Course overview
- Provider
- Udemy
- Course type
- Paid course
- Level
- All Levels
- Duration
- 2 hours
- Lessons
- 9 lessons
- Certificate
- Available on completion
- Course author
- Abilash Nair
-
- Fundamental understanding of the python programming language.
- Advanced Python Programming enabling you to confidently apply for python programming jobs.
- Data Processing with Pandas for Data Science.
- Acquire Perquisite Pandas skills for Data science and Machine learning.
- Apply Object Oriented Programming (OOPS) to your project and resume
- CRUD operation on Data Base with Pandas
Description
Highlights of course:
Designed for working professional for quick learning in 2 hours.
Fundamentals of Python covered in 2 hours.
The course is designed in easy to learn format & making it easy for non-programmers.
More focus on practical execution.
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.
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