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Dany Hoter and Jonathan Sanito

Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.

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Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.

Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. See how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and even consumed on mobile devices.

Do you feel that the contents of this course is a bit too advanced for you and you need to fill some gaps in your Excel knowledge? Do you need a better understanding of how pivot tables, pivot charts and slicers work together, and help in creating dashboards? If so, check out DAT205x: Introduction to Data Analysis using Excel.

edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

*Note: *This course will retire at the end of October. Please enroll only if you are able to finish your coursework in time.

What you'll learn

  • Gather and transform data from multiple sources
  • Discover and combine data in mashups
  • Learn about data model creation
  • Explore, analyze, and visualize data

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What's inside

Learning objectives

  • Gather and transform data from multiple sources
  • Discover and combine data in mashups
  • Learn about data model creation
  • Explore, analyze, and visualize data

Syllabus

Week 1
Setup the lab environment by installing Office applications. Learn how to perform data analysis in Excel using classic tools, such as pivot tables, pivot charts, and slicers, on data that is already in a worksheet / grid data. Explore an Excel data model, its content, and its structure, using the Power Pivot add-in. Create your first DAX expressions for calculated columns and measures.
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Week 2
Learn about queries (Power Query add-in in Excel 2013 and Excel 2010), and build an Excel data model from a single flat table. Learn how to import multiple tables from a SQL database, and create an Excel data model from the imported data. Create a mash-up between data from text-files and data from a SQL database.
Week 3
Get the details on how to create measures to calculate for each cell, filter context for calculation, and explore several advanced DAX functions. Find out how to use advanced text query to import data from a formatted Excel report. Perform queries beyond the standard user interface.
Week 4
Explore ways to create stunning visualizations in Excel. Use the cube functions to perform year-over-year comparisons. Create timelines, hierarchies, and slicers to enhance your visualizations. Learn how Excel can work together with Power BI. Upload an Excel workbook to the Power BI service. Explore the use of Excel on the mobile platform.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Deepens preexisting skills and knowledge in a targeted manner by offering advanced tools in data analysis
Taught by recognized industry experts for advanced data analysis, Dany Hoter and Jonathan Sanito of the Excel Product Team at Microsoft
Provides advanced tools, such as a query engine and DAX calculation engine, allowing you to explore data in greater depth
Suitable for individuals with existing knowledge of Excel and data analysis who seek to enhance their skills
Course completion deadline is October for those who require a definite timeline to complete their coursework
May require additional time investment beyond the course's duration, as it is designed for those with existing proficiency

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Reviews summary

Excel data analysis course

According to students, this course titled Analyzing and Visualizing Data with Excel is a largely positive learning experience for beginners who want to learn about data analysis and visualization. Power Query, Data Models, and DAX are highlighted as key components, and students are encouraged to have some prior experience with Excel before taking this course.
Some prior Excel usage recommended.
"The course is not extremely difficult to take, but some prior Excel usage would be recommended."
Effective for job advancement.
"Very effective for Job purpose."
Assignments are repetitive but effective.
"You spend more time on updating and installing things than on completing tasks (which are basically the repetition of lectures)"

Activities

Coming soon We're preparing activities for Analyzing and Visualizing Data with Excel. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Analyzing and Visualizing Data with Excel will develop knowledge and skills that may be useful to these careers:
Data Analyst
As a Data Analyst, your main responsibility is to gather data from various sources, interpret it, and present the information in a way that is easy for others to understand. As such, you need a strong understanding of statistical methods and data analysis tools. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are in high demand in today's data-driven job market.
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of business intelligence.
Data Scientist
A Data Scientist is responsible for developing and implementing data-driven solutions to business problems. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of data science.
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making recommendations to businesses and investors. This course will teach you how to use Excel to gather and analyze financial data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of finance.
Market Researcher
A Market Researcher is responsible for collecting and analyzing data about consumer behavior. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of market research.
Consultant
A Consultant is responsible for providing expert advice to businesses on a wide range of topics. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of consulting.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course will teach you how to use Excel to create project plans, track project progress, and manage project resources. These skills are essential for anyone who wants to succeed in the field of project management.
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data systems. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of data engineering.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of business analysis.
Software Engineer
A Software Engineer is responsible for designing, developing, and testing software applications. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of software engineering.
Marketing Manager
A Marketing Manager is responsible for planning and executing marketing campaigns. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of marketing.
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of sales.
Operations Manager
An Operations Manager is responsible for planning and executing the day-to-day operations of a business. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of operations management.
Human Resources Manager
A Human Resources Manager is responsible for managing the human resources function of a business. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of human resources management.
Customer Service Manager
A Customer Service Manager is responsible for managing the customer service function of a business. This course will teach you how to use Excel to gather and analyze data, create data visualizations, and share your findings with others. These skills are essential for anyone who wants to succeed in the field of customer service management.

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