In this data-driven world, the importance of technology has become ever more apparent. Being able to analyze data on the job can be an important skill to obtain, which is why DeVry University has created a number of skill-building videos to help open doors to new possibilities for you.
Data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions. Before we can visualize data, the raw data must be filtered and organized. Knowing how to wrangle and clean raw data into a more usable format will help you make critical insights that would otherwise be hidden.
This video is geared towards learners who have prior experience with python and are eager to learn more about data cleansing and data analysis. The examples shown in the video are executed in Jupyter Notebooks. If viewers do not have Jupyter Notebooks, they should download Anaconda Navigator.
For additional Python-related videos, check out Basic understanding of Python Programming and Data Visualization in Python with Matplotlib or try our other videos.
