Big Data courses can help you learn data analysis, data visualization, statistical modeling, and data mining techniques. You can build skills in interpreting large datasets, designing data-driven strategies, and utilizing machine learning algorithms. Many courses introduce tools like Hadoop, Spark, and Tableau, that support processing vast amounts of information and presenting insights effectively. Additionally, you may explore topics such as data warehousing, predictive analytics, and the ethical implications of data usage.

Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Beginner Ā· Course Ā· 1 - 4 Weeks

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Data Ethics, Responsible AI, Data Collection, Game Theory, Data Preprocessing, Machine Learning, Algorithms, Artificial Intelligence, Model Evaluation, Social Justice, Predictive Modeling
Beginner Ā· Course Ā· 1 - 4 Weeks

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 Ā· Course Ā· 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis
Beginner Ā· Course Ā· 1 - 3 Months

Fractal Analytics
Skills you'll gain: Vector Databases, Data Strategy, Data Management, Data Architecture, Data Security, Data Governance, Generative AI Agents, Metadata Management, Data Ethics, Interoperability, Data Store, Retrieval-Augmented Generation, Embeddings, Taxonomy, Data Storage, Data Processing, Large Language Modeling, Machine Learning, Zero Trust Network Access, Agentic systems
Intermediate Ā· Course Ā· 1 - 3 Months

University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Build toward a degree
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Responsible AI, Model Deployment, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Model Evaluation, Transfer Learning, Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Data Preprocessing, Machine Learning Software, Distributed Computing, Information Privacy, Supervised Learning, Virtual Machines
Intermediate Ā· Professional Certificate Ā· 3 - 6 Months

University of California San Diego
Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Molecular Biology, Data Preprocessing, Machine Learning, Data Analysis Software, Life Sciences, Anthropology
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning
Intermediate Ā· Specialization Ā· 3 - 6 Months

Google Cloud
Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Jupyter, Data Analysis, Data Preprocessing, Machine Learning
Beginner Ā· Project Ā· Less Than 2 Hours