Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: LangChain, Agentic Workflows, CI/CD, LangGraph, AI Orchestration, AI Workflows, Model Deployment, Continuous Integration, DevOps, Continuous Deployment, Generative AI Agents, Application Deployment, AI Enablement, Cloud Deployment, Test Automation, AI Product Strategy, Program Development, Microsoft Copilot, Maintainability, Agentic systems
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning
Advanced · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Unsupervised Learning, Probability & Statistics, Logistic Regression, Classification Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms
Beginner · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
Advanced · 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

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation
Intermediate · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Probability Distribution
Beginner · Course · 1 - 3 Months