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Intro to Data Science - Level 1

Level 1 Beginner Course - Learning Python programing for data analysis, data visualization


Service Description

Certificate: This 8-week beginner-level course is designed for students who are interested in Machine Learning, AI, and Data science. Throughout the course, students will learn Python fundamentals, perform data analysis using the powerful Pandas library, and create data visualizations with the Seaborn library. By the end of the course, students will complete a hands-on data analysis project, gaining valuable skills that prepare them for the world of data science. This course is perfect for students aspiring to pursue data science study in college and anyone looking to develop foundational programming skills. Key Topics Covered: Python programming basics Data manipulation and exploration with pandas Time series analysis Data visualization using matplotlib and seaborn Final project: Students will complete a data analysis project, presenting their findings and applying the skills they’ve learned throughout the course. Prerequisites: No Prior Coding Experience Required, Basic Algebra Knowledge

Ended
800 US dollars
Zoom

Available spots


Cancellation Policy

Registration Process: Students must register for classes before the official start date. Full payment for the course is required at the time of registration to reserve a spot in the class. First-Class Drop Policy: Students may attend the first class and, if they decide to drop the course, they must notify the administration within 48 hours after the first class. If a student chooses to drop the course after attending the first class, they will receive a refund minus the cost of the first class session. Refund Calculation: The refund will be calculated based on the total course fee minus the pro-rated cost of the first class session. The first class is considered non-refundable once attended, and the remaining amount will be refunded to the original payment method within 7-10 business days. No Refunds After the Second Class: No refunds will be issued once the student has attended the second class.


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