BigQuery – Khrystyna Grynko

Description

Unlock exclusive learning opportunities with the BigQuery – Khrystyna Grynko course at esys[GB]. Explore expert insights, advanced techniques, and practical applications from world-renowned instructors in your chosen field. Empower your growth and career with our curated collection of over 70,000 courses from top authors such as John Overdurf, Conor Harris, Tony Robbins, Dr. Joe Dispenza, and more.

Become great at BigQuery

Learn to automate insightful reports with Google’s lightning-fast analytics data warehouse.

In a world that increasingly rewards marketers who can turn data into insight…

…learning BigQuery opens a world of possibilities for you and your team.

Pouring hours into painstaking manual reports? Trying to analyze data that lives in different places?

After taking this course, you’ll be able to automate your reports and reclaim hours of your time.

And since BigQuery makes it easy to get all your data in one place you’ll be able to deliver fascinating insights and ideal solutions that will impress your stakeholders.

Affordable, approachable and lightening-fast, BigQuery is the ideal tool for non-technical and technical marketers alike.

We’ll start with the very basics, so don’t worry if you’ve never typed a line of SQL, the language you’ll use with BigQuery.

By the end, you’ll be able to connect and analyze huge datasets quickly. So you can produce valuable insights for your stakeholders on demand.

Get BigQuery – Khrystyna Grynko, Only Price $119

Introduction

After taking this course, you’ll…

• Understand the possibilities and limitations of Google BigQuery — so you know the exact benefits you and your team should expect
• Define and build your data structure schema and create your BigQuery datasets, tables, views and queries
• Know the best ways to import your data into BigQuery for every situation
• Uncover unique insights from Google Analytics by analyzing your data with BigQuery
• Be able to build powerful dashboards in Google Data Studio and detailed reports in Google Sheets

Make your analysis easier, faster and more impactful

It’s tough to analyze datasets that live in different places.

BigQuery helps you organize your marketing analytics by connecting all your data sources, such as your CRM, Google Analytics and spreadsheets. Which makes it dramatically easier to perform a comprehensive analysis.

Working with huge datasets?

Short on time?

No problem.

BigQuery works fast — even if you’re working with terabytes of data and millions of rows. So you can work in nearly real time, get work done quicker and keep pace with your market.

In this course, you’ll also learn how to build powerful dashboards that give you and your stakeholders valuable insights.

By the end of the course, you’ll know exactly how to use BigQuery to make your work easier, faster and more impactful.

Develop your BigQuery skills in just 6 lessons

• Get your data into BigQuery with the ideal import options for every situation
• Work with your data in BigQuery and learn basic SQL language
• Query and analyze your Google Analytics data with BigQuery
• Build automated reports and dashboards using your BigQuery data

This course starts with the very basics: how to explore BigQuery without entering your credit card.

But by the end, you’ll be ready to start your first BigQuery project — from importing data to building powerful automated reports and dashboards.

This course is essential for you if …

• You want to analyze all your data in one place.
• You’re tired of spending time manually creating your marketing reports and would like to automate them.
• You’re a marketer or an analyst who wants to empower your company to make data-driven decisions.

This course is NOT for you if…

• You don’t have time to analyze your data. This course is not for you if you won’t be able to use BigQuery to at least 50% of its possibilities.
• You already have several data consolidation and visualisation tools at your company. Try to use what you already have to its full potential before trying new tools.
• You don’t have access to a developer to automate file-sending to Google Storage and a Data Protection Officer to accept to send and store the data in Google Cloud.

Skills you should have before taking this course

This course will teach the basics of the Google Cloud Platform and Google BigQuery, and prepare you to start your first project.

You don’t need to know any SQL to take this course. If you want to go even further with BigQuery, you’ll want to expand your SQL knowledge so you can retrieve very specific data through more advanced queries.

Get BigQuery – Khrystyna Grynko, Only Price $119

Your full course curriculum

BIGQUERY

1. Introduction to the Google Cloud Platform and Google BigQuery

Start exploring Google BigQuery (without entering your credit card), using SandBox and public datasets. And learn how to build your data schema to prepare your own BigQuery data structure.

Topics covered:

• Examine the free BigQuery trainings available through Google Cloud
• Learn to use free BigQuery features for your SQL and data management skills
• Build your own data structure for your future BigQuery data warehouse

2. Get your data into BigQuery

Learn how to start working with your own data in BigQuery. Discover different data import options and supplementary Google Cloud tools like functions, dataflow, dataprep and data transfer.

Topics covered:

• Learn your options for importing data into BigQuery
• Choose the best data import option
• Review data transfer, dataflow and dataprep tools

3. Work with data in BigQuery

Discover how to work with your data in BigQuery. You’ll learn to use SQL language to create, register and schedule your queries, views and new tables.

Topics covered:

• Discover exactly how you can work with your data in BigQuery
• Learn basic SQL language by creating and testing your queries
• Prepare data for your reports and analysis using queries and views

4. Query and analyze your Google Analytics data with BigQuery

Learn how to analyze your Google Analytics data in BigQuery and how to work with partitioned tables and nested fields.

Topics covered:

• Learn how Google Analytics data is structured
• See how to work with partitioned tables and nested fields
• Practice querying your Google Analytics data

5. Build automated reports and dashboards using your BigQuery data

See how to create automated reports using BigQuery data with Google Sheets and Google Data Studio.

Topics covered:

• Build your reports in Google Sheets
• Build your reports in Google Data Studio
• Connect BigQuery to non-Google data visualisation tools

6. Parting thoughts

Explore the possibilities BigQuery opens for your company. Discover use cases and best practices.

Topics covered:

• Get inspired by BigQuery use cases
• Discover BigQuery best practices
• Improve your knowledge with useful resources

Get BigQuery – Khrystyna Grynko, Only Price $119

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