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.

Logical Operations
Skills you'll gain: Data Analysis Expressions (DAX), Microsoft Excel, Ad Hoc Reporting, Data Import/Export, Spreadsheet Software, Business Reporting, Microsoft Access, Report Writing, Management Reporting, Data Presentation, Data Analysis Software, Business Intelligence Software, Data Visualization, Data Analysis, Business Intelligence, SAP Applications, Data Integration, Microsoft Office
Beginner · Specialization · 1 - 3 Months
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Model Evaluation, Sample Size Determination
Beginner · Specialization · 3 - 6 Months

Tableau Learning Partner
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Data Presentation, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Literacy, Data Visualization, Data Preprocessing, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Extract, Transform, Load, Data Analysis, Spatial Data Analysis, Interactive Data Visualization, Data Management
Beginner · Professional Certificate · 3 - 6 Months

Logical Operations
Skills you'll gain: Management Reporting, Business Reporting, Run Chart, Data Presentation, Microsoft Access, Data Analysis, Business Intelligence Software, Business Intelligence, Data Analysis Software, Microsoft Office
Mixed · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Data Processing, Big Data, Systems Thinking, Social Studies, Trend Analysis, Data Science, AI Enablement, Research Methodologies, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Deepseek, LangChain, Generative AI, LLM Application, Tool Calling, AI Workflows, AI Orchestration, Prompt Engineering, Automation, Data Integration, Cross Platform Development, Systems Integration
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Integrated Development Environments, Debugging, Mobile Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Application Design, Scalability, Software Architecture, Data Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
Intermediate · Specialization · 3 - 6 Months