Python Data Science

Learn Python and Machine Learning, build the skills you need to analyze data. This course is generally related to mathematics and data sciences including virtualization. Great for anyone trying to use code to be more data-driven.

CURRICULUM

Roadmap of the Course

Week 1 - 5

Python Programming

Make your entrance into the wonderful world of programming with Python!

Week 6 - 7

Object-Oriented Programming

You will learn Object-oriented programming (OOP) that is a method of structuring a program by bundling related properties and behaviors into individual objects.

Week 8 - 9

GUI Programming

Combine your Python programming knowledge with your GUI design by using PYQT-5

Week 10 - 11

Database

You will learn to store data securely and use it whenever you want. (SQL/ NonSQL)

Week 12- 13

Web Scraping, HTTP Request and API's

You will learn to scrape information from the internet and use this information (Beautiful Soup, Selenium, Scrapy)

Week 14

Statistics for Data Science

You will earn the basic statistical information to use when processing data.

Week 15 - 17

Exploring Data

You will learn about Exploratory Data Analysis or (EDA) that is understanding the data sets by summarizing their main characteristics often plotting them visually.(NumP, Pandas)

Week 18- 20

Data Visualization

You will learn about Data Visualization that plays an essential role in the representation of both small and large-scale data.(Matplotlib, Plotly, Seaborn)

Week 21 - 25

Machine Learning

Get the key element of Supervised and Unsupervised learning.

Week 26

NLP and Recomendation Systems

Learn Recommender systems (RS) that have evolved into a fundamental tool for helping users make informed decisions and choices.

Week 27 - 30

Data Science Project

Let's bring it all together: combine your forces to build a data science project!

Week 31

GRADUATION

Collect your certification to became data scientist!