print(“HELLO DATA WORLD”)

I am a data science enthusiast for a while. The worldwide Covid-19 outbreak allowed us to discover many new areas of interest. This made an opportunity to care about my long-term hobbies; programming and data science.

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I would like to share with you what i have learned in this journey through this blog as a data science enthusiast. I aim to observe how i need to improve myself. And of course, i would like to contribute to new beginners and improve each other in data science.

Let me introduce my journey…

WHERE DID I START FROM?

First of all, I decided what i would like to do. I was wondering how Spotify, Netflix or Youtube recommended a content to me which I would interest. I would like to know backstage.. Machine Learning Algorithms:)

I started to search which programming language i need to learn. I found that I need to learn Python which is a high-level programming language. It has a simple syntax and semantics. It is very similar to English syntax. Python is also a very common used programming language about Machine Learning and Artificial Intelligence applications because of its strong frameworks.

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While i was learning Python and data science I have benefited in these courses for the beginning;

• https://www.udemy.com/course/flowchart-algoritma-python/learn/lecture/17552352?start=0#overview
• https://www.udemy.com/course/veri-bilimine-giris/learn/lecture/17851408?start=0#overview
• https://www.udemy.com/course/python-egitimi/learn/lecture/18283098?start=0#overview
• https://www.coursera.org/learn/python-crash-course?
• https://www.coursera.org/learn/what-is-datascience?

Also there are so many articles about programming in the internet that I have read and still reading. I observed that learning to search is the most important thing about programming;) So there are many resources I use. Some of them;

Python Tutorial

Stack Overflow - Where Developers Learn, Share, & Build Careers

Python Programming Language - GeeksforGeeks

Kaggle: Your Machine Learning and Data Science Community

Dashboard | HackerRank

Some of Python tools I use most in Data Analysis are following;

• String Methods,
• Collection Data Types,
• Conditions and If Statements,
• Loops(While, For)
• Functions and Lambda Functions
• RegEx (Regular Expression)

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You could also watch movies to keep motivation up. Some of them are;

• Moneyball (2011)
• The Great Hack (2019)
• The Social Dilemma (2020)
• Transcendence (2014)

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I realized that to be a person who is interrogator, curious, patient and researcher is a must in this journey. I am going on to share through this blog what i have done and what i will do through this path.

Let’s learn together:)