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Amruta Mahajan

This course equips data analysts and Excel power users with the Business Intelligence knowledge and best practices required to import data into Excel from different data sources, clean the data, and transform this data into any desired format.

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This course equips data analysts and Excel power users with the Business Intelligence knowledge and best practices required to import data into Excel from different data sources, clean the data, and transform this data into any desired format.

Data transformation from different sources is key when working in Excel. In this course,

, you will be equipped with Business Intelligence knowledge, tools, and best practices required to import data into Excel from different data sources, clean the data, and transform this data into any desired format.

, you will see how Power Query is an easy-to-use, yet powerful tool to import data from different sources.

, you will learn how Power Query can cleanse and transform data without having to write any code.

, you will also study What-if analysis which allows users to use several data sets in one or more formulas to explore various results.

, you will study Cube functions which help to pull data from Analysis Services into Excel.

When you are finished with this course, you will have an understanding of the insertion and transformation process data goes through when imported into Excel.

This course equips data analysts and Excel power users with Business Intelligence knowledge and best practices.

Learn how Power Query is an easy-to-use, yet powerful tool to import data into Excel, and cleanse and transform data without having to write any code. Then study Cube functions which help to pull data from Analysis Services into Excel.

You likely already know your way around Excel but if you have only ever imported data into Excel by copy and pasting data from different sources, prepare to be blown away by this advanced-level course.

If you're using Excel 2010 or 2013, then you can download Power Query as a separate free add-on. If you're using Excel 2016 or later, then don't worry - you already have Power Query.

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What's inside

Syllabus

Course Overview
Importing Data from Different Data Sources
Queries in Power Query
Transform and Consolidate Data
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What-if Analysis
Cube Functions

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Amruta Mahajan, who are recognized for their work in data transformation
Teaches what-if analysis, which helps users extend their foundational studies of Excel
Develops skills in data import, transformation, and cleansing
Teaches advanced-level data analysis for experienced Excel users
Explores Power Query, which is highly relevant to modern Excel data analysis

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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 Workflow with Excel 2019 with these activities:
Read 'Data Analysis with Excel' by Greg Harvey
This book is designed to assist in preparing for this course by providing a foundation in data analysis using Excel.
Show steps
  • Read the book
  • Complete the exercises in the book
Review relational database theory
Refresh your understanding of the concepts of relational databases to lay a foundation for learning about business intelligence and data transformation in Excel.
Browse courses on Relational Data Model
Show steps
  • Review a textbook or online course on relational database theory.
  • Complete practice exercises on data modeling and normalization.
Review fundamental Excel skills
Reviewing fundamental Excel skills will set you up for success in this course by ensuring you are comfortable with basic functions and operations.
Browse courses on Excel Basics
Show steps
  • Create and format a new spreadsheet
  • Enter and manipulate data
  • Use basic formulas and functions
  • Create simple charts and graphs
Five other activities
Expand to see all activities and additional details
Show all eight activities
Review the Syllabus
Familiarize yourself with key concepts by reviewing the course syllabus and identify areas in which you might need more preparation.
Show steps
  • Read the course syllabus thoroughly
  • Identify key concepts, terms, and tools
  • Note down any prerequisites or areas where you may need additional support
Create a collection of Excel templates and resources
Making a collection of Excel templates and resources will provide you with a valuable repository of tools that you can use for your coursework.
Show steps
  • Gather Excel templates and resources from various sources
  • Organize the templates and resources into a central location
Practice importing data from different sources
This activity will solidify your understanding of how to import data into Excel from different sources, which will be an essential skill to have for your course.
Browse courses on Data Import
Show steps
  • Import data from a text file
  • Import data from a CSV file
  • Import data from a web page
  • Import data from a database
Learn how to use Power Query to clean and transform data
Gaining proficiency with Power Query will greatly benefit you in this course by giving you the skills to efficiently clean and transform data.
Browse courses on Power Query
Show steps
  • Watch a tutorial on using Power Query
  • Follow along with the tutorial and practice using Power Query
  • Apply Power Query to your own datasets
Create a data model using Power BI
Demonstrating your proficiency in data modeling using Power BI via a data visualization project will provide practical application to the principles you'll learn in class.
Browse courses on Data Modeling
Show steps
  • Gather data from different sources
  • Create a data model using Power BI
  • Create visualizations using Power BI

Career center

Learners who complete Business Intelligence Workflow with Excel 2019 will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analysts use data analysis and data visualization to help businesses make informed decisions. They use their skills in data mining, data analysis, and data visualization to identify trends, patterns, and opportunities.
Data Analyst
Data Analysts use their skills in research, analysis, and data interpretation to solve business problems. They collect, clean, and analyze data from a variety of sources to identify trends and patterns. This course can help build a foundation for a career as a Data Analyst by providing the knowledge and skills needed to import, clean, and transform data into a usable format.
Data Engineer
Data Engineers design, build, and maintain the infrastructure that supports data storage and processing. They use their skills in data architecture, data engineering, and cloud computing to build and manage data pipelines and data warehouses.
Data Scientist
Data Scientists use their skills in mathematics, statistics, and computer science to solve complex business problems. They use their knowledge of data analysis and data mining to build predictive models and develop data-driven solutions.
Data Architect
Data Architects design and build the data architecture for an organization. They use their skills in data modeling, data integration, and data governance to create a data architecture that meets the needs of the business.
Database Administrator
Database Administrators manage and maintain databases. They use their skills in database management, data recovery, and data security to ensure that databases are running smoothly and that data is secure.
Systems Engineer
Systems Engineers design, build, and maintain computer systems. They use their skills in systems engineering, computer science, and networking to build and maintain computer systems that meet the needs of the business.
Information Security Analyst
Information Security Analysts protect computer systems and networks from cyberattacks. They use their skills in cybersecurity, network security, and data security to identify and mitigate security threats.
Security Analyst
Security Analysts protect computer systems and networks from cyberattacks. They use their skills in cybersecurity, network security, and data security to identify and mitigate security threats.
Cybersecurity Analyst
Cybersecurity Analysts protect computer systems and networks from cyberattacks. They use their skills in cybersecurity, network security, and data security to identify and mitigate security threats.
Network Engineer
Network Engineers design, build, and maintain computer networks. They use their skills in networking, network security, and network management to build and maintain networks that meet the needs of the business.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their skills in software engineering, programming, and computer science to build and maintain software systems.
Business Analyst
Business Analysts analyze business processes and systems to identify areas for improvement. They use their skills in business analysis, process improvement, and data analysis to help businesses improve their efficiency and effectiveness.
Management Consultant
Management Consultants advise businesses on how to improve their performance. They use their skills in business analysis, process improvement, and data analysis to help businesses identify and solve their business problems.
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. They use their skills in financial analysis, data analysis, and modeling to help investors make informed investment decisions.

Reading list

We've selected 12 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 Workflow with Excel 2019.
The book offers a comprehensive guide to using Power Query for data analysis in Excel. It covers all the essential topics, including data import, cleaning, and transformation. is helpful for learners who want to understand the fundamentals of using Power Query.
Provides a comprehensive overview of Excel 2019. It covers all the essential features and functions of Excel, including data analysis, visualization, and automation. This book is a useful reference for learners who want to learn more about the capabilities of Excel.
Introduces the fundamental concepts of data analytics using Excel. It covers topics such as data cleaning, data analysis, and data visualization. This book is helpful for learners who are new to data analytics and want to learn how to use Excel for data analysis.
The book provides a comprehensive guide to using Power BI and Power Query for data analysis and visualization. It covers all the essential topics, including data import, cleaning, transformation, and visualization. is helpful for learners who want to learn more about the capabilities of Power BI and Power Query.
Introduces the fundamental concepts of data analysis using Pandas and Python. It covers topics such as data cleaning, data analysis, and data visualization. This book is helpful for learners who are new to data analytics and want to learn how to use Pandas and Python for data analysis.
Introduces the fundamental concepts of machine learning using Python. It covers topics such as supervised learning, unsupervised learning, and deep learning. This book is helpful for learners who are new to machine learning and want to learn how to use Python for machine learning.
Introduces the fundamental concepts of deep learning using Python. It covers topics such as convolutional neural networks, recurrent neural networks, and deep learning architectures. This book is helpful for learners who are new to deep learning and want to learn how to use Python for deep learning.
Introduces the fundamental concepts of natural language processing using Python. It covers topics such as tokenization, stemming, lemmatization, and parsing. This book is helpful for learners who are new to natural language processing and want to learn how to use Python for natural language processing.
Introduces the fundamental concepts of statistical inference using Python. It covers topics such as probability, statistics, and hypothesis testing. This book is helpful for learners who are new to statistical inference and want to learn how to use Python for statistical inference.
Introduces the fundamental concepts of linear regression using Python. It covers topics such as linear models, regression analysis, and model evaluation. This book is helpful for learners who are new to linear regression and want to learn how to use Python for linear regression.
Introduces the fundamental concepts of data manipulation using Pandas. It covers topics such as data importing, data cleaning, and data transformation. This book is helpful for learners who are new to data manipulation and want to learn how to use Pandas for data manipulation.
Introduces the fundamental concepts of finance using Python. It covers topics such as financial data analysis, financial modeling, and financial risk management. This book is helpful for learners who are new to finance and want to learn how to use Python for finance.

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