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Pratheerth Padman
In this course, you'll go from being introduced to Microsoft Excel and its components to discovering how to load data into excel from 6 different types/sources. It is the first in a series that is designed to help you achieve mastery over Excel.
Read more
In this course, you'll go from being introduced to Microsoft Excel and its components to discovering how to load data into excel from 6 different types/sources. It is the first in a series that is designed to help you achieve mastery over Excel.
Read more
In this course, you'll go from being introduced to Microsoft Excel and its components to discovering how to load data into excel from 6 different types/sources. It is the first in a series that is designed to help you achieve mastery over Excel.
This is the first course on the Microsoft Excel Data Manipulation, Presentation, and Analysis path and as such this assumes no technical knowledge about excel. First, you'll start by getting introduced to Excel itself. Next, you'll discover what worksheets and workbooks are and how to manipulate them by moving and copying them around. Then, you'll move on to the meat of the course – importing data from various sources into Excel. Finally, you'll be given a brief introduction to these sources and the data usually found within and then go through the steps of loading the data into Excel. When you're finished with the course, you'll have a primary knowledge about Microsoft Excel and its components and how to load data into Excel from various sources.
Register for this course and see more details by visiting:
OpenCourser.com/course/kpxwix/loading
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What's inside
Syllabus
Course Overview
Creating and Manipulating Workbooks and Worksheets
Importing Data from Different Sources to Excel
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for beginners, as it assumes no prior knowledge of Microsoft Excel
Lays a foundation for subsequent courses in the Microsoft Excel Data Manipulation, Presentation, and Analysis path
Taught by Pratheerth Padman, who has expertise in Microsoft Excel and data analysis
Save this course
Save Loading Data into Excel 2016 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 Loading Data into Excel 2016 with these
activities:
Practice creating and manipulating workbooks
Show steps
Practice creating and modifying workbooks and worksheets to gain hands-on experience with these fundamental Excel components.
Browse courses on
Workbooks
Show steps
-
Create a new workbook with multiple worksheets and explore their structure.
-
Change worksheet names and colors to organize and identify them effectively.
-
Move and copy worksheets within the workbook to rearrange their order and create duplicates.
Practice exercises on data cleaning and transformation
Show steps
Gain hands-on experience in cleaning and transforming data in Excel, addressing common data quality issues and preparing it for analysis.
Browse courses on
Data Cleaning
Show steps
-
Identify and remove duplicate data.
-
Handle missing values by imputing or removing them.
-
Convert data types and formats to ensure consistency.
Guided tutorial on importing data from various sources
Show steps
Follow a step-by-step tutorial on how to import data from different sources into Excel, including text files, CSV files, databases, and external applications.
Browse courses on
Data Import
Show steps
-
Identify the different data sources you can import from in Excel.
-
Choose the appropriate import option based on the source of the data.
-
Configure import settings to ensure accurate and complete data transfer.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Tutorial on best practices for Excel data manipulation
Show steps
Explore established best practices for data manipulation in Excel, ensuring efficient and error-free workflows.
Show steps
-
Identify common pitfalls and errors in Excel data manipulation.
-
Learn techniques for avoiding and mitigating these issues.
-
Apply best practices to improve the accuracy, efficiency, and maintainability of your Excel data manipulation tasks.
Create a cheat sheet of Excel functions and formulas
Show steps
Compile a comprehensive cheat sheet summarizing key Excel functions and formulas, providing quick and easy reference for data manipulation tasks.
Browse courses on
Excel Functions
Show steps
-
Research and identify the most commonly used Excel functions and formulas.
-
Create a table or document with columns for function name, description, syntax, and examples.
-
Organize the cheat sheet logically, grouping functions by category or purpose.
Create a summary of different data sources
Show steps
Create a table or document summarizing the different data sources you can import into Excel, their strengths and limitations, and examples of their use cases.
Browse courses on
Data Sources
Show steps
-
Research and identify the various data sources that can be imported into Excel.
-
Create a table or document with columns for data source name, description, strengths, limitations, and use cases.
-
Populate the table with information for each data source.
Peer review of Excel data manipulation techniques
Show steps
Collaborate with peers to review and provide feedback on each other's Excel data manipulation techniques, sharing knowledge and improving understanding.
Browse courses on
Data Manipulation
Show steps
-
Find a peer who is also taking the course or has experience with Excel data manipulation.
-
Share your Excel workbooks or specific data manipulation techniques with your peer for review.
-
Provide constructive feedback on your peer's work, focusing on the accuracy, efficiency, and clarity of their techniques.
Project: Build a data dashboard using Excel
Show steps
Apply the skills learned in the course to create a practical and visually appealing data dashboard in Excel, showcasing data analysis and presentation capabilities.
Browse courses on
Data Dashboards
Show steps
-
Identify a dataset or topic for which you want to create a data dashboard.
-
Design the layout and structure of the dashboard, including charts, graphs, and other visualization elements.
-
Import and clean the data into Excel and apply appropriate formulas and functions for calculations and analysis.
-
Create charts, graphs, and tables to visualize and summarize the data.
-
Format and style the dashboard to make it visually appealing and easy to understand.
Practice creating and manipulating workbooks
Show steps
Practice creating and modifying workbooks and worksheets to gain hands-on experience with these fundamental Excel components.
Browse courses on
Workbooks
Show steps
Show steps
Show steps
- Create a new workbook with multiple worksheets and explore their structure.
- Change worksheet names and colors to organize and identify them effectively.
- Move and copy worksheets within the workbook to rearrange their order and create duplicates.
Practice exercises on data cleaning and transformation
Show steps
Gain hands-on experience in cleaning and transforming data in Excel, addressing common data quality issues and preparing it for analysis.
Browse courses on
Data Cleaning
Show steps
Show steps
Show steps
- Identify and remove duplicate data.
- Handle missing values by imputing or removing them.
- Convert data types and formats to ensure consistency.
Guided tutorial on importing data from various sources
Show steps
Follow a step-by-step tutorial on how to import data from different sources into Excel, including text files, CSV files, databases, and external applications.
Browse courses on
Data Import
Show steps
Show steps
Show steps
- Identify the different data sources you can import from in Excel.
- Choose the appropriate import option based on the source of the data.
- Configure import settings to ensure accurate and complete data transfer.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Tutorial on best practices for Excel data manipulation
Show steps
Explore established best practices for data manipulation in Excel, ensuring efficient and error-free workflows.
Show steps
Show steps
Show steps
- Identify common pitfalls and errors in Excel data manipulation.
- Learn techniques for avoiding and mitigating these issues.
- Apply best practices to improve the accuracy, efficiency, and maintainability of your Excel data manipulation tasks.
Create a cheat sheet of Excel functions and formulas
Show steps
Compile a comprehensive cheat sheet summarizing key Excel functions and formulas, providing quick and easy reference for data manipulation tasks.
Browse courses on
Excel Functions
Show steps
Show steps
Show steps
- Research and identify the most commonly used Excel functions and formulas.
- Create a table or document with columns for function name, description, syntax, and examples.
- Organize the cheat sheet logically, grouping functions by category or purpose.
Create a summary of different data sources
Show steps
Create a table or document summarizing the different data sources you can import into Excel, their strengths and limitations, and examples of their use cases.
Browse courses on
Data Sources
Show steps
Show steps
Show steps
- Research and identify the various data sources that can be imported into Excel.
- Create a table or document with columns for data source name, description, strengths, limitations, and use cases.
- Populate the table with information for each data source.
Peer review of Excel data manipulation techniques
Show steps
Collaborate with peers to review and provide feedback on each other's Excel data manipulation techniques, sharing knowledge and improving understanding.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Find a peer who is also taking the course or has experience with Excel data manipulation.
- Share your Excel workbooks or specific data manipulation techniques with your peer for review.
- Provide constructive feedback on your peer's work, focusing on the accuracy, efficiency, and clarity of their techniques.
Project: Build a data dashboard using Excel
Show steps
Apply the skills learned in the course to create a practical and visually appealing data dashboard in Excel, showcasing data analysis and presentation capabilities.
Browse courses on
Data Dashboards
Show steps
Show steps
Show steps
- Identify a dataset or topic for which you want to create a data dashboard.
- Design the layout and structure of the dashboard, including charts, graphs, and other visualization elements.
- Import and clean the data into Excel and apply appropriate formulas and functions for calculations and analysis.
- Create charts, graphs, and tables to visualize and summarize the data.
- Format and style the dashboard to make it visually appealing and easy to understand.
Career center
Learners who complete Loading Data into Excel 2016 will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their expertise in statistics, machine learning, and data management to build models that can predict future outcomes. They may work in a variety of industries, from healthcare to finance to retail. This course will teach you how to import and analyze data from a variety of sources, which is a critical skill for any Data Scientist. You will also learn how to build and evaluate models, which is essential for making accurate predictions.
Data Analyst
Data Analyst
Data Analysts are responsible for transforming raw data into a clear format that can be used for decision-making. They may work in many industries, from healthcare to retail to technology. This course will teach you how to import and analyze data from a variety of sources, which is a critical skill for any Data Analyst. Whether you are a novice or a seasoned professional, this course may be a helpful addition to your learning journey.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about consumers and markets. They use this information to help businesses make better decisions about their products and services. This course will teach you how to import and analyze data from a variety of sources, which is a critical skill for any Market Researcher. You will also learn how to build and evaluate models, which is essential for making accurate predictions about consumer behavior.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make recommendations about investments. They may work in a variety of industries, from banking to insurance to investment management. This course will teach you how to import and analyze financial data, which is a critical skill for any Financial Analyst. You will also learn how to build and evaluate models, which is essential for making accurate predictions about financial markets.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They ensure that data is accurate, secure, and accessible. This course will teach you the basics of data management, which is essential for any Database Administrator. You will learn how to import and analyze data from a variety of sources, as well as how to structure and protect your data.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. They may work in a variety of industries, from healthcare to finance to market research. This course will teach you the basics of data management, which is essential for any Statistician. You will learn how to import and analyze data from a variety of sources, as well as how to build and evaluate models.
Analyst
Analyst
Analysts typically translate complex data into actionable insights. They help decision makers at all levels of an organization make better choices. Almost every industry employs analysts of some kind, but a course on loading data like this one can be especially useful to those in business and finance. It will teach you how to structure and analyze data to identify trends and patterns. If you want to use data to tell persuasive stories, this course will go a long way in helping you on your journey to becoming an Analyst.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data. They may work in a variety of industries, from banking to insurance to investment management. This course will teach you the basics of data management, which is essential for any Quantitative Analyst. You will learn how to import and analyze data from a variety of sources, as well as how to build and evaluate models.
Strategy Analyst
Strategy Analyst
Strategy Analysts develop and implement strategies for organizations. They may work in a variety of industries, from consulting to healthcare to technology. This course will teach you the basics of data management, which is essential for any Strategy Analyst. You will learn how to import and analyze data from a variety of sources, as well as how to build and evaluate models.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems in a variety of industries, including healthcare, manufacturing, and transportation. This course will teach you the basics of data management, which is essential for any Operations Research Analyst. You will learn how to import and analyze data from a variety of sources, as well as how to build and evaluate models.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks that may affect an organization. They may work in a variety of industries, from finance to healthcare to manufacturing. This course will teach you the basics of data management, which is essential for any Risk Analyst. You will learn how to import and analyze data from a variety of sources, as well as how to build and evaluate models.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. This course will teach you the basics of data management, which is essential for any Product Manager. You will learn how to import and analyze data from a variety of sources, as well as how to build and evaluate models.
Data Engineer
Data Engineer
Data Engineers build and maintain the systems that collect, store, and manage data. This course will help you build a foundation in data management, which is essential for any Data Engineer. You will learn how to import and analyze data from a variety of sources, as well as how to structure and protect your data.
Information Architect
Information Architect
Information Architects design and organize websites and other digital products. They ensure that users can easily find and understand the information they are looking for. This course will teach you the basics of data management, which is essential for any Information Architect. You will learn how to import and analyze data from a variety of sources, as well as how to structure and protect your data.
System Analyst
System Analyst
System Analysts design and implement computer systems. They work with users to understand their needs and then develop systems that meet those needs. This course will teach you the basics of data management, which is essential for any System Analyst. You will learn how to import and analyze data from a variety of sources, as well as how to build and evaluate models.
For more career information including salaries, visit:
OpenCourser.com/course/kpxwix/loading
Reading list
We've selected 11 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
Loading Data into Excel 2016.
Save
Provides a comprehensive overview of VBA for Excel developers. It covers a wide range of topics, from basic programming concepts to advanced techniques such as object-oriented programming and data access. The book is written in a clear and concise style, with plenty of examples and exercises.
Is an authoritative reference for experienced Excel users, providing in-depth coverage of complex topics such as data analysis, financial modeling, and automation.
Comprehensive guide to using Visual Basic for Applications (VBA) to automate Excel tasks and create custom Excel solutions. It great resource for anyone who wants to learn VBA or who wants to take their Excel skills to the next level.
Provides a comprehensive overview of how to use Excel for data analysis and business modeling. It covers a wide range of topics from basic statistical analysis to advanced techniques such as predictive analytics and optimization. The book is written in a clear and concise style, with plenty of examples and exercises.
Save
Is useful for learning how to use Excel for data analysis, data visualization, and other statistical tasks. It great resource for anyone who wants to use Excel for more than just basic data entry and calculations.
Provides a comprehensive overview of the formulas and functions available in Excel 2019. It covers a wide range of topics, from basic arithmetic functions to advanced statistical and financial functions. The book is written in a clear and concise style, with plenty of examples.
Comprehensive guide to writing VBA code for Excel. It covers a wide range of topics from basic programming concepts to advanced techniques such as object-oriented programming and data access. This book can be very helpful for those interested in learning how to automate Excel with VBA.
This best-selling book introduces Microsoft Excel 2019 and shows you how to master the latest features and functions. It is written in a clear and concise style, with step-by-step instructions and plenty of examples.
Comprehensive guide to Microsoft Excel 2019, designed to enable you to create and modify simple and complex workbooks, format data and text, and quickly find the information you need. This book useful reference tool for users of all levels.
Provides a detailed overview of many of the advanced but commonly used features in Excel. It can serve as a great way to expand your knowledge of Excel.
Quick reference guide to Excel 2019, providing essential information in a concise and easy-to-use format. It great resource for anyone who needs a quick refresher on Excel or who wants to learn the basics of the program.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kpxwix/loading
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Time
48 hours
Level
Introductory
Via
Pluralsight
Instructor
Pratheerth Padman
Language
English
This course belongs to a
collection
called
Microsoft Excel Data Manipulation, Presentation, and Analysis. It's comprised of 11 courses:
- Loading Data into Excel 2016 (viewing)
- Searching and Manipulating Data in Excel 2016
- Formatting Excel 2016 Worksheets and Cells
- Calculating Cell Values with Formulas
- Summarizing and Organizing Data in Excel
- Displaying Tables with Excel
- Charting Data with Excel
- Exploring Data with PivotTables
- Visualizing Data with PivotCharts
- Formatting Excel Objects
- Distributing Excel Workbooks
Good to know
Suitable for beginners, as it assumes no prior knowledge of Microsoft Excel
Lays a foundation for subsequent courses in the Microsoft Excel Data Manipulation, Presentation, and Analysis path
Taught by Pratheerth Padman, who has expertise in Microsoft Excel and data analysis
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