[Udemy] Python for Data Analysis and Visualization - 32 HD Hours

[Udemy] Python for Data Analysis and Visualization - 32 HD Hours

Спойлер: О курсе

This is a comprehensive beginner/ intermediate course for Learning Data Analysis and Visualization with Python! If you are thinking/wondering about the field of Data Science, already know the basics of programming or coming from another programming language, this is the course you have been waiting for.

Data Science is becoming more and more popular currently and Data Scientist is one of the most demanding jobs on the market. This course will teach you the fundamental techniques required to analyze and visualize various data sets (like Stock Market, titanic dataset and IMDB movies).

The course has over 175 lectures and more than 32 hours of HD video, and explains the most fundamental techniques which are the milestones in Data Science.

The entire course is hand on and what better way is there to learn Data Analysis and Visualization with Python than working with and analyzing real datasets like the stock market from beginning to the end? Lecture NOTES are also included in pdf format so that you can follow along or use it as a reference.

(LECTURE NOTES are currently being prepared and will be available in the next 3-7 days).

This course has over 150 example codes and exercises and 4 major projects that will give you a chance to apply what you have learned!

In addition, there are separate bonus sections dedicated to explaining the differences between Python 2 and Python 3, Python Refresher on Objects and Data Structures and Exercises on Functions and If Statements.

At the end of the course you will apply techniques to analyze and visualize datasets and learn and refresh your skills in both versions of Python, i.e Python 2 and Python 3.

Что будет в этом курсе?

• Image Analysis
• Database Programming
• Querying Databases with Pandas
• Generating and Handling Date and Time
• Data Visualization with Seaborn, Bokeh and Matplotlib
• Working with Text, HTML and Excel Files
• Data Aggregation
• Python 2 vs Python 3
• Create and Manipulate Arrays, Series and DataFrames
• Numpy, Pandas, Scipy…
• Analyze IMDB movies and Stock Market Data.
• Best programming practices and so much more...

Какова целевая аудитория?

• Специалисты и студенты, заинтересованные в области науки данных!
• Компьютерные пользователи, которые хотят научиться программированию на Python!
• ИТ администраторы, инженеры QA!