 12. Charts Part 1.mp4
    06:44
  • 13.1 StudentData.xlsx
  • 13. Charts Part 2.mp4
    06:35
  • 14. Charts.html
  • 15. Analysis Toolpack - Histograms.mp4
    08:54
  • 16. Analysis Toolpack - Regression.mp4
    05:57
  • 17. Analysis Toolpack.html
  • 1.1 StudentData.xlsx
  • 1. Introduction to Dashboards.mp4
    02:20
  • 2. Dashboard Setup.mp4
    12:59
  • 3. Creating a Dashboard.mp4
    12:26
  • 4. Creating Slicers and Conditional Formatting in a Dashboard.mp4
    04:50
  • 5. Dashboards Quiz.html
  • 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?


  • Intermediate Data Analysts or Business Owners who are interested in expanding their skills
  • Managers who wish to provide more insightful reports
  • What You Need to Know?


  • Previous experience with Excel would be beneficial but if not you will still learn alot!
  • More details


    Description

    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

    User Reviews
    Rating
    0
    0
    0
    0
    0
    average 0
    Total votes0
    Focused display
    Category
    Gillian Jackson
    Gillian Jackson
    Instructor's Courses
    Over 17 years working in the financial sector and 18+ years conducting analysis. Lead for Data and Analytics for a major financial conglomerate and Co-founder and Chief Operating Officer for an e-learning company. Certified in Advanced Microsoft Excel, proficient in Python and statistical querying. I conduct training in Excel from beginner to advanced and can help you in improving your analytical skills!
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 33
    • duration 3:01:04
    • Release Date 2024/04/11