Transform messy data into robust, usable datasets and gain crucial insights by mastering Google Sheets’ most powerful tool, Pivot Tables.

There is a joke in the data community.

The other 10% of your time will be spent complaining about cleaning your data.

Do you deal with formatted data that takes hours to clean up, preventing you from making progress on your work?

Do you ever find yourself repeating a process, like getting a zip code from an address?

Why should you care about a pivot table?

The course is designed to help you work with messy, real-world datasets, and it is a good fit for beginners.

Through four hours of video lessons, you will learn how to clean data and prepare it for analysis and reporting, saving you hours of repetitive work and helping you get accurate results for your company.

What is Data Cleaning ?

Data cleaning involves fixing incomplete data or dealing with irrelevant data in your data sets.

The goal of data cleaning is to create a consistent, clean data set, which gives you the confidence that any subsequent analysis and conclusions you draw will be accurate and thorough.

Why should you care?

People often overlook the first step in the data analysis process, which is data cleaning.

If you start with bad data, you will end up with bad conclusions. It could have disastrous consequences for your business if you end up double counting revenue.

This training course will teach you how to clean your data in a Google Sheets setting using formulas and pivot tables. You and your boss will feel confident that your conclusions are based on sound data once you have grasped these concepts.

What is covered in this course?

• Best practices for working with data in Google Sheets.
• All the formulas required for data cleaning.
• Tips and tricks, such as shortcut keys, to make your workflow more efficient.
• Professional techniques for turning messy real-world data into clean, orderly data sets for your analysis.
• Pivot Tables! This course covers Pivot Tables from top-to-bottom. Even if you’ve never seen a Pivot Table before, you’ll soon create cutting-edge ones, using advanced techniques like calculated fields and data extraction with special formulas. I don’t think you’ll find a more comprehensive course on Google Sheets Pivot Tables anywhere else on the web.
• Two in-depth case studies that show all these techniques being used together, in the wider context of a real-world problem.

This course doesn’t cover anything.

• How to analyze your datasets or how to build dashboard reports
• How to use the scripting language, Apps Script, to work with data.
• How to create data visualizations or charts from your data.

What do you get with this course?

• Over 4 hours of video tutorials that walk you step-by-step through techniques for cleaning data and using pivot tables.
• Access to all the raw data files used in the examples, copies of the formulas and links to online documentation and other great resources.
• Membership to our dedicated Facebook group, where you can post questions and get answers, share insights and interact with other students.
• All the videos are online and you’ll have 24/7 access for life.

Who is this course for?

• Anyone who works with data in Google Sheets — maybe you’re a data analyst, a marketer, an educator, a scientist or someone in between.
• Anyones curious to learn more about working with data and Pivot Tables.
• Anyone who wants to learn best practices and how to be efficient with data.
• Anyone who wants to add new skills that will help you advance your career.

What are the requirements?

• A Google account.
• Access to Google Sheets.
• Basic familiarity with Google Sheets and spreadsheets.
• No assumptions are made about prior knowledge of functions or pivot tables — all the topics are covered comprehensively from scratch, at a comfortable pace.

Get Ben Collins – Data Cleaning and Pivot Tables in Google Sheets on nextskillup.com right now!

The curriculum for the class.

The introduction is about something.

The introduction to the course is the first lesson.

Lesson 2 is about the instructor.

The third lesson is about how this course is structured.

You can join the group on Facebook.

Data cleaning.

Data cleaning and best practices are covered in Lesson 4.

Lesson 5: Data types.

There are handy tips for data tables in Lesson 6.

Lesson 7 is about finding and replacing things.

The lesson dealt with tidying and dealing with spaces.

Lesson 9: Lower, Upper and Proper functions to deal with a case.

There is a lesson about searching within data strings.

Data can be Extracted with Left, Right and Mid functions.

Lesson 12: Changing data with Substitute and Replace formulas.

Splitting data with text to columns isLesson 13

Lesson 14: Bringing Data Together.

Lesson 15: Sorting and Filtering Data.

Lesson 16 deals with null values.

Lesson 17: Duplicates.

Lesson 18: Duplicates Formula Method.

The IF function and logic can be used to clean data.

VLOOKUP is used to clean data.

Spelling Tools and Transposing Data is Lesson 21.

There are pivot tables.

The introduction to pivot tables is Lesson 22.

Lesson 23: Pivot Table Fundamentals.

Lesson 24: Pivot Table Fundamentals II.

Data for pivot tables is prepared in lesson 25.

The lesson deals with advanced pivot table features.

Show As Percentage is the 27th lesson.

The lesson deals with pivot table options.

There are other uses for pivot tables.

The lesson deals with getting data out of pivot tables.

Data cleaning and pivot tables case studies are part of the course.

Lesson 31: Case Study 1 Part I.

Lesson 32: Case Study 1 Part II.

Lesson 33: Case Study 2 Part I.

Lesson 34: Case Study 2 Part II.

Lesson 35: Case Study 2 Part III.

Get Ben Collins – Data Cleaning and Pivot Tables in Google Sheets right now!
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