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: AI Enablement, Human Capital, People Analytics, Workforce Development, Business Process Automation, Digital Transformation, Employee Engagement, Recruitment, Constructive Feedback
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Embeddings, Feature Engineering, Data Preprocessing, Algorithms
Advanced · Course · 1 - 3 Months
DeepLearning.AI
Skills you'll gain: Model Evaluation, Applied Machine Learning, Image Analysis, Environmental Monitoring, Convolutional Neural Networks, Artificial Intelligence, Climate Change Mitigation, Artificial Neural Networks, Machine Learning Methods, Deep Learning, Data Processing, Forecasting, Computer Vision, Predictive Modeling, Environmental Science, Supervised Learning
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Algebra, Mathematical Modeling
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Agentic systems, Collaborative Software, System Design and Implementation, Interoperability, Coordination, Communication Systems, Network Protocols, Workflow Management, Case Studies, Scalability
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Descriptive Statistics, Regression Analysis, Forecasting, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

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

Coursera
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months