DataScienceWithPython

Get started with Data Science with Python

An engaging journey to become a Data Scientist with Python

TL;DR

• Download all Jupyter Notebooks from repo (zip-file-download).
• Unzip download (main.zip) an appropriate place.
• Launch Ananconda and start JuPyter Notebook (Install it from here if needed)
• Open the first Notebook from download.
• Start watching the first video lesson (YouTube).

Why do most fail with Data Science?

• Most focus on getting good at all technical aspects:
  • Math
  • Stat
  • Python
  • R
  • Machine Learning
  • pandas
  • NumPy
  • PyTorch

...and the list could go on and we didn't dive into sub-categories (but you get the point)

DISCLAIMER!!! This is the wrong (long) way to learn!

Master the Data Science Workflow

• Understanding what matters
  • The full workflow
  • How to add value to customers
• Focus on how to add value
  • This can be done with limited technical knowledge
  • ...and we will cover all you need
• Later you can become an expert in whatever your interest are
• But you should first understand the WHY!

This course will cover all aspects of it with the focus to get you there as fast as possible!

What will we cover?

• Data Science Workflow
  • Acquire - Prepare - Analyze - Report - Actions
• Data Visualization
• pandas for Data Science
• Data Sources
  • Web Scraping
  • Databases
  • CSV, Excel & parquet files
• Where to find data
• Join (combine) data
• Statistics you need to know
• Machine Learning Models
  • Linear Regression
  • Classification
  • ...also check out the Machine Learning Course
• Cleaning Data
• Feature Scaling
• Feature Selection
• Model Selection

At the end of the course you are provided with a template covering all aspects of the Data Science Workflow

• Acquire - Prepare - Analyze - Report - Actions