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: Apache Airflow, MLOps (Machine Learning Operations), Multi-Tenant Cloud Environments, Data Pipelines, Workflow Management, Business Workflow Analysis, Cloud Deployment, Continuous Deployment, CI/CD, Devops Tools, DevOps, Configuration Management, Python Programming, Scalability, Performance Tuning, System Monitoring
Intermediate Ā· Course Ā· 3 - 6 Months

Universitat PolitĆØcnica de ValĆØncia
Skills you'll gain: Pandas (Python Package), Matplotlib, Seaborn, Data Visualization, Data Visualization Software, Time Series Analysis and Forecasting, Statistical Visualization, Box Plots, Statistical Analysis, Exploratory Data Analysis, Data Analysis, Data Manipulation, Scatter Plots, Histogram, Data Structures, Python Programming
Intermediate Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling
Mixed Ā· Course Ā· 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Generative AI, Generative Model Architectures, Object Oriented Programming (OOP), Large Language Modeling, Prompt Engineering, Artificial Neural Networks, Computer Programming, Debugging, Python Programming, Semantic Web, Critical Thinking
Intermediate Ā· Course Ā· 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Cloud Computing, Information Technology, Cybersecurity, Machine Learning Algorithms, Critical Thinking, Simulations
Beginner Ā· Course Ā· 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Health Information Management, Machine Learning, Applied Machine Learning, Health Care, Model Deployment, Generative Adversarial Networks (GANs), Artificial Neural Networks, Healthcare Project Management, Supervised Learning, Model Evaluation, Machine Learning Methods, Graph Theory, Big Data
Advanced Ā· Specialization Ā· 1 - 3 Months

University of Houston
Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Spreadsheet Software, Game Theory, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data-Driven Decision-Making, Analytics, Data Analysis Software, Business Mathematics, Forecasting, Probability
Beginner Ā· Course Ā· 1 - 3 Months
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation
Beginner Ā· Course Ā· 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Social Network Analysis, Social Sciences, Network Analysis, Social Studies, Data Science, Machine Learning, Computational Thinking, Artificial Intelligence, Data Analysis, Simulations, Big Data, Digital Transformation, Predictive Modeling
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
Advanced Ā· Course Ā· 1 - 3 Months

University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning
Intermediate Ā· Specialization Ā· 3 - 6 Months