Python Course for Machine Learning & Data Science Beginners

python automation, numpy, pandas, matplotlib, seaborn, data science, python programming, python, python scripting

Ratings: 4.54 / 5.00




Description

Lets learn the powerful libraries to transform your career.

22200+ students learning the course. I promise not to exhaust you with huge number of videos.

Welcome to the most comprehensive Python Course for Machine Learning & Data Science Beginners! An excellent choice for beginners and professionals looking to up skill themselves and take first step in the domain of Python, Data Science or Machine Learning. This course covers most popular as well as most powerful libraries used across the industry such as Numerical Python to deal with scientific multidimensional matrix operations efficiently, Pandas to easily program on top of tabular spreadsheet like datasets, Matplotlib to create easily digestible powerful visuals including Seaborn for creating statistical graphics and more! Course covers Case Study to help you understand how all the learning can be utilized in the real scenarios. Covered the Fundamentals of Programming such as Decision Controls, Loops, Operators, Data types, Collections and more! Including Exploratory Data Analysis and high level walk through of available Machine Learning tools. And more!


Why learn Python Course for Beginners?

You need to take the first step towards learning hot skills in the market. In order to sustain and earn more and more money in the job market, you need to keep upgrading yourself. This course offers you to learn the most powerful libraries user across the technology industry in the world. Learning these libraries is the creating base or first step towards hot and high paying jobs in the market such as Python Developer, Data Scientist, Machine Learning Scientist or Data Professional etc.

Whether you're a student or any professional willing to up-skill or learn or planning to transit yourself to python or data science or machine learning related roles. This course offers you an incredible libraries used across the industry and will strengthen your CV.


Student Reviews:

"teaching from basics and explaining everything clearly"

"This course was a good match for me. It goes straight to the point. So far, the user interface has been the same with the illustrations and there have been no complications."

"Well explained."

"Nice For Beginner."

"This is one of the best course for learning basics of python for Machine Learning.Thanks to the instructor for explaining concepts in a clear understandable manner!"

"Totally amazing experience and good to know all information About python for data science"

"great experience, however it was quite tricky to understand jupyter for me."

"This is a nice course to explore your learning in the changing dynamic environment."

"quite basic and easy to understand, it was helpful to be lead through different libraries"

"A very useful and basic course about Python in Data Science. The contents were very clear and the Instructor as well."

What You Will Learn!

  • Fundamentals of Programming - Decision Controls, Loops, Operators, Data types, Creating Identifiers and Operators etc.
  • Collections - List, Set, Dictionaries, Tuples etc.
  • Pandas DataFrame - Sorting, Filtering, Aggregations, Analyzing, Organizing, and more!
  • Numerical Python (Numpy) - Matrix Operations, Multidimensional Arrays, and more!
  • Matplotlib - Create easily digestible powerful visuals and more!
  • Seaborn - creating statistical graphics etc.
  • Case Study - You understand how all the learning can be utilized in the real scenarios.
  • Machine Learning - High level tools walkthrough etc.
  • Exploratory Data Analysis.
  • Python environment installation etc.
  • and more !

Who Should Attend!

  • Students
  • Professionals who want to take first step towards high paying roles such as Python Developer, Data Scientist, Machine Learning Scientist or Data Professional etc.
  • Anyone who want to up-skill and learn most powerful libraries in the Python
  • Managers
  • Production Support Engineers
  • Business Analysts
  • Test Engineer
  • Automation Engineer