Course Overview
We learn how to use the big data tools on Google Cloud to address the typical problems that data analysts encounter in this course. Along the way, you'll learn some SQL and gain a solid understanding of how to analyse and modify your datasets using BigQuery and Dataprep.
Here you can access the first course in the From Data to Insights with Google Cloud series. After completing this one, sign up for the course Creating New BigQuery Datasets and Visualizing Insights.
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Pre-requisites
We recommend participants have some experience with ANSI SQL.
Audience Profile
Professionals in data analysis, business analysis, and business intelligence Building scalable data solutions on Google Cloud will be a joint effort between Cloud Data Engineers and Data Analysts.
Learning Objectives
- BigQuery's open data sets can be queried for insights.
- Develop an automated data cleansing process that would export to BigQuery after evaluating the quality of a dataset.
- To generate marketing insights, write and troubleshoot SQL on a Google Analytics e-commerce dataset.
Content Outline
Learn this data analyst course series's courses, content, and technologies.
Recognize the fundamental ideas underpinning Google Cloud and how to use them for in-depth data analysis.
Learn what are the essential big data tools on Google Cloud that you will utilize to understand, prepare, and visualize data
Learn the fundamentals of SQL (Structured Query Language) and practise constructing queries in BigQuery to query your data.
Recognize how BigQuery's price works and how to effectively optimise your queries.
Understand the importance of creating high-quality datasets and gain knowledge about the tools that will help you transform your data
Summary of the course ley learning points
FAQs
A: You may analyse your data using a variety of analytics and business intelligence tools that interface with BigQuery, such as Looker Studio, in addition to performing queries in BigQuery. You may start Looker Studio right away from BigQuery in the Google Cloud dashboard after you've done a query.
A: A BigQuery table contains individual records organized in rows. Each paper is composed of columns (also called fields). Every table is defined by a schema that describes the column names, data types, and other information.
A: Google Standard SQL dialect
In addition to supporting Google Standard SQL, BigQuery also offers support for ancient SQL. Google Standard SQL should be used if you are new to BigQuery as it covers the most capabilities. For instance, only Google Standard SQL can implement capabilities like DDL and DML commands.
A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants who deliver training programs. Our trainers & consultants undergo a rigorous technical and behavioral interview and assessment process before they are onboarded in the company.
Our Technology experts/trainers & consultants carry deep-dive knowledge in the technical subject & are certified by the OEM.
Our training programs are practically oriented with 70% – 80% hands-on training technology tools. Our training program focuses on one-on-one interaction with each participant, the latest content in the curriculum, real-time projects, and case studies during the training program.
Our faculty will quickly provide you with the knowledge of each course from the fundamental level, and you are free to ask your doubts at any time from your respective faculty.
Our trainers have the patience and ability to explain complex concepts simplistically with depth and width of knowledge.
To ensure quality learning, we provide support sessions even after the training program.
A: To attend the training session, you should have operational Desktops or Laptops with the required specification and a good internet connection to access the labs.
A: We recommend you attend the live session to practice & clarify the doubts instantly and get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.
A: Radiant Techlearning has a data center containing a Virtual Training environment for participants’ hand-on-practice.
Participants can easily access these labs over Cloud with the help of a remote desktop connection.
Radiant virtual labs allow you to learn from anywhere in the world and in any time zone.
A: The learners will be enthralled as we engage them in the natural world and Oriented industry projects during the training program. These projects will improve your skills and knowledge, and you will gain a better experience. These real-time projects, will help you a lot in your future tasks and assignments.