Big Data Analytics Courses
Big Data Analytics courses can help you learn data mining, statistical analysis, data visualization, and predictive modeling. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Apache Hadoop, Spark, and Tableau, that support processing large datasets and visualizing trends, allowing you to apply your analytical skills in various business contexts.
Popular Big Data Analytics Courses and Certifications
Status: PreviewSkills you'll gain: Assembly Drawing, Finite Element Methods, Mechanical Design, Engineering Drawings, Engineering Analysis, Technical Drawing, 3D Modeling, Computer-Aided Design, Simulation and Simulation Software, Data Integration
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Open Web Application Security Project (OWASP), Penetration Testing, Metasploit, Security Testing, Security Strategy, Vulnerability Assessments, Cyber Security Assessment, Security Management, Vulnerability Scanning, Cyber Threat Intelligence, Exploitation techniques, Threat Detection
Skills you'll gain: Cloud Management, Cloud Computing, Network Routing, Geographic Information Systems, Virtual Machines, Google Cloud Platform, Virtual Networking, Network Architecture
Status: Free TrialLearnKartS
Skills you'll gain: Apache Kafka
Status: Free TrialUniversity of Michigan
Skills you'll gain: Generative AI, AI Product Strategy, AI Enablement, Generative AI Agents, Data Integration, Data Strategy, Business Analysis, Data Quality, Technology Roadmaps, Business Solutions, Business Transformation, Business Strategy, Stakeholder Communications, Decision Making, Stakeholder Engagement
Status: NewStatus: Free TrialFred Hutchinson Cancer Center
Skills you'll gain: Version Control, Secure Coding, Key Management
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning, Scalability, Design Strategies
Coursera
Skills you'll gain: SQL, PostgreSQL, Query Languages
Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Data Lakes, Microsoft SQL Servers, Transact-SQL, Data Integration, Cloud Storage, SQL, File Management
Status: Free TrialUniversity of California, Irvine
Skills you'll gain: Objective-C (Programming Language), iOS Development, Apple iOS, Apple Xcode, Prototyping, Mobile Development, C (Programming Language), Object Oriented Programming (OOP), Computer Programming, Data Structures
Status: Free TrialLearnQuest
Skills you'll gain: Java Platform Enterprise Edition (J2EE), Application Deployment, Web Applications, Application Servers, Java, Web Servers, Java Programming, Object-Relational Mapping, Web Development, Context Management, Application Frameworks, Scripting, Middleware, Server Side, Data Storage, Session Initiation Protocols, Data Sharing, Data Persistence, Event-Driven Programming, Hypertext Markup Language (HTML)
Status: NewStatus: PreviewUniversity of California San Diego
Skills you'll gain: Linux Commands, Linux, Unix Commands, Shell Script, Data Processing, Text Mining, Command-Line Interface, Data Manipulation, Unix, Data Transformation, Automation, File Management
Searches related to big data analytics
In summary, here are 10 of our most popular big data analytics courses
- Siemens NX Mastery: Advanced Design & Applications: Siemens
- Proactive Computer Security: University of Colorado System
- Cloud DNS: Traffic Steering using Geolocation Policy: Google Cloud
- Apache Kafka: LearnKartS
- GenAI in Business: Planning Framework for Implementation: University of Michigan
- Making Science Reproducible - A Capstone Course: Fred Hutchinson Cancer Center
- Program Structure and Algorithms Part 1: Northeastern University
- Working with Subqueries in SQL: Coursera
- Azure Synapse SQL Pool - Implement Polybase: Coursera
- Foundations of Objective-C App Development: University of California, Irvine
