Yes. You can start learning data wrangling on Coursera for free in two ways:

1. Preview the first module of many data wrangling courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data wrangling, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn data wrangling, start by selecting a course that aligns with your current skill level and learning goals. Engage with hands-on projects to practice your skills in real-world scenarios. Utilize online resources, such as tutorials and forums, to supplement your learning. Regular practice and application of concepts will help reinforce your understanding and build confidence in your data wrangling abilities.‎

Typical topics covered in data wrangling courses include data cleaning techniques, data transformation methods, handling missing values, and data integration. You may also learn about data formats, data types, and how to use various tools and libraries for effective data manipulation. Understanding these topics will provide a solid foundation for working with data in any analytical context.‎

For training and upskilling employees in data wrangling, courses like the Data Wrangling with MongoDB and the Wrangling Data in the Tidyverse are excellent choices. These courses are designed to equip teams with the necessary skills to handle data efficiently, fostering a data-driven culture within organizations.‎