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I still remember sitting with my friend Rohan in a noisy Delhi cafe in 2018. He’d just quit his job in banking after doing an online Python course and a couple of Kaggle competitions. “I’m ready to become a data scientist,” he said, his eyes sparkling with excitement. Six months later he was burned out, […]<\/p>\n","protected":false},"author":2,"featured_media":46577,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[54],"tags":[205,1602,1603],"class_list":{"0":"post-46576","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science","8":"tag-data-science-career","9":"tag-data-science-roadmap-for-beginners","10":"tag-how-to-become-a-data-scientist"},"_links":{"self":[{"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/posts\/46576","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/comments?post=46576"}],"version-history":[{"count":1,"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/posts\/46576\/revisions"}],"predecessor-version":[{"id":46578,"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/posts\/46576\/revisions\/46578"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/media\/46577"}],"wp:attachment":[{"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/media?parent=46576"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/categories?post=46576"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gtracademy.org\/blog\/wp-json\/wp\/v2\/tags?post=46576"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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<\/figure>\n\n\n\n![<\/a>If you’re 25\u201340, you’re probably juggling a job, maybe a family, and dreaming about getting into data science. You’ve probably felt that same tug. The field seems to be such an incredibly lucrative and exciting space with new tools popping up every month. But the cold hard fact is that most beginners spend their first year learning the wrong things, in the wrong order.<\/p>\n\n\n\nWhat matters is not collecting certificates or becoming an expert in every new library. It’s about building a rock-solid foundation that enables you to solve real problems and stand out in interviews. In this post, I’ll walk you through exactly what you should learn first on your data science journey, why order matters, and how to avoid the common traps that derail most newcomers.<\/p>\n\n\n\n\n\nTable of Contents<\/p>\nToggle<\/span>](\"https:\/\/gtracademy.org\/blog\/wp-content\/uploads\/2026\/06\/What-Is-The-Difference-Between-ML-Vs-DL.webp\"){kind=link}