April 2022
Beginner
14h 50m
English
Closed Captioning available in English
Overview
In this 14-hour course, you will embark on an exciting journey into the world of data science. The course covers essential concepts including data science methodology, Python programming for data analysis, and foundational mathematics such as linear algebra and probability. Through practical assignments and real-world examples, you'll gain the knowledge and skills required to advance in the field of data science.
What I will be able to do after this course
- Understand the principles and practices of data science methodology and its application in real-world scenarios.
- Learn Python programming essentials, including working with variables, data structures, and popular libraries like NumPy and Pandas.
- Develop a solid foundation in statistical inference, probability, and Bayesian reasoning essential for data science applications.
- Master linear algebra concepts, including vector spaces and solving systems of equations, to apply them in data science tasks.
- Execute data analysis projects using Python and gain hands-on experience with common workflows and techniques utilized in the industry.
Course Instructor(s)
Ermin Dedic is a seasoned data professional with years of experience in applying data science methodologies across various industries. He brings a practical approach to teaching, combining his deep technical knowledge with insightful real-world examples. Students appreciate his engaging style and commitment to making complex topics approachable and understandable.
Who is it for?
This course is designed for beginners in data science, whether you're a professional looking to pivot into a data-centric role or a student eager to build foundational knowledge. Those new to programming or mathematical concepts will find this course highly accessible, and it serves as an excellent launchpad for more advanced studies in the field of data science.
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