Python for Data Analysis and Visualization - 32 HD Hours !

Python for Data Analysis and Visualization -  32 HD Hours !
Learn Numpy, Pandas, Image Analysis, Time Series Analysis, Querying Database with Pandas, Database Prog and much more !!


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  lecturesand** 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.

There is a 30 day money back guarantee if you are not satisfied with the course.

Here is a snap shot of some of the topics you will learn:

  • 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…


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