Python for Managers
Learn Python for practical business applications, including reading and writing scripts, organizing and interpreting data, combining multiple data sources, communicating with programmers, and exploring web scraping and APIs.
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Course Description
The Python for Data Science and Business Analytics course curriculum combines Python fundamentals with practical business applications. Learners will gain a thorough understanding of how to connect to APIs, scrape data from websites, and access and analyze large volumes of data efficiently. The course is structured into eight modules, each focusing on a specific aspect of Python programming. Topics covered include analyzing data with Python, web scraping with Python, data frames, dictionaries, functions, and data aggregation. Learners will gain hands-on experience in developing data frames, filtering data, analyzing nutrition data, and making pretty plots. By the end of the course, learners will have developed the skills to communicate effectively with programmers, access and analyze large volumes of data, and build efficient Python scripts to solve business problems.
What You Will Learn
By the end of the program, learners will have a solid understanding of Python programming fundamentals and practical applications in data analysis. They will have the skills to set up a development environment, analyze data, filter and edit data frames, work with If statements, lists, dictionaries, and functions, connect to APIs and web scraping, and analyze data using Pandas. Learners will have applied these skills to real-world case studies, including analyzing New York restaurant orders and aggregating weather data. The program's culminating module will focus on advanced data aggregation, creating visualizations, and the final project. Upon completion, learners will have the skills to effectively use Python for data analysis in a business setting.
Instructors
Mattan Griffel is an adjunct professor and Y Combinator-backed entrepreneur. A co-founder of One Month, which offers online bootcamps for coding, Professor Griffel has experience teaching business professionals who want to expand their technical skills. Forbes selected him as one of the 30 Under 30 in Education.
In addition to programming and code, Professor Griffel has taught entrepreneurship and online education. Among the companies he has advised are Pepsico, Bloomberg, GM, NYSE, and JP Morgan. He studied philosophy and finance at New York University, where he wrote his thesis on the metaphysics of consciousness.