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.

Tableau Learning Partner
Skills you'll gain: Tableau Software, Interactive Data Visualization, Data Visualization Software, Dashboard, Business Analytics, Business Intelligence, Data Preprocessing, Data Integration, Data Cleansing, Data Manipulation, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Functional Design, Scripting, Scripting Languages, Python Programming, Data Science, Programming Principles, Computer Programming, Software Engineering
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Data Presentation, Data Ethics, Data Storytelling, Data Visualization, Data Cleansing, Stakeholder Communications, Analytical Skills, Data-Driven Decision-Making, Stakeholder Management, Interactive Data Visualization, Data Visualization Software, Data Validation, Ggplot2, Interviewing Skills, Case Studies, Data Access, Spreadsheet Software, Data Analysis, Data Manipulation
Beginner · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Databricks, Model Deployment, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, LLM Application, Data Pipelines, Hugging Face, Large Language Modeling, Apache Spark, Responsible AI, Data Analysis, Data Science, Machine Learning
Beginner · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, Predictive Analytics, Predictive Modeling
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Image Analysis, AWS SageMaker, Responsible AI, Natural Language Processing, Generative AI, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, OpenAI, Amazon Bedrock, Robotic Process Automation, Cloud Deployment, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods
Beginner · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Data Visualization, Pandas (Python Package), Anomaly Detection, Time Series Analysis and Forecasting, Data Visualization Software, Data Collection, Data Manipulation, Application Programming Interface (API)
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Preprocessing, Data Processing, Extract, Transform, Load, Predictive Modeling, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
Mixed · Course · 1 - 3 Months