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: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Dataflow, Data Pipelines, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, System Monitoring, Data Transformation, Unit Testing, Disaster Recovery
Advanced · Course · 1 - 3 Months

Skills you'll gain: Trend Analysis, Data Manipulation, Data Analysis, SAS (Software), Analysis, Analytics, Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Business Reporting, Graphing, Statistical Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Risk Modeling, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Copilot, Data Quality, Anomaly Detection, Generative Adversarial Networks (GANs), Data Ethics, Generative AI, Data Pipelines, Data Cleansing, Data Preprocessing, Data Synthesis, Data Validation, Responsible AI, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture, Database Design, Scalability
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Software Installation, Programming Principles, Communication
Beginner · Specialization · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Data Governance, Accounting, Data Management, Internal Controls, Internal Auditing, Control Objectives for Information and Related Technology (COBIT), Auditing, Financial Auditing, Fraud detection, Data Quality, Accounting Software, Data Integrity, Pandas (Python Package), Emerging Technologies, Data Analysis, Analytics, Automation, GitHub, Python Programming, Natural Language Processing
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming
Advanced · Course · 1 - 4 Weeks
University of Colorado Boulder
Skills you'll gain: Model Evaluation, Data Mining, Supervised Learning, Unsupervised Learning, Service Level, Dimensionality Reduction, Deep Learning, Statistical Modeling, Probability, Applied Machine Learning, Anomaly Detection, Machine Learning Algorithms, Statistical Inference, Statistical Hypothesis Testing, Data Warehousing, Recurrent Neural Networks (RNNs), Regression Analysis, Performance Testing, Bash (Scripting Language), Data Science
Credit offered
Graduate Certificate · 6 - 12 Months