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.

University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, R (Software), Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution
Intermediate · Course · 1 - 3 Months

Universidade de São Paulo
Skills you'll gain: Network Analysis, Social Network Analysis, Data Visualization, Graph Theory, Exploratory Data Analysis, Environmental Science, Data Analysis, R Programming, Data Science, Probability Distribution
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Software Design, Computational Logic, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: AI Product Strategy, Generative AI, Strategic Thinking, Business Strategy, Business Planning, Customer experience strategy (CX), Customer Insights, Strategic Planning, Value Propositions, Productivity Software, Case Studies
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing
Intermediate · Guided Project · Less Than 2 Hours

University of California, Davis
Skills you'll gain: Prompt Engineering, AI Workflows, Agentic systems, Generative AI, AI Orchestration, Artificial Intelligence, Responsible AI, Innovation, Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub
Advanced · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Applied Machine Learning, Generative Adversarial Networks (GANs), Healthcare Project Management, Machine Learning Methods, Image Analysis, Graph Theory, Artificial Neural Networks, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Predictive Modeling, Unsupervised Learning, Python Programming
Advanced · Course · 1 - 4 Weeks