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Overview With the ever-increasing demand for Google Data Studio in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Google Data Studio may be. Learning about Google Data Studio or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Google Data Studio . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Google Data Studio is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Google Data Studio course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Google Data Studio course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Google Data Studio course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Google Data Studio , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Google Data Studio , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Google Data Studio , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Google Data Studio course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. Course Curriculum Module 01 Introduction to Google Data Studio Introduction to Google Data Studio 00:00 Module 02 Why Use Google Data Studio Over Others Why Use Google Data Studio Over Others 00:00 Module 03 How to Use Google Data Studio How to Use Google Data Studio 00:00 Module 04 Dashboard In Google Data Studio Dashboard In Google Data Studio 00:00 Module 05 How to Create Report In Google Data Studio How to Create Report In Google Data Studio 00:00 Module 06 Additional Features in Google Data Studio Additional Features in Google Data Studio 00:00 Module 07 Google Data Studio Calculated Formula and Functions Google Data Studio Calculated Formula and Functions 00:00 Module 08 Google Data Studio Data Blending and Sharing Reports Google Data Studio Data Blending and Sharing Reports 00:00 Module 09 Ways to Share Google Data Studio Reports Ways to Share Google Data Studio Reports 00:00
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Course Overview: According to the World Economic Forum, data analysts will be among the most in-demand professions by 2025. This Basic Google Data Studio course takes you on an enlightening journey, illuminating the intricate world of Google Data Studio from the ground up.The Basic Google Data Studio course is your stepping stone into data visualisation, geo-visualization, and in-depth socio-economic analysis. With four comprehensive modules, this curriculum is crafted to impart the foundational principles and techniques of Google Data Studio, ensuring learners possess the proficiency to translate raw data into meaningful insights.Enrol Today and Start Learning! Key Features of the Course: The Basic Google Data Studio course boasts an array of appealing features, including a CPD certificate upon completion, marking your journey into mastering Google Data Studio. 24/7 Learning Assistance ensures you can absorb the course material at your own pace, whenever it suits you best. Expect exciting learning materials that make mastering data visualisation a stimulating and enjoyable endeavour. Who is This Course For? This Basic Google Data Studio course is designed for anyone inclined towards data and interested in visual storytelling. Whether you're a business owner looking to make informed decisions, a student eyeing a future in data analysis, or a data enthusiast, this course could be the perfect fit. What You Will Learn: Introduction to Google Data Studio and its features. Navigation and interface overview of Google Data Studio. Creating reports using different data sources. Converting data into visually appealing graphs and charts. Exploring geographic data visualisation techniques. Uncovering hidden geographic trends through data visualisation. Applying the learned skills to real-world socio-economic case studies. Why Enrol in This Course: This Basic Google Data Studio course consistently receives top reviews from its participants. Recently updated with the latest trends and practices in data visualisation, this course ensures you stay on top of industry shifts. By enrolling in this course, you will develop indispensable skills in data analysis and visual storytelling. Requirements: This course requires a fundamental understanding of data analysis concepts. Internet access is required to practise Google Data Studio and access course materials. Career Path: Upon completing this Basic Google Data Studio course, you can look forward to opportunities in various data-focused professions. Such as Data Analyst Business Intelligence Developer Marketing Analyst SEO Specialist Data Scientist Data Visualisation Specialist Report Analyst In the UK, these roles offer attractive salary packages ranging from £25,000 for entry-level positions to over £60,000+ for more advanced roles. Certification: Upon successful completion of the Basic Google Data Studio course, you will be awarded a CPD certificate as proof of your proficiency in Google Data Studio. Course Curriculum 1 sections • 4 lectures • 02:41:00 total length •Module 01: Introduction to GDS: 00:36:00 •Module 02: Data Visualization: 01:29:00 •Module 03: Geo-visualization: 00:16:00 •Module 04: A Socio-Economic Case Study: 00:20:00
Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants will get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure,including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) Getting Started with Google Cloud Identify the purpose of projects on Google Cloud Platform. Understand how AWS?s resource hierarchy differs from Google Cloud?s. Understand the purpose of and use cases for Identity and Access Management. Understand how AWS IAM differs from Google Cloud IAM. List the methods of interacting with Google Cloud Platform. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Understand how Amazon VPC differs from Google VPC. Understand the similarities and differences between Amazon EC2 and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS. Deploy applications using Google Compute Engine. Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage,Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage. Compare Google Cloud?s managed database services with Amazon RDS and Amazon Aurora. Learn how to choose among the various storage options on Google Cloud Platform. Load data from Cloud Storage into BigQuery. Perform a query on the data in BigQuery. Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Amazon Elastic Beanstalk. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Cloud Deployment Manager differs from AWS CloudFormation. Understand the purpose of integrated monitoring, alerting, and debugging. Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from AWS Data Lake. Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from AWS's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data. Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from AWS to Google Cloud. Additional course details: Nexus Humans Google Cloud Fundamentals for AWS Professionals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Google Cloud Fundamentals for AWS Professionals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Register on the Data Engineering with Google BigQuery & Google Cloud today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Data Engineering with Google BigQuery & Google Cloud is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Data Engineering with Google BigQuery & Google Cloud Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Data Engineering with Google BigQuery & Google Cloud, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Introduction Module 01: Welcome to This Course 00:01:00 Module 02: How to Get Maximum Value from This Course 00:06:00 Module 03: Course Structure & Coverage 00:02:00 Module 04: Technology in This Course 00:02:00 Unit 02: Introducing Data Warehouse & BigQuery Module 01: Data Warehouse 00:07:00 Module 02: Start With BigQuery 00:05:00 Module 03: BigQuery Web User Interface 00:04:00 Unit 03: First Exploration Module 01: First Data 00:04:00 Module 02: Basic Exploration 00:16:00 Module 03: Functions 00:14:00 Module 04: Common Data Types 00:07:00 Module 05: Different Query 00:01:00 Module 06: Exploring Common Data Types 00:25:00 Module 07: Converting Data Types 00:07:00 Unit 04: Data Flow Basic Module 01: Data Quality 00:06:00 Module 02: Clean & Transform 00:13:00 Module 03: Store Data 00:06:00 Module 04: Upgrading From Sandbox Account 00:01:00 Module 05: Clean & Transform With Dataprep 00:25:00 Module 06: Scheduled Query 00:04:00 Module 07: Analyze Data 00:05:00 Module 08: Data Visualization 00:06:00 Unit 08: Intermediate Query Module 01: Essential BigQuery 00:15:00 Module 02: Load Data into BigQuery (Part 1) - The Basic 00:36:00 Module 03: Tip: Mock Data 00:01:00 Module 04: Load Data into BigQuery (Part 2) - Handling Errors 00:22:00 Module 05: Load Data into BigQuery (Part 3) - Efficient Load 00:14:00 Module 06: Load Data into BigQuery (Part 4) - From Your Data to BigQuery 00:23:00 Module 07: Load Data into BigQuery (Part 5) - In Microservice Architecture 00:20:00 Module 08: Tip: Message Broker Overview 00:08:00 Module 09: Load Data into BigQuery (Part 6) - Recurring Load 00:12:00 Unit 05: Diving into BigQuery Module 01: BigQuery View 00:06:00 Unit 06: Virtual Data using View Module 01: What We Will Learn 00:01:00 Module 02: Google Sheets & BigQuery 00:10:00 Module 03: Google Data Studio 00:13:00 Unit 07: Data Visualization Module 01: Using Join - Theory 00:04:00 Module 02: Using Join - Hands On 00:16:00 Module 03: Union & Intersect 00:06:00 Module 04: Basic Statistical Functions 00:05:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
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