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.

Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Run Chart, Qualitative Research, Continuous Quality Improvement (CQI), Health Informatics, Quantitative Research, Data Collection, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Systems Of Measurement, Time Series Analysis and Forecasting
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Storytelling, Infographics, Layout Design, Branding
Intermediate · Course · 3 - 6 Months

Corporate Finance Institute
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Dashboard, Data Transformation, Data Analysis, Excel Formulas, Data Visualization Software, Data Presentation, Data Manipulation, Business Intelligence, Data Cleansing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, File I/O, Data Transformation, Jupyter, Performance Tuning, JSON, SQL
Advanced · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Build toward a degree
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Visualization Software, Dashboard, Data Analysis, Advanced Analytics, Interactive Data Visualization, Analytics, Data Manipulation, Collaborative Software, Data Transformation, Data Sharing
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Clinical Data Management, Clinical Research, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Statistical Reporting, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, Research, R Programming, Data Presentation, Surveys, Data Collection, Data Ethics
Intermediate · Course · 1 - 4 Weeks

LearnKartS
Skills you'll gain: Amazon S3, Amazon Web Services, SQL, Extract, Transform, Load, Data Quality, Data Pipelines, Version Control, Data Modeling, Data Storage, Cloud Storage, Git (Version Control System), Data Storage Technologies, Relational Databases, Data Security, Big Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Data Visualization, Data Visualization Software, Statistical Visualization, Data Preprocessing, Box Plots, Anomaly Detection, Heat Maps, Plotly, Exploratory Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines
Intermediate · Course · 1 - 4 Weeks