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.

University of California, Davis
Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Manipulation, Data Visualization, Data Analysis, Predictive Analytics, Simulations
Beginner · Course · 1 - 3 Months
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Research Design, Technical Communication
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, OpenAI API, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Generative Model Architectures, CI/CD, Embeddings, Text Mining, Containerization, Restful API, Open Source Technology, Data Preprocessing, Docker (Software)
Intermediate · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, AI Personalization, Network Model, Network Architecture, Linear Algebra
Intermediate · Specialization · 3 - 6 Months
Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering
Advanced · Course · 1 - 4 Weeks

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 Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Data Modeling, Data Infrastructure, Real Time Data, Data Management, Database Systems, Data Architecture, Big Data, Data Processing, Database Management Systems, Unstructured Data, Scalability
Mixed · Course · 1 - 3 Months

Skills you'll gain: Report Writing, SAS (Software), Microsoft Excel, Statistical Reporting, Management Reporting, Data Presentation, HTML and CSS, Data Import/Export
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Artificial Intelligence, Image Analysis, Natural Language Processing, Generative AI, Model Deployment, OpenAI, Amazon Bedrock, AI Workflows, AI Security, Text Mining, Robotics, Prompt Engineering, Deep Learning, Reinforcement Learning, Scalability
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Deep Learning, Transfer Learning
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months