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 Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Statistical Modeling, R Programming, Regression Analysis, Data Analysis
Mixed · Course · 1 - 3 Months

Logical Operations
Skills you'll gain: Seaborn, NumPy, Matplotlib, Data Transformation, Data Manipulation, Data Visualization Software, Pandas (Python Package), Plot (Graphics), Data Visualization, Jupyter, Scatter Plots, Data Science, Data Processing, Data Analysis, Box Plots, Python Programming, Graphing, Computer Programming, Computer Programming Tools, Software Development
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: SPSS (Software), Statistical Analysis, Data Manipulation, Data Visualization Software, Data Analysis, End User Training and Support, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics, Graphing
Beginner · Course · 1 - 4 Weeks

Coursera
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Plot (Graphics), Plotly, Matplotlib, Data Presentation, Dashboard, Seaborn, Tableau Software, Scatter Plots, Heat Maps, Histogram, Google Sheets, Data Analysis, Python Programming, Cloud Applications, Business Communication
Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Beginner · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Web Scraping, Data Integration, Data Cleansing, Data Import/Export, Data Quality, Data Preprocessing, Data Collection, Data Wrangling, Data Manipulation, SQL, Databases, Query Languages, Extensible Markup Language (XML), Pandas (Python Package), Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Engineering, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage, Data Science, Machine Learning
Beginner · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Clinical Data Management, Clinical Research, Data Quality, Health Informatics, Time Series Analysis and Forecasting, Data Cleansing, Data Analysis, Data Modeling, Data Science, Analytical Skills, Statistical Reporting
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Marketing Analytics, Marketing Budgets, Dashboard, Regression Analysis, Marketing Effectiveness, Data-Driven Decision-Making, Analytics, Statistical Analysis, Statistical Methods, Marketing Strategies, Data Analysis, Return On Investment, Data Visualization, Data Storytelling, Marketing Channel, Budgeting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Manipulation, Statistical Analysis, R (Software), Ggplot2, R Programming, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Data Analysis, Statistics, Statistical Modeling, Regression Analysis, Data-Driven Decision-Making, Machine Learning, Descriptive Statistics, Probability Distribution, Time Series Analysis and Forecasting
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Jupyter, Data Import/Export, Pandas (Python Package), Data Transformation, Data Quality
Intermediate · Course · 1 - 3 Months