Free Python Course: You will Learn to Code in Python and How to use NumPy, Pandas, Matplotlib, and Seaborn by real-time Machine Learning project. The details of the Python Course and Python application process further below in the article.
Table of Contents
So, Python is an interpreted high-level general-purpose programming language. Python’s design philosophy emphasizes code readability with its notable use of significant indentation.
Free Python Course:
What you’ll learn:
- Learn Fundamentals of Python for effectively using Data Science
- Use Python for Data Science and Machine Learning
- Refresh Python basics with crash course
- Make use of Numpy and Pandas to implement numerical algorithms
- Data Manipulation
- Learn to use NumPy for Numerical Data
- Array and Matrix manipulation Library NumPy
- Learn to use Numpy for Data Manipulation
- Numpy functions
- Understand and code using the Numpy stack
- Learn to use Pandas for Data Analysis
- Three important data structure of pandas : Series, Data Frame, Panel
- Data Visualization
- Visualise Data using Matplotlib and Seaborn
- Some programming experience
- Be comfortable with coding in Python
- Windows/Linux/MAC machine
- Desire to learn data science
- Nothing else! It’s just you, your computer and your ambition to get started today
Who this course is for:
- Beginner Python developer who is curious about Data Science, Not for experienced Data Scientist
- Anyone who want to make career in Data Science, Data analytics
- This course is meant for people with at least some programming experience
- Anyone who plans a career in data scientist,
This course includes:
- 7 hours on-demand video
- 7 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
How to Subscribe for Python for Machine Learning with Numpy, Pandas & Matplotlib?
The candidates Interested can join with the further process discussed. Firstly, You have to sign up in Udemy.com then log in to udemy so as. You can join the course by the link that is mention below and does not forget to apply the coupon that mentions further.
Apply Coupon Code: CODEWARRIORS
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