In many fields and business sectors, big data has been produced thanks to advancements in computation and hardware fields together with digital transformation enabled by these. Potential added value that can be obtained by processing data and converting it into meaningful results is quite high. However, classical methods are not adequate for this task. That is why the “data science” concept that combines many different disciplines has emerged. The purpose of this program is to convey the data science process to the participants in theoretical and practical terms. In this context, it aims to give the necessary basic programming and mathematics knowledge, to teach machine learning steps and frequently used methods, and to put what is learned into practice.
Outcomes for participants who successfully complete this program:
Who can apply?
Anyone with a background in mathematics or programming, regardless of their industry, position or seniority, who is interested in data processing, drawing meaningful conclusions from data, and data-driven problem solving and wants to apply them in both business and daily life.
|1||Introduction to Data Science||Mehmet Gönen||December 12, 2022|
|2||Statistics Review for Data Science||Mehmet Gönen||December 14, 2022|
|3||Introduction to Data Processing in Python 1||Barış Akgün||December 19, 2022|
|4||Introduction to Data Processing in Python 2||Barış Akgün||December 21, 2022|
|5||Introduction to Machine Learning 1||Mehmet Gönen||January 3, 2023|
|6||Machine Learning Applications in Python 1||Barış Akgün||January 4, 2023|
|7||Introduction to Machine Learning 2||Mehmet Gönen||January 10, 2023|
|8||Machine Learning Applications in Python 2||Barış Akgün||January 11, 2023|
|9||Introduction to Machine Learning 3||Mehmet Gönen||January 16, 2023|
|10||Machine Learning Applications in Python 3||Barış Akgün||January 18, 2023|
Instructors: Barış Akgün, PhD & Assoc. Prof. Mehmet Gönen
Duration: 60 hours (10 days)
Dates: 12 – 14 – 19 – 21 December 2022
3 – 4 – 10 – 11 – 16 – 18 January 2023
Hours: 9:30 – 16:30
Application Deadline: 2 December 2022