Course curriculum

  • 1

    Course Foundations

    • Course Introduction

    • Section Introduction

    • Scaling Out Instead of Up

    • Google's Scaled Out Revolution

    • Demo: Creating an Account on Google's Cloud Platform
  • 2

    BigQuery Fundamentals

    • Section Introduction

    • BigQuery Defined

    • BigQuery Stores Structured Data

    • Parallel Execution

    • Demo: Web UI

    • What BigQuery Is Not

    • BigQuery Technology Stack

    • Demo: Navigation Basics
  • 3

    An Introduction to Applied Machine Learning

    • Section Intoduction

    • Three Core Careers

    • Applied Machine Learning

    • The Machine Learning Process

    • Types of Machine Learning

    • Why Python is the King

    • Install Python on Windows

    • Install Python on a MAC

    • The Array

    • Basic Jupyter Notebook Navigation

  • 4

    Machine Learning Libraries

    • Section Overview

    • Core Machine Learning Libraries

    • Demo: Core Machine Learning Libraries

    • Sourcing Data

    • Exploratory Data Analysis

    • Data Cleansing

    • Demo: Modeling
  • 5

    Classification and Regression

    • Section Introduction

    • Linear Regression

    • Demo: Linear Regression

    • Classification

    • Demo: Classification

    • What is an Artificial Neural Network?

  • 6

    Machine Learning with BigQuery

    • Section Introduction

    • Datasets and Tables

    • Demo: Datasets and Tables

    • Demo: Cloud Datalab

    • Demo: Modeling the Titanic Dataset in Cloud Datalab

    • Demo: Modeling the Iris Dataset on Cloud Datalab

    • Demo: Scale Cloud Datalab

    • BigQuery ML

    • Demo: BigQuery ML Binary Logistic Regression

    • Installing the Google Cloud SDK

    • Demo: gsutil Navigation Basics

    • Demo: Segmenting Datasets