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.

Coursera
Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science
Beginner · Guided Project · Less Than 2 Hours

LearnQuest
Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Analysis, Machine Learning, Data Science, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Deployment, Model Evaluation, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Decision Making, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms, Regulatory Requirements
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Predictive Analytics, Data Presentation, Responsible AI, Predictive Modeling, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Data Visualization, Decision Making, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Business Marketing, Natural Language Processing, Text Mining, Python Programming, Reinforcement Learning, Data Security, Network Analysis, Security Awareness
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, R Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Statistics, Applied Mathematics, Logistic Regression
Build toward a degree
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Presentation, Data-Driven Decision-Making, Strategic Decision-Making, Product Management, Customer Insights, Data Analysis, Forecasting, A/B Testing, Business Analytics, Analytics, Prioritization, Statistical Analysis, Business Metrics, User Research, Customer Retention, Machine Learning Methods, Root Cause Analysis, Statistical Methods, Stakeholder Communications
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Stakeholder Engagement, Business Intelligence, Stakeholder Communications, Data-Driven Decision-Making, Dashboard, Business Analytics, Real Time Data, Data Integration, Data Modeling, Data Storytelling, Project Design, Data Analysis, Key Performance Indicators (KPIs), Business Process Improvement, Business Process, Project Implementation, Data Pipelines
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Presentation, Spreadsheet Software, Data Visualization, Graphing, Statistics, Data Science, Data Manipulation
Beginner · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting
Intermediate · Specialization · 1 - 3 Months