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 Colorado Boulder
Skills you'll gain: Data Presentation, Data Cleansing, Predictive Analytics, Business Analytics, Financial Analysis, Advanced Analytics, Data Preprocessing, Data Analysis, Technical Communication, Investment Management, Data Manipulation, Model Evaluation, Statistical Modeling, Regression Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks
Rice University
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Excel Formulas, Data Visualization Software, Graphing, Data Analysis, Scatter Plots, Histogram, Data Manipulation, Data Import/Export
Mixed · Course · 1 - 4 Weeks

SkillUp
Skills you'll gain: Clinical Informatics, Clinical Research, Artificial Intelligence, MLOps (Machine Learning Operations), Health Informatics, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills
Beginner · Course · 1 - 4 Weeks

Eindhoven University of Technology
Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Data Visualization, Google Sheets, Interactive Data Visualization, Machine Learning, Data Manipulation, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, MLOps (Machine Learning Operations), Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, OpenAI API, Application Deployment, ChatGPT, AI Security, Serverless Computing, Cloud Applications, Model Deployment, LLM Application, Generative AI, Web Applications, Artificial Intelligence, Web Development Tools, Real Time Data
Intermediate · Course · 1 - 3 Months

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: 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