Introduction to Data Analytics on Google Cloud Training Course in Kazakhstan

This course is an introduction to data analytics on Google Cloud.

The course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing. It also introduces learners to Google Cloud's data analytics tools and services.

Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.

Prerequisites

Before starting this learning path, you should already have:

Basic familiarity with SQL
Basic understanding of data concepts such as data types (relational, non-relational) and storage (data lakes, data warehouses

Target audience

The target audience is aimed at introductory level data analysts.

We can organize this training at your preferred date and location.

What You Will Learn

By the end of this course, learners will be able to:

Describe the data analytics workflow on Google Cloud and summarize the different types of analytics.
Identify Google Cloud data analytics products and describe how each is used to work with data.
Describe data sources, data structures, and data storage options in Google Cloud.
Use BigQuery, Looker, and Looker Studio to answer data questions and influence business decisions

Training Outline

Understand the Data Analytics Lifecycle on Google Cloud

Detail and describe the data analytics workflow on Google Cloud.
Compare and contrast data sources and storage methods available in Google Cloud.
Compare how different data types can be used for data analytics.

Explore Data and Extract Insights by Using BigQuery

Describe BigQuery and the BigQuery solution architecture.
Derive insights from data by using BigQuery.
Use the BigQuery user interface to run basic queries.

Make Data-Driven Decisions by Using Looker

Manipulate a Looker Explore to answer data-driven questions.
Create a situation-appropriate visualization to highlight the answer for a datadriven question.
Choose between Looker and Looker Studio for data visualization and sharing.
Share visualizations with others.

Exams and Assessments

No formal examinations for this course. There will be a module review and summary following the practical hands-on lab, quiz and slide-deck deliveries. This will further enforce learning and support additional resource finds, for continued learning and development.

Hands-on Learning

Within this course there are opportunities for learners to engage in hands-on labs to support module learning.

In addition, each module will also have a quiz, to support knowledge capture.

Why Choose Us

Experience Introduction to Data Analytics on Google Cloud in Kazakhstan through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from Kazakhstan or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Introduction to Data Analytics on Google Cloud through face-to-face Classroom Based training in Kazakhstan. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Introduction to Data Analytics on Google Cloud in Kazakhstan as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Arrange the training in Kazakhstan or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Frequently asked questions about Introduction to Data Analytics on Google Cloud Training Course in Kazakhstan (FAQ)

This training is valuable for roles such as Data Analyst, Business Analyst, Data Engineer, and professionals working on cloud-based data projects, especially in organizations using Google Cloud.

This training provides a strong foundation in data analytics and Google Cloud. However, becoming an advanced data analyst typically requires additional skills such as SQL, Python, and advanced analytics techniques.

Yes, the training includes hands-on exercises using datasets on Google Cloud. Participants practice querying, processing, and analyzing data through real-world scenarios.

Cloud-based data analytics enables organizations to process large datasets efficiently and at scale. Google Cloud tools improve performance, scalability, and flexibility in data processing and analysis.

Participants gain the ability to analyze data, understand data workflows in cloud environments, and support business decisions with data insights. This is valuable for data-driven roles and projects.

The training covers services such as BigQuery, Cloud Storage, Dataflow, and other core data processing tools. Participants learn how to collect, store, process, and analyze data in Google Cloud.

No advanced technical knowledge is required. Basic computer skills and a general understanding of data concepts are sufficient. The course introduces data analytics and Google Cloud services from a foundational level.

This training is suitable for individuals who want to start a career in data analytics, business analysts, and professionals working with data who want to understand Google Cloud data solutions. It is accessible for both technical and non-technical participants.

Absolutely. We do not only host trainings at public centers; we can also conduct them directly at your premises across Kazakhstan. We can customize the curriculum to meet your team's specific needs and organize the session at your preferred location and date within Kazakhstan.

Yes, we prioritize location flexibility. We offer live-streaming (hybrid) support for most of our trainings, synchronized with the Kazakhstan time zone. If you are unable to visit our location, you can join our physical classroom setting interactively via our digital platforms and participate in hands-on workshops remotely from anywhere in Kazakhstan.

Introduction to Data Analytics on Google Cloud Training in Kazakhstan