Microsoft Excel Crash Course for Business Analysts

Microsoft Excel Crash Course for Business Analysts, available at $89.99, has an average rating of 4.61, with 138 lectures, 5 quizzes, based on 585 reviews, and has 8878 subscribers.

You will learn about Demonstrate proficiency in using Microsoft Excel for a wide range of business analysis tasks. Create professional-quality charts and visualizations in Excel to effectively communicate insights and findings. Efficiently navigate, explore, and manage large datasets in Excel. Clean, process, and analyze data in Excel to support data-driven decision-making. Apply advanced Excel formulas and functions to solve complex business problems. Utilize Pivot Tables for data summarization and analysis in Excel. Continuously enhance your Excel skills and stay up-to-date with the latest features and best practices. Design and develop efficient and user-friendly Excel spreadsheets. Apply Excel techniques in real-world business scenarios such as market size evaluation, financial analysis, digital marketing, and predictive modeling. This course is ideal for individuals who are Anyone wanting to learn more about Excel! or Business analysts seeking to enhance their Excel skills and analytical capabilities. or Professionals in finance, marketing, and other business fields looking to leverage Excel for data-driven decision-making. or Individuals interested in learning advanced Excel techniques for personal or professional growth. or Anyone looking to improve their data analysis and visualization skills using Microsoft Excel. It is particularly useful for Anyone wanting to learn more about Excel! or Business analysts seeking to enhance their Excel skills and analytical capabilities. or Professionals in finance, marketing, and other business fields looking to leverage Excel for data-driven decision-making. or Individuals interested in learning advanced Excel techniques for personal or professional growth. or Anyone looking to improve their data analysis and visualization skills using Microsoft Excel.

Enroll now: Microsoft Excel Crash Course for Business Analysts

Summary

Title: Microsoft Excel Crash Course for Business Analysts

Price: $89.99

Average Rating: 4.61

Number of Lectures: 138

Number of Quizzes: 5

Number of Published Lectures: 137

Number of Published Quizzes: 4

Number of Curriculum Items: 143

Number of Published Curriculum Objects: 141

Number of Practice Tests: 1

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Demonstrate proficiency in using Microsoft Excel for a wide range of business analysis tasks.
Create professional-quality charts and visualizations in Excel to effectively communicate insights and findings.
Efficiently navigate, explore, and manage large datasets in Excel.
Clean, process, and analyze data in Excel to support data-driven decision-making.
Apply advanced Excel formulas and functions to solve complex business problems.
Utilize Pivot Tables for data summarization and analysis in Excel.
Continuously enhance your Excel skills and stay up-to-date with the latest features and best practices.
Design and develop efficient and user-friendly Excel spreadsheets.
Apply Excel techniques in real-world business scenarios such as market size evaluation, financial analysis, digital marketing, and predictive modeling.

Who Should Attend

Anyone wanting to learn more about Excel!
Business analysts seeking to enhance their Excel skills and analytical capabilities.
Professionals in finance, marketing, and other business fields looking to leverage Excel for data-driven decision-making.
Individuals interested in learning advanced Excel techniques for personal or professional growth.
Anyone looking to improve their data analysis and visualization skills using Microsoft Excel.

Target Audiences

Anyone wanting to learn more about Excel!
Business analysts seeking to enhance their Excel skills and analytical capabilities.
Professionals in finance, marketing, and other business fields looking to leverage Excel for data-driven decision-making.
Individuals interested in learning advanced Excel techniques for personal or professional growth.
Anyone looking to improve their data analysis and visualization skills using Microsoft Excel.

Welcome to the Microsoft Excel Mastery for Business Analysts course – the ultimate Excel course designed to take your business analysis skills to new heights!

In this comprehensive course, we will cover all the essential features of Excel that every business analyst should know to excel in their career. Whether you are a beginner or an experienced analyst, this course has something for everyone.

Don’t miss this opportunity to learn from experts and transform your career.

The course is divided into multiple modules, covering everything from the basics of data entry and formatting to advanced Excel formulas and functions. You will learn how to navigate and explore larger datasets, clean and process data, create stunning visualizations with charts, and harness the power of pivot tables for summary and analysis.

This course also dives into practical applications of Excel in various business scenarios such as market size evaluation, finance fundamentals, digital marketing, and predictive modeling using least squares regression. You’ll work on real-world case studies and projects, solidifying your understanding of key concepts and techniques.

Enroll today, and you’ll receive access to a wealth of course resources, including video lectures, practice exercises, quizzes, and downloadable materials – everything you need to succeed in this exciting field. With lifetime access to the course content, you can learn at your own pace and revisit the material whenever you need a refresher.

Don’t wait – enhance your business analysis skills and boost your career prospects with the Microsoft Excel Mastery for Business Analysts course. Enroll now and start your journey towards Excel mastery!

Course Curriculum

Chapter 1: Introduction and Getting Started

Lecture 1: Downloading Excel

Lecture 2: Why Should You Use Excel?

Lecture 3: Getting Familiar with the Excel Interface

Lecture 4: The Excel Ribbon

Lecture 5: How to Use the Course Resources

Chapter 2: Entering and Editing Data and Formulas

Lecture 1: Basics of Data Entry and Formatting

Lecture 2: Working with Date Values in Excel

Lecture 3: Introduction to Cell References in Excel

Lecture 4: Arithmetic and Mathematical Operators in Excel

Lecture 5: Using the Fill Handle to Autofill Data in Excel

Lecture 6: Relative, Absolute, and Mixed Cell References in Excel

Lecture 7: Named Cells and Ranges in Excel

Lecture 8: Exercise – Personal Budget

Chapter 3: Formatting Your Excel Worksheet

Lecture 1: Using ALT as a Shortcut, and Other Shortcuts

Lecture 2: Font Formatting, Text Alignment, and Merging Cells

Lecture 3: Inserting and Deleting Cells, Rows, and Columns

Lecture 4: Hiding and Unhiding Rows and Columns

Lecture 5: Borders & Fill Colors

Lecture 6: Conditional Formatting

Lecture 7: Hyperlinks in Excel

Lecture 8: Protecting Excel Worksheets and Workbooks

Lecture 9: Data Validation and How to Create a Dropdown List

Lecture 10: Exercise – Conditional Formatting

Lecture 11: Exercise – Creating a Table of Contents

Chapter 4: Excel Functions

Lecture 1: What is a Function in Excel?

Lecture 2: Order of Operations (Order of Precedence) in Excel

Lecture 3: SUM and the AUTOSUM Feature in Excel

Lecture 4: COUNT, COUNTA, and COUNTBLANK

Lecture 5: AVERAGE

Lecture 6: MIN and MAX

Lecture 7: ISBLANK, ISNUMBER, ISTEXT, and ISERROR

Lecture 8: Booleans and Logical Operators in Excel

Lecture 9: Exercise – Logical Operators

Lecture 10: IF

Lecture 11: VLOOKUP

Lecture 12: CONCATENATE, TRIM, and TEXTSPLIT

Lecture 13: Using SEARCH and ISNUMBER to Find If a Cell Contains Specific Text

Lecture 14: Exercise – Student Grades

Lecture 15: INDEX, MATCH, AND INDEX MATCH

Chapter 5: Navigating and Exploring Larger Datasets

Lecture 1: How to Freeze Panes, Rows, and Columns in Excel

Lecture 2: How to Sort Lists in Excel

Lecture 3: How to Use Excel Filters

Lecture 4: Shortcuts for Filtering and Sorting

Lecture 5: Unsort and Revert Back to Original Order

Lecture 6: Exercise – Bestselling Artists

Chapter 6: Cleaning and Processing Your Data in Excel

Lecture 1: What is Data Cleaning and the Data Cleaning Process

Lecture 2: Remove Blank Rows

Lecture 3: Remove Rows with Blank Cells

Lecture 4: How to Fill or Replace Blank Cells in Excel

Lecture 5: Remove Duplicates

Lecture 6: Using Find and Find and Replace

Lecture 7: SUBSTITUTE Function

Lecture 8: Data Cleaning Pro Tip: Creating a Key

Lecture 9: Importing CSV, TSV, and TXT and Text to Columns

Lecture 10: Exercise – States

Lecture 11: Sources of Data for Your Personal Projects

Chapter 7: Excel Pivot Tables for Summary and Analysis

Lecture 1: What is a Pivot Table?

Lecture 2: Fundamentals: Creating a Pivot Table, The Field List, and Aggregators

Lecture 3: Bonus: Count Unique (Distinct Count) with Pivot Tables

Lecture 4: Adding Data to Pivot Tables

Lecture 5: Data Best Practices: Source Data Formatting and Organization

Lecture 6: Formatting Pivot Table Dates and Numbers

Lecture 7: Sorting and Filtering with Pivot Tables

Lecture 8: Exercise – Animal Bites

Lecture 9: Calculate Values in a Pivot Table

Lecture 10: Custom Calculations with Pivot Tables

Lecture 11: Slicers and Timelines

Lecture 12: Exercise – IMDB Movie Database

Lecture 13: Pivot Table Tabular Form to Export Data

Chapter 8: Data Visualization

Lecture 1: Tips for Effective Data Visualization

Lecture 2: Parts of an Excel Chart

Lecture 3: Types of Data

Lecture 4: How to Insert a Chart and Add Chart Elements

Lecture 5: How to Insert Bar and Column Charts Excel

Lecture 6: Format Chart Area Tutorial

Lecture 7: Sparklines

Lecture 8: Combo Charts (Two-Axis Charts)

Lecture 9: Line Charts and Trendlines

Lecture 10: Pie Charts

Lecture 11: Scatter Plots

Lecture 12: Bubble Charts

Lecture 13: Histograms and Pareto Charts

Lecture 14: Box and Whisker Plots

Lecture 15: Heat Maps

Chapter 9: Data Analyst Fundamentals

Lecture 1: The Scientific Method and How It Applies to Data Analysis

Lecture 2: Types of Data Analysis

Lecture 3: Data Analysts vs. Data Scientists

Lecture 4: Independent vs. Dependent Variables

Chapter 10: MBA Unit 1: Performing a Digital Marketing Keyword Analysis

Instructors

Jacob Coccari
Instructor at Beehive Learning

Rating Distribution

1 stars: 1 votes
2 stars: 9 votes
3 stars: 40 votes
4 stars: 182 votes
5 stars: 353 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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