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: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Data Preprocessing, Technical Documentation, Datamaps, Unit Testing, Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), Debugging
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Statistical Visualization, Data Visualization, Model Evaluation, Statistical Hypothesis Testing, MLOps (Machine Learning Operations), Statistical Analysis, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Matplotlib, Statistical Inference, Probability & Statistics, Experimentation, Performance Metric
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Regression Analysis, Data Preprocessing, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Regression Analysis, R (Software), Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Model Evaluation, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics
Beginner · Course · 1 - 4 Weeks

Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration
Advanced · Course · 3 - 6 Months