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: LangChain, LLM Application, Retrieval-Augmented Generation, OpenAI API, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)
Intermediate · Course · 1 - 4 Weeks

The State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Pipelines, Data Transformation, Data Analysis, Microsoft Azure, Analytics, Data Warehousing, Data Integration, Extract, Transform, Load, Data Cleansing, Data Modeling, Dashboard, Data Governance
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Preprocessing, Data Processing, Extract, Transform, Load, Predictive Modeling, Regression Analysis
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Model Evaluation, Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Mitigation, Applied Machine Learning, Text Mining, Environmental Monitoring, Convolutional Neural Networks, Unstructured Data, Information Privacy, Computer Vision, Supervised Learning, Natural Language Processing
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Ethics, Dashboard, Power BI, Business Intelligence, Interactive Data Visualization, Data Presentation, Data Visualization, Data Storytelling, Data Visualization Software, Data-Driven Decision-Making, Business Reporting, Business Analytics, Data Analysis Expressions (DAX), Data Security, Data Management, Key Performance Indicators (KPIs), Data Analysis, Performance Analysis, Performance Tuning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

University of Toronto
Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis
Beginner · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Regression Analysis, R (Software), Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Model Evaluation, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills
Beginner · Course · 1 - 4 Weeks