Write your awesome label here.

🎓 Certification Included 🎓 

Upon completion of project material

Prerequisites:

🤩 Even if you lack experience in any of the areas below, this project provides the necessary tools and resources to learn and fill the gap.

  • Python and Pandas programming skills: Basic to intermediate knowledge of Python and familiarity with the Pandas library for data manipulation.

  • Google Cloud Platform account: Set up a free trial on Google Cloud Platform (GCP) to access various services used in the project.

  • Ready to learn: No matter your current skill level, this project is designed to help you succeed. Come eager to learn and ready to tackle new challenges!

Data & Cloud Engineering Mini-Project

Build Your First Data Pipeline on Google Cloud Platform

Data & Cloud Engineering Project #1

Build a modern data pipeline on Google Cloud Platform from scratch. This project will provide you with the skills to automate the extraction, transformation, and storage of data using advanced Cloud technologies.
Write your awesome label here.

What you will learn:

What you will learn:

  • Extract data from public APIs: Utilise Python to fetch data from public APIs, which is crucial for many data-driven applications.
  • Transform data with Python: Utilize libraries like Pandas to clean and structure raw data, preparing it for storage and analysis.
  • Deploy and manage Data Pipeline: Deploy your data pipeline using Google Cloud services such as Cloud Functions, and BigQuery.
  • Automate data workflows: Leverage Cloud Scheduler to automate the daily execution of your data pipeline.

⏰ Estimated Completion Time:

  • For Beginners (1+ year of programming experience with Python): 4-6 hours                

  • For Experienced Data/Software Professionals (1+ years of professional experience with Python or having a CS degree): 2-3 hours

  • Extract data from public APIs: Utilise Python to fetch data from public APIs, which is crucial for many data-driven applications.
  • Transform data with Python: Utilize libraries like Pandas to clean and structure raw data, preparing it for storage and analysis.
  • Deploy and manage Data Pipeline: Deploy your data pipeline using Google Cloud services such as Cloud Storage, Cloud Functions, and BigQuery.
  • Automate data workflows: Leverage Cloud Scheduler to automate the daily execution of your data pipeline.
  • Create Interactive Visualizations: Use Looker Studio to create dynamic dashboards that visually represent your data insights.
  • Prepare for interviews: Gain valuable insights on presenting this project to potential employers effectively and handling common interview questions 

Prerequisites:

  • Python and Pandas programming skills: Basic to intermediate knowledge of Python and familiarity with the Pandas library for data manipulation.

  • Google Cloud Platform account: Set up a free trial on Google Cloud Platform (GCP) to access various services used in the project.

  • SQL and relational databases: Basic familiarity with SQL and how relational databases work will help you understand data storage and querying processes.

🤩 Even if you lack experience in any of the above areas, this project provides the necessary resources to learn and fill the gap.

🎓 Certification Included 🎓 

Upon completion of project material

Data & Cloud Engineering Mini-Project

Build Your First Data Pipeline on Google Cloud Platform

Build a modern data pipeline on Google Cloud Platform from scratch. This project will provide you with the skills to automate the extraction, transformation, and storage of data using on-demand Cloud technologies.
Write your awesome label here.

What you will learn:

  • Extract data from public APIs: Utilise Python to fetch data from public APIs, which is crucial for many data-driven applications.
  • Transform data with Python: Utilize libraries like Pandas to clean and structure raw data, preparing it for storage and analysis.
  • Deploy and manage Data Pipeline: Deploy your data pipeline using Google Cloud services such as Cloud Storage, Cloud Functions, and BigQuery.
  • Automate data workflows: Leverage Cloud Scheduler to automate the daily execution of your data pipeline.

Prerequisites:

🤩 Even if you lack experience in any of the below areas, this project provides the necessary resources to learn and fill the gap.

  • Python and Pandas programming skills: Basic to intermediate knowledge of Python and familiarity with the Pandas library for data manipulation.

  • Google Cloud Platform account: Set up a free trial on Google Cloud Platform (GCP) to access various services used in the project.

  • Ready to learn: No matter your current skill level, this project is designed to help you succeed. Come eager to learn and ready to tackle new challenges!

⏰ Estimated Completion Time:

  • For Beginners (6+ months into programming): 4-6 hours.          

  • For Experienced Data/Software Professionals (1+ years of professional experience with Python): 2-3 hours.

🎓 Certification Included 🎓 

Upon completion of project material

Data & Cloud Engineering Mini-Project

Build Your First Data Pipeline on Google Cloud Platform

Build a modern data pipeline on Google Cloud Platform from scratch. This project will provide you with the skills to automate the extraction, transformation, and storage of data using on-demand Cloud technologies.

Write your awesome label here.

What you will learn:

  • Extract data from public APIs: Utilise Python to fetch data from public APIs, which is crucial for many data-driven applications.

  • Transform data with Python: Utilize libraries like Pandas to clean and structure raw data, preparing it for storage and analysis.

  • Deploy and manage Data Pipeline: Deploy your data pipeline using Google Cloud services such as Cloud Storage, Cloud Functions, and BigQuery.

  • Automate data workflows: Leverage Cloud Scheduler to automate the daily execution of your data pipeline.

Prerequisites:
🤩 Even if you lack experience in any of the areas below, this project provides the necessary tools and resources to learn and fill the gap.

  • Python and Pandas programming skills: Basic to intermediate knowledge of Python and familiarity with the Pandas library for data manipulation.

  • Google Cloud Platform account: Set up a free trial on Google Cloud Platform (GCP) to access various services used in the project.

  • Ready to learn: No matter your current skill level, this project is designed to help you succeed. Come eager to learn and ready to tackle new challenges!

⏰ Estimated Completion Time:

  • For Beginners (6+ months into programming): 4-6 hours          

  • For Experienced Data/Software Professionals (1+ years of professional experience with Python): 2-3 hours

Data & Cloud Engineering Mini-Project

Build Your First Data Pipeline on Google Cloud Platform

Build a modern data pipeline on Google Cloud Platform from scratch. This project will provide you with the skills to automate the extraction, transformation, and storage of data using on-demand Cloud technologies.

Write your awesome label here.

What you will learn:

  • Extract data from public APIs: Utilise Python to fetch data from public APIs, which is crucial for many data-driven applications.

  • Transform data with Python: Utilize libraries like Pandas to clean and structure raw data, preparing it for storage and analysis.

  • Deploy and manage Data Pipeline: Deploy your data pipeline using Google Cloud services such as Cloud Storage, Cloud Functions, and BigQuery.

  • Automate data workflows: Leverage Cloud Scheduler to automate the daily execution of your data pipeline.

Prerequisites:

🤩 Even if you lack experience in any of the below areas, this project provides the necessary resources to learn and fill the gap.

  • Python and Pandas programming skills: Basic to intermediate knowledge of Python and familiarity with the Pandas library for data manipulation.

  • Ready to learn: No matter your current skill level, this project is designed to help you succeed. Come eager to learn and ready to tackle new challenges!

  • Google Cloud Platform account: Set up a free trial on Google Cloud Platform (GCP) to access various services used in the project.

⏰   Estimated Completion Time:

  • For Beginners (6+ months into programming): 4-6 hours.          

  • For Experienced Data/Software Professionals (1+ years of professional experience with Python): 2-3 hours.

🎓 Certification Included 🎓 

Upon completion of project material

💭 Who is this project for?

This project is perfect for many tech professionals, from beginners to experienced engineers looking to explore data and cloud technologies. Whether you're looking to add impressive projects to your portfolio or starting your first project in the cloud, this project is designed just for you:

#1 Aspiring 
Data Engineers & Python Developers

If you're starting your tech career or enhancing your programming skills, this project offers a standout opportunity. Most beginners don't know how to deploy end-to-end data pipeplines in a production environment. By building and managing a production-grade data pipelines on Google Cloud, you'll distinguish yourself from other candidates. This practical, scalable project experience can help you land your first full-time job.

#2 Machine Learning and Software Engineers

For Machine Learning and Software Engineers, this project is an excellent chance to expand your expertise into data collection and cloud infrastructure management. It's perfect for professionals eager to learn about data pipelines for machine learning models or those interested in automating web data interactions. This knowledge is crucial for integrating robust data handling into your development processes.

#3 Experienced Cloud and BI Engineers

If you're proficient in cloud technologies or business intelligence, this project will broaden your capabilities by introducing advanced data processing and automation in Google Cloud. Learning to implement data pipelines and task scheduling with Cloud Functions and Cloud Scheduler will enhance your role and pave the way for new career prospects.

#4 Career Switchers to Tech

If you're transitioning into tech from fields like finance, marketing, or science, this project is your gateway. It offers hands-on experience with coding, data handling, and cloud deployment, equipping you with the skills needed for tech roles. This project ensures you gain the confidence to tackle technical tasks and discussions, positioning you well for roles in data and cloud engineering.

💭 Who is this project for?

This project is perfect for many tech professionals, from beginners to experienced engineers looking to explore data and cloud technologies. Whether you're looking to add impressive projects to your portfolio or starting your first project in the cloud, this project is designed just for you:

#1 Aspiring 
Data Engineers & Python Developers

If you're starting your tech career or enhancing your programming skills, this project offers a standout opportunity. Most beginners don't know how to deploy end-to-end data pipeplines in a production environment. By building and managing a production-grade data pipelines on Google Cloud, you'll distinguish yourself from other candidates. This practical, scalable project experience can help you land your first full-time job.

#2 Machine Learning and Software Engineers

For Machine Learning and Software Engineers, this project is an excellent chance to expand your expertise into data collection and cloud infrastructure management. It's perfect for professionals eager to learn about data pipelines for machine learning models or those interested in automating web data interactions. This knowledge is crucial for integrating robust data handling into your development processes.

#3 Experienced Cloud and BI Engineers

If you're proficient in cloud technologies or business intelligence, this project will broaden your capabilities by introducing advanced data processing and automation in Google Cloud. Learning to implement automated data pipelines and task scheduling with Cloud Functions and Cloud Scheduler will enhance your role and pave the way for new career prospects.

#4 Career Switchers to Tech

If you're transitioning into tech from fields like finance, marketing, or science, this project is your gateway. It offers hands-on experience with coding, data handling, and cloud deployment, equipping you with the skills needed for tech roles. This project ensures you gain the confidence to tackle technical tasks and discussions, positioning you well for roles in data and cloud engineering.

WHAT YOU ARE GOING TO BUILD

Project architecture diagram:

   Project Workflow 

Here is the outline of the process you will follow to complete the project:
1. Getting Started:
Define the project, establish requirements, and devise an implementation strategy. Learn the essential steps for setting up and starting the project.

2. Local Setup
Before start working on the project, we help you install Python and Visual Studio Code to your computer.

3. Google Cloud Platform Introduction
Introduce Google Cloud Platform, focusing on setting up a free trial account and understanding its core functionalities.

4. Mini-Course: BigQuery Fundamentals
Get a brief introduction to BigQuery, the powerful Data Warehouse of Google Cloud Platform.

5. Mini-Course: API Fundamentals
Learn API fundamentals, what is an API, how data professionals uses APIs, how to get access and make API calls to extract data using Python.
6. Account Setup: Create an OpenWeather Account
Create a Free OpenWeather Account to get an API key and use the WeatherAPI to extract daily and forecasted weather data.

7. Write a Python script for ETL (Extract, Transform, Load)
Write Python code to extract weather data from Weather API, transform it into a Pandas DataFrame, and Load it to BigQuery.

8. Cloud Deployment:
Deploy the ETL Data Pipeline as a Cloud Function for automated execution.

9. Automation with Cloud Scheduler: 
Set up Cloud Scheduler to automate the scraping process, ensuring daily data updates without manual intervention.

10. Project Wrap-Up:
Review final steps and instructions for winding down the Google Cloud Platform Free Trial Account properly.

Take your career to the next level
with better job opportunities and skills!

😍 Limited time offer!

          Project Material         

We provide different types of content to serve learning purposes in the most efficient manner.

📝 Educational Text Material

We provide comprehensive step-by-step tutorials designed to guide you through building and deploying your project on the cloud. You'll receive detailed instructions for uploading your project to GitHub and gain access to common interview questions and answers related to the project. These resources are tailored to enhance your understanding and boost your job preparation effectively.

▶️ Comprehensive Video Lectures

For a more immersive learning experience, we offer video tutorials whenever needed. For instance, you can learn to build an interactive dashboard by closely following our step-by-step video lessons, making complex concepts easier to grasp and apply.

💯 Assessments & Quizes

Validate your grasp of the technologies and their strategic application with carefully designed assessments and quizzes integrated within the course structure.

🎓 Certificate of Completion

Upon successful completion of the course, you will be awarded a professional Certificate of Completion. Showcase your accomplishment on platforms like LinkedIn and other social networks.

         Project Material        

We provide different types of content to serve learning purposes in the most efficient manner.

📝 Educational Text Material

We provide comprehensive step-by-step tutorials designed to guide you through building and deploying your project on the cloud. You'll receive detailed instructions for uploading your project to GitHub and gain access to common interview questions and answers related to the project. These resources are tailored to enhance your understanding and boost your job preparation effectively.

▶️ Comprehensive Video Lectures

For a more immersive learning experience, we offer video tutorials whenever needed. For instance, you can learn to build an interactive dashboard by closely following our step-by-step video lessons, making complex concepts easier to grasp and apply.

💯 Assessments & Quizes

Validate your grasp of the technologies and their strategic application with carefully designed assessments and quizzes integrated within the course structure.

🎓 Certificate of Completion

Upon successful completion of the course, you will be awarded a professional Certificate of Completion. Showcase your accomplishment on platforms like LinkedIn and other social networks.

What Our Students Say ❤️

What Our Students Say ❤️

YOUR INSTRUCTOR

Mike Chionidis

Freelance Data & AI Engineer, specialized in Leading Teams and Building Products
About me

👋 I'm Mike, a Freelance Data & AI Engineer based in Greece. 


Throughout my career, I've worked with prominent clients like Publicis Groupe and delivered data products utilized by industry giants such as as Samsung, Three Mobile, and Western Union, and others. Within just two years of professional experience, I advanced to a Team Lead role, guiding a team of data professionals.

Previously, I've taught programming to university students to help them excel in their exams and assisted junior developers in kickstarting their careers.

My passion for sharing knowledge led to the establishment of DataProjects, with a clear purpose to help data enthusiasts secure their dream roles in the field. 

Let's embark on this learning adventure together, as we delve into the exciting world of data! 💫 
YOUR INSTRUCTOR

Mike Chionidis

Freelance Data Engineer, specialized in Leading Teams and Building Data Products
About me
👋 I'm Mike, a Freelance Data Engineer based in Greece. 

Throughout my career, I've worked with prominent clients like Publicis Groupe and delivered data products utilized by industry giants such as as Samsung, Three Mobile, and Western Union, and others. Within just two years of professional experience, I advanced to a Team Lead role, guiding a team of data professionals.

Previously, I've taught programming to university students to help them excel in their exams and assisted junior developers in kickstarting their careers.

My passion for sharing knowledge led to the establishment of DataProjects, with a clear purpose to help data enthusiasts secure their dream roles in the field. 

Let's embark on this learning adventure together, as we delve into the exciting world of data! 💫 
YOUR INSTRUCTOR

Mike Chionidis

Freelance Data & AI Engineer, specialized in Leading Teams and Building Products
About me
👋 I'm Mike, a Freelance Data & AI Engineer based in Greece. 

Throughout my career, I've worked with prominent clients like Publicis Groupe and delivered data products utilized by industry giants such as as Samsung, Three Mobile, and Western Union, and others. Within just two years of professional experience, I advanced to a Team Lead role, guiding a team of data professionals.

Previously, I've taught programming to university students to help them excel in their exams and assisted junior developers in kickstarting their careers.

My passion for sharing knowledge led to the establishment of DataProjects, with a clear purpose to help data enthusiasts secure their dream roles in the field. 

Let's embark on this learning adventure together, as we delve into the exciting world of data! 💫 
YOUR INSTRUCTOR

Mike Chionidis

Freelance Data & AI Engineer, specialized in Leading Teams and Building Products
About me
👋 I'm Mike, a Freelance Data & AI Engineer based in Greece. 

Throughout my career, I've worked with prominent clients like Publicis Groupe and delivered data products utilized by industry giants such as as Samsung, Three Mobile, and Western Union, and others. Within just two years of professional experience, I advanced to a Team Lead role, guiding a team of data professionals.

Previously, I've taught programming to university students to help them excel in their exams and assisted junior developers in kickstarting their careers.

My passion for sharing knowledge led to the establishment of DataProjects, with a clear purpose to help data enthusiasts secure their dream roles in the field. 

Let's embark on this learning adventure together, as we delve into the exciting world of data! 💫 

Frequently asked questions

1. How much Python and SQL knowledge is required?

A fundamental proficiency in Python, specifically with the Pandas library, is necessary. You should have experience working with Pandas DataFrames. In terms of SQL, a solid understanding of fundamental statements such as Select, From, Where, and Join, as well as familiarity with SQL tables, is recommended.

2. Will I need to subscribe to any Cloud services?

No, you won't need to pay for any Cloud subscriptions. Google Cloud offers all new users a $300 credit to use within their first 90 days. Simply create an account with your credit card, activate the trial, and follow the provided instructions to deactivate automated renewal, as demonstrated in the project videos.

3. How long will I have access to the project?

You will have access to the project and its materials for the duration of your subscription. This includes all future updates related to the project during your subscription period.

4. Do you offer trainings for professionals/businesses?

Yes, based on request, we offer professional training on Data/Cloud technologies. For inquiries regarding professional trainings, please reach out to us at info@dataprojects.io with your specific details, or using our Contact Form.

5. Have more questions?

For any additional inquiries or clarifications, feel free to contact us at info@dataprojects.io or using our Contact Form.

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