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    Home»Development»Beginner’s Guide to Cloud Data Analytics

    Beginner’s Guide to Cloud Data Analytics

    June 17, 2025

    Are you ready to transform your career and become a data-driven decision maker? We’re excited to announce that freeCodeCamp.org has just published a comprehensive Google Cloud Data Analytics course on our YouTube channel. The course was developed by Google Cloud and helps people earn the Google Cloud Data Analytics Certificate.

    Why Learn Data Analytics with Google Cloud?

    In today’s digital world, data is everywhere. Every business, nonprofit, and government agency relies on data to make informed decisions, improve efficiency, and create value. But turning raw numbers into actionable insights is a skill that sets you apart in the job market. As a Cloud Data Analyst, you’ll be able to unlock the stories hidden within massive datasets, helping organizations make smarter, faster decisions. This course is your launchpad into that world, offering a blend of expert instruction, hands-on labs, and real-world projects that will help you build a portfolio to impress employers.

    What’s Inside the Course?

    This course is a carefully curated program developed by Google Cloud, designed to take you from beginner to job-ready. You’ll learn technical skills like SQL, data visualization, and cloud storage. And you’ll also learn how to communicate your findings and drive business impact. The course is structured to help you build a portfolio of industry-relevant projects, so you can showcase your expertise to potential employers.

    Here’s what you’ll learn:

    1. Introduction to Data Analytics in Google Cloud
    Get a solid foundation in cloud data analysis. You’ll define the field, explore the roles and responsibilities of a cloud data analyst, and understand how data analytics drives business value. This module sets the stage for your journey, introducing you to the tools and concepts you’ll use throughout the program.

    2. Data Management and Storage in the Cloud
    Dive into how data is structured, organized, and stored in the cloud. You’ll get hands-on with data lakehouse architecture and tools like BigQuery, learning how to manage data efficiently and securely. This section is crucial for understanding how to handle large-scale datasets in a modern cloud environment.

    3. Data Transformation in the Cloud
    Follow the journey of data from collection to insight. You’ll learn to use SQL and other tools to clean, transform, and prepare data for analysis. By mastering data transformation, you’ll be able to turn messy, raw data into clean, usable information.

    4. The Power of Storytelling: How to Visualize Data in the Cloud
    Master the art of data visualization. This course teaches you how to turn complex data into clear, compelling stories using cloud-based visualization tools, making your insights accessible to any audience. You’ll learn the five key stages of visualizing data in the cloud, from planning to building impactful dashboards.

    5. Put It All Together: Prepare for a Cloud Data Analyst Job
    Apply everything you’ve learned in a capstone project that simulates real-world challenges. You’ll combine your skills in analysis, visualization, and communication to solve a comprehensive data problem, building a portfolio piece that demonstrates your ability to analyze, visualize, and communicate data insights.

    Learn by Doing

    The course is designed to be watched alongside the Google Cloud Skills Boost platform, where you’ll find interactive labs and practice environments. You get 35 free credits per month for labs, and if you want to move faster, you can pay for unlimited access. These labs give you the chance to practice your skills in real cloud environments, reinforcing your learning with practical experience. Complete the program and you’ll earn a Google Cloud Data Analytics Certificate.

    Start Your Journey Today

    Whether you’re just starting out or looking to advance your career, this course is for anyone who wants to harness the power of data. If you’re interested in technology, business, or problem-solving, this course will give you the tools you need to succeed in the fast-growing field of data analytics.

    Watch the full course on the freeCodeCamp.org YouTube channel and begin your journey into cloud data analytics (10-hour watch).

    Source: freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More 

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    Why Can’t I Locate Clickable Element in Choose File Keyword?

    April 3, 2025

    I am using Robot framework to automate a file upload to a webpage. I am using the Choose File keyword.
    Code notes: ${CONTINUE_BUTTON} is a button at the bottom of the screen, ensuring that the entire bottom of the webpage is visible. The Sleeps are there temporarily so that I know it’s not a timing issue and can watch the automation as it happens.
    ”’
    ${uploadFileButton} = xpath://*[@id=”67e21641-340b-4f15-94e2-e5ab7a8532a1″]/div/button
    ${testDoc} = C:UsersjasonbDocumentsDummyDocumentsTestDocument.pdf

    Scroll Element Into View ${CONTINUE_BUTTON}
    Sleep 10s
    Wait Until Element Is Visible ${uploadFileButton}
    Choose File ${uploadFileButton} ${testDoc}
    Sleep 10s

    ”’
    I ensured that the Xpath locator is the correct one by searching it in my inspect panel. In the failure screenshots, the button is visible.
    When I use the Wait Until Element Is Visible keyword, I get this error:
    ”’
    Element ‘xpath://*[@id=”67e21641-340b-4f15-94e2-e5ab7a8532a1″]/div/button’ not visible
    after 5 seconds.

    ”’
    When I don’t use the Wait Until Element is Visible keyword, I get this error:
    ”’
    Element with locator ‘xpath://*[@id=”67e21641-340b-4f15-94e2-e5ab7a8532a1″]/div/button’
    not found.

    ”’
    I also tried using a different element that is not the clickable part of the upload file button:
    ”’
    ${uploadFileButton} = xpath://*[@id=”67e21641-340b-4f15-94e2-e5ab7a8532a1″]/div/button

    ”’
    And got this error:
    ”’
    Element with locator ‘xpath://*[@id=”67e21641-340b-4f15-94e2-e5ab7a8532a1″]’ not
    interactable.

    ”’
    So it can see the non-clickable element, but not the clickable element just a few HTML lines down from it. What is happening here?

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