Course curriculum

    1. Course Introduction

    2. Section Introduction

    3. Scaling Out Instead of Up

    4. Google's Scaled Out Revolution

    5. Demo: Creating an Account on Google's Cloud Platform

    1. Section Introduction

    2. BigQuery Defined

    3. BigQuery Stores Structured Data

    4. Parallel Execution

    5. Demo: Web UI

    6. What BigQuery Is Not

    7. BigQuery Technology Stack

    8. Demo: Navigation Basics

    1. Section Intoduction

    2. Three Core Careers

    3. Applied Machine Learning

    4. The Machine Learning Process

    5. Types of Machine Learning

    6. Why Python is the King

    7. Install Python on Windows

    8. Install Python on a MAC

    9. The Array

    10. Basic Jupyter Notebook Navigation

    1. Section Overview

    2. Core Machine Learning Libraries

    3. Demo: Core Machine Learning Libraries

    4. Sourcing Data

    5. Exploratory Data Analysis

    6. Data Cleansing

    7. Demo: Modeling

    1. Section Introduction

    2. Linear Regression

    3. Demo: Linear Regression

    4. Classification

    5. Demo: Classification

    6. What is an Artificial Neural Network?

    1. Section Introduction

    2. Datasets and Tables

    3. Demo: Datasets and Tables

    4. Demo: Cloud Datalab

    5. Demo: Modeling the Titanic Dataset in Cloud Datalab

    6. Demo: Modeling the Iris Dataset on Cloud Datalab

    7. Demo: Scale Cloud Datalab

    8. BigQuery ML

    9. Demo: BigQuery ML Binary Logistic Regression

    10. Installing the Google Cloud SDK

    11. Demo: gsutil Navigation Basics

    12. Demo: Segmenting Datasets

About this course

  • Free
  • 48 lessons
  • 2.5 hours of video content