The following courses cover topics in Statistics and Data Analysis primarily for business purposes.. Although some may be part of Learning Pathways offered by the platform delivering the courses, each individual course can still be accessed for free. If you wish to gain a Certificate, you'll need to pay a fee and complete and pass the course.
The courses have been sorted into the following categories:
Preparing for the AP* Statistics Exam
Tennessee Board of Regents
This course will introduce students to the major concepts and tools for collecting, analyzing and drawing conclusions from data.
Free
Open course
edX
Basic Statistics
University of Amsterdam
Part of a 5-course series, the Methods and Statistics in Social Sciences Specialization
Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics.
Free
On demand
Coursera
Intro to Statistics
Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.
Free
On demand
Udacity
Intro to Descriptive Statistics
Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.
Free
On demand
Udacity
Intro to Inferential Statistics
Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.
Free
On demand
Udacity
Knowledge Management and Big Data in Business
The Hong Kong Polytechnic University
The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence. In the knowledge era, the most value added job will be to manage knowledge, which includes how knowledge is created, mined, processed, shared and reused in different trades and industry. At the same time, the amount of data and information (prerequisites of knowledge) is exploding exponentially. By 2020, IDC projects that the size of the digital universe will reach 40 zetabytes from all sources including, websites, weblog, sensors, and social media. Big data will transform how we live, work and even think. These trends and more will have a profound effect on how we see the world and create policies.
Free
Scheduled
edX
Big Data: Data Visualisation
Queensland University of Technology
Data visualisation is an important visual method for effective communication and analysing large datasets. Through data visualisations we are able to draw conclusions from data that sometimes are not immediately obvious, and interact with the data in an entirely different way. This free online course will provide you with an informative introduction to the methods, tools and processes involved in visualising big data.
Free
Scheduled
FutureLearn
Big Data: from Data to Decisions
Queensland University of Technology
Data is everywhere and can be obtained from many different sources. Digital data can be obtained from social media, images, audio recordings and sensors, and electronic data is quite often available as real-time data streams. Many of these datasets have the potential to provide solutions to important problems, and advice in making decisions in health, science, sociology, engineering, business, information technology, and government. However, the size, complexity, quality and diversity of these datasets often make them difficult to process and analyse using standard statistical methods, software or equipment.
For this reason, we use new technological or methodological solutions. Join us for this free online course and we’ll share these with you using our unique, multi-faceted approach to big data. We’ll show you how you can meet the demand for analytics in your field.
Free
Scheduled
FutureLearn
Big Data: Mathematical Modelling
Queensland University of Technology
Have you ever wondered how mathematics can be used to solve big data problems? This course will show you how. Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analysing large datasets.
We will begin by explaining how maths underpins many of the tools that are used to manage and analyse big data. We will show you how very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools.
Free
Scheduled
FutureLearn
Big Data: Statistical Inference and Machine Learning
Queensland University of Technology
Everyone has heard of big data. Many people have big data. But only some people know what to do with big data when they have it.
So what’s the problem? Well, the big problem is that the data is big—the size, complexity and diversity of datasets increases every day. This means that we need new technological or methodological solutions for analysing data. There is a great demand for people with the skills and know-how to do big data analytics.
This free online course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information.
Free
Scheduled
FutureLearn
Introduction to Process Mining with ProM
Eindhoven University of Technology
Process mining is a new and exciting field of data analytics, which enables you to analyse and visualise business processes and related behaviour based on event logs. It provides a critical, process-centric perspective on information, which is not available with classical data mining or machine learning techniques. In this free online course, we will explore a number of process mining algorithms and techniques.
Free
Scheduled
FutureLearn
Big Data for Better Performance (BigData)
In a digital world, data has gone ‘big’ – ushering in the age of the zettabyte. This course shows you how big data equals business opportunity. Find out what ‘big data’ means and where it comes from – including ordinary transactions and social interactions. See how smart businesses use data to target their offerings and get ahead of market trends. Consider how marketing data can be based on false assumptions such as the ‘last click myth’.
Free
Scheduled
Open2Study
Career Edge: Business and Data Analysis
FullbridgeX
Understanding how to analyze, synthesize and communicate data is increasingly critical in the modern workplace. This course teaches you how to evaluate market and financial data, and present insights effectively. You will develop the foundational skills to use Excel as a powerful analytical and communications tool. Using innovative educational methods, including interactive assessments and games, you will learn, practice, and apply techniques to build confidence in your analytical skill set.
This is the fourth course in the five-part Career Edge Fullbridge XSeries, designed to prepare you for career success.
Free
On demand
edX
Data Analysis: Take It to the MAX()
Delft University of Technology
This course is part of the Data Analysis XSeries.
EX101x is for all of those struggling with data analysis. That crazy data collection from your boss? Megabytes of sensor data to analyze? Looking for a smart way visualize your data in order to make sense out of it? We’ve got you covered!
Free
Open course
edX
Data Analysis: Visualization and Dashboard Design
Delft University of Technology
This course is part of the Data Analysis XSeries.
Struggling with data at work? Wasting valuable time working in multiple spreadsheets to gain an overview of your business? Find it hard to gain sharp insights from piles of data on your desktop?
If you are looking to enhance your efficiency in the office and improve your performance by making sense of data faster and smarter, then this advanced data analysis course is for you.
Free
Scheduled
edX
Data Analysis: Building Your Own Business Dashboard
Delft University of Technology
This course is part of the Data Analysis XSeries.
In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.
Free
Scheduled
edX
Analyzing and Visualizing Data with Excel
Microsoft
In this course, get an introduction to the latest versions of these new tools in Excel 2016. See how to import data from different sources, create mashups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations—from simple to more advanced—can be expressed using the DAX calculation engine. And see how these different technologies work together inside Excel. Learn 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 consumed on mobile devices.
Free
Scheduled
edX
The courses have been sorted into the following categories:
Preparing for the AP* Statistics Exam
Tennessee Board of Regents
This course will introduce students to the major concepts and tools for collecting, analyzing and drawing conclusions from data.
Free
Open course
edX
Basic Statistics
University of Amsterdam
Part of a 5-course series, the Methods and Statistics in Social Sciences Specialization
Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics.
Free
On demand
Coursera
Intro to Statistics
Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.
Free
On demand
Udacity
Intro to Descriptive Statistics
Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.
Free
On demand
Udacity
Intro to Inferential Statistics
Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.
Free
On demand
Udacity
Knowledge Management and Big Data in Business
The Hong Kong Polytechnic University
The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence. In the knowledge era, the most value added job will be to manage knowledge, which includes how knowledge is created, mined, processed, shared and reused in different trades and industry. At the same time, the amount of data and information (prerequisites of knowledge) is exploding exponentially. By 2020, IDC projects that the size of the digital universe will reach 40 zetabytes from all sources including, websites, weblog, sensors, and social media. Big data will transform how we live, work and even think. These trends and more will have a profound effect on how we see the world and create policies.
Free
Scheduled
edX
Big Data: Data Visualisation
Queensland University of Technology
Data visualisation is an important visual method for effective communication and analysing large datasets. Through data visualisations we are able to draw conclusions from data that sometimes are not immediately obvious, and interact with the data in an entirely different way. This free online course will provide you with an informative introduction to the methods, tools and processes involved in visualising big data.
Free
Scheduled
FutureLearn
Big Data: from Data to Decisions
Queensland University of Technology
Data is everywhere and can be obtained from many different sources. Digital data can be obtained from social media, images, audio recordings and sensors, and electronic data is quite often available as real-time data streams. Many of these datasets have the potential to provide solutions to important problems, and advice in making decisions in health, science, sociology, engineering, business, information technology, and government. However, the size, complexity, quality and diversity of these datasets often make them difficult to process and analyse using standard statistical methods, software or equipment.
For this reason, we use new technological or methodological solutions. Join us for this free online course and we’ll share these with you using our unique, multi-faceted approach to big data. We’ll show you how you can meet the demand for analytics in your field.
Free
Scheduled
FutureLearn
Big Data: Mathematical Modelling
Queensland University of Technology
Have you ever wondered how mathematics can be used to solve big data problems? This course will show you how. Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analysing large datasets.
We will begin by explaining how maths underpins many of the tools that are used to manage and analyse big data. We will show you how very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools.
Free
Scheduled
FutureLearn
Big Data: Statistical Inference and Machine Learning
Queensland University of Technology
Everyone has heard of big data. Many people have big data. But only some people know what to do with big data when they have it.
So what’s the problem? Well, the big problem is that the data is big—the size, complexity and diversity of datasets increases every day. This means that we need new technological or methodological solutions for analysing data. There is a great demand for people with the skills and know-how to do big data analytics.
This free online course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information.
Free
Scheduled
FutureLearn
Introduction to Process Mining with ProM
Eindhoven University of Technology
Process mining is a new and exciting field of data analytics, which enables you to analyse and visualise business processes and related behaviour based on event logs. It provides a critical, process-centric perspective on information, which is not available with classical data mining or machine learning techniques. In this free online course, we will explore a number of process mining algorithms and techniques.
Free
Scheduled
FutureLearn
Big Data for Better Performance (BigData)
In a digital world, data has gone ‘big’ – ushering in the age of the zettabyte. This course shows you how big data equals business opportunity. Find out what ‘big data’ means and where it comes from – including ordinary transactions and social interactions. See how smart businesses use data to target their offerings and get ahead of market trends. Consider how marketing data can be based on false assumptions such as the ‘last click myth’.
Free
Scheduled
Open2Study
Career Edge: Business and Data Analysis
FullbridgeX
Understanding how to analyze, synthesize and communicate data is increasingly critical in the modern workplace. This course teaches you how to evaluate market and financial data, and present insights effectively. You will develop the foundational skills to use Excel as a powerful analytical and communications tool. Using innovative educational methods, including interactive assessments and games, you will learn, practice, and apply techniques to build confidence in your analytical skill set.
This is the fourth course in the five-part Career Edge Fullbridge XSeries, designed to prepare you for career success.
Free
On demand
edX
Data Analysis: Take It to the MAX()
Delft University of Technology
This course is part of the Data Analysis XSeries.
EX101x is for all of those struggling with data analysis. That crazy data collection from your boss? Megabytes of sensor data to analyze? Looking for a smart way visualize your data in order to make sense out of it? We’ve got you covered!
Free
Open course
edX
Data Analysis: Visualization and Dashboard Design
Delft University of Technology
This course is part of the Data Analysis XSeries.
Struggling with data at work? Wasting valuable time working in multiple spreadsheets to gain an overview of your business? Find it hard to gain sharp insights from piles of data on your desktop?
If you are looking to enhance your efficiency in the office and improve your performance by making sense of data faster and smarter, then this advanced data analysis course is for you.
Free
Scheduled
edX
Data Analysis: Building Your Own Business Dashboard
Delft University of Technology
This course is part of the Data Analysis XSeries.
In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.
Free
Scheduled
edX
Analyzing and Visualizing Data with Excel
Microsoft
In this course, get an introduction to the latest versions of these new tools in Excel 2016. See how to import data from different sources, create mashups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations—from simple to more advanced—can be expressed using the DAX calculation engine. And see how these different technologies work together inside Excel. Learn 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 consumed on mobile devices.
Free
Scheduled
edX
