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.

Beginner · Specialization · 1 - 3 Months

University of California, Davis
Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Visual Design, Statistical Visualization, Graphic and Visual Design, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, Statistical Analysis, Anomaly Detection, Human Factors, Aesthetics
★ 4.4 (2.1K) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Supervised Learning, Model Optimization, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Decision Tree Learning, Predictive Modeling, Machine Learning, Fine-tuning, Machine Learning Algorithms, Model Evaluation, Logistic Regression, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Classification Algorithms
Intermediate · Course · 1 - 3 Months

The State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, R (Software), Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Programming, Data Visualization, Statistical Visualization, Statistical Software, Mathematical Modeling, Statistical Methods, Statistical Modeling, Predictive Analytics, Predictive Modeling, Correlation Analysis, Descriptive Statistics, Statistical Inference, Data Transformation
★ 4.6 (1.7K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: AI Personalization, Feature Engineering, Personalized Service, Customer Insights, Customer Analysis, Marketing Analytics, Data Transformation, Predictive Analytics, Customer Engagement, Predictive Modeling, Data-Driven Marketing, Machine Learning Methods, Customer experience improvement, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Text Mining, Marketing Strategies, Business Intelligence, Data Analysis
Intermediate · Course · 1 - 4 Weeks

LearnKartS
Skills you'll gain: Retrieval-Augmented Generation, AI Security, AI Workflows, Model Context Protocol, Application Deployment, AI Orchestration, System Monitoring, Security Controls, Prompt Engineering, Containerization, Automation, Cloud Deployment, Data Migration, Model Evaluation, Docker (Software), Verification And Validation, Configuration Management, Debugging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unit Testing, Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Flask (Web Framework), Software Design, Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Data Import/Export, Python Programming, NumPy
★ 4.6 (52K) · Beginner · Specialization · 3 - 6 Months

Chegg Skills
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Data-Driven Decision-Making, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Analysis, Statistical Programming, Python Programming
★ 4.6 (937) · Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Social Impact, Responsible AI, Machine Learning Algorithms, Case Studies, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Artificial Intelligence, Reinforcement Learning, Decision Intelligence, Data Ethics, AI literacy, Applied Machine Learning, Machine Learning, Model Deployment
Beginner · Course · 1 - 4 Weeks
University of London
Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Decision Intelligence, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Statistical Inference, Mathematical Modeling
★ 4.6 (1.5K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Model Deployment, Generative Model Architectures, Generative AI Agents, Prompt Engineering, CrewAI, OpenAI, Responsible AI, LangGraph, Enterprise Architecture, Agentic Workflows, AI Security, Model Training, Feature Engineering, Model Evaluation, Agentic systems, Containerization
Intermediate · Course · 1 - 3 Months