Data Science with Python (PA3)
Suitable for students in Middle School and High School
This course is ideal for students who want to learn data science concepts of analyzing, manipulating and visualizing data in the context of building an AI algorithm using it. Anyone who is familiar with python and AI and python basics (or) has taken AI Basics (M1) and Build a chatbot with AI (PA1) courses is suitable for taking this class.
Suitable for:
• Those who are familiar with the basics of AI and python and in Grade 8 or higher (OR)
• Those who have taken Build a Chatbot with AI and Python (PA1) and AI Basics (M1).
Learn Artificial Intelligence - a new technology that is shaping our world!
Prerequisite:
Students enrolling are expected to have a basic background in python (data structures, functions, importing modules etc). Any student who has taken an entry level python course with us (PA1 or Summer Camp) automatically qualifies for this course.
Why learn Python?
Python is a language in very high demand because of its versatility and penetration into just about every industry. It can be used for building artificial intelligence systems, web development, graphic design, gaming and the list goes on.
Now is the time for your child to get introduced to the world of coding and python. All our classes are designed around projects that they build incrementally by using concepts learnt in each consecutive class.
Why choose AIClub?
• Designed by AI experts with PhDs in Computer Science!
• These classes are the only ones where students get to build AIs from the very first class, which is precisely why they are so popular among students who love the opportunity to learn about and create these technologies!
We have no math or programming requirement. If they would like to code, they can do that also! Kids get interested and start building fun AI applications and also get motivated to learn programming, math and more STEM topics.
Description
This course shows students how to use Python to analyze and use data. Building upon their learnings in both their AI courses and their first Python course, this class shows students how to use Python to build powerful applications that can combine different types of data ( categories, numbers, etc.).
Topics, Tools, and Modules:
• Review core programming concepts and be able to write a functioning application in Python.
• How data structures work and powerful Python libraries that can be used to process data.
• Basics of statistics and how to analyze and understand datasets using Python.
• How to experiment with public datasets and process public datasets in Python for use in their AI applications.
• How to generate data using Python and different programming constructs that are available in Python to manipulate data (arrays, dictionaries, data frames etc.)
• How to do feature engineering and how it impacts AI performance
The students will build a custom project in Python and learn how to debug, test and present their final application in a demonstration. With the knowledge gained in this class, students can access public datasets like Kaggle, process the data in python, and build powerful applications.
What students take away
• A custom project that they can showcase and share.
• One year access to an online cloud account where they can continue to build new projects and learn more AI.
• Opportunities to compete and win in AI competitions. For more information on this, visit our
• Certificate of Completion
Schedule
Duration: 8 weeks / 1.5 hours per session
We offer a range of dates and times to accommodate busy schedules.
Since we use entirely online tools, if a student must miss a class, it is easy for them to do the required work at home. We provide materials for missed classes and drop in times for students to come in for personal assistance on material covered in a missed class. We do ask however that the student attend the first and last class since this is needed for them to get oriented and also complete their custom project.
Important Notice: The class schedules listed here are fixed. Session rescheduling is not possible in the event of student absence, even if the class has only one student. Thank you for your understanding.