الأحد 04 12 2016 - 06:20 مساءً
1405-2016

كورس Learning Python for Data Analysis and Visualization

كورس تعليم برمجة Python من الصفر حتى الاحتراف من انتاج udemy

تاريخ الإضافة : السبت 14 05 2016 - 01:07 مساءً اخر تحديث : السبت 14 05 2016 - 01:31 مساءً
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كورس Learning Python for Data Analysis and Visualization
تعلم برمجة بايثون من الصفر حتى الاحتراف 
تعلم كيفية البرمجة واستخدامها لتحليل البيانات وتصورها وعرضها من خلال نماذج وتعليمات برمجية 
تعرف على الموارد اللازمة لتعلم برمجة بايثون وفعاليتها في تحليل البيانات وابدأ حياتك المهنية

الكورس يتطلب خبرة سابقة في البرمجة
اللغة en
الحجم 1.2 جيجا
اكثر من 100 محاضرة
20 ساعة تدريب
Course Description

NOTE: IF YOU ARE A COMPLETE BEGINNER IN PYTHON-CHECK OUT MY OTHER COURSE "COMPLETE PYTHON BOOTCAMP"!

This course will give you the resources to learn python and effectively use it analyze and visualize data! Start your career in Data Science!

You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.

You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!

By the end of this course you will:

- Have an understanding of how to program in Python.

- Know how to create and manipulate arrays using numpy and Python.

- Know how to use pandas to create and analyze data sets.

- Know how to use matplotlib and seaborn libraries to create beautiful data visualization.

- Have an amazing portfolio of example python data analysis projects!

- Have an understanding of Machine Learning and SciKit Learn!

With 100+ lectures and over 20 hours of information and more than 100 example python code notebooks, you will be excellently prepared for a future in data science!

What are the requirements?

Basic math skills.
Basic to Intermediate Python Skills
Have a computer (either Mac, Windows, or Linux)
Desire to learn!
What am I going to get from this course?

Have an intermediate skill level of Python programming.
Use the Jupyter Notebook Environment.
Use the numpy library to create and manipulate arrays.
Use the pandas module with Python to create and structure data.
Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
Create data visualizations using matplotlib and the seaborn modules with python.
Have a portfolio of various data analysis projects.
Full details
What is the target audience?

Anyone interested in learning more about python, data science, or data visualizations.
Anyone interested about the rapidly expanding world of data science!
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