Python & Data Science: Data Science with Real Life Problems

We will learn the Python language infrastructure and Data Science required to learn our ultimate goal, Artificial Intelligence algorithms.

PYTHON PART DESCRIPTION

• Python Introduction

• Python Basics
  

• Object Oriented Programming (OOP)  

• Dealing with Programming Errors  
  

• Numpy Library

• Pandas Library
  

• Matplotlib Library

DATA SCIENCE PART DESCRIPTION

• Data Science Introduction

• Kaggle and Data Science

• Introduction to Python

• Python Data Science Tool Box

• Cleaning Data

• Pandas Foundation

• Manipulating Data Frames with Pandas

• Titanic Project

WHY PYTHON?

• According to 2020 IEEE research, Python is one of the most used and preferred programming languages worldwide.

• Python is the first choice of newcomers to coding thanks to its easy learning.

• Python is open source, supported by the world's largest companies such as Facebook or Google.

• When it comes to data science, machine learning or artificial intelligence, Python language comes to mind first. This causes Python to have a large worldwide audience.

• In terms of professional career, Python is one of the languages with the most opportunities.

WHY DATA SCIENCE?

• Helping people make faster and more effective decisions.

• Demand and job opportunities for data scientists with the increase of data.

• Start-up opportunities.

• Decision making ability.

THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSE

• Coding ability from scratch: We will code together.

• Codes and Templates: You can download every Python template and code we have created in the course. Thanks to this code and template, you create the infrastructure for the applications and projects that you will make later.

• Theory and Logic: We not only tell you how to write code, but also the logic and theory behind the code we write, and why we write such a code.

WHO WE ARE: DATAI TEAM ACADEMY

DATAI TEAM is a team of Python Programmers and Data Scientists.