Introduction to Data Science and Machine Learning using Python 3

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Introduction to Data Science and Machine Learning using Python 3

About Course

Are you ready to start your journey to become a Data Scientist? Data Scientist is one of the most suitable professions to thrive in this century. It is digital, programming-oriented and analytical. Therefore, it is not surprising that the demand for data analysts in the labor market is growing.

However, the supply was very limited. It is difficult to obtain the skills needed to work as a data scientist. And how to do this? Universities have been slow to create dedicated data science programs. (Not to mention the existing ones are very expensive and time consuming)

Most online courses focus on a specific topic, and it’s difficult to understand how the skills they teach fit into the big picture. This comprehensive course will be your guide to learning how to harness the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

This course is suitable for everyone – beginners with no programming experience, those with some programming experience, and experienced developers looking to learn Data Science! You’ll learn to program in Python, create amazing data visualizations, and use machine learning with Python!

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What Will You Learn?

  • Python Programming
  • Using Python for Data Science
  • Using pandas Data Frames to solve complex problems
  • Using pandas to process Excel files
  • Using NumPy for Numeric Data
  • Using pandas for data analysis
  • Using matplotlib to visualize data
  • Using seaborn for data visualization
  • Using Pandas' built-in visualization library
  • Using Machine Learning Libraries
  • Application of new knowledge in practice
  • Linear regression
  • Bias-Variance Trade-Off
  • Logistic regression

Course Content

Introduction

  • Introduction
  • IMPORTANT! FAQ – Frequently Asked Questions
  • Notes on assignments

Installation of tools

Python Basics

Python functions

Data Science Tools

Data analysis. NumPy library

Data visualization. Matplotlib library

Data visualization. Seaborn Library

Data visualization. Built-in Pandas library visualization

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