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.

Vanderbilt University
Skills you'll gain: Generative AI, Expense Reports, Image Analysis, Expense Management, Organizational Skills, Computer Vision, Data Storytelling, Project Controls, Social Media Content, Artificial Intelligence, Photography, Prompt Engineering, Cooking
Beginner · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Natural Language Processing, Text Mining, Clinical Informatics, Clinical Documentation, Clinical Data Management, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Looker (Software), Ad Hoc Analysis, Dashboard, Data Analysis, Exploratory Data Analysis, Database Application
Beginner · Project · Less Than 2 Hours

National Taiwan University
Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Rust (Programming Language), Test Case, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Development Environment, System Programming, Software Documentation
Beginner · Course · 1 - 4 Weeks

Universidade de São Paulo
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Statistical Methods, Data-Driven Decision-Making, Quantitative Research, Statistical Analysis, Decision Making, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning
Intermediate · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Prompt Engineering, Sales Strategy, Sales Pipelines, AI Personalization, Sales Operations, Responsible AI, Lead Generation, Sales Development, Generative AI Agents, Competitive Analysis, Sales Management, Marketing Automation, Customer Relationship Management (CRM) Software, Account Management, Business Process Automation, Business Intelligence, Workflow Management, Market Analysis, Data-Driven Decision-Making, Forecasting
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Data Preprocessing, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
Intermediate · Specialization · 3 - 6 Months