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Microsoft
This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI.
Read more
This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI.
Read more
This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI.
No prior skills are needed to be successful in this course.
In this course, you’ll learn how to make use of Excel in business scenarios for data analysis. You’ll also learn how to utilize formulas and functions for data analysis.
Specifically, this course will help you gain knowledge and skills for preparing data for analysis using Microsoft Excel and take you one step closer to becoming a Microsoft Power BI Analyst.
After completing this course, you’ll be able to:
• Create data in Microsoft Excel and prepare it for data analysis.
• Make use of common formulas and functions in a worksheet.
• Prepare Excel data for analysis in Power BI using functions.
Register for this course and see more details by visiting:
OpenCourser.com/course/t6ayw1/preparing
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What's inside
Syllabus
Excel fundamentals
This module introduces essential Excel elements and techniques begininning with the creation and formatting of worksheets. It explores the Excel features that are useful when viewing large data blocks and explains how to create accurate calculations.
Read more
Syllabus
Excel fundamentals
This module introduces essential Excel elements and techniques begininning with the creation and formatting of worksheets. It explores the Excel features that are useful when viewing large data blocks and explains how to create accurate calculations.
Read more
Formulas and functions
This module introduces formulas and functions in Excel. It explores how these are important to data analysis and how these are used in business scenarios.
Preparing data for analysis using functions
The module introduces common functions that help prepare Excel data for analysis in tools such as Power BI.
Final project and assessment: Preparing data for analysis with Microsoft Excel
In this module, you will be assessed on the key skills covered in the Course.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps prepare learners for a career in data analysis using Microsoft Power BI
Requires no prior skills or knowledge for learners to be successful
Provides a strong foundation for intermediate learners
Suitable for beginners and those looking to strengthen their foundation
Covers Excel fundamentals and common formulas and functions
Taught by Microsoft, a recognized leader in the tech industry
Save this course
Save Preparing Data for Analysis with 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 Preparing Data for Analysis with Microsoft Excel with these
activities:
Read 'Data Analysis Using Excel and Power BI' by Brian Jones
Show steps
Gain a deeper understanding of data analysis techniques by reviewing a book that covers both Excel and Power BI, consolidating your knowledge in using both tools.
View
Microsoft Big Data Solutions
on Amazon
Show steps
-
Acquire a copy of the book.
-
Read each chapter thoroughly.
-
Take notes and highlight key concepts.
-
Complete the exercises provided in the book.
-
Discuss the book with classmates or colleagues to reinforce learning.
Revisit Microsoft Excel Basics
Show steps
Reinforce your foundational knowledge of Microsoft Excel before starting the course to enhance your understanding of its essential elements and techniques.
Browse courses on
Excel Basics
Show steps
-
Review the basic interface and navigation of Microsoft Excel.
-
Practice creating and formatting worksheets.
-
Explore different data types and their significance.
Collaborate with Peers on Data Analysis Challenges
Show steps
Enhance your learning by collaborating with peers on data analysis challenges. Share your insights, learn from others' perspectives, and collectively improve your problem-solving skills.
Show steps
-
Join or form a peer study group.
-
Identify a data analysis problem to work on together.
-
Share your ideas and approaches with the group.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Explore Advanced Excel Functions and Formulas
Show steps
Deepen your understanding of Excel's advanced functions and formulas by following guided tutorials. This will enhance your ability to perform complex data analysis and calculations.
Browse courses on
Advanced Excel Functions
Show steps
-
Identify and understand the purpose of different advanced functions.
-
Practice applying these functions in practical scenarios.
-
Explore the logical, statistical, and text functions available in Excel.
Build a Resource Library for Data Analysis
Show steps
Compile a collection of helpful resources, such as articles, tutorials, and tools, to support and enhance your data analysis journey.
Browse courses on
Microsoft Power BI
Show steps
-
Identify and gather relevant resources from various sources.
-
Categorize and organize resources for easy access.
-
Share the resource library with peers and colleagues.
Sharpen Your Data Analysis Skills with Practice Exercises
Show steps
Solidify your data analysis skills by engaging in regular practice exercises. This will enhance your proficiency in using Microsoft Excel for data preparation and analysis.
Show steps
-
Solve problems involving data cleaning and transformation.
-
Analyze data using various techniques, such as pivot tables and charts.
-
Interpret the results of your analysis and draw meaningful conclusions.
Create a Data Analysis Portfolio
Show steps
Build a portfolio of data analysis projects to showcase skills acquired in this course, increasing your appeal to potential employers.
Browse courses on
Data Analysis
Show steps
-
Identify relevant data sources and gather data.
-
Clean and prepare data for analysis.
-
Perform Exploratory Data Analysis (EDA) to explore data and uncover insights.
-
Visualize data effectively using charts, graphs, and dashboards.
-
Write a report summarizing your findings and insights.
Explore Advanced Features of Microsoft Power BI
Show steps
Enhance your understanding of Microsoft Power BI by learning advanced features such as DAX functions, calculated columns, and Power Query.
Browse courses on
Microsoft Power BI
Show steps
-
Identify specific advanced features you want to explore.
-
Locate tutorials and resources on these features.
-
Follow the tutorials and experiment with the advanced features.
-
Apply what you learn to your own data analysis projects.
Develop a Data Analysis Dashboard
Show steps
Create an interactive dashboard to present data analysis results, enabling stakeholders to explore and understand data more easily.
Browse courses on
Data Visualization
Show steps
-
Identify key metrics and data to be included in the dashboard.
-
Design and create visualizations such as charts, gauges, and maps.
-
Configure dashboard layout and navigation for ease of use.
-
Publish the dashboard and share it with stakeholders.
Contribute to Open-Source Data Analysis Projects
Show steps
Contribute to open-source projects related to data analysis, gaining practical experience and collaborating with professionals in the field.
Browse courses on
Data Analysis
Show steps
-
Identify and select suitable open-source projects.
-
Review project documentation and codebase.
-
Contribute code, documentation, or other resources to the project.
-
Collaborate with project maintainers.
Read 'Data Analysis Using Excel and Power BI' by Brian Jones
Show steps
Gain a deeper understanding of data analysis techniques by reviewing a book that covers both Excel and Power BI, consolidating your knowledge in using both tools.
View
Microsoft Big Data Solutions
on Amazon
Show steps
Show steps
Show steps
- Acquire a copy of the book.
- Read each chapter thoroughly.
- Take notes and highlight key concepts.
- Complete the exercises provided in the book.
- Discuss the book with classmates or colleagues to reinforce learning.
Revisit Microsoft Excel Basics
Show steps
Reinforce your foundational knowledge of Microsoft Excel before starting the course to enhance your understanding of its essential elements and techniques.
Browse courses on
Excel Basics
Show steps
Show steps
Show steps
- Review the basic interface and navigation of Microsoft Excel.
- Practice creating and formatting worksheets.
- Explore different data types and their significance.
Collaborate with Peers on Data Analysis Challenges
Show steps
Enhance your learning by collaborating with peers on data analysis challenges. Share your insights, learn from others' perspectives, and collectively improve your problem-solving skills.
Show steps
Show steps
Show steps
- Join or form a peer study group.
- Identify a data analysis problem to work on together.
- Share your ideas and approaches with the group.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Explore Advanced Excel Functions and Formulas
Show steps
Deepen your understanding of Excel's advanced functions and formulas by following guided tutorials. This will enhance your ability to perform complex data analysis and calculations.
Browse courses on
Advanced Excel Functions
Show steps
Show steps
Show steps
- Identify and understand the purpose of different advanced functions.
- Practice applying these functions in practical scenarios.
- Explore the logical, statistical, and text functions available in Excel.
Build a Resource Library for Data Analysis
Show steps
Compile a collection of helpful resources, such as articles, tutorials, and tools, to support and enhance your data analysis journey.
Browse courses on
Microsoft Power BI
Show steps
Show steps
Show steps
- Identify and gather relevant resources from various sources.
- Categorize and organize resources for easy access.
- Share the resource library with peers and colleagues.
Sharpen Your Data Analysis Skills with Practice Exercises
Show steps
Solidify your data analysis skills by engaging in regular practice exercises. This will enhance your proficiency in using Microsoft Excel for data preparation and analysis.
Show steps
Show steps
Show steps
- Solve problems involving data cleaning and transformation.
- Analyze data using various techniques, such as pivot tables and charts.
- Interpret the results of your analysis and draw meaningful conclusions.
Create a Data Analysis Portfolio
Show steps
Build a portfolio of data analysis projects to showcase skills acquired in this course, increasing your appeal to potential employers.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify relevant data sources and gather data.
- Clean and prepare data for analysis.
- Perform Exploratory Data Analysis (EDA) to explore data and uncover insights.
- Visualize data effectively using charts, graphs, and dashboards.
- Write a report summarizing your findings and insights.
Explore Advanced Features of Microsoft Power BI
Show steps
Enhance your understanding of Microsoft Power BI by learning advanced features such as DAX functions, calculated columns, and Power Query.
Browse courses on
Microsoft Power BI
Show steps
Show steps
Show steps
- Identify specific advanced features you want to explore.
- Locate tutorials and resources on these features.
- Follow the tutorials and experiment with the advanced features.
- Apply what you learn to your own data analysis projects.
Develop a Data Analysis Dashboard
Show steps
Create an interactive dashboard to present data analysis results, enabling stakeholders to explore and understand data more easily.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify key metrics and data to be included in the dashboard.
- Design and create visualizations such as charts, gauges, and maps.
- Configure dashboard layout and navigation for ease of use.
- Publish the dashboard and share it with stakeholders.
Contribute to Open-Source Data Analysis Projects
Show steps
Contribute to open-source projects related to data analysis, gaining practical experience and collaborating with professionals in the field.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify and select suitable open-source projects.
- Review project documentation and codebase.
- Contribute code, documentation, or other resources to the project.
- Collaborate with project maintainers.
Career center
Learners who complete Preparing Data for Analysis with Microsoft Excel will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst plays a crucial role in transforming raw data into actionable insights for businesses. This course, Preparing Data for Analysis with Microsoft Excel, aligns perfectly with the core responsibilities of a Data Analyst, providing a solid foundation in data preparation and analysis techniques using Excel. By mastering the skills taught in this course, you'll be well-equipped to handle data cleaning, transformation, and analysis tasks, which are essential for uncovering valuable insights and driving informed decision-making.
Business Analyst
Business Analyst
As a Business Analyst, you'll be responsible for analyzing business processes and identifying areas for improvement. This course, Preparing Data for Analysis with Microsoft Excel, provides a strong foundation in data analysis and visualization techniques that are essential for success in this role. By gaining proficiency in Excel, you'll be able to effectively analyze data, develop insights, and communicate your findings to stakeholders, enabling organizations to make informed decisions.
Financial Analyst
Financial Analyst
Financial Analysts play a vital role in evaluating and interpreting financial data to make informed investment decisions. This course, Preparing Data for Analysis with Microsoft Excel, provides a strong foundation in data analysis and modeling techniques that are crucial for success in this field. By mastering Excel skills, you'll be well-equipped to analyze financial statements, perform financial modeling, and make sound investment recommendations.
Market Researcher
Market Researcher
Market Researchers are responsible for gathering and analyzing data to understand market trends and consumer behavior. This course, Preparing Data for Analysis with Microsoft Excel, provides essential skills in data preparation and analysis that are highly sought after in this field. By becoming proficient in Excel, you'll be able to effectively collect, clean, and analyze data, enabling you to develop valuable insights and inform marketing strategies.
Data Scientist
Data Scientist
Data Scientists play a critical role in extracting insights from vast amounts of data. This course, Preparing Data for Analysis with Microsoft Excel, provides a solid foundation in data preparation and analysis techniques that are essential for aspiring Data Scientists. By gaining proficiency in Excel, you'll be well-prepared to handle data cleaning, feature engineering, and model development tasks, which are crucial for building robust predictive models.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data analysis to identify and solve complex business problems. This course, Preparing Data for Analysis with Microsoft Excel, provides a strong foundation in data analysis and optimization techniques that are valuable in this field. By mastering Excel skills, you'll be able to effectively analyze data, develop models, and identify optimal solutions for improving business operations.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts utilize data analysis and modeling techniques to make investment decisions. This course, Preparing Data for Analysis with Microsoft Excel, provides essential skills in data preparation and analysis that are highly sought after in this field. By becoming proficient in Excel, you'll be well-equipped to analyze financial data, develop trading strategies, and make informed investment decisions.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. This course, Preparing Data for Analysis with Microsoft Excel, provides a foundation in data analysis and modeling that is beneficial for aspiring Actuaries. By gaining proficiency in Excel, you'll be better prepared to handle data analysis, risk assessment, and financial modeling tasks, which are essential for making informed decisions in the insurance and finance industries.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to uncover patterns and trends. This course, Preparing Data for Analysis with Microsoft Excel, provides a solid foundation in data analysis and visualization techniques that are essential for success in this field. By mastering Excel skills, you'll be well-equipped to handle data cleaning, statistical modeling, and data visualization tasks, enabling you to derive meaningful insights from data.
Data Engineer
Data Engineer
Data Engineers design and build data pipelines to ensure the availability and quality of data for analysis. This course, Preparing Data for Analysis with Microsoft Excel, while not directly focused on data engineering, provides a good foundation in data preparation and analysis techniques that are often used in data engineering processes. By gaining proficiency in Excel, you'll be better equipped to understand the data landscape and collaborate effectively with data engineers.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining database systems. This course, Preparing Data for Analysis with Microsoft Excel, while not specifically focused on database administration, provides a good foundation in data management and analysis techniques that are often used in this field. By gaining proficiency in Excel, you'll be better equipped to understand data structures and work effectively with database administrators.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course, Preparing Data for Analysis with Microsoft Excel, while not directly focused on software engineering, provides a good foundation in data structures and analysis techniques that are often used in software development. By gaining proficiency in Excel, you'll be better equipped to understand data models and work effectively with software engineers.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts specialize in creating visual representations of data to communicate insights and trends. This course, Preparing Data for Analysis with Microsoft Excel, provides a solid foundation in data analysis and visualization techniques that are essential for success in this field. By mastering Excel skills, you'll be well-equipped to create compelling data visualizations that effectively convey insights and support decision-making.
Project Manager
Project Manager
Project Managers plan, execute, and monitor projects to ensure their successful completion. This course, Preparing Data for Analysis with Microsoft Excel, while not directly focused on project management, provides a good foundation in data analysis and reporting techniques that are often used in project management. By gaining proficiency in Excel, you'll be better equipped to track project progress, analyze data, and communicate project status effectively.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data analysis and visualization techniques to identify business opportunities and improve decision-making. This course, Preparing Data for Analysis with Microsoft Excel, provides a solid foundation in data analysis and visualization techniques that are essential for success in this field. By mastering Excel skills, you'll be well-equipped to analyze data, develop insights, and present findings to stakeholders, enabling organizations to make informed decisions.
For more career information including salaries, visit:
OpenCourser.com/course/t6ayw1/preparing
Reading list
We've selected nine 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
Preparing Data for Analysis with Microsoft Excel.
Comprehensive guide to using Excel for data analysis, covering everything from basic to advanced techniques. You will find this book especially helpful if you are new to Excel or to data analysis.
This comprehensive guide to Power BI can provide more in-depth knowledge, especially for those who plan to use Power BI extensively.
Discusses both SQL and Excel for data analysis, providing a more well-rounded perspective.
Provides helpful information about statistical analysis using Excel.
Save
Teaches the basics of statistical analysis and visualization using R, which can be helpful for those who want to learn another data analysis tool.
While this book is not focused on Excel, it could be useful if you are interested in learning more about Power BI, especially if you are a beginner.
Save
Focuses on creating dashboards and reports in Excel, which can be useful for communicating data analysis results.
This quick start guide to Power BI could be useful for those who are new to this tool.
For those who are using Excel to analyze data for scientific purposes, this book could be useful.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/t6ayw1/preparing
Share
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Effort
4 weeks of study, 3-5 hours/week.
Level
Introductory
Via
Coursera
Institution
Microsoft
Instructor
Microsoft
Language
English
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آذربایجان دیلی
This course belongs to a
collection
called
Microsoft Power BI Data Analyst. It's comprised of eight courses:
- Data Modeling in Power BI
- Microsoft PL-300 Exam Preparation and Practice
- Preparing Data for Analysis with Microsoft Excel (viewing)
- Data Analysis and Visualization with Power BI
- Extract, Transform and Load Data in Power BI
- Deploy and Maintain Power BI Assets and Capstone project
- Harnessing the Power of Data with Power BI
- Creative Designing in Power BI
Good to know
Helps prepare learners for a career in data analysis using Microsoft Power BI
Requires no prior skills or knowledge for learners to be successful
Provides a strong foundation for intermediate learners
Suitable for beginners and those looking to strengthen their foundation
Covers Excel fundamentals and common formulas and functions
Taught by Microsoft, a recognized leader in the tech industry
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