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Omnya Khaled
In this 1-hour long project-based course, you will learn how to manipulate data by formulas and apply the functions to extract the words from the text. Moreover, you will be able to identify and manage your string data. Finally, you will be able to create...
Read more
In this 1-hour long project-based course, you will learn how to manipulate data by formulas and apply the functions to extract the words from the text. Moreover, you will be able to identify and manage your string data. Finally, you will be able to create...
Read more
In this 1-hour long project-based course, you will learn how to manipulate data by formulas and apply the functions to extract the words from the text. Moreover, you will be able to identify and manage your string data. Finally, you will be able to create pivot tables and lookup functions to summarize and analyze your data sets. This project will show you how to Manipulate text and how to analyze it to present it professionally in different ways.
This guided project is for people in the field of business and data analysis. It provides you with important steps to be a data analyst. Moreover, it equips you with the knowledge in spreadsheets related to business analysis and how to manipulate data by functions.
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/t05aus/data
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what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners and strengthens an existing foundation for intermediate learners in spreadsheets and business analysis
Covers important steps to becoming a data analyst for learners in business and data analysis
Explores data manipulation formula and functions for extracting words from text
Helps learners identify and manage string data
Teaches how to create pivot tables and lookup functions for summarizing and analyzing data sets
Requires foundational data analysis knowledge and familiarity with spreadsheets
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Save Data Manipulation and Business Analysis using Spreadsheets to your list so you can find it easily later:
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Reviews summary
Good course on spreadsheet data manipulation
This course on data manipulation and business analysis using spreadsheets is well-received by learners, with an average rating of 3.8 out of 5 across 10 reviews. However, some students note that the course could have more in-depth content and more challenging activities.
Simple examples are easy to understand.
"The examples were too simple..."
Practical examples are useful.
"You can use what you learn in many other cases"
Course does not go into enough depth.
"The course covered very little..."
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 Manipulation and Business Analysis using Spreadsheets with these
activities:
Learn the Python basics
Show steps
This activity will give you a strong foundation in Python's basic syntax and semantics, which will facilitate the learning of
Browse courses on
Python
Show steps
-
Follow a free online tutorial that introduces the Python basics.
-
Work through some Python exercises.
Recall your predicate logic abilities
Show steps
This activity will update your knowledge of predicate logic, essential for understanding topics in this course such as data types.
Browse courses on
Boolean Algebra
Show steps
-
Review predicate logic operators (e.g., ∀, ∃, ∧, ∨, →, ↔).
-
Refresh the notion of predicate calculus.
-
Solve a few practice problems.
Design a cheat sheet or summary
Show steps
Designing a cheat sheet will help you better understand and recall the different formulas we will cover to manipulate data.
Show steps
-
Create flashcards or other study materials.
-
Review regularly.
-
List down the spreadsheet formulas you need to memorize.
-
Teach the formulas to someone else.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve practice problems on data manipulation
Show steps
This will help you apply the concepts of data manipulation in practice and solidify your understanding.
Browse courses on
Data Manipulation
Show steps
-
Find a set of practice problems online.
-
Work through the problems.
-
Check your answers.
Participate in a data analysis competition
Show steps
This will test your skills and demonstrate your understanding of the concepts we will cover in this course.
Browse courses on
Data Analysis
Show steps
-
Find a data analysis competition that is relevant to your interests.
-
Register for the competition.
-
Prepare for the competition.
-
Compete in the competition.
Create a data visualization dashboard
Show steps
This will help you apply your knowledge of data manipulation and visualization to a real-world problem.
Browse courses on
Data Visualization
Show steps
-
Identify a dataset that you would like to visualize.
-
Clean and prepare the data.
-
Create a data visualization dashboard using a tool like Tableau or Power BI.
-
Share your dashboard with others.
Volunteer with a non-profit organization that uses data analysis
Show steps
This will give you real-world experience in using data analysis to solve problems and make a difference in the world.
Browse courses on
Data Analysis
Show steps
-
Find a non-profit organization that uses data analysis.
-
Contact the organization and inquire about volunteer opportunities.
-
Volunteer your time and skills.
Learn the Python basics
Show steps
This activity will give you a strong foundation in Python's basic syntax and semantics, which will facilitate the learning of
Browse courses on
Python
Show steps
Show steps
Show steps
- Follow a free online tutorial that introduces the Python basics.
- Work through some Python exercises.
Recall your predicate logic abilities
Show steps
This activity will update your knowledge of predicate logic, essential for understanding topics in this course such as data types.
Browse courses on
Boolean Algebra
Show steps
Show steps
Show steps
- Review predicate logic operators (e.g., ∀, ∃, ∧, ∨, →, ↔).
- Refresh the notion of predicate calculus.
- Solve a few practice problems.
Design a cheat sheet or summary
Show steps
Designing a cheat sheet will help you better understand and recall the different formulas we will cover to manipulate data.
Show steps
Show steps
Show steps
- Create flashcards or other study materials.
- Review regularly.
- List down the spreadsheet formulas you need to memorize.
- Teach the formulas to someone else.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve practice problems on data manipulation
Show steps
This will help you apply the concepts of data manipulation in practice and solidify your understanding.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Find a set of practice problems online.
- Work through the problems.
- Check your answers.
Participate in a data analysis competition
Show steps
This will test your skills and demonstrate your understanding of the concepts we will cover in this course.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a data analysis competition that is relevant to your interests.
- Register for the competition.
- Prepare for the competition.
- Compete in the competition.
Create a data visualization dashboard
Show steps
This will help you apply your knowledge of data manipulation and visualization to a real-world problem.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a dataset that you would like to visualize.
- Clean and prepare the data.
- Create a data visualization dashboard using a tool like Tableau or Power BI.
- Share your dashboard with others.
Volunteer with a non-profit organization that uses data analysis
Show steps
This will give you real-world experience in using data analysis to solve problems and make a difference in the world.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a non-profit organization that uses data analysis.
- Contact the organization and inquire about volunteer opportunities.
- Volunteer your time and skills.
Career center
Learners who complete Data Manipulation and Business Analysis using Spreadsheets will develop knowledge and skills
that may be useful to these careers:
Business Analyst
Business Analyst
**Business Analysts** use data to help businesses understand their customers, competitors, and market opportunities. They work with stakeholders to identify business needs and develop solutions that can improve efficiency and profitability. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Business Analysts as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Data Analyst
Data Analyst
**Data Analysts** use their knowledge of data manipulation and analysis to help businesses make informed decisions. They work with large datasets to identify trends, patterns, and insights that can help businesses improve their operations, marketing, and customer service. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Data Analysts as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Management Consultant
Management Consultant
**Management Consultants** help businesses improve their performance by providing advice and guidance on strategy, operations, and technology. They work with clients to identify problems and develop solutions that can help businesses achieve their goals. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Management Consultants as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Operations Research Analyst
Operations Research Analyst
**Operations Research Analysts** use data to help businesses improve their operations. They work with data to identify inefficiencies and develop solutions that can help businesses improve their productivity and efficiency. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Operations Research Analysts as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Financial Analyst
Financial Analyst
**Financial Analysts** use data to help businesses make investment decisions. They work with financial data to identify trends and patterns that can help businesses make informed decisions about where to invest their money. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Financial Analysts as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Marketing Analyst
Marketing Analyst
**Marketing Analysts** use data to help businesses understand their customers and develop marketing campaigns that are more likely to be successful. They work with data to identify trends and patterns that can help businesses target their marketing efforts and improve their ROI. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Marketing Analysts as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Data Scientist
Data Scientist
**Data Scientists** use data to develop new products and services. They work with data to identify trends and patterns that can help businesses develop new products and services that meet the needs of their customers. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Data Scientists as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Epidemiologist
Epidemiologist
**Epidemiologists** use data to understand the causes of disease. They work with data to identify trends and patterns that can help us prevent and treat diseases. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Epidemiologists as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Statistician
Statistician
**Statisticians** use data to understand the world around us. They work with data to identify trends and patterns that can help us make better decisions about everything from public policy to healthcare. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Statisticians as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Actuary
Actuary
**Actuaries** use data to assess risk. They work with data to identify trends and patterns that can help them develop insurance policies and other financial products that are more affordable and reliable. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Actuaries as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Machine Learning Engineer
Machine Learning Engineer
**Machine Learning Engineers** use data to develop and deploy machine learning models. They work with data to identify trends and patterns that can help them develop machine learning models that can make predictions and solve problems. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Machine Learning Engineers as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Computer Scientist
Computer Scientist
**Computer Scientists** use data to develop new computer algorithms and technologies. They work with data to identify trends and patterns that can help them develop new ways to solve problems and improve our lives. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Computer Scientists as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Data Engineer
Data Engineer
**Data Engineers** use data to build and maintain data pipelines. They work with data to identify trends and patterns that can help them develop more efficient and reliable ways to store and process data. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Data Engineers as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Auditor
Auditor
**Auditors** use data to ensure that businesses are following the law and regulations. They work with data to identify trends and patterns that can help them identify fraud and other financial irregularities. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Auditors as it provides a strong foundation in the skills and techniques needed to succeed in this role.
Software Engineer
Software Engineer
**Software Engineers** use data to develop new software applications. They work with data to identify trends and patterns that can help them develop software applications that are more efficient and user-friendly. This course in Data Manipulation and Business Analysis using Spreadsheets can be useful for aspiring Software Engineers as it provides a strong foundation in the skills and techniques needed to succeed in this role.
For more career information including salaries, visit:
OpenCourser.com/course/t05aus/data
Reading list
We've selected 14 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 Manipulation and Business Analysis using Spreadsheets.
Provides a practical guide to data analysis using spreadsheets. It covers a wide range of topics, from basic data entry and formatting to advanced techniques such as pivot tables and macros. It would be a valuable resource for anyone who wants to learn more about data analysis in spreadsheets.
Provides a practical guide to using Microsoft Excel for business analysis. It covers a wide range of topics, from basic spreadsheet operations to advanced techniques such as financial modeling and data visualization. It would be a valuable resource for anyone who wants to use Excel for data analysis and decision-making.
Provides a practical guide to data analysis techniques that can be performed using a variety of tools, including spreadsheets, programming languages, and statistical software. It covers a wide range of topics, from basic data cleaning and manipulation to advanced techniques such as regression analysis and machine learning. It would be a useful resource for anyone who wants to learn more about data analysis.
Save
Provides a handbook for data analysis using Microsoft Excel. It covers a wide range of topics, from basic data entry and formatting to advanced techniques such as pivot tables and data visualization. It would be a valuable resource for anyone who wants to learn more about data analysis in Excel.
This textbook is commonly used at academic institutions for data analysis courses. It contains valuable background information on excel functions as well as exercises and additional reading.
Provides a practical guide to using spreadsheets for business analysis. It covers a wide range of topics, from basic spreadsheet operations to advanced techniques such as financial modeling and forecasting. It would be a useful resource for anyone who wants to use spreadsheets for data analysis and decision-making.
Save
Good reference tool for those already familiar with Excel and its functions. It covers more topics than this course but can provide additional depth.
Save
Collection of recipes that teach tricks and techniques in Excel. While not necessarily required for this course, it could be a good supplement.
Save
Provides detailed guidance on how to use excel pivot tables and charts. Those taking this course who want to expand their knowledge on pivot tables could benefit from reading this book.
This textbook provides a practical introduction to data visualization. It covers different types of data visualizations and how to choose the right visualization for different types of data.
Save
Introduces how to use Power BI for data analysis. It covers how to connect to different data sources, create reports and dashboards, and use Power BI features for data analysis.
This guide introduces how to use Power BI, another popular data visualization software. Those taking the course that want to learn more about data visualization tools could benefit from reading this.
This textbook commonly used to introduce data science with Python. It covers Python basics and how to use Python for data cleaning and analysis.
Save
This textbook commonly used to introduce data science with R. It covers R basics and how to use R for data cleaning and analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/t05aus/data
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Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Omnya Khaled
Good to know
Builds a strong foundation for beginners and strengthens an existing foundation for intermediate learners in spreadsheets and business analysis
Covers important steps to becoming a data analyst for learners in business and data analysis
Explores data manipulation formula and functions for extracting words from text
Helps learners identify and manage string data
Teaches how to create pivot tables and lookup functions for summarizing and analyzing data sets
Requires foundational data analysis knowledge and familiarity with spreadsheets
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