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.

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Deep Learning, Transfer Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, AI Workflows, AI Enablement, Agentic systems, Automation, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Data Storytelling, Power BI, Data Presentation, Dashboard, Data Visualization Software, Data Visualization, Report Writing, Multimedia, Data Analysis, Creative Design, Management Reporting, Data Mapping, Data Security, Key Performance Indicators (KPIs), Target Audience
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks
Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

Board Infinity
Skills you'll gain: Google Analytics, Marketing Analytics, Web Analytics, Marketing Effectiveness, Campaign Management, Digital Marketing, Target Audience, Customer Insights, Analytics, Performance Analysis, A/B Testing, Dashboard, Performance Metric, Content Strategy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Statistical Machine Learning, Feature Engineering
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Model Evaluation, Machine Learning, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
Intermediate · Course · 1 - 3 Months