Google Sheets Functions for Growth Marketing & Product Teams

Google Sheets Functions for Growth Marketing & Product Teams, available at $19.99, has an average rating of 4.55, with 16 lectures, based on 237 reviews, and has 4577 subscribers.

You will learn about Importing, cleaning and analysing datasets Visualising data with pivot tables and time series graphs Importing data using IMPORTRANGE, IMPORTHTML & IMPORTXML Looking up data with VLOOKUP, INDEX & MATCH Cleaning data with MONTH, YEAR, CONCATENATE, PROPER, REGEXEXTRACT, IF, THEN & ELSE Sorting and filtering data with FILTER & SORT Searching data with QUERY, SELECT, WHERE, LIKE, AND, OR & LIMIT This course is ideal for individuals who are Marketers with 0-5yrs of experience interested in data analysis using Google Sheets or Business owners wanting to clean and analyse customer data in Google Sheets or Growth and Product team members interested in upgrading their spreadsheets skills or Anyone who wants to get better at analysing data or creating spreadsheets can take away a lot too It is particularly useful for Marketers with 0-5yrs of experience interested in data analysis using Google Sheets or Business owners wanting to clean and analyse customer data in Google Sheets or Growth and Product team members interested in upgrading their spreadsheets skills or Anyone who wants to get better at analysing data or creating spreadsheets can take away a lot too.

Enroll now: Google Sheets Functions for Growth Marketing & Product Teams

Summary

Title: Google Sheets Functions for Growth Marketing & Product Teams

Price: $19.99

Average Rating: 4.55

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Importing, cleaning and analysing datasets
Visualising data with pivot tables and time series graphs
Importing data using IMPORTRANGE, IMPORTHTML & IMPORTXML
Looking up data with VLOOKUP, INDEX & MATCH
Cleaning data with MONTH, YEAR, CONCATENATE, PROPER, REGEXEXTRACT, IF, THEN & ELSE
Sorting and filtering data with FILTER & SORT
Searching data with QUERY, SELECT, WHERE, LIKE, AND, OR & LIMIT

Who Should Attend

Marketers with 0-5yrs of experience interested in data analysis using Google Sheets
Business owners wanting to clean and analyse customer data in Google Sheets
Growth and Product team members interested in upgrading their spreadsheets skills
Anyone who wants to get better at analysing data or creating spreadsheets can take away a lot too

Target Audiences

Marketers with 0-5yrs of experience interested in data analysis using Google Sheets
Business owners wanting to clean and analyse customer data in Google Sheets
Growth and Product team members interested in upgrading their spreadsheets skills
Anyone who wants to get better at analysing data or creating spreadsheets can take away a lot too

In the course you’ll receive:

Practice dataset
Cheatsheet with 20+ functions
Short lectures explaining functions with examples

This course is designed to upskill your Google Sheets knowledge and is based on my experience leading growth teams and working day-to-day with Google Sheets. I’ve narrowed the course down to the top 20 most important functions that I use to import, clean, analyse and visualise data on a regular basis.

We will skip the basics of adding & subtracting and go right into the juicy stuff such as importing data with IMPORTXML and searching that data using QUERY. It will be no problem if these functions are completely new to you, as we’ll cover all functions according to a practice dataset so that you can work alongside me and implement each function right away.

If you have any questions or requests, please don’t hesitate to contact me.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Data preparation & manipulation

Lecture 1: Linking data between workbooks, files and/or tabs using IMPORTRANGE

Lecture 2: Importing data from the web with IMPORTDATA, IMPORTXML, IMPORTHTML

Lecture 3: VLOOKUP cell values in a dataset

Lecture 4: Lookup cell values using INDEX and MATCH

Lecture 5: Converting dates with MONTH and YEAR

Lecture 6: Combining dates in MONTH-YEAR using CONCATENATE

Lecture 7: Conditional statements with IF, THEN, ELSE

Lecture 8: Extracting firstnames from full names with REGEXEXTRACT

Lecture 9: Capitalising names with PROPER

Chapter 3: Data analysis & visualisation

Lecture 1: Using SORT and FILTER to find missing values

Lecture 2: Creating a dropdown list

Lecture 3: Filtering data using the QUERY function and WHERE, LIKE AND OR LIMIT statements

Lecture 4: Searching data using the QUERY function and dropdown list

Lecture 5: Searching data using the QUERY function and text search input

Lecture 6: Visualising lifetime value and churn data using pivot tables

Instructors

Ruben Portz
Founder of TractionPad

Rating Distribution

1 stars: 0 votes
2 stars: 4 votes
3 stars: 19 votes
4 stars: 89 votes
5 stars: 125 votes

Frequently Asked Questions

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

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