Statistics reveal that 70% of individuals beginning their journey in data science turn to online resources. This figure comes from a recent analysis of entry-level data science learners. The data also shows a variety of paths into the field. Traditional education, such as degrees and electives, remains a popular choice. However, alternative education options like online courses and bootcamps are gaining traction. Job seekers in this field often have questions about resumes and career prospects. Elementary queries about where to start and what steps to take next are common among newcomers. For those entering or transitioning into data science, a wealth of learning resources exists. These include books, tutorials, and videos. As the field grows, the statistics highlight the diverse ways people are choosing to learn and advance in data science.
Splendor of SQL
@iam_Uchenna
·
Apr 17 An open-source Data Science repository to learn and apply towards solving real world problems.This is a shortcut path to start studying Data Science.Find everything you need here: https://github.com/academic/awesome-datascience…
Adekunle ejiwumi
@ejidekweb
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Feb 12 For tech newbies: Start by exploring different tech fields (web dev, data science, etc.) through free online resources. Identify what excites you. Then, choose a beginner-friendly course or bootcamp. No computer science background is required; passion and persistence are key.
ɴɪᴊɪɴ ᴊᴏʜɴʏ
@johnynijin
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Apr 16 If he had basics in computer programming, he could do some short-term certificate courses offline or online based on data science & ML with generative AI. If he hasn’t any basics, start with the AI beginners course focusing on programming & all other aspects.
Splendor of SQL
@iam_Uchenna
·
Jan 23 7 Free Kaggle Micro-Courses for Data Science Beginners with CertificationPythonhttps://kaggle.com/learn/pythonPandashttps://kaggle.com/learn/pandas
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