Free Download Google Bigquery For Programmers Analyze & VisualizePublished 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.29 GB | Duration: 4h 0m
Advance your career with Google BigQuery: Become a sought-after data analyst with in-demand skills
What you'll learn
Master BigQuery data analysis using SQL, manipulating large datasets with ease.
Create compelling data visualizations to effectively communicate insights
Integrate BigQuery into programming projects for data-driven applications.
Understand the principles of data warehousing and BigQuery's advantages.
Apply basic machine learning models to data for predictive analysis.
Gain hands-on experience with real-world datasets through projects.
Requirements
Basic SQL Knowledge: Understanding fundamental SQL concepts like SELECT, FROM, WHERE, JOIN, etc., is crucial to effectively query and manipulate data in BigQuery.
Active Google Cloud Platform (GCP) Account: Students need a GCP account to access BigQuery and follow along with the course.
Description
In today's digital world, data is overwhelming. Businesses and individuals alike collect vast amounts of information, but often struggle to extract meaningful insights. Raw data holds incredible potential, but without the right tools and expertise, it remains untapped.This comprehensive course empowers you to harness the power of Google Cloud Platform BigQuery. Learn to efficiently store massive datasets, perform complex analysis, create compelling visualizations, and even apply machine learning models. Transform your data into actionable strategies that give you a competitive edge.What you will learn in the course:Master Data Warehousing: Understand the principles and advantages of a modern data warehouse, and how BigQuery revolutionizes data storage.Unlock Data's Potential: Learn to look at your data as a goldmine of insights. Discover how to ask the right questions and extract patterns and trends.Extract Meaningful Insights: Develop expertise in data manipulation and analysis, empowering you to uncover hidden patterns and correlations.Visualize Your data: Translate complex data into visually stunning graphs, charts, and dashboards that communicate information effectively.Apply Machine Learning: Gain a practical understanding of how to build and apply machine learning models, enabling you to predict future outcomes.Detailed information.Introduction to BigQuery: Demystify data warehousing, explore BigQuery's interface, and learn how to set up your environment.Data Loading and Manipulation: Import data from various sources, clean and prepare it for analysis, and master SQL queries for data exploration.Advanced Analytics: Dive into statistical techniques, aggregations, and complex calculations to reveal deeper insights.Data Visualization Best Practices: Create impactful dashboards that tell compelling stories, using color, design, and interactivity.Machine Learning Fundamentals: Explore predictive modeling, understand common algorithms, and experiment with BigQuery ML capabilities.Real-World Projects: Apply your newfound skills through hands-on projects, working with real-life datasets.About Your Instructor:Shay Tavor is a highly qualified and experienced Google Cloud Platform (GCP) expert, holding certifications as an engineer, architect, and trainer. With over two years of expertise in cloud consulting and training, he brings real-world insights and proven teaching methods to his courses. Shay's passion for data analytics is evident, and he empowers students to discover the hidden potential within their datasets using the powerful tools available within GCP BigQuery.Ready to elevate your data analysis skills and unlock a world of exciting career opportunities? Enroll in our Google BigQuery course today and become a highly marketable data expert! Master the art of extracting actionable insights from massive datasets, create stunning visualizations that tell compelling data stories, and even apply machine learning to predict future outcomes. With hands-on projects and expert guidance from Shay Tavor, you'll gain in-demand skills that set you apart in the competitive job market. Don't miss out on this transformative opportunity – enroll now and start building a powerful data-driven future!
Overview
Section 1: Welcome to the Course
Lecture 1 Welcome to the Course
Lecture 2 Creating GCP Account
Section 2: Introduction to BigQuery
Lecture 3 Introduction
Lecture 4 Tables Structure
Lecture 5 Slots
Lecture 6 Data Structure
Lecture 7 Demo - create a Data Set
Lecture 8 Create Empty Table
Lecture 9 Create Table from a Query
Lecture 10 Create Table from Source Data
Lecture 11 Exercise 1 - Create Tables
Lecture 12 Exercise 1 Solution
Section 3: SQL
Lecture 13 Introduction to SQL
Lecture 14 The Select Statement
Lecture 15 Join
Lecture 16 Aggregate Functions
Lecture 17 Group By
Lecture 18 Exercise 2 - SQL Queries
Lecture 19 Exercise 2 Solution
Section 4: Querying Data in BigQuery
Lecture 20 Section overview
Lecture 21 Dataset Overview
Lecture 22 Run Query
Lecture 23 More Queries
Lecture 24 Union Queries
Lecture 25 Generating Codes Table
Lecture 26 Exercise 3 - Qurying in BigQuery
Lecture 27 Exercise 3 Solution
Section 5: Advanced Features
Lecture 28 Normallization
Lecture 29 Nested and Repeated Fields
Lecture 30 Creating Tables with Nested Values
Lecture 31 Querying Nested and Repeated Fields
Lecture 32 Partitioning
Lecture 33 Creating Partitioned Table
Lecture 34 Clustering
Lecture 35 Exercise 4 - Nested and repeated Fields
Section 6: Data Visualization
Lecture 36 Introduction to Data Visuallization
Lecture 37 Open Looker Studio
Lecture 38 Looker Studio UI
Lecture 39 Scoreboard
Lecture 40 Pie and Line Charts
Lecture 41 Calculated Fields
Lecture 42 Bar Chart
Lecture 43 Box Plot
Lecture 44 Exercise 5 - Visualizing Data
Section 7: Data Cleaning and Preperation
Lecture 45 Intro to data preperation
Lecture 46 Data Cleaning Challenges
Lecture 47 Dataset Overview
Lecture 48 Deleteing Columns
Lecture 49 Removing Duplications
Lecture 50 Remove Null Values
Lecture 51 Categorize Strings
Lecture 52 Visualizing the Data
Lecture 53 Removing Outliers
Lecture 54 Recap
Lecture 55 Exercise 6 - Cleaning Data
Section 8: Machine Learning with BigQuery
Lecture 56 Introduction to Machine Learning
Lecture 57 Linear Regression
Lecture 58 Create Model
Lecture 59 Evaluate Model
Lecture 60 Running Evaluation in Bigquery
Lecture 61 Making Predictions
Lecture 62 Exercise 7 - Create a Machine Learning Model
Section 9: Course Summary
Lecture 63 Course Summary
Section 10: Extra Information - Source code, and other stuff
Lecture 64 Source Codes
Lecture 65 Bonus Lecture and Information
A programmer ready to elevate your projects: You want to integrate robust data analysis, compelling visualizations, and even predictive capabilities into your applications. BigQuery offers the tools and scalability to make your projects truly data-driven.,A data analyst seeking efficiency and power: You work with large datasets and traditional tools are hindering your insights. You're eager to explore the speed, advanced analytics, and cloud-based scalability that BigQuery provides.,A business intelligence professional looking for an edge:. You want to go beyond basic reports and uncover deeper trends, create interactive dashboards, and confidently use data to drive strategic decisions.
Homepage
https://www.udemy.com/course/google-cloud-platform-big-query/
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