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Paula Del Rey
In this project, you will learn the foundation of data analysis with Microsoft Excel using sales data from a sample company. You will learn how to use sorting and filtering tools to reorganize your data and access specific information about your data. You will also learn about the use of functions like IF and VLOOKUP functions to create new data and relate data from different tables. Finally, you will learn how to create PivotTables to summarize and look at comparisons within your data. These skills will help you efficiently perform data analysis on many different types of data and give you the foundation to expand your toolbox as you explore other strategies for data analysis.
Register for this course and see more details by visiting:
OpenCourser.com/course/yg1rez/introduction
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What's inside
Syllabus
Project Overview
In this project, you will learn the foundation of data analysis with Microsoft Excel using sales data from a sample company. You will use sorting and filtering tools, IF and VLOOKUP functions, and PivotTables.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Concerned with sales data, this program would be of consequence to students in the field of business administration
The foundation of data analysis is created with data from sales
Students will learn foundational skills in using Excel
The use of functions is covered, which are of use in the business world
PivotTables are covered, which are of use to viewers of this program
This program is taught by Paula Del Rey
Save this course
Save Introduction to Data Analysis using 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 Introduction to Data Analysis using Microsoft Excel with these
activities:
Review notes and assignments from previous data analysis courses
Show steps
Reviewing previous materials will help refresh your knowledge of data analysis concepts and techniques, making it easier to grasp the more advanced topics covered in this course.
Show steps
-
Gather notes and assignments from previous data analysis courses
-
Review the materials, focusing on key concepts and techniques
Compile a List of Excel Resources
Show steps
Gather and organize a collection of helpful Excel resources, such as online tutorials, documentation, and cheat sheets, to supplement the course materials and provide ongoing support.
Show steps
-
Search for online tutorials and documentation on Excel.
-
Identify reputable sources and compile a list of the most helpful ones.
Review basic sorting and filtering concepts
Show steps
Reviewing sorting and filtering concepts will strengthen your foundation in data manipulation, making it easier to understand the more advanced techniques covered in this course.
Browse courses on
Sorting Algorithms
Show steps
-
Recall the different sorting algorithms and their applications
-
Practice implementing basic sorting algorithms in Excel
-
Explore the different filtering options available in Excel
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Review Sorting and Filtering Functions
Show steps
Review the basics of using sorting and filtering functions in Microsoft Excel to better prepare for the course's lessons on data reorganization and data access.
Browse courses on
Excel Functions
Show steps
-
Open Microsoft Excel and create a sample dataset.
-
Practice sorting data by different columns.
-
Practice filtering data by specific criteria.
Read 'Excel for Data Analysis' by Conrad Carlberg
Show steps
Reading 'Excel for Data Analysis' will provide you with a comprehensive overview of data analysis techniques in Excel, complementing the skills you're learning in this course.
View
Bayesian Analysis with Excel and R (Addison...
on Amazon
Show steps
-
Obtain a copy of 'Excel for Data Analysis'
-
Read the book, focusing on chapters relevant to the course material
Learn about IF and VLOOKUP Functions
Show steps
Complete tutorials on the IF and VLOOKUP functions in Excel to enhance understanding of how to create new data and relate data from different tables, which are key concepts covered in the course.
Browse courses on
IF function
Show steps
-
Find online tutorials or documentation on the IF function.
-
Follow the tutorial to learn the syntax and usage of the IF function.
-
Repeat the process for the VLOOKUP function.
Follow tutorials on using IF and VLOOKUP functions
Show steps
Guided tutorials will provide you with step-by-step instructions on how to use IF and VLOOKUP functions, enhancing your ability to create complex formulas and manipulate data.
Browse courses on
IF function
Show steps
-
Find tutorials on using IF and VLOOKUP functions
-
Follow the tutorials and practice using the functions in Excel
-
Apply the functions to solve real-world data analysis problems
Participate in a Study Group
Show steps
Join or form a study group with other students taking the course to discuss concepts, work on problems together, and reinforce learning through peer collaboration.
Show steps
-
Find other students who are interested in forming a study group.
-
Decide on a regular meeting time and place.
-
Prepare for each meeting by reviewing the course material and completing any assigned readings or problems.
-
Attend the meetings and actively participate in discussions.
Practice Using IF and VLOOKUP Functions
Show steps
Complete exercises and practice problems to reinforce understanding and proficiency in using the IF and VLOOKUP functions, which are essential for data manipulation in the course.
Browse courses on
IF function
Show steps
-
Find practice problems or exercises on the IF function.
-
Attempt to solve the problems independently.
-
Repeat the process for practice problems on the VLOOKUP function.
Create a Data Analysis Project Using PivotTables
Show steps
Design and create a data analysis project using PivotTables to demonstrate the ability to summarize and compare data, a key skill covered in the course.
Browse courses on
PivotTables
Show steps
-
Choose a dataset that you are interested in analyzing.
-
Import the dataset into Microsoft Excel.
-
Create a PivotTable based on the dataset.
-
Use the PivotTable to summarize and compare data.
-
Write a brief report summarizing your findings.
Create a summary of PivotTable concepts and techniques
Show steps
Creating a summary of PivotTable concepts and techniques will reinforce your understanding of how to use PivotTables for data summarization and analysis, deepening your proficiency in data analysis.
Browse courses on
PivotTables
Show steps
-
Review the concepts of PivotTables, including their structure and components
-
Practice creating PivotTables in Excel
-
Summarize the key techniques for using PivotTables, such as filtering, sorting, and grouping
Analyze sales data using the skills learned in the course
Show steps
Completing this project will provide you with hands-on experience applying the skills you've learned to analyze real-world sales data, solidifying your understanding of the course material.
Show steps
-
Gather sales data from a relevant source
-
Clean and prepare the data for analysis
-
Apply sorting, filtering, and formula techniques to analyze the data
-
Create visualizations and reports to present your findings
Review notes and assignments from previous data analysis courses
Show steps
Reviewing previous materials will help refresh your knowledge of data analysis concepts and techniques, making it easier to grasp the more advanced topics covered in this course.
Show steps
Show steps
Show steps
- Gather notes and assignments from previous data analysis courses
- Review the materials, focusing on key concepts and techniques
Compile a List of Excel Resources
Show steps
Gather and organize a collection of helpful Excel resources, such as online tutorials, documentation, and cheat sheets, to supplement the course materials and provide ongoing support.
Show steps
Show steps
Show steps
- Search for online tutorials and documentation on Excel.
- Identify reputable sources and compile a list of the most helpful ones.
Review basic sorting and filtering concepts
Show steps
Reviewing sorting and filtering concepts will strengthen your foundation in data manipulation, making it easier to understand the more advanced techniques covered in this course.
Browse courses on
Sorting Algorithms
Show steps
Show steps
Show steps
- Recall the different sorting algorithms and their applications
- Practice implementing basic sorting algorithms in Excel
- Explore the different filtering options available in Excel
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Review Sorting and Filtering Functions
Show steps
Review the basics of using sorting and filtering functions in Microsoft Excel to better prepare for the course's lessons on data reorganization and data access.
Browse courses on
Excel Functions
Show steps
Show steps
Show steps
- Open Microsoft Excel and create a sample dataset.
- Practice sorting data by different columns.
- Practice filtering data by specific criteria.
Read 'Excel for Data Analysis' by Conrad Carlberg
Show steps
Reading 'Excel for Data Analysis' will provide you with a comprehensive overview of data analysis techniques in Excel, complementing the skills you're learning in this course.
View
Bayesian Analysis with Excel and R (Addison...
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of 'Excel for Data Analysis'
- Read the book, focusing on chapters relevant to the course material
Learn about IF and VLOOKUP Functions
Show steps
Complete tutorials on the IF and VLOOKUP functions in Excel to enhance understanding of how to create new data and relate data from different tables, which are key concepts covered in the course.
Browse courses on
IF function
Show steps
Show steps
Show steps
- Find online tutorials or documentation on the IF function.
- Follow the tutorial to learn the syntax and usage of the IF function.
- Repeat the process for the VLOOKUP function.
Follow tutorials on using IF and VLOOKUP functions
Show steps
Guided tutorials will provide you with step-by-step instructions on how to use IF and VLOOKUP functions, enhancing your ability to create complex formulas and manipulate data.
Browse courses on
IF function
Show steps
Show steps
Show steps
- Find tutorials on using IF and VLOOKUP functions
- Follow the tutorials and practice using the functions in Excel
- Apply the functions to solve real-world data analysis problems
Participate in a Study Group
Show steps
Join or form a study group with other students taking the course to discuss concepts, work on problems together, and reinforce learning through peer collaboration.
Show steps
Show steps
Show steps
- Find other students who are interested in forming a study group.
- Decide on a regular meeting time and place.
- Prepare for each meeting by reviewing the course material and completing any assigned readings or problems.
- Attend the meetings and actively participate in discussions.
Practice Using IF and VLOOKUP Functions
Show steps
Complete exercises and practice problems to reinforce understanding and proficiency in using the IF and VLOOKUP functions, which are essential for data manipulation in the course.
Browse courses on
IF function
Show steps
Show steps
Show steps
- Find practice problems or exercises on the IF function.
- Attempt to solve the problems independently.
- Repeat the process for practice problems on the VLOOKUP function.
Create a Data Analysis Project Using PivotTables
Show steps
Design and create a data analysis project using PivotTables to demonstrate the ability to summarize and compare data, a key skill covered in the course.
Browse courses on
PivotTables
Show steps
Show steps
Show steps
- Choose a dataset that you are interested in analyzing.
- Import the dataset into Microsoft Excel.
- Create a PivotTable based on the dataset.
- Use the PivotTable to summarize and compare data.
- Write a brief report summarizing your findings.
Create a summary of PivotTable concepts and techniques
Show steps
Creating a summary of PivotTable concepts and techniques will reinforce your understanding of how to use PivotTables for data summarization and analysis, deepening your proficiency in data analysis.
Browse courses on
PivotTables
Show steps
Show steps
Show steps
- Review the concepts of PivotTables, including their structure and components
- Practice creating PivotTables in Excel
- Summarize the key techniques for using PivotTables, such as filtering, sorting, and grouping
Analyze sales data using the skills learned in the course
Show steps
Completing this project will provide you with hands-on experience applying the skills you've learned to analyze real-world sales data, solidifying your understanding of the course material.
Show steps
Show steps
Show steps
- Gather sales data from a relevant source
- Clean and prepare the data for analysis
- Apply sorting, filtering, and formula techniques to analyze the data
- Create visualizations and reports to present your findings
Career center
Learners who complete Introduction to Data Analysis using Microsoft Excel will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
As a Data Analyst, you will be analyzing large amounts of data, using a variety of statistical techniques, and helping businesses make better decisions. One of the most important tools for data analysts is Microsoft Excel, and this data analysis course will help you learn its basic functions and how to use it for practical business purposes.
Business Analyst
Business Analyst
As a Business Analyst, you will be helping businesses identify and solve problems and opportunities. One of the key skills for business analysts is data analysis, and this course will help you learn the foundations of data analysis, as well as provide you with a working knowledge of Microsoft Excel, one of the most widely used business tools.
Financial Analyst
Financial Analyst
As a Financial Analyst, you will use data analysis to help businesses make financial decisions. This course on the basics of data analysis will help you learn how to use Microsoft Excel to assist with the kinds of data analysis tasks financial analysts often have to undertake.
Data Scientist
Data Scientist
Data Scientists use data analysis to solve business problems, and while they typically use more advanced data analysis and machine learning tools, Microsoft Excel is a valuable tool for data scientists, especially in data preparation and basic data exploration phases. This course will help teach you how to use Microsoft Excel to handle these kinds of tasks.
Project Manager
Project Manager
As a Project Manager, you will be responsible for planning, executing, and closing projects. Data analysis skills are essential for project managers, and Microsoft Excel is one of the most important tools used to analyze project data. This course will help you build a foundation for data analysis and will teach you how to use Microsoft Excel to manage project data.
Market Researcher
Market Researcher
As a Market Researcher, you will collect, analyze, and interpret data about markets and customers. Microsoft Excel is one of the most important tools for market researchers, and this course will help you build a working knowledge of Microsoft Excel and data analysis techniques.
Operations Research Analyst
Operations Research Analyst
As an Operations Research Analyst, you will analyze data to help improve the efficiency and effectiveness of businesses. This course on the basics of data analysis will help you build a foundation for data analysis, including how to use Microsoft Excel to handle and analyze large amounts of data.
Statistician
Statistician
As a Statistician, you will collect, analyze, and interpret data to help businesses make better decisions. This course on the basics of data analysis will help you learn how to use Microsoft Excel to assist with the kinds of data analysis tasks that statisticians require.
Management Consultant
Management Consultant
As a Management Consultant, you will help businesses identify and solve problems and opportunities. Data analysis is a key skill for management consultants, and this course will help you learn the foundations of data analysis, as well as provide you with a working knowledge of Microsoft Excel, one of the most widely used business tools.
Data Engineer
Data Engineer
As a Data Engineer, you will design and build systems and infrastructure to manage and analyze data. This course on the basics of data analysis will help you learn how to use Microsoft Excel to work with data, as well as provide you with a foundation for data analysis.
Database Administrator
Database Administrator
As a Database Administrator, you will be responsible for managing and maintaining databases, which store and organize large amounts of data. Data analysis skills are essential for database administrators, and Microsoft Excel is a valuable tool for data analysis. This course will help you learn how to use Microsoft Excel to analyze database data.
Software Engineer
Software Engineer
As a Software Engineer, you will design, develop, and maintain software applications. Data analysis skills are becoming increasingly important for software engineers, and this course will help you build a foundation in data analysis and teach you how to use Microsoft Excel to handle and analyze large amounts of data.
Product Manager
Product Manager
As a Product Manager, you will be responsible for the development and launch of new products and services. Data analysis skills are essential for product managers to measure and interpret product performance. This course on the basics of data analysis will help you learn how to use Microsoft Excel to handle and analyze data.
Sales Manager
Sales Manager
As a Sales Manager, you will be responsible for leading and motivating a team of sales representatives to achieve sales goals. Data analysis skills are essential for sales managers to track and analyze sales performance. This course on the basics of data analysis will help you learn how to use Microsoft Excel to analyze sales data to improve sales performance.
Marketing Manager
Marketing Manager
As a Marketing Manager, you will be responsible for developing and implementing marketing campaigns to promote products and services. Data analysis skills are essential for marketing managers to track and analyze marketing campaign performance. This course on the basics of data analysis will help you learn how to use Microsoft Excel to analyze marketing data to improve marketing campaign performance.
For more career information including salaries, visit:
OpenCourser.com/course/yg1rez/introduction
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
Introduction to Data Analysis using Microsoft Excel.
Practical guide to data analysis using Microsoft Excel. It covers a wide range of topics, from data entry and cleaning to statistical analysis and visualization. It valuable resource for anyone who wants to learn how to use Excel to analyze data.
Comprehensive guide to data analysis using Microsoft Excel. It covers a wide range of topics, from data entry and cleaning to statistical analysis and visualization. It valuable resource for anyone who wants to learn how to use Excel to analyze data.
Provides a comprehensive overview of Excel for scientists and engineers. It covers a wide range of topics, from data analysis to visualization, and includes numerous examples and exercises to help readers understand the material.
Save
Provides a comprehensive overview of data visualization with Microsoft Power BI. It covers a wide range of topics, from data preparation to data visualization, and includes numerous examples and exercises to help readers understand the material.
Provides a detailed overview of data analysis and business modeling using Microsoft Excel. It covers a wide range of topics, from basic concepts to advanced techniques, and includes numerous examples and exercises to help readers understand the material.
Beginner-friendly guide to Power BI Desktop. It covers a wide range of topics, from data preparation to data visualization, and includes numerous examples and exercises to help readers understand the material.
Beginner-friendly guide to data analysis using Microsoft Excel. It covers a wide range of topics, from data entry and cleaning to statistical analysis and visualization. It valuable resource for anyone who wants to learn the basics of data analysis using Excel.
Provides a comprehensive overview of creating dashboards and reports using Microsoft Excel. It covers a wide range of topics, from data visualization to data analysis, and includes numerous examples and exercises to help readers understand the material.
Beginner-friendly guide to Microsoft Power BI. It covers a wide range of topics, from data preparation to data visualization, and includes numerous examples and exercises to help readers understand the material.
Save
Comprehensive guide to Microsoft Excel 2016. It covers a wide range of topics, from basic concepts to advanced techniques, and includes numerous examples and exercises to help readers understand the material.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/yg1rez/introduction
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Paula Del Rey
Language
English
Transcript
tiếng Việt
Good to know
Concerned with sales data, this program would be of consequence to students in the field of business administration
The foundation of data analysis is created with data from sales
Students will learn foundational skills in using Excel
The use of functions is covered, which are of use in the business world
PivotTables are covered, which are of use to viewers of this program
This program is taught by Paula Del Rey
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