Building a Data-Enabled and AI-Ready Organization
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. The course videos and reading material are accompanied by interactive questions to check your knowledge along the way and a Course Workbook to help you on your learning journey.
By completing the course, you will get an Aalto EE Essentials of Data and Analytics certificate worth 0.5 ECTS.
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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 a fundamental level of skill and assists the participants in making informed decisions.
The course is aimed at 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.
The online course covers the essentials of data and analytics. You will be provided with fundamental know-how in the field, including data strategy, field definitions of data and analytics, and case scenarios. You will get an overview of data and its importance and understand 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 covering 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
The course videos are subtitled in English.
The estimated study time of the course is 12 hours. The course allows flexible study patterns; you can decide on your schedule and the speed of your progress.
The recommended study schedule is 2-3 hours per week for 3-4 weeks.
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 productivity factor. The six modules will introduce:
Data as an economic good
Data governance and data quality management
Data and analytics culture
Instructor: Kari Hiekkanen, Research Fellow, Aalto University, School of Science
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
Instructors: Jaakko Hollmén, Senior University Lecturer, Aalto University, School of Science
13.10.2022, Reetta Räty
06.10.2022, Annika Rautakoura
27.09.2022, Heidi Hammarsten
06.09.2022, Riitta Lumme-Tuomala
22.08.2022, Anu Haapala
11.08.2022, Anu Haapala
28.07.2022, Annika Rautakoura