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Tricia Bagley
We have all experienced a moment, when taking in complex information, where understanding crystalizes when a visualization is included to help convey the data story. Sometimes this is an artfully created graphic and other times it is a simple bar chart that...
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We have all experienced a moment, when taking in complex information, where understanding crystalizes when a visualization is included to help convey the data story. Sometimes this is an artfully created graphic and other times it is a simple bar chart that helps us suddenly grasp the meaning of a data set. Sparklines are simple, tiny charts that offer a quick visualization of a data set within a worksheet cell. Sparklines are an important tool in an analyst’s toolbox to visually analyze data while conducting an exploratory analysis to uncover possible patterns and quickly grasp trends in a data set. By the end of this course you will understand use cases for inserting sparklines into a spreadsheet and you will be able to confidently create line, bar, column, and win/loss sparkline charts in 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
Develops key data analysis skills that can benefit analysts from novice to advanced levels
Taught by an expert in data visualization
Covers a variety of sparkline chart types, catering to different data visualization needs
Emphasizes practical applications of sparklines in exploratory data analysis, making it highly relevant for data analysts
Suitable for learners in the North American region

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Reviews summary

Sparkline charts made simple

This course provides foundational knowledge on using sparklines, a tool for quickly visualizing patterns and trends. It offers practical guidance on creating various types of sparkline charts in Google Sheets, making it accessible to beginners seeking to enhance their spreadsheet skills.
Suitable for new users
"It should be named like "How to draw a simple Sparkline chart in Google Sheet""
Course helps visualize data
"...understanding crystalizes when a visualization is included to help convey the data story..."
Title doesn't match content
"Misleading name of the course ("Run a Sparkline Trend Analysis in Google Sheets")"

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 Run a Sparkline Trend Analysis in Google Sheets with these activities:
Develop a Sparkline dashboard
Showcase your mastery by developing a comprehensive Sparkline dashboard that visually represents and analyzes data. This project will challenge you to apply your skills and demonstrate your ability to communicate insights effectively.
Show steps
  • Gather and organize data.
  • Choose and create appropriate Sparkline charts.
  • Design and layout the dashboard.
  • Write a brief report interpreting the data and insights.
Show all one activities

Career center

Learners who complete Run a Sparkline Trend Analysis in Google Sheets will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts uncover patterns and trends in data to help businesses make informed decisions. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Data Analysts.
Financial Analyst
Financial Analysts use data to make recommendations about investments and financial decisions. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Financial Analysts.
Business Analyst
Business Analysts use data to identify and solve business problems. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Business Analysts.
Market Researcher
Market Researchers use data to understand consumer behavior and market trends. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Market Researchers.
Statistician
Statisticians use data to make inferences about populations. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Statisticians.
Data Scientist
Data Scientists use data to build models and make predictions. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Data Scientists.
Machine Learning Engineer
Machine Learning Engineers use data to build and train machine learning models. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Machine Learning Engineers.
Software Engineer
Software Engineers use data to design and build software applications. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Software Engineers.
Data Engineer
Data Engineers use data to build and maintain data pipelines. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Data Engineers.
Database Administrator
Database Administrators use data to design and maintain databases. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Database Administrators.
Information Security Analyst
Information Security Analysts use data to protect computer systems and networks from cyberattacks. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Information Security Analysts.
Computer Systems Analyst
Computer Systems Analysts use data to design and implement computer systems. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Computer Systems Analysts.
Operations Research Analyst
Operations Research Analysts use data to solve complex problems in business and industry. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Operations Research Analysts.
Actuary
Actuaries use data to assess risk and uncertainty. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Actuaries.
Financial Risk Manager
Financial Risk Managers use data to assess and manage financial risk. They use a variety of tools and techniques to analyze data, including sparklines. Sparklines are small, in-cell charts that can quickly visualize data trends. This course will teach you how to create and use sparklines, which can be a valuable skill for Financial Risk Managers.

Reading list

We've selected 13 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 Run a Sparkline Trend Analysis in Google Sheets.
A practical guide to creating dashboards and reports in Excel, including sparklines and other visualization techniques. It should aid in understanding sparklines beyond just the Google Sheets tool, which this course is very focused on.
A comprehensive guide to Google Sheets, including a section on sparklines and other visualization techniques. This could be useful as a reference or for more contextual information beyond just the sparkline functionality of Google Sheets.
A practical guide to data visualization with Google Sheets, including sparklines and other techniques. It could be a helpful reference or supplement for understanding the broader scope of data visualization in Sheets
A valuable resource for using Google Sheets in a business intelligence context, providing background on business intelligence.
An authoritative guide to data analysis with Pandas and Python, a powerful combination for data manipulation and analysis. While not directly related to Google Sheets, it offers a valuable perspective on data analysis in general.
A comprehensive introduction to data science, providing a foundation for understanding the principles and practices involved in extracting knowledge from data.
An introduction to data exploration and visualization with R, providing a practical approach to working with data and gaining insights from it.
An in-depth guide to deep learning techniques for natural language processing, providing a comprehensive overview of the field.

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