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Google BigQuery for Programmers: Analyze & Visualize

سرفصل های دوره

Advance your career with Google BigQuery: Become a sought-after data analyst with in-demand skills


1 - Welcome to the Course
  • 1 - Welcome to the Course
  • 2 - Creating GCP Account

  • 2 - Introduction to BigQuery
  • 3 - Introduction
  • 4 - Tables Structure
  • 5 - Slots
  • 6 - Data Structure
  • 7 - Demo create a Data Set
  • 8 - Create Empty Table
  • 9 - Create Table from a Query
  • 10 - Create Table from Source Data
  • 11 - Exercise 1 Create Tables
  • 11 - Exercise 1 Create Tablespdf.txt
  • 11 - natality2020csv.txt
  • 12 - Exercise 1 Solution

  • 3 - SQL
  • 13 - Introduction to SQL
  • 14 - The Select Statement
  • 15 - Join
  • 16 - Aggregate Functions
  • 17 - Group By
  • 18 - Exercise 2 SQL Queries
  • 18 - Exercise 2 SQL Queriespdf.txt
  • 19 - Exercise 2 Solution

  • 4 - Querying Data in BigQuery
  • 20 - Section overview
  • 21 - Dataset Overview
  • 21 - heart2020csv.txt
  • 22 - Run Query
  • 23 - More Queries
  • 24 - Union Queries
  • 25 - Generating Codes Table
  • 25 - Source code Querying Data in BigQuery Generating Codes Table.txt
  • 26 - Exercise 3 Qurying in BigQuery
  • 26 - Exercise 3 Qurying in BigQuerypdf.txt
  • 27 - Exercise 3 Solution
  • 27 - Source code Querying Data in BigQuery Exercise 3 Solution.txt

  • 5 - Advanced Features
  • 28 - Normallization
  • 29 - Nested and Repeated Fields
  • 30 - Creating Tables with Nested Values
  • 30 - Source code Advanced Features Creating Tables with Nested Values.txt
  • 31 - Querying Nested and Repeated Fields
  • 32 - Partitioning
  • 33 - Creating Partitioned Table
  • 34 - Clustering
  • 35 - Exercise 4 Nested and repeated Fields
  • 35 - Exercise 4 Nested and repeated Fieldspdf.txt
  • 35 - Source code Advanced Features Exercise 4 Nested and repeated Fields.txt

  • 6 - Data Visualization
  • 36 - Introduction to Data Visuallization
  • 37 - Open Looker Studio
  • 37 - PupilsGradescsv.txt
  • 38 - Looker Studio UI
  • 39 - Scoreboard
  • 40 - Pie and Line Charts
  • 41 - Calculated Fields
  • 42 - Bar Chart
  • 43 - Box Plot
  • 44 - Exercise 5 Visualizing Data
  • 44 - Exercise 5 Visualizing Datapdf.txt
  • 44 - natality2020csv.txt

  • 7 - Data Cleaning and Preperation
  • 45 - Intro to data preperation
  • 46 - Data Cleaning Challenges
  • 47 - Dataset Overview
  • 48 - Deleteing Columns
  • 49 - Removing Duplications
  • 50 - Remove Null Values
  • 51 - Categorize Strings
  • 52 - Visualizing the Data
  • 53 - Removing Outliers
  • 54 - Recap
  • 54 - Source code Data Cleaning and Preperation Recap.txt
  • 54 - UsedCarsCleancsv.txt
  • 55 - Exercise 6 Cleaning Data
  • 55 - Exercise 6 Data Preperationpdf.txt

  • 8 - Machine Learning with BigQuery
  • 56 - Introduction to Machine Learning
  • 57 - Linear Regression
  • 58 - Create Model
  • 59 - Evaluate Model
  • 60 - Running Evaluation in Bigquery
  • 61 - Making Predictions
  • 62 - Exercise 7 Create a Machine Learning Model
  • 62 - Exercise 7 MLpdf.txt

  • 9 - Course Summary
  • 63 - Course Summary

  • 10 - Extra Information Source code and other stuff
  • 64 - Source Codes.html
  • 65 - Bonus Lecture and Information
  • 65 - Free-Course-and-Programming-Guide.pdf
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