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Essentials of Data and Analytics (online)

Without previous experience in data and analytics, it can be challenging to discuss problems, solutions, and processes with experts. When you enter the world of analytics, you may find the terminology confusing and be unsure of how to decide what you should purchase for an analytics project. In meeting this challenge, it is helpful to see typical case scenarios in analytics and the ingredients involved in these types of problems.

With the information gained from the Essentials of Data and Analytics online course, you will be able to recognize how the value of data plays an essential role in decision-making and daily life. This online course assists managers and experts in decision-making by presenting definitions and terminology combined with case studies and scenarios for further reflection and helps the user understand the fundamentals of data and analytics and how to use them in decision-making.

The course comprises two learning paths, with data strategy and analytics divided into separate sections. Each has several modules on different topics to give the participant a comprehensive introduction to the field. It is a mix of videos, reading material, and thought-provoking reflection exercises to support learning and spark deeper observation.

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By completing the course, the participant will get
an Aalto EE Essentials of Data and Analytics certificate worth 0.5 ECTS.

Gain access to 11 study modules, each with interactive video lectures, reflection tasks, and reading material covering data and analytics from different perspectives.

Work at your own pace and gain an understanding of data and analytics processes and methodologies.

The course videos are accompanied by interactive questions to check your knowledge along the way, further reading material, and a Course Workbook to help you on your learning journey.

Watch the introduction video


During the online course, you will reflect on the importance of data, which, together with analytics, poses a strong base in any company. The course provides teams with an essential level of skill and assists the participants in making informed decisions.

Understand the importance of good quality data and what to consider when managing data
Learn how to make analytical decisions based on data
Recognize the essential cornerstones of data and analytics and gain a better understanding of both strengths and weaknesses
Grasp the benefits of data management combined with analytics


The course is for experts and managers who want to learn the basics of data and analytics and how they can benefit from these areas in business. No previous experience in the topic is required.

The course is suitable for those who need to take a closer look at the essentials of data and analytics and who might take on a role close to data and/or analytics professionals. It also provides a good base for participation in other programs offered by Aalto EE. 

Contents and Schedule

The online course covers the essentials of data and analytics. It provides the participant with fundamental know-how in the field, including data strategy, field definitions of data and analytics, and case scenarios. The participant will get an overview of data and its importance and gain an understanding of the essentials of analytics and how to use data and analytics in decision making.

The online course also includes a Course Workbook, where reflections from the course are gathered in one handy document. You can apply the findings to reflect on your learning journey and use the workbook to start working on a data and analytics project idea.

The course is structured into 11 online modules consisting of interactive video lectures, reflection tasks, and reading material; each covers data and analytics from a different perspective. The videos are accompanied by interactive questions to check your knowledge along the way, further reading material, and reflection prompts.

Each module contains

  • Introduction
  • Video lecture
  • A small reflection task
  • Knowledge check questions
  • Review of the key takeaways from the module

The course videos are subtitled in English.  

Recommended study schedule for the course is 2–3 hours per week during 3–4 weeks.

Learning Path 1: Data Strategy

The first learning path, Data Strategy, will delve into the concept of data. Data is everywhere, and we humans have been gathering data for many years. Data needs to be considered a valuable asset in the business environment as data has become a new factor of productivity. The six modules will introduce

Data strategy
Data as an economic good
Big data
Data sharing
Data governance and data quality management
Data and analytics culture

Instructor: Kari Hiekkanen, Research Fellow, Aalto University, School of Science

Learning Path 2: Analytics

The second learning path, Analytics, will provide you with information on using data through analytics further and how to implement analytics projects based on data. To use analytics properly for the most benefit, it is necessary to go through the terminology and key concepts used. The five modules in this study path will introduce you to

Field definitions of analytics and machine learning
The three types of learning
Typical case scenarios in analytics
Models, accuracy, and generalization
Case examples

Instructors: Jaakko Hollmén, Senior University Lecturer, Aalto University, School of Science

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