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: Data Cleansing, Data Quality, Clinical Data Management, Health Informatics, Patient Safety, Data Transformation, Data Preprocessing, Data Validation, Exploratory Data Analysis, Data-Driven Decision-Making, Descriptive Statistics, Statistical Analysis, Text Mining, Data Visualization, Microsoft Excel, Anomaly Detection
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Quality, Data Management, Quality Assurance, Stored Procedure, Data Cleansing, Data Integrity, Quality Improvement, Quality Assessment, Data Validation, Data Pipelines, Key Performance Indicators (KPIs), SQL, Data Processing, Extract, Transform, Load, Performance Analysis, Anomaly Detection, Continuous Monitoring, Automation, Root Cause Analysis, Trend Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Performance Analysis, Performance Testing, Performance Measurement, Benchmarking, Data Modeling, Data Processing, Extract, Transform, Load, Data-Driven Decision-Making, Statistical Analysis
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Quality, Extract, Transform, Load, Anomaly Detection, Data Pipelines, Data Validation, Data Integrity, Dependency Analysis, Data Transformation, Data Processing, Dashboard, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Extract, Transform, Load, Power BI, Data Transformation, Data Cleansing, Query Languages, Data Manipulation, Data Integration, Data Validation, Data Import/Export, Data Quality, Data Analysis, Data Modeling, Anomaly Detection, Data Storage
Beginner · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Power BI, Data Transformation, Data Manipulation, Data Visualization Software, Data Cleansing, Data Visualization, Data Storytelling, Business Intelligence, Data Analysis, Data Analysis Software, Microsoft Excel, Data Quality, Exploratory Data Analysis, Query Languages, Microsoft PowerPoint, Microsoft 365, Microsoft Office
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation
Intermediate · Course · 3 - 6 Months

Microsoft
Skills you'll gain: Data Manipulation, R Programming, Tidyverse (R Package), Text Mining, Data Wrangling, Data Transformation, Data Cleansing, Performance Tuning, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Jupyter, Programming Principles, Python Programming, Scripting
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Ajax, Javascript and jQuery, Data Validation, JSON, Javascript, Event-Driven Programming, Web Development Tools, Object Oriented Programming (OOP), Debugging
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Preprocessing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks