Data wrangling courses can help you learn data cleaning, transformation techniques, and data integration methods. You can build skills in handling missing values, reshaping datasets, and merging data from multiple sources. Many courses introduce tools such as Python libraries like Pandas and NumPy, as well as SQL for database management, showing how these skills streamline data preparation for analysis and visualization.

Google Cloud
Skills you'll gain: Analytics, Statistical Machine Learning, Advanced Analytics, Google Cloud Platform, Big Data, Applied Machine Learning, Data Analysis, Predictive Modeling
Intermediate · Project · Less Than 2 Hours

Coursera
Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Matplotlib, Feature Engineering, Scatter Plots, Data Analysis, Statistics, Exploratory Data Analysis, Seaborn, Data Visualization Software, Correlation Analysis, Applied Machine Learning
Beginner · Guided Project · Less Than 2 Hours
Skills you'll gain: Descriptive Statistics, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Data Import/Export, Analytical Skills, Statistical Analysis, R Programming, Data Wrangling
Beginner · Course · 1 - 3 Months

Skills you'll gain: Interoperability, Data Transformation, Python Programming, Application Security
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Data Transformation, Exploratory Data Analysis, Unsupervised Learning, Dimensionality Reduction, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Google Cloud Platform, Cloud Security, Data Integrity, Performance Tuning, Data Security, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Cloud Storage, Data Storage Technologies, Extract, Transform, Load, Unit Testing, Containerization, Data Transformation
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, R Programming, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Scientific Visualization, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Jupyter, Data Manipulation, Regression Analysis, Data Structures, Software Installation
Beginner · Course · 1 - 3 Months
Skills you'll gain: Data Import/Export, Alteryx, No-Code Development, Data Visualization, Business Analytics, Data Governance, Workflow Management, Operational Efficiency, Business Reporting, Data Cleansing, Data Manipulation, Data Transformation, Data Analysis, Data Integration, Automation
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Pipelines, Data Cleansing, Data Governance, Data Transformation, Cloud Security, Data Visualization, Extract, Transform, Load, Data Integration, Data Processing, Data Management, Data Migration, Data Collection, Cloud Computing, Cloud Storage, Data Analysis, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Dataflow, Serverless Computing, Data Processing, Data Pipelines, Cloud Security, Identity and Access Management, Google Cloud Platform, Containerization, Data Transformation, Data Storage Technologies, Scalability
Intermediate · Course · 1 - 3 Months