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: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, Large Language Modeling, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, Technical Management, OpenAI API, Data Ethics, AI Enablement, Trend Analysis, Real Time Data, Business Strategy, Python Programming
Intermediate · Specialization · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Dashboard, Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Tableau Software, Geospatial Information and Technology, Data Analysis, Analytical Skills, Application Deployment, Network Analysis, Financial Data, Financial Analysis, Time Series Analysis and Forecasting
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Tableau Software, Infographics, Dashboard, Data Analysis, Data-Driven Decision-Making, Data Ethics, Trend Analysis, Business Analytics, Peer Review
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: SQL, PostgreSQL, Database Management, Data Manipulation, Database Systems
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Transformation, Business Intelligence, Data Modeling, Interactive Data Visualization, Data Manipulation, Dashboard, Data Visualization Software, Microsoft Excel, SQL Server Reporting Services, Data Warehousing, Data Sharing, Data Integration
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Pipelines, Jupyter, Deep Learning, Pandas (Python Package), Predictive Modeling, NumPy, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Literacy, Visualization (Computer Graphics), Javascript, Data Analysis, Microsoft Visual Studio
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months