Resources: DS Toolbox and Fundamentals

Overview

To be effective at your work as an Enterprise Data Scientist or Analyst, you need to be fluent in the concepts and frameworks that are key for these insitutions to work in the modern day. This module has helpful additional information focusing on basic concepts of programming, version control (GitHub) and the cloud, using Azure.

What you’ll learn

  • The basics of computer programming and Python
  • Starting with GitHub
  • Fundamentals of the cloud
  • Fundamentals of Azure

Table of Contents

Resources Links
PowerPoint - Presentations

Get Started

This training repository is divided in to the following sections:

Slides
15 hours

Slides

The slides have presenter notes in each part of the session

Introduction to programming and Python

Time Description
0:00 - 15:00 What is Python?
15:00 - 20:00 Python slides
20:00 - 80:00 Introduction to Python

Version Control & GitHub

Time Description
0:00 - 30:00 Intro to GitHub and Version Control slides
30:00 - 105:00 Introduction to Git
105:00 - 160:00 Collaborate with Git
160:00 - 210:00 Edit code through branching and merging in Git

Cloud & Azure Fundamentals

Time Description
210:00 - 270:00 Cloud Concepts - Principles of cloud computing
270:00 - 310:00 Create an Azure account
310:00 - 350:00 Introduction to Azure
350:00 - 400:00 Azure architecture and service guarantees
400:00 - 475:00 Manage services with the Azure portal
475:00 - 515:00 Azure compute options
515:00 - 540:00 Azure data storage options
540:00 - 570:00 Azure networking options
570:00 - 645:00 Security, responsibility, and trust in Azure
645:00 - 690:00 Apply and monitor infrastructure standards with Azure Policy
690:00 - 735:00 Control and organize Azure resources with Azure Resource Manager
735:00 - 810:00 Predict costs and optimize spending for Azure
810:00 - 855:00 Introduction to Azure Machine Learning

Prerequisites

Next steps