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2021-03-11 21:19:07
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Development Data Science Google BigQuery

Google BigQuery guide for beginners 2021

The best way to get you started with data science in Google BigQuery in 2021
Rating: 4.1 out of 54.1 (22 ratings)
74 students
Created by Lukas Vozda
Last updated 12/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Understand the concept of BigQuery and how does it stand next to other databases such as MySQL or Postgress
  • Import your data to BigQuery and Cloud storage, create your table, export data
  • SQL basics – SELECT, WHERE, ORDER BY, LIKE, JOIN, Date and String functions
  • SQL aggregation functions - SUM, AVG, COUNT, HAVING and GROUP BY
  • BigQuery ML to create your own machine learning model easily with SQL, make a time series prediction
  • Visualise your data in Google Data Studio and make your own dashboard
  • Advanced BigQuery concepts – Partitioning tables, Clustering and Nested Fields
  • Window analytical functions - SUM() OVER (PARTITION BY...)

Course content

4 sections • 25 lectures • 2h 53m total length

  • Preview01:05
  • Preview02:13
  • What is BigQuery compared to other databases
    03:16
  • Create your Google Cloud account and get 300$ credit voucher
    03:00
  • Tour through BigQuery and Google Cloud interface
    08:39
  • BigQuery Public Datasets
    01:46
  • Import your data to BigQuery
    04:52
  • Export your data and Data Studio Explorer
    03:38
  • BigQuery pricing explained
    04:14
  • Data transfers from Cloud Storage
    07:22
  • Section 1 Quiz
    3 questions

  • The best way to learn SQL
    02:23
  • SQL basics (SELECT, WHERE, ORDER BY)
    07:19
  • SQL - Aggregating functions (SUM, AVG, COUNT), GROUP BY, HAVING, LIKE
    06:48
  • SQL - Joining tables
    14:23
  • SQL - DATE Functions
    05:49
  • SQL – String formating, cleaning, CASE WHEN
    05:49
  • SQL - Window Functions (PARTITION OVER)
    10:41
  • SQL quick test
    6 questions

  • Introduction to BigQuery ML
    03:09
  • Time series prediction using BigQuery ML
    15:38
  • Preview10:55
  • ML daily prediction refresh – Scheduled Queries
    05:40
  • ML excercise
    3 questions

  • Display your data with Google Data Studio
    21:20
  • Clustering and Partitioning tables
    08:02
  • Nested fields
    08:26
  • Connect your BigQuery data to Python data frame in Google Colab
    07:03
  • Last Quiz
    4 questions

Requirements

  • Interest in data or cloud technologies
  • No specific technical knowledge needed

Description

I designed this class for people that are starting with Google Cloud Platform and BigQuery. I put 5 years of my knowledge into 3 hours of video content where I try to explain all the important concepts of BigQuery.

We will take it through:

  • Understanding the concept of BigQuery

  • Import your data into BigQuery and Cloud storage

  • SQL basics (WHERE, GROUP BY, JOIN TABLES, CASE WHEN)

  • SQL Date and String functions

  • SQL BigQuery specific features (Nested fields, Partitioned tables, Clustering)

  • SQL window analytical functions

  • BigQuery ML – create easily your machine learning models using SQL

  • Making a time series prediction using BigQuery ML

  • Visualise data in Data Studio 

  • Export your data into Jupyter Notebook and Python using Google Collaboratory

This course is not supposed to master your SQL skills. Instead, I will take you through SQL basics and uncover to you the potential of BigQuery. In this class, I will take care that you know what BigQuery is, how you can get in and out your data, what are the most interesting features of BigQuery (BigQuery machine learning, Partitioning, Clustering, Nested fields...) and how you can use the advantage of them.

The best way how to get started with Google BigQuery in 2021. All the concepts and features I am showing in the UI are completely up to date. I will be happy to answer any questions.


Who this course is for:

  • Beginner data scientists
  • Geeks interested in Google Cloud
  • Web or marketing analysts that want to extend their data skills

Instructor

Lukas Vozda
Head of Analytics, Proficio
Lukas Vozda
  • 4.1 Instructor Rating
  • 22 Reviews
  • 74 Students
  • 1 Course

I have been working for 5 years as a teamleader of data team at Proficio company.

During that time, I've had an opportunity to work on several ecommerce projects and crystalised my analytical knowledge.

Using Google Cloud and BigQuery became my daily passion so I decided to share it with others here on Udemy.

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