2 Hour Meta-Project: Project Manage Your Data Science Learning

Many of us are struggling to prioritize our learning as a working professional or aspiring data scientist. We’re told that we need to learn so many things that at times it can be overwhelming.

Many of us are struggling to prioritize our learning as a working professional or aspiring data scientist. We’re told that we need to learn so many things that at times it can be overwhelming. Recently, I’ve felt like there could be a better way to organize my own learning path as a data professional. This weekend, I decided to create and finish a meta-project to guide my own professional development journey. Luckily, I rediscovered the project management tool Monday.com to help me.

monday.com is a project management tool that enables organizations to manage tasks, projects, and teamwork.

I was introduced to Monday.com when I worked as a project manager in the civil engineering industry. We used it to track leads and keep tabs on our project portfolio’s performance. Whenever we would gain a new lead, we’d add it to our “Leads” dashboard. When we won a contract, we’d add it to the “Ongoing Projects” dashboard. Even our CEO used it to track monthly and quarterly sales performance. It didn’t occur to me until recently that I could use it to project manage my own data science journey.

Note: I am in no way affiliated with Monday.com or Udacity.com.

Here’s my own learning management board that I created in 1.5 hours.

This has helped me lay everything out that I want to learn, set hard deadlines for when I need to complete projects, and visually assess what’s a high priority.

You can also see a Kanban table here that is commonly used by project managers in software development.

product-management programming machine-learning data-science project-management

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.