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.

Stanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Looker (Software), Interactive Data Visualization, Dashboard, Data Visualization Software, Data Presentation, Exploratory Data Analysis, Data Access, Data Analysis, Analysis, Google Cloud Platform, Data Management
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Data Pipelines, Google Cloud Platform, Cloud-Based Integration, Data Transformation, Data Integration, Big Data, Data Management
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Gemini, Customer Insights, Customer Analysis, Customer Data Management, Big Data, Google Cloud Platform, Marketing Analytics, Generative AI, Data Analysis, Marketing Strategies, Machine Learning Methods, Predictive Analytics, Forecasting, Query Languages
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Clinical Trials, Clinical Research, Drug Development, Patient Evaluation, Pharmaceutical Terminology, Clinical Assessment, Quantitative Research, Data Literacy, Patient-centered Care, Statistical Methods, Data Science, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Agentic Workflows, LangGraph, AI Orchestration, Data Visualization, Prompt Engineering, Generative AI Agents, Model Evaluation, LLM Application, Tool Calling, Retrieval-Augmented Generation, Agentic systems, Data Validation, Generative AI, Large Language Modeling
Intermediate · Project · Less Than 2 Hours

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: Data Persistence, JSON, User Interface (UI), User Interface and User Experience (UI/UX) Design, Database Development, Databases, Interactive Data Visualization, Debugging, Database Management, Application Development, Mobile Development, Real Time Data, Application Programming Interface (API), Data Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Beginner · Course · 1 - 4 Weeks

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