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This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives you the practice and confidence necessary to connect, explore, and analyze data sources into the future.This course is also part of a certificate:
Read more
This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives you the practice and confidence necessary to connect, explore, and analyze data sources into the future.This course is also part of a certificate:
Read more
This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives you the practice and confidence necessary to connect, explore, and analyze data sources into the future.This course is also part of a certificate:
Data Analytics and Visualization Certificate
Register for this course and see more details by visiting:
OpenCourser.com/course/94owm5/business
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What's inside
Learning objective
In this course, you will learn the basics of business analytics using excel. you'll start by learning all about business analytics, including the importance of the role of obtaining crucial information for the organization. then, you will begin working on a dataset in excel, and learn essential tasks such as sorting and filtering the data to learn more about the business. finally, learn how to analyze both categorical and numeric data: for categorical data, learn how to aggregate data using excel's pivot table feature; for numeric data, learn the basics of analyzing distributions using statistics and common visualizations such as histograms and boxplots. by the end of the course, you will have hands-on practice in preparing data for analysis and thoroughly analyzing a dataset using descriptive analytic techniques.
In this course, you will learn the basics of business analytics using excel. you'll start by learning all about business analytics, including the importance of the role of obtaining crucial information for the organization. then, you will begin working on a dataset in excel, and learn essential tasks such as sorting and filtering the data to learn more about the business. finally, learn how to analyze both categorical and numeric data: for categorical data, learn how to aggregate data using excel's pivot table feature; for numeric data, learn the basics of analyzing distributions using statistics and common visualizations such as histograms and boxplots. by the end of the course, you will have hands-on practice in preparing data for analysis and thoroughly analyzing a dataset using descriptive analytic techniques.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners who are new to business analytics in Excel
Develops skills in preparing and thoroughly analyzing data using descriptive analytic techniques
Applies the concepts taught using a separate data source, giving learners hands-on practice
Provides interactive videos to help learners understand analytical concepts and software
Save this course
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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 Business Intelligence and Data Analytics with these
activities:
Read Python Data Science Handbook
Show steps
Get a comprehensive understanding of data science fundamentals and how to apply Python for data analysis.
View
Python Data Science Handbook: Essential Tools...
on Amazon
Show steps
-
Review chapter summaries and key concepts.
-
Work through coding exercises to practice Python implementation.
Review Basic Data Analysis Concepts
Show steps
Refresh your understanding of foundational data analysis concepts prior to starting the course.
Browse courses on
Descriptive Statistics
Show steps
-
Review key concepts from previous statistics or data analysis courses.
-
Take online quizzes or practice problems related to basic data analysis.
-
Consult textbooks or online resources for additional clarity.
Excel Data Analysis Exercises
Show steps
Reinforce data analysis concepts and improve proficiency in using Excel for data manipulation and analysis.
Browse courses on
Data Analysis
Show steps
-
Solve practice problems involving data sorting and filtering.
-
Analyze data using PivotTables and charts.
-
Perform statistical calculations and create visualizations.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Data Analysis Study Group
Show steps
Collaborate with peers to discuss data analysis concepts, share insights, and work through problems together.
Browse courses on
Data Analysis
Show steps
-
Join or create a study group with fellow students.
-
Meet regularly to discuss course material and assignments.
-
Help each other understand concepts and solve problems.
Explore Advanced Functions in Excel
Show steps
Supplement learning about Excel Functions by watching tutorials on using specific functions to execute more complex tasks.
Browse courses on
Advanced Excel Functions
Show steps
-
Search for tutorials on advanced Excel functions.
-
Choose a tutorial that aligns with your interests or needs.
-
Follow the tutorial and explore additional resources on the topic.
-
Apply the functions you learned in your own projects or assignments.
Solve Business Analytics Practice Problems
Show steps
Reinforce your understanding of Business Analytics concepts by engaging in practice problems.
Show steps
-
Find practice problems online or in textbooks.
-
Solve the problems using the techniques learned in the course.
-
Review your answers and identify areas for improvement.
-
Seek help from classmates or the instructor if needed.
SQL for Data Analysis Tutorial
Show steps
Gain practical experience in using SQL for data querying, manipulation, and analysis.
Browse courses on
Data Analysis
Show steps
-
Follow online tutorials on SQL syntax and commands.
-
Practice writing SQL queries on sample datasets.
-
Complete hands-on exercises to apply SQL concepts.
Excel Problem-Solving Study Group
Show steps
Enhance your learning through collaborative problem-solving and peer support.
Show steps
-
Join or create a study group with classmates.
-
Meet regularly to work on problems and share knowledge.
-
Take turns leading discussions and presenting solutions.
-
Provide constructive feedback to your peers.
Data Analytics Workshop
Show steps
Attend a workshop to gain exposure to advanced data analytics techniques and industry best practices.
Browse courses on
Data Analytics
Show steps
-
Research and identify relevant workshops.
-
Register and attend the workshop.
-
Actively participate in discussions and hands-on exercises.
Data Visualization Project
Show steps
Apply data analysis techniques to create meaningful and impactful visualizations that effectively communicate insights.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset and define the project goals.
-
Explore and clean the data.
-
Select appropriate visualization techniques.
-
Design and create the visualizations.
-
Present the project and findings.
Develop a Data Visualization Dashboard
Show steps
Demonstrate your ability to analyze and present data effectively by creating a comprehensive dashboard.
Browse courses on
Data Visualization
Show steps
-
Gather and prepare the data you want to visualize.
-
Choose an appropriate visualization tool (e.g., Tableau, Power BI).
-
Design and develop the dashboard, ensuring clarity and usability.
-
Present your dashboard to classmates or the instructor for feedback.
Excel Function Reference Guide
Show steps
Organize and reinforce your knowledge by creating a comprehensive reference guide for Excel functions.
Browse courses on
Advanced Excel Functions
Show steps
-
Gather information on a variety of Excel functions, including their syntax, arguments, and examples.
-
Organize the functions into a logical structure, such as by category or type.
-
Include clear and concise descriptions for each function.
-
Provide examples and scenarios to illustrate the practical applications of each function.
-
Share your reference guide with classmates or the instructor for feedback and improvement.
Data Analysis Blog Post
Show steps
Demonstrate understanding of data analysis concepts and share insights gained from analyzing real-world data.
Browse courses on
Data Analysis
Show steps
-
Choose a data analysis topic and gather relevant data.
-
Perform data analysis and draw conclusions.
-
Write a blog post outlining the analysis process and findings.
Contribute to Open-Source Excel Add-Ins
Show steps
Deepen your understanding of Excel's functionality and collaborate with others to enhance the Excel ecosystem.
Browse courses on
VBA
Show steps
-
Identify an existing open-source Excel add-in that interests you.
-
Review the add-in's codebase and identify areas where you can contribute.
-
Develop and test your contributions, following the add-in's development guidelines.
-
Submit your contributions to the add-in's repository and engage in code reviews.
Data Analytics Volunteer Project
Show steps
Apply data analysis skills to make a meaningful contribution to a non-profit organization or social cause.
Browse courses on
Data Analytics
Show steps
-
Research and identify volunteer opportunities that align with interests.
-
Apply for and secure a volunteer position.
-
Use data analysis techniques to assist with projects and initiatives.
Read Python Data Science Handbook
Show steps
Get a comprehensive understanding of data science fundamentals and how to apply Python for data analysis.
View
Python Data Science Handbook: Essential Tools...
on Amazon
Show steps
Show steps
Show steps
- Review chapter summaries and key concepts.
- Work through coding exercises to practice Python implementation.
Review Basic Data Analysis Concepts
Show steps
Refresh your understanding of foundational data analysis concepts prior to starting the course.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Review key concepts from previous statistics or data analysis courses.
- Take online quizzes or practice problems related to basic data analysis.
- Consult textbooks or online resources for additional clarity.
Excel Data Analysis Exercises
Show steps
Reinforce data analysis concepts and improve proficiency in using Excel for data manipulation and analysis.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Solve practice problems involving data sorting and filtering.
- Analyze data using PivotTables and charts.
- Perform statistical calculations and create visualizations.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Data Analysis Study Group
Show steps
Collaborate with peers to discuss data analysis concepts, share insights, and work through problems together.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Join or create a study group with fellow students.
- Meet regularly to discuss course material and assignments.
- Help each other understand concepts and solve problems.
Explore Advanced Functions in Excel
Show steps
Supplement learning about Excel Functions by watching tutorials on using specific functions to execute more complex tasks.
Browse courses on
Advanced Excel Functions
Show steps
Show steps
Show steps
- Search for tutorials on advanced Excel functions.
- Choose a tutorial that aligns with your interests or needs.
- Follow the tutorial and explore additional resources on the topic.
- Apply the functions you learned in your own projects or assignments.
Solve Business Analytics Practice Problems
Show steps
Reinforce your understanding of Business Analytics concepts by engaging in practice problems.
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Solve the problems using the techniques learned in the course.
- Review your answers and identify areas for improvement.
- Seek help from classmates or the instructor if needed.
SQL for Data Analysis Tutorial
Show steps
Gain practical experience in using SQL for data querying, manipulation, and analysis.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Follow online tutorials on SQL syntax and commands.
- Practice writing SQL queries on sample datasets.
- Complete hands-on exercises to apply SQL concepts.
Excel Problem-Solving Study Group
Show steps
Enhance your learning through collaborative problem-solving and peer support.
Show steps
Show steps
Show steps
- Join or create a study group with classmates.
- Meet regularly to work on problems and share knowledge.
- Take turns leading discussions and presenting solutions.
- Provide constructive feedback to your peers.
Data Analytics Workshop
Show steps
Attend a workshop to gain exposure to advanced data analytics techniques and industry best practices.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Research and identify relevant workshops.
- Register and attend the workshop.
- Actively participate in discussions and hands-on exercises.
Data Visualization Project
Show steps
Apply data analysis techniques to create meaningful and impactful visualizations that effectively communicate insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset and define the project goals.
- Explore and clean the data.
- Select appropriate visualization techniques.
- Design and create the visualizations.
- Present the project and findings.
Develop a Data Visualization Dashboard
Show steps
Demonstrate your ability to analyze and present data effectively by creating a comprehensive dashboard.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather and prepare the data you want to visualize.
- Choose an appropriate visualization tool (e.g., Tableau, Power BI).
- Design and develop the dashboard, ensuring clarity and usability.
- Present your dashboard to classmates or the instructor for feedback.
Excel Function Reference Guide
Show steps
Organize and reinforce your knowledge by creating a comprehensive reference guide for Excel functions.
Browse courses on
Advanced Excel Functions
Show steps
Show steps
Show steps
- Gather information on a variety of Excel functions, including their syntax, arguments, and examples.
- Organize the functions into a logical structure, such as by category or type.
- Include clear and concise descriptions for each function.
- Provide examples and scenarios to illustrate the practical applications of each function.
- Share your reference guide with classmates or the instructor for feedback and improvement.
Data Analysis Blog Post
Show steps
Demonstrate understanding of data analysis concepts and share insights gained from analyzing real-world data.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Choose a data analysis topic and gather relevant data.
- Perform data analysis and draw conclusions.
- Write a blog post outlining the analysis process and findings.
Contribute to Open-Source Excel Add-Ins
Show steps
Deepen your understanding of Excel's functionality and collaborate with others to enhance the Excel ecosystem.
Browse courses on
VBA
Show steps
Show steps
Show steps
- Identify an existing open-source Excel add-in that interests you.
- Review the add-in's codebase and identify areas where you can contribute.
- Develop and test your contributions, following the add-in's development guidelines.
- Submit your contributions to the add-in's repository and engage in code reviews.
Data Analytics Volunteer Project
Show steps
Apply data analysis skills to make a meaningful contribution to a non-profit organization or social cause.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Research and identify volunteer opportunities that align with interests.
- Apply for and secure a volunteer position.
- Use data analysis techniques to assist with projects and initiatives.
Career center
Learners who complete Business Intelligence and Data Analytics will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their knowledge of data and analytical tools to examine data and extract meaningful insights. This course provides a strong foundation for a career as a Data Analyst by teaching the basics of business analytics using Excel, including how to prepare data for analysis, analyze both categorical and numeric data, and use Excel's Pivot Table feature to aggregate data.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve problems within an organization. This course can help you become a Business Analyst by providing you with the skills you need to analyze data, identify trends, and make recommendations to improve business processes.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior and trends. This course can provide you with the skills you need to become a Market Researcher by teaching you how to collect, analyze, and interpret data to identify opportunities and make recommendations for marketing campaigns.
Financial Analyst
Financial Analyst
Financial Analysts use data to analyze financial performance and make investment recommendations. This course can help you become a Financial Analyst by providing you with the skills you need to analyze financial data, identify trends, and make recommendations for investment decisions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of operations within an organization. This course can help you become an Operations Research Analyst by providing you with the skills you need to analyze data, identify bottlenecks, and make recommendations for process improvements.
Statistician
Statistician
Statisticians use data to analyze and interpret data. This course may be useful for aspiring Statisticians by providing them with a foundation in data analysis and visualization.
Data Scientist
Data Scientist
Data Scientists use data to build models and predict future outcomes. This course may be useful for aspiring Data Scientists by providing them with a foundation in data analysis and visualization.
Risk Analyst
Risk Analyst
Risk Analysts use data to assess risk and make financial decisions. This course may be useful for aspiring Risk Analysts by providing them with a foundation in data analysis and visualization.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists use data to create visual representations of data. This course may be useful for aspiring Data Visualization Specialists by providing them with a foundation in data analysis and visualization.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to make investment decisions. This course may be useful for aspiring Quantitative Analysts by providing them with a foundation in data analysis and visualization.
Actuary
Actuary
Actuaries use data to assess risk and make financial decisions. This course may be useful for aspiring Actuaries by providing them with a foundation in data analysis and visualization.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify and solve problems within an organization. This course may be useful for aspiring Business Intelligence Analysts by providing them with a foundation in data analysis and visualization.
Data Architect
Data Architect
Data Architects use data to design and implement data management systems. This course may be useful for aspiring Data Architects by providing them with a foundation in data analysis and visualization.
Software Engineer
Software Engineer
Software Engineers use data to design and develop software applications. This course may be useful for aspiring Software Engineers by providing them with a foundation in data analysis and visualization.
Computer Scientist
Computer Scientist
Computer Scientists use data to design and develop computer systems. This course may be useful for aspiring Computer Scientists by providing them with a foundation in data analysis and visualization.
For more career information including salaries, visit:
OpenCourser.com/course/94owm5/business
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
Business Intelligence and Data Analytics.
Provides a practical introduction to data analytics, covering topics such as data cleaning, data analysis, and data visualization. It valuable resource for students and professionals who want to learn more about the field of data analytics.
Save
Provides a practical introduction to data visualization. It valuable resource for students and professionals who want to learn more about how to create effective data visualizations.
Provides a practical guide to big data analytics. It valuable resource for students and professionals who want to learn more about how to use these tools for big data analysis.
Provides a practical introduction to machine learning. It valuable resource for students and professionals who want to learn more about how to use these tools for machine learning.
Save
Provides a comprehensive overview of deep learning. It valuable resource for students and professionals who want to learn more about the field of deep learning.
Provides a comprehensive guide to Hadoop. It valuable resource for students and professionals who want to learn more about the field of Hadoop.
Provides a comprehensive guide to Spark. It valuable resource for students and professionals who want to learn more about the field of Spark.
Provides a practical guide to TensorFlow. It valuable resource for students and professionals who want to learn more about the field of TensorFlow.
Provides a practical guide to natural language processing with Python. It valuable resource for students and professionals who want to learn more about the field of natural language processing.
Provides a practical guide to machine learning for beginners. It valuable resource for students and professionals who want to learn more about the field of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/94owm5/business
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Effort
1 to 12 hours per week for 5 weeks
Level
Introductory
Via
edX
Institution
Arizona State University
Session
February 12, 2024
- December 12, 2024
Language
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Transcript
English
Good to know
Builds a strong foundation for beginners who are new to business analytics in Excel
Develops skills in preparing and thoroughly analyzing data using descriptive analytic techniques
Applies the concepts taught using a separate data source, giving learners hands-on practice
Provides interactive videos to help learners understand analytical concepts and software
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