{"id":25343,"date":"2026-03-31T12:00:00","date_gmt":"2026-03-31T10:00:00","guid":{"rendered":"https:\/\/immune.institute\/?p=25343"},"modified":"2026-05-04T13:54:34","modified_gmt":"2026-05-04T11:54:34","slug":"como-elegir-una-carrera-tecnologica-desde-0","status":"publish","type":"post","link":"https:\/\/immune.institute\/en\/blog\/como-elegir-una-carrera-tecnologica-desde-0\/","title":{"rendered":"How to choose a career in technology from scratch if you don\u2019t know where to start"},"content":{"rendered":"<p class=\"wp-block-paragraph\">When we talk about a career in technology, the range of options is enormous, and it's entirely normal to find it hard to decide between one and another. The good news is that there are training courses like the <a href=\"https:\/\/immune.institute\/en\/?utm_term=immune%20data%20science&amp;utm_campaign=2506GENO_GO_BUS_ESP&amp;utm_source=adwords&amp;utm_medium=ppc&amp;hsa_acc=8660896980&amp;hsa_cam=22395371162&amp;hsa_grp=176064019903&amp;hsa_ad=787543034397&amp;hsa_src=g&amp;hsa_tgt=kwd-2270352532283&amp;hsa_kw=immune%20data%20science&amp;hsa_mt=p&amp;hsa_net=adwords&amp;hsa_ver=3&amp;gad_source=1&amp;gad_campaignid=22395371162&amp;gbraid=0AAAAAC-FN7stHh_fJkYU7mBYqdcHHwo8k&amp;gclid=CjwKCAjwspPOBhB9EiwATFbi5Bsvy28edQM5sDC8pmQf8G3f9y3_ioomhfHENYjAYthngVZJpoYvFxoC8b4QAvD_BwE\">Master of Artificial Intelligence<\/a> y <em><a href=\"https:\/\/www.ibm.com\/es-es\/think\/topics\/data-science\" target=\"_blank\" rel=\"noopener\">Data Science<\/a><\/em>, designed to meet growing demand by addressing areas such as engineering, analytics, science, and data management.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Find out what sparks your curiosity<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Before you start comparing, pause for a moment and ask yourself if there's a particular theme that appeals to you and whether you prefer solving practical problems or seeking unstated solutions. Then, do you see yourself analysing data, writing code, designing complex structures or working with other people?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Reflecting on what sparks your interest can help you filter without closing doors. It's not about choosing the \u201cdefinitive\u201d career immediately, but about giving yourself space to discover the areas that generate the most curiosity: artificial intelligence, software development, data analysis, cybersecurity, digital products... When something interests you, you investigate further.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Keep your learning style in mind<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Each person has a particular way of learning and not all of us solve problems the same way.<br>Consider how you approach things: are you more methodical or experimental; do you focus on solving practical problems or the theory behind them; or are you comfortable sharing ideas, analysing information, or thinking about technical solutions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Answering these questions will give you clues about your inclinations, for instance, a person with analytical thinking and patience to work paying attention to detail will usually be interested in areas related to predictive models, while someone focused on human interactions might concentrate on designing technological experiences.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Analyse technological trends<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Technology is advancing at breakneck speed: new tools, approaches, and needs are constantly emerging. Even if you don't know exactly what you'll be doing in 10 years, analysing trends helps to understand which areas are booming and what problems will need to be solved in the future.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You need to understand the direction in which the sector is heading so that you do not base your choice of career solely on current market demand. Whilst some people prefer to work in established fields with defined processes and immediate impact, others are more interested in being part of something that is still in the process of development.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Choose according to your lifestyle<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Imagine yourself in different scenarios: if you prefer to work with large companies that have many resources, start-ups, research projects, if you prefer to work on initiatives that improve people's lives or generate an economic impact, etc. Research all available options regarding working hours, flexibility, level of autonomy, client interaction, and the type of responsibility you are willing to take on.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ultimately, choosing one tech career over another doesn\u2019t just depend on the skills you acquire; you also need to think about how you want to live your day-to-day life and develop professionally within the tech sector. Certain areas may be a better fit for your lifestyle and personality.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Try things out before deciding on your career<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">You don\u2019t have to go in blind; even if you don\u2019t get to experience the 100% position without the proper training, you can test the waters by joining online communities, contributing to open-source initiatives, trying out simulations, or even spending time designing simple prototypes on your own.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Trying out different aspects of the sector beforehand will help you both identify your preferences and discover what you\u2019re best at and where you can improve. You\u2019ll have a more solid foundation on which to base future decisions, particularly if you\u2019re considering a specialisation. This preliminary step turns uncertainty into information.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Get ready for lifelong learning<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">It should be remembered that the technology sector requires adaptability, meaning a willingness to learn new skills regularly, or you run the risk of becoming obsolete immediately. We could say that maintaining curiosity is a requirement for this sector, as is being able to manage frustration and uncertainty given the constant evolution.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When you choose a career in technology, it is normal to come up against complex problems with no immediate solution; that is why resilience and a willingness to experiment are just as crucial as technical knowledge. This gives you the ability to turn obstacles into opportunities for growth and improvement throughout your career.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Explore career intersections<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Many technology careers are not limited to code or algorithms; they are closely linked to other disciplines: business, psychology, design, statistics, communication, education, sustainability\u2026 In these cases, your professional profile can become much more versatile than you might imagine, which has the great advantage of setting you apart in the job market.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, someone who combines data analysis with knowledge of human behaviour could specialise in artificial intelligence applied to user experience, while someone who joins software development with design skills can develop digital products that make a difference.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you're curious about everything data-related, there are programmes designed to help you better understand the different roles, one of them being the Master's in Artificial Intelligence and <em>Data Science<\/em> you Immuned. You will be able to experiment with artificial intelligence and data science, discovering which areas interest you and which you are best at without having to decide from the outset.<br>principle which path to follow.<\/p>","protected":false},"excerpt":{"rendered":"<p>Cuando hablamos de una carrera tecnol\u00f3gica, la oferta es enorme y es del todo normal que cueste decidir entre una y otra. La buena noticia es que hay formaciones como el M\u00e1ster en Inteligencia Artificial y Data Science, pensadas para responder a la creciente demanda al abordar \u00e1reas como ingenier\u00eda, an\u00e1lisis, ciencia y gesti\u00f3n de [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":25367,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ai_generated_summary":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-25343","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts\/25343","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/comments?post=25343"}],"version-history":[{"count":0,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts\/25343\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media\/25367"}],"wp:attachment":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media?parent=25343"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/categories?post=25343"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/tags?post=25343"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}