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Aisa confidence kaha se ata hai bhai
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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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Start with SQL - it’s much more friendly for a beginner. I am a big fan of signing up for Data Camp and going through their courses. once you learn sql and understand how to work with data, Data Camp has awesome python courses as well.
I think DataCamp is great for learning Python and SQL, can even take some courses that tailor more towards marketing analytics. Coursera also has some good courses from Google and IBM that will give you a certificate after completing their track.
Not sure if this is an unpopular opinion but I’d learn Data Viz tool (Power BI, Tableau), SQL and a cloud tool (Azure, AWS) to get started.
Data viz doesn’t need cert.
Azure / SQL - “Microsoft: Azure Data Fundamentals”
Oracle also has a good SQL cert program
Cisco Networking Academy’s Python Essentials 1 and 2 courses are great free resources to leverage when preparing for the PCAP and PCEP exams https://www.netacad.com/courses/programming/pcap-programming-essentials-python
Courses and certifications are utterly worthless, especially with ChatGPT.
The only way to differentiate yourself without fancy degrees (and even with fancy degrees) is to actually build stuff. Needs to be creative, interactive, online, ideally organized under a personal website which you also built. Show that you can do the end to end work, tell a story, and create a user experience.
Source: entry level interviews. Even Data Science masters degrees are worthless now, I interview so many candidates with these degrees and they have all the keywords on their resume, but they can’t actually code or think their way through solving a business problem. On the other hand, every candidate I’ve interviewed who had a nice personal website with well-thought personal projects has been excellent. So that’s what I look for.
Before someone says it, I am aware that you can apply to 10000 jobs and land one without taking my advice, but that’s a crap shoot. I’m giving you a recipe to stand out from the crowd, submit 10 applications to companies you actually want to work for, get 5 interviews and 5 offers.
Basically something with a story and motivation behind it. You were curious about X, noticed problem X, or had an idea X. To explore it, you collected and processed data Y (e.g., through web scraping, hitting an API, combining various public data sources), maybe created a model, and then created and deployed an interactive interface (e.g., dashboard, streamlit app) that allows someone to understand and explore the results. All of that packaged up with nice written overview and a code base with nice documentation.
A project like that shows all the skills and personal attributes I’d look for in a data scientists.