Fundamentals of Data Analysis in Excel

This course is part of Data Skills for Excel Professionals Specialization

Instructor: CFI (Corporate Finance Institute)

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8 modules

Gain insight into a topic and learn the fundamentals.

4.8

(46 reviews)

Beginner level

No prior experience required

5 hours to complete

3 weeks at 1 hour a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

4.8

(46 reviews)

Beginner level

No prior experience required

5 hours to complete

3 weeks at 1 hour a week

Flexible schedule

Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

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This course is part of the Data Skills for Excel Professionals Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 8 modules in this course

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis.

In this course, you鈥檒l apply Excel鈥檚 native tools to structure your data into spreadsheets and tables. You鈥檒l then analyze and produce insights from that data using pivot tables. Finally, you鈥檒l visualize those insights by building a dashboard in Excel. You鈥檒l apply these skills using modern functionality like dynamic array formulas, linked data types, and Ideas in Excel. You鈥檒l work hands-on with real-world scenarios, using datasets pulled from financial statements and retail sales. By the end of the course, you'll be able to: 鈼� analyze a dataset using native Excel tools 鈼� apply Excel tools and formulas to transform and structure your data 鈼� create pivot tables to slice and dice your data 鈼� visualize data with pivot charts and Excel Charts 鈼� describe the landscape of data analysis and visualization

Welcome to the Fundamentals of Data Analysis in Excel course.

What's included

1 video1 reading

In this module, we will learn to analyze a dataset using native Excel tools.

What's included

10 videos

10 videosTotal 40 minutes

Introduction0 minutesPreview module
Sorting & Filtering4 minutes
Conditional Formatting4 minutes
Conditional Logic - IF() & SWITCH()4 minutes
Conditional Logic - IF() & IFS()4 minutes
SUMPRODUCT() Function6 minutes
Defining Variables - LET()4 minutes
Defining Names - Name Manager4 minutes
Defining Functions - LAMBDA()5 minutes
Review0 minutes

In this module, we will learn to apply Excel tools and formulas to transform and structure our data.

What's included

10 videos1 assignment

10 videosTotal 40 minutes

Introduction1 minutePreview module
Text to Columns3 minutes
Removing Duplicate Values2 minutes
String Functions for Text Values7 minutes
Working with Date Values7 minutes
Looking Up Data - VLOOKUP()4 minutes
Using HLOOKUP() with VLOOKUP()6 minutes
Looking Up Data - INDEX() & MATCH()4 minutes
Dealing with Errors - IFNA() & IFERROR()2 minutes
Chapter Review - Transform Data in Excel0 minutes

1 assignmentTotal 25 minutes

Week 1 Challenge25 minutes

In this module, we will learn to apply Excel tools and formulas to transform and structure our data.

What's included

10 videos

10 videosTotal 37 minutes

Excel Tables1 minutePreview module
Calculated Columns in Excel Tables4 minutes
Special Item Specifiers in Excel Tables3 minutes
Power Query - Introduction1 minute
Power Query - Filtered Table4 minutes
Power Query - Group & Aggregate Data4 minutes
Linked Data Types3 minutes
Expand Power Query Data with Linked Data Types4 minutes
Linked Data Types as a Power Query Source2 minutes
Chapter Review - Excel Tables5 minutes

What's included

6 videos1 assignment

In this module, we will learn to explore the landscape of data analysis and visualization and create pivot tables to slice and dice your data.

What's included

10 videos

10 videosTotal 35 minutes

Chapter Introduction - Pivot Tables1 minutePreview module
Summarize Data with a PivotTable3 minutes
Update & Sort a PivotTable3 minutes
PivotTable Analyze Options5 minutes
PivotTable Design Options2 minutes
Filtering with Slicers & Timelines6 minutes
Pivot Charts4 minutes
Analyze Data - Ideas in Excel3 minutes
Power Pivot4 minutes
Chapter Review - Pivot Tables0 minutes

In this module, we will learn to visualize data with pivot and Excel charts.

What's included

12 videos

12 videosTotal 35 minutes

Chapter Introduction - Visualize Data in Excel0 minutesPreview module
Excel Visuals2 minutes
Excel Visuals Continued5 minutes
Dashboard Preview1 minute
Net Earnings Waterfall2 minutes
Combo Chart - Cash Flow & Cash Balance4 minutes
Bullet Chart - Introduction1 minute
Creating Bullet Chart3 minutes
Formatting Bullet Chart3 minutes
Setting up Data Table for Bullet Chart6 minutes
Excel vs Dashboard Tools1 minute
Chapter Review - Visualize Data in Excel0 minutes

What's included

1 video1 assignment

Instructor

Instructor ratings

4.6 (16 ratings)

CFI (Corporate Finance Institute)

Corporate Finance Institute

29 Courses43,065 learners

Offered by

Corporate Finance Institute

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Reviewed on Dec 11, 2024

There are too many short videos, it's better to put the similar topics together.

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Frequently asked questions

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don鈥檛 give refunds, but you can cancel your subscription at any time. .

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