PET-Projects for Analysts

 

Why are pet projects important? Pet projects are personal projects that you create outside of work or study for practice and skill development. They allow you to reinforce knowledge and gain real-world experience that is hard to find in courses or theory. Employers value pet projects because they demonstrate your ability to solve problems in practice and show your interest in the profession.

  Do what EXACTLY you like

A pet project is also good because you choose what it will be about. The territory of the domain, the tasks that the project will solve on time, and even design solutions are all at your discretion. You decide for yourself how long you will study it, what the sequence of work will be and, in general, how much and when you expect it.

  Gain experience before landing your first commercial project job

Pet projects allow aspiring professionals to practice their skills, solve real-life problems, and find solutions. They help you understand how the development process works and give you the opportunity to try out different tools and technologies.

  Having a pet project helps prevent burnout

Last but not least, the reason we want to look at is preventing burnout. Just like pets, who simply by being in our lives reduce the level of stress in our lives, a pet project allows us to reduce the risk of professional burnout. 

How it works? It's simple: if you have a pet project, you choose the topic, technology, design and development speed. Freedom and the right to choose appear, which may be much less in the framework of working on a commercial project. Completing a pet project, even a small one, will bring a sense of pride and joy for your success. Positive emotions are another way to prevent burnout.

 

 Examples of pet projects for Analysts:

• Analyzing open data
• Web scraping
• Creating Telegram-bots
• Participating in hackathons and Kaggle competitions.

Projects can vary: from automating reports to creating machine models and data analytics. The important thing is to demonstrate that you are proficient with the necessary tools. Here is an example of idea for pet-project:

Analysis of Aviation Data

Aviation data is plentiful, which is why an aviation data analysis project is an excellent option. This specific one is also one of the ideal open-source data engineering projects for beginners since it relies on skills that can help those looking to launch their careers.

It teaches you how to get data from a streaming API. Additionally, it includes data cleansing, transformation, and visualization. There are also several technologies involved, making it an ideal way to boost fundamental skills using a real-world approach.

Skills and technologies used:

• Airline API
• NiFi
• AWS Redshift
• Sqoop
• Apache Hive
• Druid
• AWS Quicksight
• Data collection
• Data pipelines
• Kafka
• HDFS 
  

 

The key is to showcase your skills and complete the project. Choose a topic that interests you and start practicing!