MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 18 lectures (3h 21m) | Size: 1 GB
You will learn Object Oriented concepts, Pandas Framework , using Pandas / Python for Querying Databases
What you'll learn:Learn to use Object Oriented Programming with classes!
Learn Popular Pandas Data Processing Framework to do effective data processing
Learning to use Pandas to Query Databases
Understand how to use Anaconda & Jupyter Notebook
Pickling Python Objects & Exception Handling
RequirementsBasic Python Skills
DescriptionHighlights of course:
Designed for working professional for quick learning in 2 hours.
The course is designed in easy to learn format & making it easy for non-programmers.
Utilizing Pandas to perform data processing for data science
Develop applications using Object oriented concepts
Develop applications with Database layer interaction.
The course is a pre-requisite to learning & building machine learning algorithm.
Master Data processing skills which are most integral skills for data science professions & application developers.
Detailed Description:
This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.
The fact is, Python is one of the most popular programming languages in the world - Huge companies like Google use it in mission critical applications like Google Search.
And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that's what you will get from this course.
By the end of the course you'll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.
Who this course is forStudents
Python Programmers
Developers
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