How to know learn what can help me get a job ? What ability do companies need?

[secret-ZHENG]

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I am interested in being a programer. I watch many videos about learn coding. These confused me. I don't know to learn font, back or algorithm. C++, Java or python?
My background is that I have learned a little about python and C++. I am 26. I work in other areas and want to switch careers and enter the computer industry. Now I learn as Coding Interview University. But I am still confused.
People all say font is easier to begin. In my opinion, I interest in data analysis and ai. But I don''t know what is the fast way for me to get a job in Shanghai(China) or remote job to feed myself. And then I have ability to continue to delve deeper into learning.
Hope for ideas!

[hanshaze]

Hi sir.
I am willing to work with you long term, as a blockchain developer.
Please reach me out.
@hanshaze
thanks

[secret-ZHENG]

hello, what do you want to do? What will I do to work with you? Could we discuss this in detail?

[SametDulger]

I’ve been in a similar situation and I know how confusing it can be. Since you’re interested in data and AI, I think focusing on Python is a good choice. It’s widely used and easier to get started with.

You don’t need to worry about frontend if your goal is data. Learn Python well, explore libraries like Pandas and NumPy, and try small projects. Also, learning some SQL and basic stats will help you find a job faster.

Keep going. You’re not late at all. Just stay focused and take it step by step.

[secret-ZHENG]

Thanks for your words. It's helpful to me. Do you know what projects can be helpful for finding jobs? I am confused about what I should master? I see you are a full stack developer, would you mind share your ways to be clear and not confusing.

[SametDulger]

Hi! I’m glad my words helped you.

About projects that help you get a job:
Try to build simple but complete projects you can show to employers:

• A data analysis project using Python with libraries like Pandas and NumPy. You can analyze real datasets (from Kaggle or open data sources), create charts, and explain your insights.

• A small full stack web app like a to-do list or blog, using Python (Flask or Django) for backend and some basic frontend (HTML, CSS, JavaScript).

• A beginner machine learning project, like a basic prediction model with scikit-learn.

Put all your projects on GitHub and write clear README files explaining what you did.

What to focus on mastering:

• Basic programming concepts and algorithms.

• Python language fundamentals.

• Data analysis libraries (Pandas, NumPy).

• Web basics: HTML, CSS, JavaScript. If you want backend, learn Flask or Django.

• Basic SQL for working with databases.

• Practice simple algorithm problems to improve problem solving (LeetCode “Easy” problems are a good start).

How I approached learning as a full stack developer:

• I first learned the core web technologies and programming basics.

• Built small projects and shared them on GitHub.

• Continued learning through online courses and documentation.

• Practiced algorithms and data structures for coding interviews.

• Applied for jobs, internships, and freelance gigs to gain experience.

• Kept updating myself with new tools and frameworks.

I hope this helps! Feel free to ask if you want more tips or specific resources.