Learn to Code in Python and How to use NumPy, Pandas, Matplotlib and Seaborn by real time Machine Learning project.
What you'll learn:1) Learn Fundamentals of Python for effectively using Data Science and Use Python for Data Science and Machine Learning.
2) Refresh Python basics with crash course and Make use of Numpy and Pandas to implement numerical algorithms.
3) Data Manipulation and Learn to use NumPy for Numerical Data.
4) Array and Matrix manipulation Library NumPy and Learn to use Numpy for Data Manipulation.
5) Numpy functions and Understand and code using the Numpy stack.
6) Learn to use Pandas for Data Analysis and Three important data structure of pandas : Series, Data Frame, Panel.
7) Data Visualization and Visualise Data using Matplotlib and Seaborn.
Requirements:
1) Some programming experience and Be comfortable with coding in Python.
2) Windows/Linux/MAC machine and Desire to learn data science.
3) Nothing else! It’s just you, your computer and your ambition to get started today.
Description:
Are you ready to start your path to becoming a Data Scientist or ML Engineer?
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms. Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed. Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
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