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: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Process Capability, Statistical Analysis, Systems Analysis, Probability & Statistics, Data Analysis, Quantitative Research, Run Chart, Box Plots, R (Software), Systems Of Measurement, Statistical Methods, Regression Analysis, R Programming, Scatter Plots, Statistical Hypothesis Testing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning
Intermediate · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Statistical Modeling, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Machine Learning Methods, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Data Analysis, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Data Processing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Anomaly Detection, Software Quality Assurance, Data Science, Machine Learning, Cloud Computing
Beginner · Guided Project · Less Than 2 Hours

Maven Analytics
Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Forecasting, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Business Intelligence, Random Forest Algorithm
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Cleansing, Data Processing, Data Wrangling, Data Integration, Data Capture, Data Literacy, Data Quality, Data Transformation, Data Management, Data Collection, Web Scraping, Data Import/Export, Data Access, Metadata Management, Unstructured Data, SQL
Mixed · Course · 1 - 4 Weeks