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Daria Toropchyn
By the end of this project, you will create a free account on Microsoft 365, will get access to Microsoft Excel, you will create a table with data that you will later be able to manipulate to calculate sums, average amounts, percentages, and also calculate with certain criteria. Your new skills will help you efficiently manipulate data and operate with formulas that can help make more efficient management decisions in the future.
Register for this course and see more details by visiting:
OpenCourser.com/course/eg8alq/data
What's inside
Syllabus
Project Overview
By the end of this project, you will create a free account on Microsoft 365, will get access to Microsoft Excel, you will create a table with data that you will later be able to manipulate to calculate sums, average amounts, percentages, and also calculate with certain criteria.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides learners with basic spreadsheet and spreadsheet formula skills, which are essential for work in many industries
Utilizes Microsoft 365, which is a leading tool that many industries rely on for spreadsheet operations
Features hands-on exercises that allow learners to apply their new skills immediately
Covers essential Excel functions, such as calculating sums, percentages, and averages, which are widely used in various industries
No prerequisite knowledge is required, making it suitable for learners with no prior spreadsheet experience
Save this course
Save Data calculations in Microsoft Excel to your list so you can find it easily later:
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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 Data calculations in Microsoft Excel with these
activities:
Organize and review course materials
Show steps
Reinforce understanding of course concepts by actively reviewing and organizing notes, assignments, and other materials.
Show steps
-
Gather all course materials, including lecture notes, assignments, and readings.
-
Create a structured system for organizing the materials.
-
Regularly review the materials to reinforce learning and identify areas for further clarification.
Review basic statistical concepts
Show steps
Strengthen foundational knowledge of statistical concepts to support data manipulation and analysis tasks in Excel.
Browse courses on
Statistics
Show steps
-
Review notes or online resources on basic statistics.
-
Practice solving statistical problems to refresh your understanding.
Attend Excel workshops or webinars
Show steps
Gain exposure to best practices and advanced techniques for data manipulation in Excel from industry experts.
Browse courses on
Microsoft Excel
Show steps
-
Research upcoming Excel workshops or webinars.
-
Register and attend the events.
-
Take notes and engage with presenters to gain insights.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore Excel's built-in functions and formulas
Show steps
Gain a deeper understanding of the range of functions and formulas available in Excel to enhance data manipulation skills.
Browse courses on
Microsoft Excel
Show steps
-
Access Microsoft's support website or online forums.
-
Search for specific functions or formulas related to data manipulation.
-
Review examples and syntax to understand their usage and implementation.
Practice calculations on sample datasets
Show steps
Develop proficiency in using formulas and functions within Excel to manipulate data and perform calculations.
Browse courses on
Microsoft Excel
Show steps
-
Download sample datasets provided in the course materials.
-
Follow step-by-step instructions to calculate sums, averages, percentages, and filter data using criteria.
-
Check your results against provided answer keys.
Collaborate with peers on data analysis projects
Show steps
Enhance problem-solving and critical thinking skills by working with others to analyze data and find solutions.
Browse courses on
Data Analysis
Show steps
-
Form study groups with classmates.
-
Choose datasets and analysis tasks relevant to the course.
-
Discuss findings, compare approaches, and provide constructive feedback.
Create a visual representation of data insights
Show steps
Develop effective communication skills by presenting data insights in visually appealing and impactful ways.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset and identify key insights.
-
Select appropriate visualization tools, such as charts or graphs.
-
Design clear and concise visuals that effectively convey the insights.
-
Present your visualizations to classmates or share them online.
Volunteer with organizations using Excel for data analysis
Show steps
Apply your Excel skills in a practical setting, contribute to meaningful projects, and expand your professional network.
Browse courses on
Data Analysis
Show steps
-
Identify organizations that utilize Excel for data analysis.
-
Contact the organizations and inquire about volunteer opportunities.
-
Assist with data collection, analysis, and reporting tasks.
Organize and review course materials
Show steps
Reinforce understanding of course concepts by actively reviewing and organizing notes, assignments, and other materials.
Show steps
Show steps
Show steps
- Gather all course materials, including lecture notes, assignments, and readings.
- Create a structured system for organizing the materials.
- Regularly review the materials to reinforce learning and identify areas for further clarification.
Review basic statistical concepts
Show steps
Strengthen foundational knowledge of statistical concepts to support data manipulation and analysis tasks in Excel.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review notes or online resources on basic statistics.
- Practice solving statistical problems to refresh your understanding.
Attend Excel workshops or webinars
Show steps
Gain exposure to best practices and advanced techniques for data manipulation in Excel from industry experts.
Browse courses on
Microsoft Excel
Show steps
Show steps
Show steps
- Research upcoming Excel workshops or webinars.
- Register and attend the events.
- Take notes and engage with presenters to gain insights.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore Excel's built-in functions and formulas
Show steps
Gain a deeper understanding of the range of functions and formulas available in Excel to enhance data manipulation skills.
Browse courses on
Microsoft Excel
Show steps
Show steps
Show steps
- Access Microsoft's support website or online forums.
- Search for specific functions or formulas related to data manipulation.
- Review examples and syntax to understand their usage and implementation.
Practice calculations on sample datasets
Show steps
Develop proficiency in using formulas and functions within Excel to manipulate data and perform calculations.
Browse courses on
Microsoft Excel
Show steps
Show steps
Show steps
- Download sample datasets provided in the course materials.
- Follow step-by-step instructions to calculate sums, averages, percentages, and filter data using criteria.
- Check your results against provided answer keys.
Collaborate with peers on data analysis projects
Show steps
Enhance problem-solving and critical thinking skills by working with others to analyze data and find solutions.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Form study groups with classmates.
- Choose datasets and analysis tasks relevant to the course.
- Discuss findings, compare approaches, and provide constructive feedback.
Create a visual representation of data insights
Show steps
Develop effective communication skills by presenting data insights in visually appealing and impactful ways.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset and identify key insights.
- Select appropriate visualization tools, such as charts or graphs.
- Design clear and concise visuals that effectively convey the insights.
- Present your visualizations to classmates or share them online.
Volunteer with organizations using Excel for data analysis
Show steps
Apply your Excel skills in a practical setting, contribute to meaningful projects, and expand your professional network.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify organizations that utilize Excel for data analysis.
- Contact the organizations and inquire about volunteer opportunities.
- Assist with data collection, analysis, and reporting tasks.
Career center
Learners who complete Data calculations in Microsoft Excel will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts examine and interpret data, providing insights to help businesses make better decisions. Taking this course may enhance your skills in data manipulation and calculation, which are vital for success in this role.
Business Analyst
Business Analyst
Business Analysts bridge the gap between business and technology by understanding business needs and translating them into technical requirements. This course can help enhance your ability to analyze data and perform calculations to support decision-making.
Data Scientist
Data Scientist
Data Scientists use scientific methods to extract knowledge and insights from data. This course may help strengthen your foundation in data manipulation and calculations, which are crucial for success in this field.
Financial Analyst
Financial Analyst
Financial Analysts help companies make smart decisions about money. This course will help build a foundation for creating data-driven recommendations by teaching you to efficiently manipulate data and operate with formulas.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course may be helpful for building a foundation in data manipulation and calculations, which are essential for this role.
Econometrician
Econometrician
Econometricians use statistical methods to analyze economic data. This course may be useful for building a foundation in data manipulation and calculations, which are essential for this role.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use analytical methods to improve efficiency and decision-making in organizations. This course may be useful for developing skills in data manipulation and calculations, which are essential for this role.
Actuary
Actuary
Actuaries assess and manage financial risks. This course may be helpful for building a foundation in data manipulation and calculations, which are important for understanding and managing risk.
Market Research Analyst
Market Research Analyst
Market Research Analysts conduct research to determine a product's potential in the market. This course may enhance your ability to manipulate data and perform calculations to gain actionable insights from market research.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and spread of diseases. This course may be helpful for building a foundation in data manipulation and calculations, which are important for analyzing and interpreting epidemiological data.
Supply Chain Manager
Supply Chain Manager
Supply Chain Managers oversee the flow of goods and services from suppliers to customers. This course may be helpful for building a foundation in data manipulation and calculations, which are important for optimizing supply chains and making data-driven decisions.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of an organization. This course may be helpful for building a foundation in data manipulation and calculations, which are important for optimizing operations and making data-driven decisions.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. This course may be useful for building a foundation in data manipulation and calculations, which are essential skills for Statisticians.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for enhancing your skills in data manipulation and calculations, which can be applied in various aspects of software development.
Database Administrator
Database Administrator
Database Administrators ensure the efficient and reliable operation of databases. This course may be helpful for building a foundation in data manipulation and calculations, which are important for managing and maintaining databases.
For more career information including salaries, visit:
OpenCourser.com/course/eg8alq/data
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
Data calculations in Microsoft Excel.
Save
Is an all-in-one reference book that will help with any Excel task or problem. This book is great to use when wanting to learn how to do one specific task within Excel.
Although older, Microsoft Excel 2019 Data Analysis and Business Modeling has been updated with information relating to Excel 2019. It good book to use as a general reference when using Excel.
Comprehensive and practical guide to data analysis using Python. It covers a wide range of topics, including data cleaning, data exploration, and data visualization.
Save
Comprehensive and practical guide to data analysis using R. It covers a wide range of topics, including data cleaning, data exploration, and data visualization.
Provides a comprehensive and practical guide to Bayesian statistics using R and Stan. It covers a wide range of topics, including Bayesian inference, Bayesian modeling, and Bayesian computation.
Is helpful as a quick reference to look up different functions or formulas you may need help with.
Is commonly used for beginners or those who want to brush up on their Microsoft Excel skills. This textbook gradually builds upon skills to help build confidence in using Microsoft Excel.
Save
Comprehensive and technical guide to deep learning. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive and technical guide to probabilistic graphical models. It covers a wide range of topics, including Bayesian networks, Markov networks, and hidden Markov models.
Provides a comprehensive and technical guide to Bayesian data analysis. It covers a wide range of topics, including Bayesian inference, Bayesian modeling, and Bayesian computation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/eg8alq/data
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Effort
1.5 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Daria Toropchyn
Language
English
Good to know
Provides learners with basic spreadsheet and spreadsheet formula skills, which are essential for work in many industries
Utilizes Microsoft 365, which is a leading tool that many industries rely on for spreadsheet operations
Features hands-on exercises that allow learners to apply their new skills immediately
Covers essential Excel functions, such as calculating sums, percentages, and averages, which are widely used in various industries
No prerequisite knowledge is required, making it suitable for learners with no prior spreadsheet experience
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