Data is growing in importance across every industry, and Python has become far-and-away the most popular tool for doing advanced data analysis.
In this hands-on course, students will quickly go from learning the fundamentals of Python to analyzing real-world datasets. The initial classes will give students practice with foundational programming concepts like loops, functions, and objects. The focus of the class will then shift to tabular data, as you find in CSV files or databases. You will learn how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions. For more information about the topics covered in the course, please refer to our syllabus below.
This course is designed to give beginners the practical skills they need to start contributing valuable insights for their company or organization. Examples and exercises will emphasize how these techniques can be applied to real-world situations and use cases. Previous math or coding experience is not required.
Instructor Bio: Rob joins Noble Desktop after years of experience in the FinTech industry, where he worked on data analytics tools for banks and credit unions. Most recently, he was a senior developer on a targeted marketing tool which won an industry-wide innovation award and is now used by over 80 institutions. Rob holds a B.A. in Mathematics from Wesleyan University and a M.Sc. in Mathematical Logic from the Universiteit van Amsterdam.
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