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: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Amazon Bedrock, Model Evaluation, Data Preprocessing
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Rmarkdown, Ggplot2, Data Visualization, Tidyverse (R Package), R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Transformation, Software Installation, Programming Principles
Beginner · Course · 1 - 4 Weeks

Coursera
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Model Evaluation, Business Analytics, Dashboard, Business Analysis, Data Ethics, Analysis, Analytical Skills, Performance Analysis, Predictive Analytics, Business Metrics, Business Communication, Performance Measurement, Regional Sales, Data-Driven Decision-Making, Technical Communication, Key Performance Indicators (KPIs), Continuous Quality Improvement (CQI), Process Improvement and Optimization, Performance Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Model Deployment, Large Language Modeling, OpenAI API, Application Programming Interface (API), Application Deployment, Retrieval-Augmented Generation, LangGraph, OpenAI, Containerization, CI/CD, Continuous Deployment, Postman API Platform, Artificial Intelligence, Continuous Integration, Amazon Web Services, Authentications, Performance Analysis
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, AI Workflows, Data Management, Data Governance, Tensorflow, Data Preprocessing, Data Pipelines, Machine Learning, Predictive Modeling, Model Evaluation, Cloud Computing, Data Transformation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Treatment Planning, Data Analysis, Model Evaluation, Applied Machine Learning, Patient Treatment, AI Personalization, Machine Learning, Text Mining, Health Informatics, Medical Terminology, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
Intermediate · Course · 1 - 4 Weeks