Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Import/Export, Data Analysis, Data Visualization, Programming Principles, Python Programming
Beginner · Guided Project · Less Than 2 Hours

MathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Data Preprocessing, Image Analysis, Machine Learning Methods, Data Import/Export, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Software Design, Computational Logic, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, R Programming, Knitr, Continuous Integration, Development Testing, Technical Documentation
Intermediate · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Generative AI Agents, AI Workflows, AI Orchestration, Agentic systems, LLM Application, Tool Calling, OpenAI, Prompt Engineering, Application Development, Software Documentation, File Management
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Regression Analysis
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: OpenAI API, ChatGPT, Prompt Engineering, LLM Application, Large Language Modeling
Beginner · Project · Less Than 2 Hours