Summarizing Data Using Google Sheets from Coursera

This project gives you easy access to the invaluable summarizing data techniques used by experts in business, science, math, sports, art, music, literature, and many other disciplines. We’ll learn how to summarize vast amounts of data into a few numbers, charts, and graphs to gain the invaluable insights hidden in them. We’ll also cover the most commonly used methods in the business setting while focusing on how to develop them and when one is more appropriate than others. We will use Google Sheets and large data sets to illustrate how to create the summary techniques. Using these techniques, no matter what your skill levels in the topic, you can change your way of solving problems using data and approaching them. If you’re already an expert, this peep under the methods in data science will give you ideas for turbocharging successful learning, including tips and insights that will help you make the best use of data for your decision-making. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at summarizing data, this project will help serve as your guide. This Guided Project was created by a Coursera community member.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

For learners of all skill levels, this project will help them solve problems and approach them using data

Explores data summarizing techniques used by experts in data science

Covers methods commonly used in business settings

Uses Google Sheets and large data sets to illustrate techniques

Reviews summary

Practical applications in data science

Students enjoyed being introduced to essential techniques for summarizing data into useful formats using Google Sheets and everyday examples. However, many students recommended improving the instructor's speech.

Essential applications for data summarization

"Using these techniques, no matter what your skill levels in the topic"

"If you've ever wanted to become better at summarizing data, this project will help serve as your guide."

Focus on practical data summarization techniques

"Techniques used by experts in business, science, math"

Instructor needs to improve diction

"The instructor's information is vague & the voice is not clear."

"The presenter needs to improve his pronunciation."

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 Summarizing Data Using Google Sheets with these activities:

Read 'The Visual Display of Quantitative Information'

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Gain a deeper understanding of data visualization best practices from one of the leading experts in the field.

View Beautiful Evidence on Amazon

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Read the book and take notes.
Apply the concepts you learn to your own data visualization projects.

Develop a data analysis plan

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Outline your approach to data analysis to ensure a successful project.

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Define the goals of your data analysis project.
Identify the data sources you will use.
Develop a plan for cleaning and preparing the data.
Choose the appropriate data analysis techniques.
Write a data analysis plan document.

Learn advanced data visualization techniques

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Take the data summarizing skills you've learned in this course to the next level by exploring advanced data visualization techniques.

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Research and learn about different advanced data visualization methods.
Find an online tutorial on advanced data visualization.
Follow the tutorial and apply the techniques to your own data.

One other activity

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Create a data visualization dashboard

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Put your data summarizing and visualization skills into practice by creating an interactive dashboard that showcases your insights.

Browse courses on Interactive Data Visualization

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Gather the data you want to visualize.
Choose the appropriate data visualization tools.
Design and create your dashboard.
Share your dashboard with others.

Career center

Learners who complete Summarizing Data Using Google Sheets will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are in high demand because they can help businesses make better decisions by providing them with insights into their data. This course will teach you how to summarize and analyze data using various techniques, which will make you an attractive candidate for a career in data analysis. In fact, many of the skills you will learn in this course, such as data cleaning, data visualization, and statistical analysis are core competencies for this role.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to help businesses improve their operations and make better decisions. This course provides a strong foundation in data analysis, which will be useful to Business Analysts. For instance, this course will teach you how to identify trends and patterns in data, which can be used to develop recommendations for improving business processes.

See salaries and explore the career path for Business Analyst

Market Researcher

Market Researchers collect and analyze data to help businesses understand their customers and make better marketing decisions. This course can help you develop the skills needed to be a successful Market Researcher. For example, you will learn how to design surveys, collect data, and analyze the results.

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Financial Analyst

Financial Analysts use data to make investment recommendations and provide financial advice to businesses. This course can provide you with the skills needed to be a successful Financial Analyst. For instance, this course will teach you fundamentals of business, accounting, and finance, which are essential for this role.

See salaries and explore the career path for Financial Analyst

Statistician

Statisticians collect, analyze, and interpret data to provide insights into a variety of topics. This course will equip you with the knowledge and skills to become a successful Statistician. For example, this course will teach you how to identify and address bias in data.

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Quantitative Analyst

Quantitative Analysts use data to develop models to solve complex financial problems. This course will provide you with the background and knowledge needed to succeed as a Quantitative Analyst. For example, this course will teach you the mathematics and statistics skills needed to develop models.

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Data Scientist

Data Scientists are responsible for developing and implementing data-driven solutions to business problems. This course can provide you with a foundation in data analysis and machine learning, which are essential for a career in data science. For instance, this course will teach you how to use data cleaning and visualization techniques to create effective data-driven solutions.

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Machine Learning Engineer

Machine Learning Engineers develop and maintain machine learning models. This course may be useful for Machine Learning Engineers because it provides a foundation in machine learning algorithms.

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Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure that stores and processes data. This course may be useful for Data Engineers because it provides a foundation in data management and data warehousing.

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Software Engineer

Software Engineers develop and maintain software applications. This course may be useful for Software Engineers because it provides a foundation in data structures and algorithms.

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Product Manager

Product Managers are responsible for the development and launch of new products. This course may be useful for Product Managers because it provides a foundation in market research and product development.

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Marketing Manager

Marketing Managers are responsible for developing and implementing marketing campaigns. This course may be useful for Marketing Managers because it provides a foundation in marketing principles.

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Sales Manager

Sales Managers are responsible for leading and motivating sales teams. This course may be useful for Sales Managers because it provides a foundation in sales techniques.

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