Free - Online - Live 9 Hours Python for Data Science Bootcamp
Details
Please register using the zoom link to get a reminder:
https://us02web.zoom.us/webinar/register/WN_kSmzwf-RSkS_Zm8XAunncA
This class is targeted at aspiring programmers who are learning their first programming language. It may be appropriate for programmers who currently at beginner-intermediate level in another programming language, and want to get a jump start in learning Python. Such students will also clarify their understanding of what aspects of programming languages are broadly shared among languages, and which are idiosyncratic to whatever language they already speak.
The majority of this course is dedicated to learning foundational aspects of programming. However, it is often easier to elucidate these through concrete examples. Many of the examples are geared towards applications in analytics, statistics, and artificial intelligence. This focus skews the class slightly, but students will still build a strong enough foundation to learn domain specific skills. It also means, a little bit of prior statistics knowledge will be helpful during the last two classes.
Students who take this class will be able to:
●Identify and describe the foundations of all programming languages, especially the use of:
-Variables,
-Common data processing techniques,
-Control flow,
-Functions,
-Scope,
-Imports, libraries, and APIs
●Use Python to import and process data.
●Work with libraries and APIs in Python.
●Use Python libraries to create charts and graphs.
●Describe artificial intelligence and machine learning at a high level.
●Use Scikit Learn to perform ML tasks.
Your learning experience will be supported by office hours and a Slack channel, where you can ask your questions and get help when you got stuck.
Schedule:
December 4 - 11 - 18
Saturdays, from 4 pm to 7 pm (EST)
What You’ll Learn in these 9 hours?
• Conditional Statements
• Functions
• Try / Except
• List Comprehension
• Lambda Expressions, Map, and Filter Functions
• Examples
About Dr. Abdullah Karasan
Abdullah Karasan is a principal data scientist at Magnimind Academy and an instructor for O'Reilly and Springboard. He’s published several papers in prestigious journals in the field of financial data science and is the sole author of Machine Learning for Financial Risk Management with Python (forthcoming December 2021). Born in Berlin, Germany, he holds a master’s degree from the University of Michigan-Ann Arbor and a PhD in financial mathematics from Middle East Technical University. He has several published scientific articles and the author of the book in progress titled “Machine Learning for Financial Risk Management in Python”.
Please register using the zoom link to get a reminder:
https://us02web.zoom.us/webinar/register/WN_kSmzwf-RSkS_Zm8XAunncA
Webinar ID: 822 6543 4393