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 Pennsylvania
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Data Visualization, Tableau Software, Presentations, Interactive Data Visualization, Verbal Communication Skills, Data Analysis, Pivot Tables And Charts, Scatter Plots, Stakeholder Communications, Spatial Analysis, Trend Analysis
Beginner · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Lakes, File Management, Microsoft Azure, Record Keeping, Information Management, Data Management, Data Storage Technologies
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Data Cleansing, Data Validation, Spreadsheet Software, Data Quality, Data Manipulation, Data Analysis, Data Analysis Software
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Data Storytelling, Data Visualization Software, Dashboard, Data Analysis, Advanced Analytics, Interactive Data Visualization, Data Manipulation, Collaborative Software, Data Transformation, Data Sharing
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Calculus, Applied Mathematics, Trigonometry, Mathematical Modeling, Algebra, Derivatives, Geometry
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Logistic Regression, Model Evaluation, Statistical Inference, Predictive Analytics, R Programming, Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Import/Export, Data Visualization Software, Data Visualization, Interactive Data Visualization, Histogram, Data Transformation, Data Processing, Apache Kafka, JSON, MySQL, SQL
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization Software, Visualization (Computer Graphics), C++ (Programming Language), Application Development, Graphing, Computer Graphics, Verification And Validation, Data Validation, Data Structures, Software Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Management, Cloud Computing, Data Lakes, Metadata Management, Google Cloud Platform, Big Data, Personally Identifiable Information
Beginner · Project · Less Than 2 Hours