OpenHPI

In-Memory Data Management (内存数据库管理) (openHPI)

Offered by Hasso-Plattner-Institut,

The online course focuses on the management of enterprise data in column-oriented in-memory databases. Latest hardware and software trends led to the development of a new revolutionary technology that enables flexible and lightning-fast analysis of massive amounts of enterprise data.

The basic concepts and design principles of this technology are explained in detail. Beyond that, the implications of the underlying design principles for future enterprise applications and their development are discussed. Unbelievable things are possible and you will understand why this is true using an in-memory column-oriented database instead of a traditional row-oriented disk-based one.
A brief overview of the course content:

The future of enterprise computing
Basic and advanced database storage techniques
In-memory database operators
A new enterprise application development era

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of California, San Diego

Hadoop Platform and Application Framework (Coursera)

Statistics & Data Analysis Data Science

This course is for novice programmers or business people who'd like to understand the core tools used to wrangle and analyze big data. With no prior experience, you'll have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment.

Jun 1st 2026

5-12 Weeks

Big Data Data Analysis Hadoop

Coursera

Johns Hopkins University

The Data Science of Health Informatics (Coursera)

Health & Society Data Science

Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. These data are used for treatment of the patient from whom they derive, but also for other uses. Examples of such secondary use of health data include population health (e.g., who requires more attention), research (e.g., which drug is more effective in practice), quality (e.g., is the institution meeting benchmarks), and translational research (e.g., are new technologies being applied appropriately).

Jun 1st 2026

4 Weeks

Databases Data Analysis Data Science

OpenHPI

Hasso-Plattner-Institut

Quantum Machine Learning (with IBM Quantum Research) (openHPI)

Data Science

Whether we stream our favorite series, develop new drugs or have us being chauffeured by a self-driving car -- machine learning is an essential part of our modern life, and of our future. But the growing amount of data and our increasing demands pose difficulties for today's classical computers. Can quantum computing overcome these challenges? What potentials does the emerging field of quantum machine learning have? In this course, we will not only learn about quantum machine learning and its prospects, but we will also solve concrete tasks with both classical and quantum models.

Jan 11th 2023

2 Weeks

Artificial Intelligence Machine Learning Big Data

OpenHPI

Hasso-Plattner-Institut

Data Engineering und Data Science – Klarheit in den Schlagwort-Dschungel (openHPI)

Engineering Data Science

Die Schlagwörter Künstliche Intelligenz, Data Science, Data Engineering, und Big Data dominieren seit einigen Jahren nicht nur die IT-Schlagzeilen. In unserem Kurs wollen wir diese Wörter mit grundlegendem Inhalt füllen und die typischen Arbeitsschritte eines Data Scientists nachvollziehen. Insbesondere schauen wir hinter die Kulissen und betrachten den oft mühsamen Weg der Daten bis sie endlich genutzt werden können um z.B. mittels maschinellem Lernen Modelle trainieren zu können. Dazu gehören die Datenbeschaffung, die Datenreinigung, und die Datenintegration. Anschließend lernen wir, wie man aus diesen Daten und auch aus Texten neue Erkenntnisse mittels Data Mining und maschinellem Lernen gewinnt. Der Abschluss bildet eine Diskussion über Ethik und Fairness bei der automatisierten Datenanalyse.

Self Paced

Self-Paced

Artificial Intelligence Machine Learning Big Data

Coursera

University of California, San Diego

Teaching Impacts of Technology: Data Collection, Use, and Privacy (Coursera)

Education

In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.

Jun 3rd 2026

4 Weeks

Education Computing Technology

Coursera

University of California, Davis

Big Data, Artificial Intelligence, and Ethics (Coursera)

Statistics & Data Analysis Data Science

This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint.

Jun 1st 2026

4 Weeks

Artificial Intelligence Ethics Big Data

Coursera

University of Michigan

Innovations in Investment Technology: Artificial Intelligence (Coursera)

Economics & Finance Business

Explore the evolution of AI investing and online wealth management. Investing and managing your wealth online has never been easier, but how does AI investing work and what are the challenges? On this course, you’ll explore how technology has changed the way we invest money. You’ll consider the evolution of AI-driven online wealth management platforms, robo-advisors, and learn how they work and why they’re successful.

Jun 1st 2026

4 Weeks

Artificial Intelligence Big Data Asset Management

Coursera

ESSEC Business School

Foundations of marketing analytics (Coursera)

Marketing & Communication Business

Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role, in particular in marketing. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.

Jun 1st 2026

5-12 Weeks

Databases Big Data Data Analysis

Coursera

University of Amsterdam

Media ethics & governance (Coursera)

Social Sciences

This course explores some of the basic theories, models and concepts in the field of media ethics. We will introduce influential ethical theories and perspectives, explore changing societal demands and expectations of media creation and media use, and we will elaborate on existing ethical norms for media professionals. After following this course, you will be able to reflect on ethical dilemmas and develop a well-substantiated argumentation for ethical decision making in a variety of media-related contexts.

Jun 1st 2026

4 Weeks

Ethics Big Data Research

Coursera

Google

IT Security: Defense against the digital dark arts (Coursera)

Security & Networking

This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We’ll give you some background of encryption algorithms and how they’re used to safeguard data. Then, we’ll dive into the three As of information security: authentication, authorization, and accounting. We’ll also cover network security solutions, ranging from firewalls to Wifi encryption options. The course is rounded out by putting all these elements together into a multi-layered, in-depth security architecture, followed by recommendations on how to integrate a culture of security into your organization or team.

Jun 1st 2026

5-12 Weeks

Security Networks Information Technology

Coursera

University of Minnesota

Medical Technology and Evaluation (Coursera)

Management & Leadership Economics & Finance

Innovations in medical technologies are one of the leading areas of economic growth in the world. Whether new technologies take the form of pharmaceutical, medical device, biotechnology, information technology of some combination of these innovations, the opportunities for both private enterprise and social welfare are substantial. However, these innovations are not without cost, and require reimbursement from either a privately or publicly financed health care delivery system to enter the marketplace.

Jun 1st 2026

4 Weeks

Healthcare Biotechnology Information Technology

Coursera

University of Colorado Boulder

The Structured Query Language (SQL) (Coursera)

Data Science

In this course you will learn all about the Structured Query Language ("SQL".) We will review the origins of the language and its conceptual foundations. But primarily, we will focus on learning all the standard SQL commands, their syntax, and how to use these commands to conduct analysis of the data within a relational database. Our scope includes not only the SELECT statement for retrieving data and creating analytical reports, but also includes the DDL ("Data Definition Language") and DML ("Data Manipulation Language") commands necessary to create and maintain database objects.

Jun 2nd 2026

5-12 Weeks

Databases SQL Data Science