A comprehensive introduction to data science with Python programming language that introduces how to work with different data structures and covers the most popular data analytics and visualization modules.
This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular Python data analysis and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class.
The weekend class is extremely helpful. You spent 5 hours on Sunday and learn as much as you could during those hours. Because it is taught by using Jupyter notebook, it is really easy to follow and to relearn over the following week. The teacher has really good understandings of machine learning theories and on the application of data science across different fields. It is an investment that will pay dividends in your career if you are determined to bring some data science to your toolbox and your workplace.
Anthony was great - really got into the practical uses of python for data analysis and had really useful analogies to understanding different topics and concepts. Really enjoyed the class and felt like I could take something practical away from it.
Completing the Data Science with Python: Data Analysis and Visualization is no small achievement. It signifies to the world that you successfully learned the foundational python programming skills you will need to progress onto the more advanced Python skills and ultimately, completion of our Data Science Bootcamp.
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