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What should I choose to be a data scientist?

I am really much interested in data science and machine modeling things. so which course should i study and which universities provide bachelor's degree in data science?

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Nipa’s Answer

Hey Bisika, it's fantastic to hear about your interest in data science and machine learning! IBM offers a wealth of excellent courses on these subjects. I strongly suggest you check out https://sb-auth.skillsbuild.org/. It's a great platform to expand your knowledge and earn valuable credentials along the way. Best of luck on your learning journey!
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Daren’s Answer

Hi Bisika,

I've noticed that data scientists in the industry tend to also do advanced degrees (masters/PhDs) and come from generally technical backgrounds so they study Computer Science or Business Analytics or the equivalent. It'd be great to get involved with any data science research projects, even starting in high school, and getting familiar with different tools/technologies/programming languages. For instance, R, python, SQL, Hadoop, etc.
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Duncan’s Answer

Hi Bisika!

While you're in high school/secondary school definitely pay attention to your math classes as they are the foundation to data science principles.

I'd look at searching Google for "Universities with B.S. in Data Science," or Computer Science as both can be ultimately helpful in a career in Data Science.

Good luck Bisika!
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Yutong’s Answer

Hi Bisika,

As others may have mentioned, statistics and computer science courses will lay a solid foundation for becoming a data scientist.
On top of that, I would like to add that it's also equally important to apply what you've learned from the courses to real projects.

Aside from building powerful models, understanding the data and having domain-related knowledge is also necessary. For example, I had an internship experience in the consumer goods industry. During that internship, I was tasked to leverage the data for growing barley to help provide insights on how to help farmers improve annual yields. Therefore, it is not just about building the model; it is more about understanding how the data can tell the story of the barley, and features from the data can be leveraged to predict metrics of interest.

Best of luck!
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Chee’s Answer

Hi Bisika,

Excited to hear that you're interested in the field of data science.
Personally, I found mathematics, statistics and computer science courses in universities are a great way to get you started in the field of data science, even if the University doesn't offer a degree in data science. Relatedly, there are many (free) online resources such as Coursera.org which offers great introductory/intermediate level courses in data science.
Hope this helps!
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Charles’s Answer

Hello Bisika!

For Data Science and Machine Learning, a Master's degree is almost a requirement to get your foot in the door. For undergraduate degrees, most folks seem to go with either Mathematics or Computer Science. Once that's completed, there's a large number of online Master's programs specifically in Data Science and Machine Learning that are excellent and affordable (Georgia Tech OMSCS program and University of Austin being two of the better ones).

Wish you the best of luck!
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Biju’s Answer

If you are interested to become a data scientist, start with the basics like variables, data types and basic level statistical analysis. once you are comfortable, move to complex analysis, probability, distributions, and hypothesis testing. They're the building blocks of data analysis.
Once you've got those down, try to explore data cleaning, learn how to handle missing values, outliers, and inconsistencies. Be familiar with Data Visualization tools.

To get in to the next level, start exploring machine learning techniques such as supervised learning ( Train models on labeled data to make predictions) and Unsupervised Learning: (Identify patterns in unlabeled data) . If you are not familiar with programming, I would recommend to learn Python which is critical in DS and AI.

I'm not recommending any specific courses or books, as there is a vast amount of resources available online on the mentioned topic. However, feel free to reach out if you need any specific recommendations.
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