HOT
blank

Google BigQuery for Programmers: Analyze & Visualize

Development

Rating4
Enroll Now

Google BigQuery for Programmers: Analyze & Visualize, available at $54.99, has an average rating of 3.95, with 65 lectures, based on 15 reviews, and has 252 subscribers.

You will learn about 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. This course is ideal for individuals who are 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. or 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. or 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. It is particularly useful for 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. or 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. or 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.

Enroll now: Google BigQuery for Programmers: Analyze & Visualize

Summary

Title: Google BigQuery for Programmers: Analyze & Visualize

Price: $54.99

Average Rating: 3.95

Number of Lectures: 65

Number of Published Lectures: 65

Number of Curriculum Items: 65

Number of Published Curriculum Objects: 65

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

  • 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.

Target Audiences

  • 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.

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!

Course Curriculum

Chapter 1: Welcome to the Course

Lecture 1: Welcome to the Course

Lecture 2: Creating GCP Account

Chapter 2: Introduction to BigQuery

Lecture 1: Introduction

Lecture 2: Tables Structure

Lecture 3: Slots

Lecture 4: Data Structure

Lecture 5: Demo – create a Data Set

Lecture 6: Create Empty Table

Lecture 7: Create Table from a Query

Lecture 8: Create Table from Source Data

Lecture 9: Exercise 1 – Create Tables

Lecture 10: Exercise 1 Solution

Chapter 3: SQL

Lecture 1: Introduction to SQL

Lecture 2: The Select Statement

Lecture 3: Join

Lecture 4: Aggregate Functions

Lecture 5: Group By

Lecture 6: Exercise 2 – SQL Queries

Lecture 7: Exercise 2 Solution

Chapter 4: Querying Data in BigQuery

Lecture 1: Section overview

Lecture 2: Dataset Overview

Lecture 3: Run Query

Lecture 4: More Queries

Lecture 5: Union Queries

Lecture 6: Generating Codes Table

Lecture 7: Exercise 3 – Qurying in BigQuery

Lecture 8: Exercise 3 Solution

Chapter 5: Advanced Features

Lecture 1: Normallization

Lecture 2: Nested and Repeated Fields

Lecture 3: Creating Tables with Nested Values

Lecture 4: Querying Nested and Repeated Fields

Lecture 5: Partitioning

Lecture 6: Creating Partitioned Table

Lecture 7: Clustering

Lecture 8: Exercise 4 – Nested and repeated Fields

Chapter 6: Data Visualization

Lecture 1: Introduction to Data Visuallization

Lecture 2: Open Looker Studio

Lecture 3: Looker Studio UI

Lecture 4: Scoreboard

Lecture 5: Pie and Line Charts

Lecture 6: Calculated Fields

Lecture 7: Bar Chart

Lecture 8: Box Plot

Lecture 9: Exercise 5 – Visualizing Data

Chapter 7: Data Cleaning and Preperation

Lecture 1: Intro to data preperation

Lecture 2: Data Cleaning Challenges

Lecture 3: Dataset Overview

Lecture 4: Deleteing Columns

Lecture 5: Removing Duplications

Lecture 6: Remove Null Values

Lecture 7: Categorize Strings

Lecture 8: Visualizing the Data

Lecture 9: Removing Outliers

Lecture 10: Recap

Lecture 11: Exercise 6 – Cleaning Data

Chapter 8: Machine Learning with BigQuery

Lecture 1: Introduction to Machine Learning

Lecture 2: Linear Regression

Lecture 3: Create Model

Lecture 4: Evaluate Model

Lecture 5: Running Evaluation in Bigquery

Lecture 6: Making Predictions

Lecture 7: Exercise 7 – Create a Machine Learning Model

Chapter 9: Course Summary

Lecture 1: Course Summary

Chapter 10: Extra Information – Source code, and other stuff

Lecture 1: Source Codes

Lecture 2: Bonus Lecture and Information

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 1 votes
  • 3 stars: 3 votes
  • 4 stars: 6 votes
  • 5 stars: 5 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

You may also like

Top 10 Mobile App Development Courses to Learn in December 2024

Top 10 Virtual Reality Courses to Learn in December 2024

Top 10 Augmented Reality Courses to Learn in December 2024