Big-Data-Kurse können Ihnen helfen zu lernen, wie große Datenmengen gespeichert, verarbeitet und analysiert werden. Sie können Fähigkeiten im Umgang mit verteilten Systemen, Datenpipelines, Streaming-Daten und grundlegenden Analyseverfahren aufbauen. Viele Kurse stellen Plattformen, Frameworks und Visualisierungswerkzeuge vor, mit denen Sie Muster in umfangreichen Datensätzen erkennen.

Kompetenzen, die Sie erwerben: Apache Hadoop, Docker (Software), Datenumwandlung, Entwicklungsumgebung, Verteiltes Rechnen, Big Data, PySpark, Skalierbarkeit, Fehlersuche, Kubernetes, Apache Spark, Leistungsoptimierung, Apache Hive, Datenverarbeitung, IBM Cloud
Mittel · Kurs · 1–3 Monate

University of California San Diego
Kompetenzen, die Sie erwerben: Apache Hadoop, Datenmanagement, Klassifizierungsalgorithmen, Daten Präsentation, Big Data, Skalierbarkeit, MongoDB, Explorative Datenanalyse, Modellevaluation, Datenbank-Design, Datenmodellierung, Daten-Pipelines, Daten-Integration, Datenverarbeitung, Datenvorverarbeitung, Angewandtes maschinelles Lernen, Graphentheorie, Data-Mining, Apache Spark, Regressionsanalyse
Anfänger · Spezialisierung · 3–6 Monate

University of California San Diego
Kompetenzen, die Sie erwerben: Apache Hadoop, Datenverarbeitung, Datenanalyse, Verteiltes Rechnen, Skalierbarkeit, Big Data, Unstrukturierte Daten
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Apache Hadoop, Statistische Analyse, Erhebung von Daten, Datenanalyse, Datenvisualisierungssoftware, Datenverarbeitung, Daten bereinigen, Big Data, Microsoft Excel, Apache Spark, Apache Hive, Data-Warehousing, Statistische Visualisierung, Relationale Datenbanken, Datenvisualisierung, Daten-Seen, Analytics, Datenmarkt
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Apache Hadoop, Datenbanken, Apache Cassandra, Generative KI, NoSQL, Verteiltes Rechnen, Big Data, Überwachtes Lernen, Modellevaluation, Daten-Pipelines, MongoDB, Kubernetes, PySpark, Algorithmen für maschinelles Lernen, Apache Spark, Apache Hive, Angewandtes maschinelles Lernen, Maschinelles Lernen, Auszug, IBM Cloud
Anfänger · Spezialisierung · 3–6 Monate

Illinois Tech
Kompetenzen, die Sie erwerben: Database Design, Relational Databases, Database Systems, Database Management, NoSQL, Databases, Database Development, SQL, Big Data, Model Evaluation, Apache Hadoop, Database Management Systems, MySQL, Statistical Analysis, Data Visualization, Database Theory, Data Analysis, Exploratory Data Analysis, Transaction Processing, Data Preprocessing
Auf einen Abschluss hinarbeiten
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Apache Hive, Apache Mahout, NoSQL, Apache Hadoop, Extract, Transform, Load, Big Data, Data Warehousing, Cloud Management, Application Deployment, Databases, SQL, Performance Tuning, Data Processing, File Systems, Real Time Data, Query Languages, Database Management, Data Transformation, Scalability, Distributed Computing
Anfänger · Spezialisierung · 3–6 Monate

Johns Hopkins University
Kompetenzen, die Sie erwerben: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, Databases, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Performance Tuning
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Cloud Services, Cloud Deployment, Apache Hadoop, Apache Hive, Application Programming Interface (API), Jupyter, Data Storage, Data Architecture, Data Quality, Advanced Analytics, Ad Hoc Analysis, Serverless Computing, Applied Machine Learning
Mittel · Spezialisierung · 3–6 Monate

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Service Level, Database Management, Acceptance Testing, Software Engineering, Web Applications, Performance Testing, Scalability, Microservices, Software Architecture, Data Architecture, Distributed Computing, Data Infrastructure, System Monitoring, Functional Requirement, Application Deployment, User Acceptance Testing (UAT), Application Development, Prototyping, Predictive Modeling, Big Data
Auf einen Abschluss hinarbeiten
Fortgeschritten · Spezialisierung · 1–3 Monate

Cloudera
Kompetenzen, die Sie erwerben: Apache Hadoop, Amazon S3, Datenmanagement, Datenbanken, Datenanalyse, Operative Datenbanken, MySQL, NoSQL, Datenbank-Design, Big Data, Datenbank-Systeme, Data-Warehousing, Amazon Webdienste, Relationale Datenbanken, Cloud-Speicher, Datenbank Management, Leistungsoptimierung, Apache Hive, Datenspeicherung, SQL
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Apache Hadoop, Datenanalyse, Technologien zur Datenspeicherung, Verteiltes Rechnen, Big Data, Datenverarbeitung, Data-Warehousing, Daten in Echtzeit, Daten-Seen, Apache Spark, Analytics
Anfänger · Kurs · 1–4 Wochen
Big data refers to the vast volumes of structured and unstructured data generated every second from various sources, including social media, sensors, and transactions. Its importance lies in the insights it can provide, enabling organizations to make informed decisions, enhance customer experiences, and drive innovation. In today's data-driven world, understanding big data is crucial for businesses to remain competitive and responsive to market changes.
A variety of job opportunities exist in the field of big data, ranging from data analysts and data scientists to big data engineers and business intelligence developers. These roles often involve analyzing complex datasets, developing data processing systems, and creating data-driven strategies. As organizations increasingly rely on data to guide their decisions, the demand for skilled professionals in big data continues to grow.
To succeed in big data, you should develop a mix of technical and analytical skills. Key skills include proficiency in programming languages such as Python or R, knowledge of big data technologies like Hadoop and Spark, and familiarity with data visualization tools. Additionally, understanding database management and statistical analysis will enhance your ability to interpret and manipulate large datasets effectively.
There are several excellent online courses available for those interested in big data. Notable options include the Big Data Specialization and the Data Analytics and Big Data Specialization. These programs offer comprehensive training in various aspects of big data, from foundational concepts to advanced analytical techniques.
Yes. You can start learning big data on Coursera for free in two ways:
If you want to keep learning, earn a certificate in big data, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
To learn big data effectively, start by identifying your learning goals and the specific skills you want to acquire. Enroll in structured online courses or specializations that align with your interests. Engage with practical projects to apply what you learn, and consider joining online communities or forums to connect with others in the field. Consistent practice and exploration will help reinforce your knowledge and build confidence.
Typical topics covered in big data courses include data storage and processing frameworks, data mining techniques, machine learning algorithms, and data visualization strategies. Courses often explore tools like Hadoop, Spark, and SQL, as well as concepts related to data ethics and privacy. This comprehensive curriculum equips learners with the necessary knowledge to navigate the complexities of big data.
For training and upskilling employees in big data, courses like the Big Data Processing Using Hadoop Specialization and the Modern Big Data Analysis with SQL Specialization are highly recommended. These programs focus on practical skills and real-world applications, making them ideal for workforce development.