July 2018
Beginner to intermediate
3h 39m
English
Closed Captioning available in English
Overview
In this 3-hour course, you'll dive into the world of data science using Python. You'll learn to analyze and visualize datasets while exploring powerful Python libraries such as pandas, NumPy, and scikit-learn, perfect for implementing machine learning models.
What I will be able to do after this course
- Learn to process and analyze data using Python's pandas library.
- Master data visualization using Matplotlib and Seaborn.
- Understand and apply machine learning concepts with scikit-learn.
- Perform exploratory data analysis (EDA) with statistical methods.
- Gain foundational skills for building predictive models and evaluating their performance.
Course Instructor(s)
Ilyas Ustun, the course instructor, is an experienced data scientist and talented educator. Passionate about sharing expertise in Python and machine learning, Ilyas effectively explains complex concepts through practical examples and hands-on coding exercises.
Who is it for?
This course is perfect for aspiring data scientists or professionals familiar with Python basics who want to understand data analysis and machine learning fundamentals. Learners could include analysts looking to enhance their skills, programmers transitioning into data science, and anyone enthusiastic about getting started with Python for data science applications.
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