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Analyze Data using Pivot Tables, Crosstabs in Google Sheets

Tricia Bagley
In this project, you will explore the pivot-table tactics applied in Google Sheets to create crosstabs and conduct a preliminary—exploratory—analysis of the data within the report. You will also conduct Pearson’s correlation testing and determine how best to...
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In this project, you will explore the pivot-table tactics applied in Google Sheets to create crosstabs and conduct a preliminary—exploratory—analysis of the data within the report. You will also conduct Pearson’s correlation testing and determine how best to visually present those results so that you can aid the audience’s discovery of insights from the data story. To do this you will work in the free-to-use spreadsheet software Google Sheets. We rarely have an unlimited amount of time to find the actions in our data, so it is key to leverage tools that expedite that process. Crosstab reports can accelerate the analysis process because they present select slices of data in a matrix format making it easier to visualize patterns and explore similarities and differences between categories or variables. By the end of this project, you will be able to perform correlation testing, interpret the test statistics, and apply pivot table tactics to create crosstab reports that will communicate the data story using any spreadsheet software. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches tactics to create crosstabs and explore data using pivot tables
Helps learners conduct Pearson’s correlation testing and visualize results
Suitable for learners based in the North America region

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Reviews summary

Google sheets pivot tables

This course on using pivot tables and crosstabs in Google Sheets has been rated highly by learners. The course is described as helpful, well-paced, and easy to understand. However, some learners have found that the course is too theoretical and does not provide enough hands-on practice.
Helpful for beginners
"Excellent course for the beginners"
Lack of hands-on practice
"the first 3 were nothing but a lecture that wasn't very insightful... The remaining 2 videos allowed for a few mouse clicks (the hands-on interaction)."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Analyze Data using Pivot Tables, Crosstabs in Google Sheets with these activities:
Brush up on basic statistics
This course assumes basic statistical knowledge. Reviewing this material will ensure your success.
Show steps
  • Review notes from a previous statistics course
  • Take a practice quiz to assess your understanding
  • Practice solving basic statistical problems
Follow tutorials on pivot table tactics
Pivot table tactics are essential for data analysis. Following tutorials will help you master these skills.
Show steps
  • Find tutorials on pivot table tactics in Google Sheets
  • Follow the tutorials and practice using pivot tables
  • Apply pivot table tactics to analyze data
Practice Pearson's correlation testing
Pearson's correlation testing is a key technique covered in this course. Practicing this skill will improve your understanding and retention.
Show steps
  • Find a dataset with numerical variables
  • Calculate the Pearson's correlation coefficient for different pairs of variables
  • Interpret the results and draw conclusions
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data visualization dashboard
Creating a data visualization dashboard will help you apply the skills you learn in this course to a practical project.
Show steps
  • Choose a dataset that interests you
  • Clean and prepare the data
  • Create visualizations to represent the data
  • Design a dashboard to present the visualizations
  • Share your dashboard with others
Contribute to a data analysis project on GitHub
Contributing to open-source projects is a great way to practice your skills and learn from others.
Show steps
  • Find an open-source data analysis project on GitHub
  • Read the project documentation and contribute code
  • Submit a pull request and collaborate with other contributors
Develop a data analysis presentation
Creating a presentation will help you synthesize your knowledge and communicate your findings effectively.
Show steps
  • Choose a topic for your presentation
  • Gather and analyze data on your topic
  • Create visually appealing slides
  • Practice your presentation and get feedback
Create a data analysis portfolio
A portfolio is a great way to showcase your skills and attract potential employers.
Show steps
  • Gather your best data analysis projects
  • Create a website or online portfolio to showcase your work
  • Write case studies to describe your projects and highlight your skills
  • Share your portfolio with potential employers and recruiters

Career center

Learners who complete Analyze Data using Pivot Tables, Crosstabs in Google Sheets will develop knowledge and skills that may be useful to these careers:
Marketing Analyst
Marketing Analysts use data to help businesses understand their customers and develop effective marketing campaigns. A course on analyzing data with pivot tables and crosstabs will provide you with the skills you need to analyze customer data and identify trends. The course will help you build a strong foundation in data analysis, which is essential for success as a Marketing Analyst.
Data Engineer
Data Engineers build and maintain the systems that store and process data. A course on analyzing data with pivot tables and crosstabs will provide you with the skills you need to understand how data is stored and processed, which is essential for success as a Data Engineer.
Quantitative Analyst
Quantitative Analysts use data to develop and implement mathematical models. A course on analyzing data with pivot tables and crosstabs will provide you with the skills you need to prepare and analyze data for use in mathematical models. The course will help you build a strong foundation in data analysis, which is essential for success as a Quantitative Analyst.
Machine Learning Engineer
Machine Learning Engineers use data to develop and implement machine learning models. A course on analyzing data with pivot tables and crosstabs will provide you with the skills you need to prepare and analyze data for use in machine learning models. The course will help you build a strong foundation in data analysis, which is essential for success as a Machine Learning Engineer.
Data Scientist
Data Scientists use data to solve problems and make informed decisions. A course on analyzing data with pivot tables and crosstabs will provide you with the skills you need to collect, analyze, and interpret data. The course will help you build a strong foundation in data analysis, which is essential for success as a Data Scientist.
Data Analyst
Data Analysts use data to solve problems and make informed decisions. A course on analyzing data with pivot tables and crosstabs provides a strong foundation for success as a Data Analyst, as this role requires a deep understanding of how to organize and analyze large datasets. The course will equip you with the skills to identify patterns and trends in data, which is essential for making data-driven decisions.
Database Administrator
Database Administrators manage and maintain databases. A course on analyzing data with pivot tables and crosstabs will provide you with the skills you need to understand how databases work, which is essential for success as a Database Administrator.
Business Analyst
Business Analysts use data to help businesses improve their operations. A course on analyzing data with pivot tables and crosstabs will provide you with the skills you need to analyze data and identify areas for improvement within a business. The course will help you build a strong foundation in data analysis, which is essential for success as a Business Analyst.
Statistician
Statisticians use data to solve problems and make informed decisions. A course on analyzing data with pivot tables and crosstabs will provide you with the skills you need to collect, analyze, and interpret data. The course will help you build a strong foundation in data analysis, which is essential for success as a Statistician.
Financial Analyst
Financial Analysts use data to help businesses make sound financial decisions. A course on analyzing data with pivot tables and crosstabs will provide you with the skills you need to analyze financial data and identify trends. The course will help you build a strong foundation in data analysis, which is essential for success as a Financial Analyst.
Computer Systems Analyst
Computer Systems Analysts design and implement computer systems. A course on analyzing data with pivot tables and crosstabs may be useful for understanding how data is stored and processed, which can be helpful for designing and implementing computer systems.
Software Engineer
Software Engineers design and develop software. A course on analyzing data with pivot tables and crosstabs may be useful for understanding how data is stored and processed, which can be helpful for designing and developing software.
Web Developer
Web Developers design and develop websites. A course on analyzing data with pivot tables and crosstabs may be useful for understanding how data is stored and processed on the web, which can be helpful for designing and developing websites.
Information Security Analyst
Information Security Analysts protect data from unauthorized access. A course on analyzing data with pivot tables and crosstabs may be useful for understanding how data is stored and processed, which can be helpful for identifying and preventing security breaches.
Database Developer
Database Developers design and develop databases. A course on analyzing data with pivot tables and crosstabs may be useful for understanding how data is stored and processed in databases, which can be helpful for designing and developing databases.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Analyze Data using Pivot Tables, Crosstabs in Google Sheets.
Beginner's guide to using Google Sheets. It covers everything from basic tasks like creating and formatting spreadsheets to more advanced topics like using formulas and functions. It great resource for anyone who wants to learn the basics of Google Sheets.
Beginner's guide to using Google Sheets. It covers everything from basic tasks like creating and formatting spreadsheets to more advanced topics like using formulas and functions. It great resource for anyone who wants to learn the basics of Google Sheets.
Comprehensive guide to using Python for data analysis. It covers everything from basic tasks like importing data and creating visualizations to more advanced topics like using machine learning and statistical modeling. It great resource for anyone who wants to learn how to use Python to its full potential.
Comprehensive guide to using Tableau for data analysis. It covers everything from basic tasks like creating visualizations to more advanced topics like using machine learning and statistical modeling. It great resource for anyone who wants to learn how to use Tableau to its full potential.
Comprehensive guide to using Power BI for data analysis. It covers everything from basic tasks like creating visualizations to more advanced topics like using machine learning and statistical modeling. It great resource for anyone who wants to learn how to use Power BI to its full potential.
Comprehensive guide to statistics for data analysis. It covers everything from basic concepts like probability and hypothesis testing to more advanced topics like regression analysis and time series analysis. It great resource for anyone who wants to learn the fundamentals of statistics and how to apply them to data analysis.
Comprehensive guide to data mining with R. It covers everything from basic concepts like data preprocessing and feature selection to more advanced topics like machine learning and statistical modeling. It great resource for anyone who wants to learn how to use R for data mining.
Comprehensive guide to deep learning with Python. It covers everything from basic concepts like neural networks and backpropagation to more advanced topics like convolutional neural networks and recurrent neural networks. It great resource for anyone who wants to learn how to use Python for deep learning.
Comprehensive guide to natural language processing with Python. It covers everything from basic concepts like tokenization and stemming to more advanced topics like machine learning and deep learning for NLP. It great resource for anyone who wants to learn how to use Python for NLP.
Comprehensive guide to reinforcement learning with Python. It covers everything from basic concepts like Markov decision processes and value iteration to more advanced topics like deep reinforcement learning and policy gradients. It great resource for anyone who wants to learn how to use Python for reinforcement learning.

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