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: Customer Success Management, Generative AI Agents, Customer Service, AI Enablement, Customer Support, Customer experience improvement, AI Personalization, Customer Engagement, Personalized Service, Data Ethics, Automation, Business Ethics, Information Privacy, Systems Integration
Intermediate · Course · 1 - 4 Weeks

Fundação Instituto de Administração
Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, FinTech, Ggplot2, Data Visualization Software, Plot (Graphics), Deep Learning, Data Modeling, R Programming, Market Data, Predictive Analytics, Analytics, Data Science, Data Analysis, Business Analytics, Data Processing, Data Manipulation, Machine Learning, Financial Market
Beginner · Specialization · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Data Modeling, Data Analysis, Logistic Regression, Descriptive Analytics, Forecasting, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Visualization, NumPy, Python Programming
Beginner · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
Beginner · Specialization · 3 - 6 Months

University of California, Irvine
Skills you'll gain: Model Evaluation, Unsupervised Learning, Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Analytics, Anomaly Detection, Fraud detection, Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Classification Algorithms, Collaborative Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science
Intermediate · Guided Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Statistical Machine Learning, Embeddings, MLOps (Machine Learning Operations), Data Strategy, Machine Learning Algorithms, Supervised Learning, Model Evaluation, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning
Intermediate · Course · 1 - 4 Weeks