Intro to Python for Data Science Bootcamp | May 18
Dr. Jesús Rogel-Salazar
Principal Data Scientist
About This Workshop Series
Python is a versatile and widely-used programming language with many applications. This bootcamp explores Python's place in the scientific ecosystem, and how the language, with several readily-available open-source libraries, can serve as a powerful tool for data analysis.
Designed as a stand-alone introduction to the data science aspects of Python, this class is also a recommended refresher for students planning to enrol in General Assembly's upcoming Data Science course. This bootcamp is hands-on and exercise based, so participants will get plenty of practice.
Participants must have Anaconda pre-installed.
Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set in our part-time Data Science course, or transform your career in tech with our full-time Data Science Immersive.
Schedule
Takeaways
- Ability to write and run Python scripts
- Ability to use Python for basic data analysis tasks (data cleaning and reformatting, exploration, analysis)
- Understanding of Python’s role as a tool in the backend and analysis toolkits
- Understanding of the possibilities opened up through a better understanding of Python
Preparation
- General technical savvy, and comfort with computers
- Some prior experience with use of computers for analysis or repetitive tasks – such as Excel
- Please download & install Anaconda before class.
- This class is taken completely online via Zoom and Slack.
- Class set up information will be emailed on the day of the class.
- You will need access to a laptop or computer with a working webcam and microphone as well as a strong internet connection.
- All communication will be sent to the email used to purchase a ticket. If you have signed up on behalf of a friend or colleague, please forward along this information.
NOTE: this session will not be recorded, however, slides will be sent within 7 days following the class. Participants are also encouraged to download and save any shared materials during class for later reference.
About the Instructor
Dr. Jesús Rogel-Salazar Principal Data Scientist
Curiosity and enquiry has helped Jesús (better known as J) follow a winding path that has passed from physics, chemistry, finance, analytics and even data journalism. He obtained a PhD at Imperial College for work on quantum atom optics and has worked in academic and research posts for Imperial College London and the University of Hertfordshire, as well as for organisations such as IBM Data Science Studio, Prudential and Dow Jones. He has published a number of academic papers and is the author of a couple of books including “Data Science and Analytics with Python”.
When not working you can find Jesús tuned into sci-fi films (good and bad), watching rugby, trying to improve his running times, or writing bits and pieces for his blog http://jrogel.com
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