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Josh Bernhard ,
Derek Steer,
Mat Leonard,
Dana Sheahan,
and
Sam Nelson
Take Udacity's Introduction to Data Analytics for Business course and learn to utilize data & statistics in business strategy & planning. Gain skills to drive business results.
Register for this course and see more details by visiting:
OpenCourser.com/course/mht4q9/introduction
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What's inside
Syllabus
In this lesson, you will learn about data types, measures of center, and the basics of statistical notation.
In this lesson, you will learn about measures of spread, shape, and outliers as associated with quantitative data. You will also get a first look at inferential statistics.
Read more
Syllabus
In this lesson, you will learn about data types, measures of center, and the basics of statistical notation.
In this lesson, you will learn about measures of spread, shape, and outliers as associated with quantitative data. You will also get a first look at inferential statistics.
Read more
In this lesson, you will learn about the basic functionality for spreadsheet software, use cell referencing and menu shortcuts.
In this lesson, you will learn basic spreadsheet function: sort and filter data, use text and math functions, split columns and remove duplicates.
In this lesson, you will learn how to summarize data with aggregation and conditional functions. You will learn how to use pivot tables and lookup functions.
In this lesson you will build data visualizations for quantitative and categorical data; create pie, bar, line, scatter, histogram, and boxplot charts, and build professional presentations.
This lesson will cover how to calculate business metrics used by business analysts across a range of business functions. You will also learn how to calculate and interpret key performance metrics.
This lesson will cover the fundamentals of sales and financial forecasting models. You will learn how to create forecast models using advanced lookup and data validation tools in Excel and Sheets.
In this project, you will use a data set containing financial performance data from companies listed in NYSE S&P to create an income statement and forecast financial metrics.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Designed explicitly for business professionals looking to gain data analytics skills
Teaches core data analytics concepts and techniques used in business
Taught by experts in the field with extensive industry experience
Develops strong data analysis and visualization skills for business decision-making
In-demand skills that can enhance career prospects in various business roles
May require prior knowledge of basic statistics and spreadsheet software
Save this course
Save Introduction to Data to your list so you can find it easily later:
Save
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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 with these
activities:
Review basic statistics concepts
Show steps
A solid understanding of basic statistics concepts is essential for data analytics.
Browse courses on
Statistics
Show steps
Read 'Data Analytics for Dummies' by Michael R. Millman
Show steps
This book provides a comprehensive overview of data analytics concepts and techniques, making it a great resource for beginners in the field.
View
Fishman's Pulmonary Diseases and Disorders, 2...
on Amazon
Show steps
Develop a personal data analytics portfolio
Show steps
Developing a portfolio of data analytics projects will allow you to apply the skills you learn in this course to real-world problems and build a foundation for your future career.
Show steps
-
Identify a problem or opportunity that you can address using data analytics.
-
Gather and clean the data you need.
-
Analyze the data using the techniques you learn in this course.
-
Develop a solution or recommendation based on your analysis.
-
Present your findings in a clear and concise manner.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete the 'Data Analytics with Python' tutorial on Coursera
Show steps
This tutorial will provide you with a hands-on introduction to data analytics using Python, one of the most popular programming languages in the field.
Show steps
-
Create a Coursera account.
-
Enroll in the 'Data Analytics with Python' tutorial.
-
Complete the tutorial modules and exercises.
Practice data manipulation and visualization using Excel or Google Sheets
Show steps
Regular practice with data manipulation and visualization tools will help you develop the skills necessary to effectively analyze and present data.
Show steps
-
Import a dataset into Excel or Google Sheets.
-
Clean and organize the data.
-
Create charts and graphs to visualize the data.
-
Practice using formulas and functions to manipulate the data.
Develop a data analytics dashboard using Tableau or Power BI
Show steps
Creating an interactive data analytics dashboard will allow you to visualize and communicate data insights effectively.
Show steps
-
Choose a dataset and identify the insights you want to communicate.
-
Select a data visualization tool such as Tableau or Power BI.
-
Create a dashboard that visualizes your insights.
-
Publish your dashboard and share it with others.
Volunteer at a non-profit organization focused on data analytics
Show steps
Volunteering your skills will allow you to gain practical experience and make a valuable contribution to your community.
Show steps
-
Research non-profit organizations in your area that focus on data analytics.
-
Contact the organizations and inquire about volunteer opportunities.
-
Attend volunteer training and orientation.
-
Volunteer your time and skills to support the organization's mission.
Create a blog post or article on a data analytics topic
Show steps
Sharing your knowledge through writing will help you solidify your understanding of data analytics concepts.
Show steps
-
Choose a topic that interests you and that you have some expertise in.
-
Research the topic thoroughly.
-
Organize your thoughts and write an outline.
-
Write a clear and concise blog post or article.
-
Publish your content online.
Review basic statistics concepts
Show steps
A solid understanding of basic statistics concepts is essential for data analytics.
Browse courses on
Statistics
Show steps
Show steps
Show steps
Read 'Data Analytics for Dummies' by Michael R. Millman
Show steps
This book provides a comprehensive overview of data analytics concepts and techniques, making it a great resource for beginners in the field.
View
Fishman's Pulmonary Diseases and Disorders, 2...
on Amazon
Show steps
Show steps
Show steps
Develop a personal data analytics portfolio
Show steps
Developing a portfolio of data analytics projects will allow you to apply the skills you learn in this course to real-world problems and build a foundation for your future career.
Show steps
Show steps
Show steps
- Identify a problem or opportunity that you can address using data analytics.
- Gather and clean the data you need.
- Analyze the data using the techniques you learn in this course.
- Develop a solution or recommendation based on your analysis.
- Present your findings in a clear and concise manner.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete the 'Data Analytics with Python' tutorial on Coursera
Show steps
This tutorial will provide you with a hands-on introduction to data analytics using Python, one of the most popular programming languages in the field.
Show steps
Show steps
Show steps
- Create a Coursera account.
- Enroll in the 'Data Analytics with Python' tutorial.
- Complete the tutorial modules and exercises.
Practice data manipulation and visualization using Excel or Google Sheets
Show steps
Regular practice with data manipulation and visualization tools will help you develop the skills necessary to effectively analyze and present data.
Show steps
Show steps
Show steps
- Import a dataset into Excel or Google Sheets.
- Clean and organize the data.
- Create charts and graphs to visualize the data.
- Practice using formulas and functions to manipulate the data.
Develop a data analytics dashboard using Tableau or Power BI
Show steps
Creating an interactive data analytics dashboard will allow you to visualize and communicate data insights effectively.
Show steps
Show steps
Show steps
- Choose a dataset and identify the insights you want to communicate.
- Select a data visualization tool such as Tableau or Power BI.
- Create a dashboard that visualizes your insights.
- Publish your dashboard and share it with others.
Volunteer at a non-profit organization focused on data analytics
Show steps
Volunteering your skills will allow you to gain practical experience and make a valuable contribution to your community.
Show steps
Show steps
Show steps
- Research non-profit organizations in your area that focus on data analytics.
- Contact the organizations and inquire about volunteer opportunities.
- Attend volunteer training and orientation.
- Volunteer your time and skills to support the organization's mission.
Create a blog post or article on a data analytics topic
Show steps
Sharing your knowledge through writing will help you solidify your understanding of data analytics concepts.
Show steps
Show steps
Show steps
- Choose a topic that interests you and that you have some expertise in.
- Research the topic thoroughly.
- Organize your thoughts and write an outline.
- Write a clear and concise blog post or article.
- Publish your content online.
Career center
Learners who complete Introduction to Data will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
As a Data Analyst, your work will involve utilizing data to solve analytical problems in both qualitative and quantitative ways. The Introduction to Data Analytics for Business course can help you get started in the role of a Data Analyst by giving a firm foundation in fundamental concepts like data collection and interpretation, statistical analysis, and data visualization.
Business Analyst
Business Analyst
A Business Analyst will most often leverage various data analysis techniques in order to contribute to fact-based decision making. By taking this course, you will learn how to use statistical and spreadsheet software and apply it to diverse business applications. These skills can help you prepare for this role.
Market Research Analyst
Market Research Analyst
Market Research Analysts leverage data to understand trends and consumer and market patterns. This course can help you get started in the role of a Market Research Analyst by providing a basis in business data analysis and visualization.
Data Scientist
Data Scientist
Data Scientists employ a variety of tools and techniques to extract meaning from data. This course can be helpful to an aspiring Data Scientist, as it covers data analysis and visualization, two core competencies of a Data Scientist.
Financial Analyst
Financial Analyst
Financial Analysts gather and interpret data in order to help individuals and groups make investment decisions. This course can help you build a foundation in the skills needed to be a Financial Analyst by providing a background in data collection and analysis.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical methods to solve complex problems in business and industry. The Introduction to Data Analytics for Business course may help prepare you for the role of an Operations Research Analyst by providing a background in data analysis and visualization.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present numerical data. The Introduction to Data Analytics for Business course may be useful as it provides a foundation in the fundamentals of statistics.
Economist
Economist
Economists study how societies produce, distribute, and consume goods and services. The Introduction to Data Analytics for Business course may be useful as it provides an introduction to data analysis.
Actuary
Actuary
Actuaries evaluate the financial consequences of risk. The Introduction to Data Analytics for Business course may be useful as it provides an introduction to data analysis.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. The Introduction to Data Analytics for Business course may be useful as it provides an introduction to data analysis and visualization.
Product Manager
Product Manager
Product Managers define and oversee the development of products. The Introduction to Data Analytics for Business course may be useful as it provides an introduction to data analysis.
Consultant
Consultant
Consultants identify and solve problems that businesses face. The Introduction to Data Analytics for Business course may be useful as it provides an introduction to data analysis and visualization.
Data Engineer
Data Engineer
Data Engineers build and maintain data infrastructure. The Introduction to Data Analytics for Business course may be useful as it provides an introduction to data analysis.
Database Administrator
Database Administrator
Database Administrators manage databases. The Introduction to Data Analytics for Business course may be useful as it provides an introduction to data analysis.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software. The Introduction to Data Analytics for Business course may be useful as it provides an introduction to data analysis.
For more career information including salaries, visit:
OpenCourser.com/course/mht4q9/introduction
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
Introduction to Data.
This widely-used textbook provides a solid foundation in statistical learning methods, including supervised and unsupervised learning, regression analysis, and classification. While it's a more advanced read, it offers a comprehensive and rigorous approach to understanding the underlying principles of data analysis.
Save
This comprehensive textbook provides a thorough understanding of forecasting methods and techniques. It covers topics such as time series analysis, regression models, and machine learning algorithms, making it a valuable reference for those seeking to develop forecasting skills.
Provides a comprehensive guide to data analysis using Python and Pandas. It covers topics such as data loading and cleaning, data manipulation, and statistical analysis, making it a valuable resource for those who want to use Python for data analysis.
Save
This comprehensive reference book covers various data mining techniques, including association rule mining, clustering, classification, and forecasting. It's an excellent resource for those seeking a deeper understanding of data mining algorithms and their applications.
Save
Provides a clear and accessible introduction to data visualization techniques. It covers topics such as chart types, color theory, and data storytelling, making it a helpful resource for those seeking to effectively communicate data insights.
This practical guide provides a step-by-step approach to using Tableau Desktop for data visualization and analysis. It covers topics such as data preparation, chart creation, and dashboard development, making it a valuable resource for those seeking to use Tableau effectively.
Provides a comprehensive guide to business intelligence using SQL Server. It covers topics such as data warehousing, data mining, and reporting, making it a valuable resource for those who want to use SQL Server for business intelligence.
Save
Provides a practical introduction to machine learning for business. It covers topics such as supervised learning, unsupervised learning, and model evaluation, making it a valuable resource for those who want to use machine learning to solve business problems.
This straightforward guide explains key business metrics and how to use them to measure performance and make informed decisions. It's a helpful resource for those who want to understand the metrics commonly used in business and how to interpret them.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mht4q9/introduction
Share
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Effort
3 weeks
Level
Introductory
Via
Udacity
Instructors
Josh Bernhard
Derek Steer
Mat Leonard
Dana Sheahan
Sam Nelson
Language
English
Good to know
Designed explicitly for business professionals looking to gain data analytics skills
Teaches core data analytics concepts and techniques used in business
Taught by experts in the field with extensive industry experience
Develops strong data analysis and visualization skills for business decision-making
In-demand skills that can enhance career prospects in various business roles
May require prior knowledge of basic statistics and spreadsheet software
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