Thoughts from the Final Week of Metis
So this is the final week of Metis and I’m busy working on the final project with crossword puzzles, but I also had some time to reflect of my journey so far.
I’ve put in a lot over these 12 weeks, worked really hard, learned a lot, and have some great projects to demonstrate. But at the same time I feel like I know less about data science today then when I did coming in. Sounds bad but it’s good. Here’s what I mean.
The More I Learn, the Less I Know
I mean that Metis has broaded my horizon of the data science field. There’s an expansion in the breadth of what I need to know. You may have seen these venn diagram and subway maps of data science skills.
The Venn Diagram that show data science as a intersection of some important areas
Metro map of the skills and tools that a data science will need
So just off the top of my head, I’ve identified these areas:
- Data structure
- SQL, NoSQL
- Hadoop: Hive, Pig, Spark, Scala
- Machine Learning
- Data Engineering
- Designing experiments
- Measuring effectiveness
- Visualization and story telling
- Presentation and communication
- Business perspective
There’s so much more I need to master!
But to me, this means a few things:
I’m humbled: When I started Metis, I thought knowing some machine learning, big data, some math and statistics and programming would be enough. And I was humbled. I had a lot more to learn.
I’m challenged: None of these areas are trivial. But I love learning and I love being challenged. I really enjoy figuring out and implementing new things. So even though 12 weeks is not nearly enough to understand everything, I will soon have the opportunity to digest everything at my own pace.
I’m excited: This is very exciting! I’m really passionate about data science. And I want to be able to pick up these new skills to solve problems.
I can be part of a growing field: I still believe that data science will continue to grow. And I’m joining it at a very exciting time! There’s a lot of opportunities to use data for business, but also to contribute to open source tools!
Where do I stand now?
After 12 weeks at Metis, I know I’m much stronger in programming. I understand and can utilize data structure and algorithms effectively, especially when it comes to large scalable data sets. I also learn how to deploy a full stack project in data science from database to front-end web app. And I learned the chops in visualizzation and presentation.
In the next few days, I’d like to put together a chart to visualize and quantify my skillsets.-->