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Jane Onwuchekwa
In this 2-hour long project-based course, you will learn how to analyse data to draw business insights, Data cleansing, Data validation, conditional formatting, how to use pivot charts and tables, lookup functions, how to structure the business data to easily locate information and provide accurate and complete answers to the question.
Register for this course and see more details by visiting:
OpenCourser.com/course/3hdrqb/creating
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops data analysis, data validation, and data visualization skills essential for business intelligence
Taught by Jane Onwuchekwa, an experienced business intelligence professional
Provides a clear and systematic approach to learning data analysis techniques
Offers practical hands-on exercises to reinforce learning
Ideal for individuals looking to enhance their data analysis capabilities for business applications
May require prior knowledge of basic data management concepts
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Reviews summary
Beginner google sheets
This short, 2 hour course about creating dashboards in Google Sheets is recommended for beginners. Some students found the material too basic, while others appreciated the clear instruction. There were some issues with the instructor's screen, but it is not clear whether the instructor has addressed this or not.
This course is great for beginners.
"It is very short and clear. I loved it. "
This course may be too basic for some.
"A bit too simple for what I was looking for."
There are issues with the instructor's screen display.
"This course is useless as the instructor does not have the correct screen for the student to use to follow along with the instructions."
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 Creating Dashboards in Google Spreadsheets with these
activities:
Organize course materials
Show steps
Organizing your course materials will help you stay on top of the content and make it easier to review and prepare for assessments.
Show steps
-
Create a system for organizing notes, assignments, and other course materials.
-
Review materials regularly to reinforce your understanding.
-
Summarize key concepts and create study guides.
Review basic data analysis skills
Show steps
Reinforces foundational data analysis skills to prepare for learning more advanced concepts
Show steps
-
Go over the concepts of mean, median, and mode
-
Review different types of data distributions
-
Practice creating simple charts and graphs
Review probability and statistics concepts
Show steps
Refreshing your knowledge of probability and statistics will provide a strong foundation for understanding the statistical models and techniques covered in this course.
Browse courses on
Probability
Show steps
-
Review textbooks or online resources on probability and statistics.
-
Solve practice problems to reinforce your understanding.
-
Discuss key concepts with peers or a tutor.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Participate in peer-led study sessions on data structuring
Show steps
Encourages collaboration and knowledge sharing to enhance understanding of data structuring techniques
Show steps
-
Join a study group or create one with peers
-
Discuss different methods of data structuring
-
Share and critique examples of effective data structures
-
Work together to solve data structuring problems
Review Excel formulas
Show steps
Reviewing formulas in Excel will help refresh your prior knowledge and prepare you for learning more advanced Excel functions.
Browse courses on
Excel Formulas
Show steps
-
Open a spreadsheet and create a sample dataset.
-
Insert basic formulas for addition, subtraction, multiplication, and division.
-
Explore and experiment with more complex formulas, such as SUMIF, COUNTIF, and VLOOKUP.
Complete online tutorials on data cleaning and validation
Show steps
Provides step-by-step guidance on essential data preprocessing techniques
Browse courses on
Data Cleaning
Show steps
-
Follow a tutorial on identifying and removing duplicate data
-
Practice handling missing values using different methods
-
Learn techniques for checking data consistency and accuracy
Learn about pivot tables
Show steps
Understanding pivot tables will enable you to organize and summarize large datasets effectively, a skill that is essential for data analysis.
Browse courses on
Pivot Tables
Show steps
-
Watch tutorial videos on creating and using pivot tables.
-
Practice using pivot tables on sample datasets.
-
Apply pivot tables to real-world scenarios, such as analyzing sales data or customer demographics.
Solve data analysis problems
Show steps
Solving data analysis problems will strengthen your analytical skills and problem-solving abilities, which are crucial for success in this course.
Show steps
-
Find online platforms or textbooks that provide data analysis problems.
-
Select problems that align with the topics covered in the course.
-
Work through the problems step-by-step, using the techniques learned in the course.
-
Review your solutions and identify areas for improvement.
Solve practice problems on data analysis using pivot charts and tables
Show steps
Develops proficiency in using pivot tables and charts for efficient data analysis
Browse courses on
Pivot Charts
Show steps
-
Create pivot tables to summarize and group data
-
Use pivot charts to visualize data trends and patterns
-
Solve problems by manipulating and analyzing data using pivot tables and charts
Attend industry conferences and meetups
Show steps
Networking with professionals in the data analysis field will expand your knowledge, provide insights into industry trends, and open doors to potential opportunities.
Show steps
-
Research upcoming industry conferences and meetups.
-
Attend sessions and workshops related to data analysis.
-
Network with speakers, attendees, and potential employers.
Create a data visualization dashboard
Show steps
Creating a data visualization dashboard will allow you to demonstrate your proficiency in presenting data insights effectively, a skill highly sought after in the industry.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset and identify key insights that you want to communicate.
-
Select a data visualization tool, such as Tableau or Power BI.
-
Design and create interactive visualizations that convey the insights clearly.
-
Present your dashboard to peers or industry professionals for feedback.
Develop a data analysis project using lookup functions
Show steps
Provides an opportunity to apply lookup functions in a practical data analysis scenario
Browse courses on
Lookup Functions
Show steps
-
Define the problem and identify the relevant data
-
Use lookup functions to retrieve and combine data from multiple sources
-
Analyze the results and draw insights
-
Present the findings in a clear and concise manner
Contribute to open-source projects
Show steps
Contributing to open-source projects will not only enhance your technical skills but also expose you to real-world data analysis challenges and solutions.
Show steps
-
Identify open-source projects related to data analysis.
-
Review the project documentation and identify areas where you can contribute.
-
Submit pull requests with your contributions.
-
Collaborate with other contributors and maintainers.
Attend a workshop on advanced data analysis techniques
Show steps
Provides exposure to emerging data analysis techniques and best practices
Browse courses on
Advanced Data Analysis
Show steps
-
Research and identify relevant workshops
-
Attend the workshop and actively participate in discussions
-
Apply the learned techniques to personal or professional projects
Participate in a data analysis hackathon
Show steps
Provides a challenging and collaborative environment to apply data analysis skills
Show steps
-
Form a team or join an existing team
-
Identify a problem statement and gather data
-
Develop and implement a data analysis solution
-
Present the solution and compete against other teams
Organize course materials
Show steps
Organizing your course materials will help you stay on top of the content and make it easier to review and prepare for assessments.
Show steps
Show steps
Show steps
- Create a system for organizing notes, assignments, and other course materials.
- Review materials regularly to reinforce your understanding.
- Summarize key concepts and create study guides.
Review basic data analysis skills
Show steps
Reinforces foundational data analysis skills to prepare for learning more advanced concepts
Show steps
Show steps
Show steps
- Go over the concepts of mean, median, and mode
- Review different types of data distributions
- Practice creating simple charts and graphs
Review probability and statistics concepts
Show steps
Refreshing your knowledge of probability and statistics will provide a strong foundation for understanding the statistical models and techniques covered in this course.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review textbooks or online resources on probability and statistics.
- Solve practice problems to reinforce your understanding.
- Discuss key concepts with peers or a tutor.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Participate in peer-led study sessions on data structuring
Show steps
Encourages collaboration and knowledge sharing to enhance understanding of data structuring techniques
Show steps
Show steps
Show steps
- Join a study group or create one with peers
- Discuss different methods of data structuring
- Share and critique examples of effective data structures
- Work together to solve data structuring problems
Review Excel formulas
Show steps
Reviewing formulas in Excel will help refresh your prior knowledge and prepare you for learning more advanced Excel functions.
Browse courses on
Excel Formulas
Show steps
Show steps
Show steps
- Open a spreadsheet and create a sample dataset.
- Insert basic formulas for addition, subtraction, multiplication, and division.
- Explore and experiment with more complex formulas, such as SUMIF, COUNTIF, and VLOOKUP.
Complete online tutorials on data cleaning and validation
Show steps
Provides step-by-step guidance on essential data preprocessing techniques
Browse courses on
Data Cleaning
Show steps
Show steps
Show steps
- Follow a tutorial on identifying and removing duplicate data
- Practice handling missing values using different methods
- Learn techniques for checking data consistency and accuracy
Learn about pivot tables
Show steps
Understanding pivot tables will enable you to organize and summarize large datasets effectively, a skill that is essential for data analysis.
Browse courses on
Pivot Tables
Show steps
Show steps
Show steps
- Watch tutorial videos on creating and using pivot tables.
- Practice using pivot tables on sample datasets.
- Apply pivot tables to real-world scenarios, such as analyzing sales data or customer demographics.
Solve data analysis problems
Show steps
Solving data analysis problems will strengthen your analytical skills and problem-solving abilities, which are crucial for success in this course.
Show steps
Show steps
Show steps
- Find online platforms or textbooks that provide data analysis problems.
- Select problems that align with the topics covered in the course.
- Work through the problems step-by-step, using the techniques learned in the course.
- Review your solutions and identify areas for improvement.
Solve practice problems on data analysis using pivot charts and tables
Show steps
Develops proficiency in using pivot tables and charts for efficient data analysis
Browse courses on
Pivot Charts
Show steps
Show steps
Show steps
- Create pivot tables to summarize and group data
- Use pivot charts to visualize data trends and patterns
- Solve problems by manipulating and analyzing data using pivot tables and charts
Attend industry conferences and meetups
Show steps
Networking with professionals in the data analysis field will expand your knowledge, provide insights into industry trends, and open doors to potential opportunities.
Show steps
Show steps
Show steps
- Research upcoming industry conferences and meetups.
- Attend sessions and workshops related to data analysis.
- Network with speakers, attendees, and potential employers.
Create a data visualization dashboard
Show steps
Creating a data visualization dashboard will allow you to demonstrate your proficiency in presenting data insights effectively, a skill highly sought after in the industry.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset and identify key insights that you want to communicate.
- Select a data visualization tool, such as Tableau or Power BI.
- Design and create interactive visualizations that convey the insights clearly.
- Present your dashboard to peers or industry professionals for feedback.
Develop a data analysis project using lookup functions
Show steps
Provides an opportunity to apply lookup functions in a practical data analysis scenario
Browse courses on
Lookup Functions
Show steps
Show steps
Show steps
- Define the problem and identify the relevant data
- Use lookup functions to retrieve and combine data from multiple sources
- Analyze the results and draw insights
- Present the findings in a clear and concise manner
Contribute to open-source projects
Show steps
Contributing to open-source projects will not only enhance your technical skills but also expose you to real-world data analysis challenges and solutions.
Show steps
Show steps
Show steps
- Identify open-source projects related to data analysis.
- Review the project documentation and identify areas where you can contribute.
- Submit pull requests with your contributions.
- Collaborate with other contributors and maintainers.
Attend a workshop on advanced data analysis techniques
Show steps
Provides exposure to emerging data analysis techniques and best practices
Browse courses on
Advanced Data Analysis
Show steps
Show steps
Show steps
- Research and identify relevant workshops
- Attend the workshop and actively participate in discussions
- Apply the learned techniques to personal or professional projects
Participate in a data analysis hackathon
Show steps
Provides a challenging and collaborative environment to apply data analysis skills
Show steps
Show steps
Show steps
- Form a team or join an existing team
- Identify a problem statement and gather data
- Develop and implement a data analysis solution
- Present the solution and compete against other teams
Career center
Learners who complete Creating Dashboards in Google Spreadsheets will develop knowledge and skills
that may be useful to these careers:
Business Analyst
Business Analyst
A Business Analyst is someone who helps businesses improve their performance by identifying and solving problems. This course can help you develop the skills needed to be successful in this role, such as data analysis, problem-solving, and communication. You will also learn how to use Google Spreadsheets, a popular tool for data analysis.
Data Analyst
Data Analyst
A Data Analyst is someone who collects, cleans, and interprets data to provide insights to businesses. This course can help you develop the skills needed to be successful in this role, such as data wrangling, data visualization, and statistical analysis. You will also learn how to use Google Spreadsheets, a popular tool for data analysis.
Financial Analyst
Financial Analyst
A Financial Analyst is someone who helps businesses make financial decisions. This course can help you develop the skills needed to be successful in this role, such as data analysis, financial modeling, and valuation. You will also learn how to use Google Spreadsheets, a popular tool for financial analysis.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is someone who uses mathematical models to solve business problems. This course can help you develop the skills needed to be successful in this role, such as data analysis, optimization, and simulation. You will also learn how to use Google Spreadsheets, a popular tool for data analysis.
Marketing Analyst
Marketing Analyst
A Marketing Analyst is someone who helps businesses understand their customers and develop marketing campaigns. This course can help you develop the skills needed to be successful in this role, such as data analysis, market research, and campaign management. You will also learn how to use Google Spreadsheets, a popular tool for data analysis.
Data Scientist
Data Scientist
A Data Scientist is someone who uses data to build predictive models and solve business problems. This course can help you develop the skills needed to be successful in this role, such as data analysis, machine learning, and statistics. You will also learn how to use Google Spreadsheets, a popular tool for data analysis.
Management Consultant
Management Consultant
A Management Consultant is someone who helps businesses improve their performance by providing advice and recommendations. This course can help you develop the skills needed to be successful in this role, such as data analysis, problem-solving, and communication. You will also learn how to use Google Spreadsheets, a popular tool for data analysis.
Software Engineer
Software Engineer
A Software Engineer is someone who designs, develops, and maintains software systems. This course may be useful for you if you are interested in a career in software engineering, as it will help you develop the skills needed to analyze and interpret data. You will also learn how to use Google Spreadsheets, a popular tool for data analysis.
Product Manager
Product Manager
A Product Manager is someone who is responsible for the development and launch of new products. This course may be useful for you if you are interested in a career in product management, as it will help you develop the skills needed to analyze and interpret data. You will also learn how to use Google Spreadsheets, a popular tool for data analysis.
Investment Banker
Investment Banker
An Investment Banker is someone who is responsible for helping companies raise capital. This course may be useful for you if you are interested in a career in investment banking, as it will help you develop the skills needed to analyze and interpret data. You will also learn how to use Google Spreadsheets, a popular tool for financial analysis.
Auditor
Auditor
An Auditor is someone who is responsible for examining the financial records of a business to ensure that they are accurate and compliant with regulations. This course may be useful for you if you are interested in a career in auditing, as it will help you develop the skills needed to analyze and interpret data. You will also learn how to use Google Spreadsheets, a popular tool for financial analysis.
Tax Accountant
Tax Accountant
A Tax Accountant is someone who is responsible for preparing and filing tax returns for individuals and businesses. This course may be useful for you if you are interested in a career in tax accounting, as it will help you develop the skills needed to analyze and interpret data. You will also learn how to use Google Spreadsheets, a popular tool for financial analysis.
Accountant
Accountant
An Accountant is someone who is responsible for managing the financial records of a business. This course may be useful for you if you are interested in a career in accounting, as it will help you develop the skills needed to analyze and interpret data. You will also learn how to use Google Spreadsheets, a popular tool for financial analysis.
Forensic Accountant
Forensic Accountant
A Forensic Accountant is someone who is responsible for investigating financial crimes. This course may be useful for you if you are interested in a career in forensic accounting, as it will help you develop the skills needed to analyze and interpret data. You will also learn how to use Google Spreadsheets, a popular tool for financial analysis.
For more career information including salaries, visit:
OpenCourser.com/course/3hdrqb/creating
Reading list
We've selected ten 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
Creating Dashboards in Google Spreadsheets.
Focuses on data analytics using Google Spreadsheets. It covers data cleaning, data analysis, and data visualization techniques, which are essential for creating effective dashboards.
Provides a comparison of data analysis techniques in Excel and Google Sheets. It covers topics such as data cleaning, data analysis, and data visualization, which can be helpful for learners who want to understand the strengths and weaknesses of both tools.
Provides an overview of Google Sheets and its features for business users. It covers topics such as data management, collaboration, and automation, which are important for creating dashboards.
While targeting Excel users, this book offers valuable insights into dashboard design principles and best practices. It can serve as a complementary resource for learners interested in understanding the broader concepts and techniques behind effective dashboard creation.
Provides an introduction to Tableau, a popular data visualization tool. While it is not specific to Google Sheets, it provides a good overview of data visualization concepts and techniques.
Provides a comprehensive overview of Excel functions and formulas. While it is not specific to Google Sheets, it provides a good foundation for learners who want to understand the concepts behind formulas and functions.
This comprehensive guide provides a foundational understanding of business analysis, including data gathering, analysis, and decision-making. It offers a broader context for the course's focus on dashboard creation and highlights the importance of business knowledge in data interpretation.
This introductory guide to data science provides a foundation for understanding the concepts and techniques behind data analysis and dashboard creation. It offers a broader perspective on the field and can be useful as background reading for learners interested in data science.
Save
This practical guide focuses on data visualization techniques, principles, and tools. It provides a deeper understanding of the theory and best practices behind effective data visualization, complementing the course's emphasis on dashboard design.
Save
This classic work on dashboard design provides insights into the principles of effective data visualization and storytelling. It emphasizes the importance of clarity, context, and user experience, offering a foundational understanding that complements the course's practical focus.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3hdrqb/creating
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Jane Onwuchekwa
Good to know
Develops data analysis, data validation, and data visualization skills essential for business intelligence
Taught by Jane Onwuchekwa, an experienced business intelligence professional
Provides a clear and systematic approach to learning data analysis techniques
Offers practical hands-on exercises to reinforce learning
Ideal for individuals looking to enhance their data analysis capabilities for business applications
May require prior knowledge of basic data management concepts
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