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.

Skills you'll gain: Relational Databases, Power BI, Microsoft Azure, NoSQL, Cloud Deployment, Databases, Database Architecture and Administration, Data Integration, Data Visualization Software, SQL, Database Management Systems, Data Storage, Data Modeling, Data Warehousing, Infrastructure As A Service (IaaS), Platform As A Service (PaaS), Cloud Hosting, Cloud Security, Firewall
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: User Research, UI/UX Research, Prototyping, Design Research, User Experience, User Experience Design, User Interface and User Experience (UI/UX) Design, Persona (User Experience), Artificial Intelligence, Experience Design, User Centered Design, Prompt Patterns, User Interface (UI), Design, Design Thinking, User Interface (UI) Design, Wireframing, Presentations, Responsible AI, Professional Development
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Relational Databases, Databases, Data Visualization Software, Web Scraping, Data Science, Scatter Plots, Data Manipulation, SQL, Data Processing, JSON, Application Programming Interface (API), Data Import/Export, Python Programming, Extensible Markup Language (XML), Hypertext Markup Language (HTML)
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Amazon Redshift, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing, Data Preprocessing
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Cloud Deployment, Devops Tools, Microservices, Application Deployment, Virtual Machines, Cloud Development, Database Management, Cloud-Based Integration, Scalability
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Analytics, Data Visualization, Business Analytics, Data Analysis, Microsoft PowerPoint, Data Presentation, Presentations, Excel Formulas, Data-Driven Decision-Making, Dashboard, Business Intelligence, Microsoft Excel, Customer Analysis, Data Visualization Software, Big Data, Data Storytelling, Target Audience, Business Consulting, Spreadsheet Software, Data Cleansing
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Storytelling, Data Presentation, Generative AI, Data Ethics, Prompt Engineering, Data Visualization, Interactive Data Visualization, Plotly, Responsible AI, Data Visualization Software, Data-Driven Decision-Making, Matplotlib, Seaborn, Artificial Intelligence, Automation, Data Integrity
Intermediate · Course · 1 - 4 Weeks
University of Toronto
Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Data Mapping, Spatial Data Analysis, Data Visualization, Metadata Management, Quantitative Research, Spatial Analysis, Typography, Data Manipulation, Data Modeling, Design Elements And Principles, Data Import/Export
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Data Integration, Mathematical Modeling, Data Analysis, Vector Databases, Probability, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Spatial Data Analysis, Derivatives, Physics
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis
Beginner · Specialization · 1 - 3 Months