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Omnya Khaled
In this 1-hour 30-mins long project-based course, you will learn the responsibilities of a Business Analyst such as Learn the basic concepts of data analysis and descriptive statistics. Learn how to manipulate, analyze, and visualize data in Google Sheets using functions, aggregation functions, and logical aggregation functions. and present data using different types of charts.
Read more
In this 1-hour 30-mins long project-based course, you will learn the responsibilities of a Business Analyst such as Learn the basic concepts of data analysis and descriptive statistics. Learn how to manipulate, analyze, and visualize data in Google Sheets using functions, aggregation functions, and logical aggregation functions. and present data using different types of charts.
Read more
In this 1-hour 30-mins long project-based course, you will learn the responsibilities of a Business Analyst such as Learn the basic concepts of data analysis and descriptive statistics. Learn how to manipulate, analyze, and visualize data in Google Sheets using functions, aggregation functions, and logical aggregation functions. and present data using different types of charts.
This course works best for learners who wish to learn about Business Analysis and wish to learn about the role of a Business Analyst.
Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/jdcleb/introduction
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What's inside
Syllabus
Project Overview
By the end of this project, you will be able to identify the basics of the spreadsheet software and apply the functions to do mathematical operations using aggregation and logical functions such as SUM and COUNTIF if to learn how to deal and manipulate data. you will be able to create tables and functions to summarize and analyze your data sets. Finally, you will apply to manage your presentation by learning data virtualization using charts. For this project, we will be using free online software called Google sheets. If you do not have a Gmail account navigate to https://www.google.com/gmail/ to set up your account.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides project-based learning, allowing learners to apply concepts immediately
Provides hands-on practice with Google Sheets, a widely used industry tool
Suitable for beginners seeking an introduction to business analysis and spreadsheet software basics
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Reviews summary
Spreadsheet skills for beginners
Learners say this good introductory course on business analysis using spreadsheets is very suitable for beginners. The well-structured course has clear, simple lessons that break down concepts into easy-to-understand steps. Reviews praise the knowledgeable instructor, the helpful examples, and the engaging guided project that allows students to apply what they have learned. Some students note that the course covers very basic functions, which may not be suitable for those who are looking for a more advanced course.
Instructor provides thorough explanations.
"The teacher is very informed and provides an excellent introduction to the Topic"
"crisp and clear instructions made it easy to grasp"
"Everthing was explained in a clear & understandable manner."
Guided course project allows learners to practice and apply new skills.
"Really a good guided project to brush up our spreadsheet skills!"
"The project is well-guided and I found it easy to understand what the instructor was instructing."
"Great course for beginners. Also good as a refresher course. Fantastic instructor."
Course is well-received for learners new to spreadsheets and business analysis.
"Very good for beginners."
"good for beginners , clear and simple steps"
"Good basic intro"
Course focuses on foundational skills and functions.
"way too easy"
"Very basic course on excel functions, charts and graphs, explained very well by the instructor."
"This is far too basic for a full project."
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 Introduction to Business Analysis Using Spreadsheets: Basics with these
activities:
Review basic statistics concepts
Show steps
Ensure you have a solid foundation in statistics to maximize your comprehension of data analysis techniques.
Browse courses on
Statistics
Show steps
-
Review notes or textbooks from previous statistics courses.
-
Complete online tutorials or quizzes on basic statistics.
Practice with basic spreadsheet functionality
Show steps
Refresh your understanding of basic spreadsheet functionality to prepare for the course's practical exercises.
Browse courses on
Spreadsheet Basics
Show steps
-
Create a new spreadsheet in Google Sheets.
-
Enter sample data into the spreadsheet.
-
Use basic functions like SUM and AVERAGE to perform simple calculations.
Read 'Data Analysis Using Google Sheets' by Michael Miller
Show steps
Gain practical insights and expertise in data analysis using Google Sheets.
View
Applied Regression: An Introduction...
on Amazon
Show steps
-
Purchase or borrow the book.
-
Read through the chapters and practice the examples.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Join a study group
Show steps
Engage with peers to exchange ideas, reinforce concepts, and enhance your learning experience.
Browse courses on
Collaboration
Show steps
-
Find or form a study group with classmates.
-
Set regular meeting times and discuss course topics.
-
Work together on assignments and practice exercises.
Solve data analysis exercises
Show steps
Reinforce your understanding of data analysis concepts by solving practice exercises.
Browse courses on
Data Analysis
Show steps
-
Find a set of data analysis exercises online or in a textbook.
-
Work through the exercises, applying the concepts learned in the course.
-
Check your answers against the provided solutions.
Practice data manipulation exercises
Show steps
Strengthen your understanding of data manipulation techniques and how to apply them in real-world scenarios.
Browse courses on
Data Manipulation
Show steps
-
Complete the practice exercises provided in the course materials.
-
Create your own data sets and practice manipulating them using the techniques you've learned.
Attend industry webinars or conferences
Show steps
Connect with professionals in the field, expand your knowledge, and stay up-to-date on industry trends.
Browse courses on
Networking
Show steps
-
Research industry webinars or conferences related to Business Analysis and data analytics.
-
Register and attend the events.
-
Network with attendees and speakers.
Develop a data analysis dashboard
Show steps
Apply your skills to create a data analysis dashboard that visually represents insights from a given dataset.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset that interests you.
-
Analyze the data and identify key insights.
-
Design and create a dashboard using Google Sheets or a data visualization tool.
-
Share your dashboard with others and present your findings.
Develop a data dashboard
Show steps
Apply your data analysis and visualization skills to create a valuable tool for presenting data insights.
Browse courses on
Data Visualization
Show steps
-
Identify a data set that you want to present.
-
Design a dashboard layout and choose appropriate charts.
-
Create the dashboard using Google Sheets or other visualization tools.
Explore advanced data analysis techniques
Show steps
Expand your data analysis knowledge and skills by delving into more advanced topics.
Browse courses on
Advanced Data Analysis
Show steps
-
Identify areas where you want to enhance your data analysis capabilities.
-
Find tutorials or courses on advanced data analysis techniques.
-
Apply what you've learned to real-world data sets or projects.
Create a data analysis project
Show steps
Apply your learnings to a real-world scenario by conducting a data analysis project.
Show steps
-
Identify a business problem or opportunity that can be addressed using data.
-
Collect and clean the data.
-
Analyze the data and draw insights.
-
Create a report or presentation to communicate your findings.
Review basic statistics concepts
Show steps
Ensure you have a solid foundation in statistics to maximize your comprehension of data analysis techniques.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review notes or textbooks from previous statistics courses.
- Complete online tutorials or quizzes on basic statistics.
Practice with basic spreadsheet functionality
Show steps
Refresh your understanding of basic spreadsheet functionality to prepare for the course's practical exercises.
Browse courses on
Spreadsheet Basics
Show steps
Show steps
Show steps
- Create a new spreadsheet in Google Sheets.
- Enter sample data into the spreadsheet.
- Use basic functions like SUM and AVERAGE to perform simple calculations.
Read 'Data Analysis Using Google Sheets' by Michael Miller
Show steps
Gain practical insights and expertise in data analysis using Google Sheets.
View
Applied Regression: An Introduction...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book.
- Read through the chapters and practice the examples.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Join a study group
Show steps
Engage with peers to exchange ideas, reinforce concepts, and enhance your learning experience.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Find or form a study group with classmates.
- Set regular meeting times and discuss course topics.
- Work together on assignments and practice exercises.
Solve data analysis exercises
Show steps
Reinforce your understanding of data analysis concepts by solving practice exercises.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a set of data analysis exercises online or in a textbook.
- Work through the exercises, applying the concepts learned in the course.
- Check your answers against the provided solutions.
Practice data manipulation exercises
Show steps
Strengthen your understanding of data manipulation techniques and how to apply them in real-world scenarios.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Complete the practice exercises provided in the course materials.
- Create your own data sets and practice manipulating them using the techniques you've learned.
Attend industry webinars or conferences
Show steps
Connect with professionals in the field, expand your knowledge, and stay up-to-date on industry trends.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Research industry webinars or conferences related to Business Analysis and data analytics.
- Register and attend the events.
- Network with attendees and speakers.
Develop a data analysis dashboard
Show steps
Apply your skills to create a data analysis dashboard that visually represents insights from a given dataset.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset that interests you.
- Analyze the data and identify key insights.
- Design and create a dashboard using Google Sheets or a data visualization tool.
- Share your dashboard with others and present your findings.
Develop a data dashboard
Show steps
Apply your data analysis and visualization skills to create a valuable tool for presenting data insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a data set that you want to present.
- Design a dashboard layout and choose appropriate charts.
- Create the dashboard using Google Sheets or other visualization tools.
Explore advanced data analysis techniques
Show steps
Expand your data analysis knowledge and skills by delving into more advanced topics.
Browse courses on
Advanced Data Analysis
Show steps
Show steps
Show steps
- Identify areas where you want to enhance your data analysis capabilities.
- Find tutorials or courses on advanced data analysis techniques.
- Apply what you've learned to real-world data sets or projects.
Create a data analysis project
Show steps
Apply your learnings to a real-world scenario by conducting a data analysis project.
Show steps
Show steps
Show steps
- Identify a business problem or opportunity that can be addressed using data.
- Collect and clean the data.
- Analyze the data and draw insights.
- Create a report or presentation to communicate your findings.
Career center
Learners who complete Introduction to Business Analysis Using Spreadsheets: Basics will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to find trends and patterns. They use statistical software to perform analysis and create reports and visualizations to communicate their findings. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Data Analysts. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in data analysis projects.
Business Analyst
Business Analyst
Business Analysts identify and solve business problems by understanding the needs of the business and stakeholders. They use data analysis and other techniques to develop solutions that improve efficiency and performance. This course provides an introduction to business analysis and the use of spreadsheet software for data analysis and visualization. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in business analysis projects.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make investment recommendations and provide advice to clients. They analyze financial statements, conduct research, and develop models to forecast future performance. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Financial Analysts. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in financial analysis projects.
Market Research Analyst
Market Research Analyst
Market Research Analysts conduct research to understand consumer behavior and market trends. They use data analysis and other techniques to develop insights that help businesses make informed decisions. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Market Research Analysts. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in market research projects.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve the efficiency and effectiveness of business processes. They use data analysis and other techniques to develop models that simulate and optimize business operations. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Operations Research Analysts. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in operations research projects.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to assess risk and make investment decisions. They analyze data and develop models to predict future performance and identify trading opportunities. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Quantitative Analysts. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in quantitative analysis projects.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks that could impact a business. They use data analysis and other techniques to develop strategies to mitigate risks and protect the business. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Risk Analysts. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in risk analysis projects.
Management Consultant
Management Consultant
Management Consultants help businesses improve their performance by identifying and solving problems. They use data analysis and other techniques to develop solutions that improve efficiency and effectiveness. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Management Consultants. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in management consulting projects.
Data Scientist
Data Scientist
Data Scientists use data to develop models and algorithms that solve business problems. They use data analysis and other techniques to extract insights from data and make predictions. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Data Scientists. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in data science projects.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to draw conclusions about the world. They use statistical software to perform analysis and create reports and visualizations to communicate their findings. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Statisticians. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in statistical projects.
Auditor
Auditor
Auditors examine financial records and other data to ensure that they are accurate and comply with regulations. They use data analysis and other techniques to identify discrepancies and assess risk. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Auditors. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in audit projects.
Tax Accountant
Tax Accountant
Tax Accountants prepare tax returns and advise clients on tax matters. They use data analysis and other techniques to calculate taxes and identify deductions. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Tax Accountants. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in tax accounting projects.
Budget Analyst
Budget Analyst
Budget Analysts develop and implement budgets for organizations. They use data analysis and other techniques to forecast revenue and expenses and to allocate resources. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Budget Analysts. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in budget analysis projects.
Financial Planner
Financial Planner
Financial Planners help individuals and families plan for their financial future. They use data analysis and other techniques to assess risk, develop investment strategies, and create financial plans. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Financial Planners. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in financial planning projects.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and calculate insurance premiums. They use data analysis and other techniques to develop models that predict future events and assess risk. This course provides a foundation in data analysis and spreadsheet software, which are essential skills for Actuaries. The course covers topics such as data manipulation, aggregation functions, and data visualization, which are all used in actuarial projects.
For more career information including salaries, visit:
OpenCourser.com/course/jdcleb/introduction
Reading list
We've selected seven 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
Introduction to Business Analysis Using Spreadsheets: Basics.
Provides a comprehensive overview of statistics for business and economics, including descriptive statistics, inferential statistics, and regression analysis. It valuable resource for learners who want to develop their statistical skills.
Provides a clear and concise overview of business analysis, including the different types of business analysis, the tools and techniques used by business analysts, and the career path for business analysts. It great resource for learners who are new to business analysis.
Provides a practical guide to building a successful startup, including how to validate your idea, how to build a prototype, and how to get your product to market. It valuable resource for learners who want to start their own business.
Provides a comprehensive overview of the business analyst role, including the different types of business analysis, the tools and techniques used by business analysts, and the career path for business analysts. It valuable resource for learners who are new to business analysis.
Provides a clear and concise overview of business intelligence, including the different types of business intelligence, the tools and techniques used by business intelligence professionals, and the career path for business intelligence professionals. It great resource for learners who are new to business intelligence.
Provides a comprehensive overview of data warehousing, including the different types of data warehouses, the tools and techniques used by data warehouse professionals, and the career path for data warehouse professionals. It valuable resource for learners who are new to data warehousing.
Provides a clear and concise overview of machine learning, including the different types of machine learning, the tools and techniques used by machine learning professionals, and the career path for machine learning professionals. It great resource for learners who are new to machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jdcleb/introduction
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Effort
1 hour 30 minutes
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Omnya Khaled
Language
English
Good to know
Provides project-based learning, allowing learners to apply concepts immediately
Provides hands-on practice with Google Sheets, a widely used industry tool
Suitable for beginners seeking an introduction to business analysis and spreadsheet software basics
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