{"id":3890,"date":"2025-04-09T11:23:21","date_gmt":"2025-04-09T11:23:21","guid":{"rendered":"https:\/\/minutadoposla.com\/?p=3890"},"modified":"2025-08-01T07:17:28","modified_gmt":"2025-08-01T07:17:28","slug":"kako-preci-u-data-science-bez-diplome","status":"publish","type":"post","link":"https:\/\/minutadoposla.com\/en\/blog\/zanimljive-karijere\/kako-preci-u-data-science-bez-diplome\/","title":{"rendered":"How to Enter Data Science Field Without a Degree"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"3890\" class=\"elementor elementor-3890\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9c81be6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9c81be6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8c782e2\" data-id=\"8c782e2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-25b6c26 elementor-widget elementor-widget-text-editor\" data-id=\"25b6c26\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Data Science.<\/span><\/p><p><span style=\"font-weight: 400;\">Whenever I used to hear that before, I would think of a scene from a futuristic movie.<\/span><\/p><p><span style=\"font-weight: 400;\">The reality is more different today,  much more interesting.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Today, even without a college degree (which used to be truly impossible), you can make a huge leap in your career and become part of this revolutionary industry.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Think of this post as your treasure map, because I\u2019m going to show you how to step into the world of Data Science, compare it with other similar jobs, and provide real, easy-to-apply steps toward success.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f23a2e0 elementor-toc--minimized-on-tablet elementor-widget elementor-widget-table-of-contents\" data-id=\"f23a2e0\" data-element_type=\"widget\" data-settings=\"{&quot;exclude_headings_by_selector&quot;:[],&quot;headings_by_tags&quot;:[&quot;h2&quot;],&quot;no_headings_message&quot;:&quot;No headings were found on this page.&quot;,&quot;marker_view&quot;:&quot;numbers&quot;,&quot;minimize_box&quot;:&quot;yes&quot;,&quot;minimized_on&quot;:&quot;tablet&quot;,&quot;hierarchical_view&quot;:&quot;yes&quot;,&quot;min_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"table-of-contents.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toc__header\">\n\t\t\t<h4 class=\"elementor-toc__header-title\">\n\t\t\t\tIn this post, you will read about:\t\t\t<\/h4>\n\t\t\t\t\t\t\t<div class=\"elementor-toc__toggle-button elementor-toc__toggle-button--expand\" role=\"button\" tabindex=\"0\" aria-controls=\"elementor-toc__f23a2e0\" aria-expanded=\"true\" aria-label=\"Open table of contents\"><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/div>\n\t\t\t\t<div class=\"elementor-toc__toggle-button elementor-toc__toggle-button--collapse\" role=\"button\" tabindex=\"0\" aria-controls=\"elementor-toc__f23a2e0\" aria-expanded=\"true\" aria-label=\"Close table of contents\"><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/div>\n\t\t\t\t\t<\/div>\n\t\t<div id=\"elementor-toc__f23a2e0\" class=\"elementor-toc__body\">\n\t\t\t<div class=\"elementor-toc__spinner-container\">\n\t\t\t\t<i class=\"elementor-toc__spinner eicon-animation-spin eicon-loading\" aria-hidden=\"true\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f1657b1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f1657b1\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c6bcaa7\" data-id=\"c6bcaa7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b8c64aa elementor-widget elementor-widget-text-editor\" data-id=\"b8c64aa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default elementor-inline-editing pen\" contenteditable=\"true\" data-elementor-setting-key=\"title\" data-pen-placeholder=\"Type Here...\">Why is Data Science career of the future?<\/h2><p>\u00a0<\/p><p><span style=\"font-weight: 400;\">If you belong to the older millennial generation, you probably remember a time when banks and financial institutions relied on handheld calculators, paper ledgers, and analog record-keeping methods. Just a few decades ago, analytical work required hours of manual counting, and a single data entry error could lead to serious problems.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Today, everything revolves around digital literacy, as software and automated systems have taken over that role, transforming the way we work. Naturally, in such an environment, Data Science is evolving faster than we could have ever imagined.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Statistics show that a Data Scientist's salary can increase by 30\u201350% within just a few years of entering the field. And the best part \u2013 a university degree isn\u2019t a must (though it\u2019s definitely a plus). All you need is determination and the right strategy!<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3199881 elementor-widget elementor-widget-text-editor\" data-id=\"3199881\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Statistics and trends<\/strong><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Rapid market growth:<\/b><span style=\"font-weight: 400;\"> The global Data Science market is expected to grow by 40% over the next five years.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>High salaries:<\/b><span style=\"font-weight: 400;\"> Transitioning into Data Science results in a significant increase in income, even without formal education.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Job diversity:<\/b><span> From finance and healthcare to retail \u2013 every industry is now seeking data experts.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2355df6 elementor-widget elementor-widget-text-editor\" data-id=\"2355df6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b> Data Science, Data Analytics i Machine Learning: What is the difference between these?<\/b><\/h2><p><span style=\"font-weight: 400;\">Before we dive deeper into Data Science, let\u2019s take a look at how these three professions differ. However, today, Data Science is the focus of our attention.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9f6ff66 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9f6ff66\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-56e2078\" data-id=\"56e2078\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9a4c093 elementor-tabs-view-horizontal elementor-widget elementor-widget-tabs\" data-id=\"9a4c093\" data-element_type=\"widget\" data-widget_type=\"tabs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-tabs\">\n\t\t\t<div class=\"elementor-tabs-wrapper\" role=\"tablist\" >\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1611\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-1611\" aria-expanded=\"false\">Data Science<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1612\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1612\" aria-expanded=\"false\">Data Analysis<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1613\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1613\" aria-expanded=\"false\">Machine Learning<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t<div class=\"elementor-tabs-content-wrapper\" role=\"tablist\" aria-orientation=\"vertical\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-1611\" aria-expanded=\"false\">Data Science<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1611\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1611\" tabindex=\"0\" hidden=\"false\"><p><span style=\"font-weight: 400;\">GENERAL DIFFERENCES: A combination of statistics, programming, and business insights. A Data Scientist not only analyzes data but also uses it to predict trends and create new business strategies.<\/span><\/p><p>MAIN FOCUS: Integrating statistics, programming, and business insights.<\/p><p>KEY SKILLS: Statistics, Python\/R, Machine Learning, Visualization.<\/p><p>\u00a0<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1612\" aria-expanded=\"false\">Data Analysis<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1612\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1612\" tabindex=\"0\" hidden=\"hidden\"><p>GENERAL DIFFERENCES: <span style=\"font-weight: 400;\">The focus is on data collection, cleaning, and interpretation. Analysts help companies make informed decisions, but they often lack the depth of predictive models used by Data Scientists.<\/span><\/p><p>MAIN FOCUS: <span style=\"font-weight: 400;\">Data collection and analysis for decision-making.<\/span><\/p><p>KEY SKILLS: <span style=\"font-weight: 400;\">SQL, Excel, data visualization, business intelligence.<\/span><\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1613\" aria-expanded=\"false\">Machine Learning<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1613\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1613\" tabindex=\"0\" hidden=\"hidden\"><p>GENERAL DIFFERENCES: <span style=\"font-weight: 400;\">The application of algorithms for automation and predictive modeling. This field is more specialized and requires a deeper understanding of mathematical and statistical models.<\/span><\/p><p>MAIN FOCUS: <span style=\"font-weight: 400;\">Creating models for automation and predictive algorithms.<\/span><\/p><p>KEY SKILLS: <span style=\"font-weight: 400;\">Algorithms, deep learning, working with \"Big Data\"<\/span><\/p><\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5bfab00 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5bfab00\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ee3a215\" data-id=\"ee3a215\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-19ba7cc elementor-widget elementor-widget-text-editor\" data-id=\"19ba7cc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><i><b>Note:<\/b><span style=\"font-weight: 400;\">:<\/span><\/i><span style=\"font-weight: 400;\"> Although all three professions are extremely important, Data Science dominates as a game-changer in the industry \u2013 that\u2019s why we\u2019re focusing on it today.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9cc589d elementor-widget elementor-widget-text-editor\" data-id=\"9cc589d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b> How to Enter Data Science Field Without a Degree<\/b><\/h2><h3>\u00a0<\/h3><h3><strong><span style=\"text-decoration: underline;\">STEP #1: Try to understand the basics<\/span><\/strong><\/h3><p><span style=\"font-weight: 400;\">Before you start exploring courses and training, it's important to lay a solid foundation not only in terms of basic terminology but also through personal self-assessment.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Why are self-awareness and self-assessment important?\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">What would happen if, after a year of studying this field and investing a lot of money in education, you realize that working with data doesn\u2019t align with your natural desires and talents? You\u2019d likely feel demotivated and misguided.<\/span><\/p><p><span style=\"font-weight: 400;\">To prevent this from happening, explore your affinities and conduct proper assessments. There are many tests online that can help with this \u2013 from personality tests to aptitude tests. Our favorite is the NBI assessment, which almost never misses when it comes to these things, and after taking it, you\u2019ll know exactly if your brain naturally gravitates toward numbers.<\/span><\/p><p><span style=\"font-weight: 400;\">Other tests you can take are various cognitive tests.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Now that you've established that numbers \"work for you,\" let's start with the basic terms you need to know:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c1cc039 elementor-widget elementor-widget-text-editor\" data-id=\"c1cc039\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Dataset<\/b><span style=\"font-weight: 400;\">: a structured set of data used for analysis and modeling. It typically contains data organized in rows and columns, which allows for easier processing and interpretation.<\/span><\/p><p><b>Algorithm<\/b><span style=\"font-weight: 400;\"> A series of steps or rules used to solve a problem or perform a specific operation. In Data Science, algorithms are applied to process data, create models, and make decisions.<\/span><\/p><p><b>Machine Learning: <\/b><span style=\"font-weight: 400;\">a subfield of artificial intelligence that enables computers to learn from data and improve without explicit programming. Through learning from examples, models can recognize patterns and make predictions.<\/span><\/p><p><b>Deep Learning:<\/b><span style=\"font-weight: 400;\"> a specialized branch of machine learning that uses multilayered neural networks to analyze complex patterns in large datasets. It is particularly effective in recognizing visual, auditory, and linguistic patterns.<\/span><\/p><p><b>Data Mining: <\/b><span style=\"font-weight: 400;\">the process of discovering hidden patterns and correlations within large datasets using statistical and machine learning techniques. The goal is to find valuable insights that can support business decision-making.<\/span><\/p><p><b>Data Visualization:<\/b><span style=\"font-weight: 400;\"> the process of converting data into visual representations, such as charts, diagrams, and maps, to make complex information easier to understand. A good visual representation enables quick data interpretation and the identification of key trends.<\/span><\/p><p><b>Predictive Modeling: <\/b><span style=\"font-weight: 400;\">it uses statistical techniques and machine learning to create models that predict future outcomes based on historical data. These models help organizations plan ahead and make strategic decisions.<\/span><\/p><p><b>Feature Engineering: <\/b><span style=\"font-weight: 400;\">the process of transforming raw data into relevant features that improve the performance of machine learning models. It involves selecting, modifying, and creating new variables that better represent the problem.<\/span><\/p><p><b>Supervised Learning: <\/b><span style=\"font-weight: 400;\">a machine learning technique where the model learns from data that is pre-labeled with correct answers. The goal is to learn a rule that can be applied to new, unlabeled data to predict outcomes.<\/span><\/p><p><b>Unsupervised Learning:<\/b><span style=\"font-weight: 400;\"> an approach where the model analyzes data without predefined labels or goals, looking for hidden structures or patterns. It is most commonly used for clustering or dimensionality reduction of data.<\/span><\/p><p><b>Reinforcement Learning: <\/b><span style=\"font-weight: 400;\">a machine learning technique where an agent learns through interaction with its environment, receiving rewards or penalties based on its actions. The goal is for the agent to develop an optimal strategy that maximizes the total reward over time.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5490912 elementor-widget elementor-widget-text-editor\" data-id=\"5490912\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><span style=\"text-decoration: underline;\"><strong>STEP #2: Enroll in creditable, certified training programs.<\/strong><\/span><\/h3><p><span style=\"font-weight: 400;\">It\u2019s great that you\u2019ve purchased a course on Udemy, that\u2019s a good place to start. However, if you think that after completing that course employers will be fighting over for you \u2013 I\u2019m sorry, but they won\u2019t.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Udemy, Coursera, and similar platforms are like fast food chains. What you need is a fine dining restaurant.<\/span><\/p><p><span style=\"font-weight: 400;\">Explore certified training programs that offer one-on-one or group mentoring, as well as those that include a mini project as an outcome. By the way, we are currently in negotiations regarding a certification, so if you've made it this far, it might be a good idea to get on the waiting list, and we\u2019ll notify you when everything is finalized. Sign up <\/span><a href=\"https:\/\/forms.gle\/wvi7GfGr2fvJjrnq7\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">HERE<\/span><\/a><span style=\"font-weight: 400;\">. The certification will be conducted by an accredited international institution and will be in English.<\/span><\/p><p><span style=\"font-weight: 400;\">In the meantime, while you search for the ideal training for yourself, learn Python or R \u2013 the key tools for every Data Scientist.<\/span><\/p><p><span style=\"font-weight: 400;\">There are free tutorials available, here are a few I found (some are even up to 6 hours long!):<\/span><\/p><ol><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.youtube.com\/watch?v=kqtD5dpn9C8\" target=\"_blank\" rel=\"noopener\">Python for beginners<\/a>\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/www.youtube.com\/watch?v=iROHLA_TXQM\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">R for Data Science \u2013 full course<\/span><\/a><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/www.youtube.com\/watch?v=ua-CiDNNj30\" target=\"_blank\" rel=\"noopener\">Learn Data Science<\/a><\/li><\/ol><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Each new line of code brings you closer to your goal, but you will also need to invest time and master some basic concepts of statistics. To be clear \u2013 you don\u2019t have to become a mathematical genius, but understanding the basic principles can be crucial. Additionally, modern companies test candidates' cognitive abilities, including numerical skills, which are quite predictive and help us assess how a person will measure the results of their work, how precise they will be, their focus on specific tasks, and more.<\/span><\/p><p><span style=\"font-weight: 400;\">In addition, visualization tools like Tableau or Power BI will help you turn data into stories \u2013 and every good story hits right at the heart of the audience (and recruiters).<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-be6fcbf elementor-widget elementor-widget-text-editor\" data-id=\"be6fcbf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><span style=\"text-decoration: underline;\"><strong>STEP #3: Learn through practical projects<\/strong><\/span><\/h3><p><span style=\"font-weight: 400;\">A person with experience in a field is worth more than three people with certificates from the most prestigious global institutions! It\u2019s crucial that you apply everything you learn in practice, and although no one told you this in school \u2013 the real world expects you to figure things out on your own.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">There are several ways to achieve this, and the easiest way is to start with volunteer work, a mini project, or work with a mentor. This third option requires the greatest investment, but it brings the best results because you\u2019ll learn things from the mentor that you wouldn't otherwise, putting you one step ahead of others.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Imagine being asked a technical question in a job interview, and you answer it correctly, adding that you learned it through working with a mentor! Now, tell me \u2013 who wouldn\u2019t want to hire someone who invests in their knowledge and has a mentor?\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Start with simple mini projects right after completing a course, training, or certification. This could involve analyzing publicly available datasets or creating basic data visualizations. Try applying some simple machine learning models to strengthen your portfolio. Go to a friend who owns a business and ask if they need help in the form of freelance work. Since you're a beginner, don't shy away from volunteer work \u2013 but set clear boundaries: <\/span><b>I will do this and that, by this and that time, and in return, I expect this and that.<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-57a09eb elementor-widget elementor-widget-text-editor\" data-id=\"57a09eb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><strong><span style=\"text-decoration: underline;\">STEP #4: There's nothing without a strong network of contacts<\/span><\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">The easiest way to enter a new market is to be top-of-mind for everyone. In other words, whenever someone in a conversation mentions \"Data Science,\" everyone else should say, \"Ah, I know a guy, Peter, he works in that field...\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Peter is top-of-mind, not because he sits at home learning about Data Science, but because he talks about it to everyone. He has a network of people around him, and he also comments on posts on LinkedIn.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">He\u2019s a member of every group related to the topic, and there\u2019s no way he\u2019ll miss a new trend. He actively participates in discussions and leaves meaningful comments on posts written by experts in the field. He isn\u2019t afraid to ask them questions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">He attends all the meetups where like-minded people gather and collects valuable contacts of potential collaborators and mentors.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">He posts a new update on LinkedIn every week related to his area of interest and thoughtfully adds decision-makers from companies on his list to his network.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By the way, if you missed it, I wrote about those lists in the blog \"Job Search Strategies No One Talks About.\" It would be a good idea to check it out. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-110d728 elementor-widget elementor-widget-text-editor\" data-id=\"110d728\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b>What does a typical workday in this position look like?<\/b><\/h2><p><span style=\"font-weight: 400;\">You are going to love this.<\/span><\/p><p><span style=\"font-weight: 400;\">Jedna od najuzbudljivijih prednosti Data Science karijere jeste mogu\u0107nost rada od ku\u0107e \u2013 ili bilo kog mjesta na svijetu. Evo nekoliko ideja i savjeta kako da iskoristite ovu priliku:<\/span><\/p><h3><u>Advantages of remote work<\/u><\/h3><p><span style=\"background-color: transparent;\">As a Data Scientist, you often have the freedom to organize your work schedule. This means you can balance work tasks with personal life \u2013 more time for family, hobbies, or even additional learning. However, be cautious, as flexibility can slowly become a double-edged sword!\u00a0<\/span><\/p><p><span style=\"background-color: transparent;\">Just because your working hours are flexible doesn't mean you can always sleep during the day and work at night. There\u2019s a team of people who prefer to be active from 9-5, so for good collaboration, you'll be expected to be available during that time frame.<\/span><\/p><p><span style=\"background-color: transparent;\">Working from home means you can forget about the daily rush in public transportation or fuel costs. It means more money in your pocket and less stress on the way to the office. It also means breakfast and lunch at home, but often skipping afternoon coffee with friends. After a while, you might feel like your social life is being neglected. We\u2019ve got tips for that too, so keep reading \ud83d\ude42<\/span><\/p><p><span style=\"background-color: transparent;\">Many companies now embrace remote work, meaning you can apply for jobs worldwide, no matter where you live. This opens the door to international projects and collaborations, which later impact your reputation and, of course, your salary!<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4810201 elementor-widget elementor-widget-text-editor\" data-id=\"4810201\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><span style=\"text-decoration: underline;\">How to organize your work from home?<\/span><\/h3><p><span style=\"font-weight: 400;\">Create a comfortable and functional workspace \u2013 let it be your \"little office\" that inspires productivity. Ideally, it shouldn't be your bedroom, but hey\u2026\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Invest in a good chair, workstation, and all the necessary technical tools. I also recommend a desk with adjustable height for those moments when you feel like standing. Some people I know even use a walking\/running treadmill and typically use it during brainstorming sessions, listening to tutorials, and the like.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">I even have one client who runs during the meeting. Cool.<\/span><\/p><p><span style=\"background-color: transparent;\">Structure your day. Set clear work hours and break times.\u00a0<\/span><\/p><p><span style=\"background-color: transparent;\">If you feel like you're not being efficient, try the \"Pomodoro\" technique to focus in intervals, followed by breaks \u2013 it helps you stay productive while also staying rested. This is my favorite technique whenever I feel like I need to concentrate: I turn\u00a0<\/span><a href=\"https:\/\/pomofocus.io\/\" target=\"_blank\" rel=\"noopener\">pomofocus<\/a><span style=\"background-color: transparent;\">\u00a0on and work in intervals of 25 mins and 5 mins water, phone, coffee, or toilet break.<\/span><\/p><p><span style=\"background-color: transparent;\">I like to block time slots in my Google Calendar, where I always have different colors for different categories of tasks. I do this planning on weekends, although during the current week, I start slowly filling in the appointments for the next one. This helps me not to wander from task to task in the morning, but to know what\u2019s \u201con my plate\u201d that day<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c828337 elementor-widget elementor-widget-image\" data-id=\"c828337\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"693\" height=\"471\" src=\"https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/BojanaPerovic_google_kalendar_data_science_karijera_blog-1.png\" class=\"attachment-medium_large size-medium_large wp-image-3918\" alt=\"\" srcset=\"https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/BojanaPerovic_google_kalendar_data_science_karijera_blog-1.png 693w, https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/BojanaPerovic_google_kalendar_data_science_karijera_blog-1-300x204.png 300w, https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/BojanaPerovic_google_kalendar_data_science_karijera_blog-1-18x12.png 18w, https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/BojanaPerovic_google_kalendar_data_science_karijera_blog-1-600x408.png 600w\" sizes=\"(max-width: 693px) 100vw, 693px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bf3c6e9 elementor-widget elementor-widget-text-editor\" data-id=\"bf3c6e9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This is my calendar: <b>yellow<\/b> for personal tasks, <b>blue <\/b>interviews and workshops, <b>baby pink<\/b>&nbsp;work with coaching clients, <b>dark pink<\/b> pending tasks from previous days, <b>green<\/b>&nbsp;marketing and writing, <b>grey<\/b>&nbsp;for internal meetings<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ce125e elementor-widget elementor-widget-text-editor\" data-id=\"1ce125e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"background-color: transparent; color: #7a7a7a; font-size: 16px; font-weight: 400;\">Use tools like Slack, Zoom, or Microsoft Teams to communicate with colleagues, communities, and mentors. Regular online meetings help maintain team cohesion and make you feel like part of a larger community, even when working from home.<\/span><\/p>\n<p><span style=\"background-color: transparent;\">Use <a href=\"https:\/\/asana.com\/\" target=\"_blank\" rel=\"noopener\">Asana<\/a>, <a href=\"https:\/\/trello.com\/\" target=\"_blank\" rel=\"noopener\">Trello<\/a>, <a href=\"https:\/\/www.notion.so\/\" target=\"_blank\" rel=\"noopener\">Notion<\/a> or <a href=\"https:\/\/clickup.com\/\" target=\"_blank\" rel=\"noopener\">ClickUp<\/a> to organize your projects. If you're a beginner, you might need a tutorial to get everything organized (especially when it comes to Notion, because it's so flexible that you can easily get lost), but once you do, there will be no more wandering. Everything will be in one place, clear, and accessible.<\/span><\/p>\n<p><span style=\"background-color: transparent;\">Working from home can sometimes lead to getting too absorbed in work. Set boundaries \u2013 turn off work notifications after hours and dedicate time to your interests. Your mental balance is crucial for long-term success. That\u2019s why, even though you have flexible working hours, it\u2019s best to set some general time blocks during which you\u2019ll work.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-26c5426 elementor-widget elementor-widget-text-editor\" data-id=\"26c5426\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b>How much do Data Scientists typically earn?<\/b><\/h2><p><span style=\"font-weight: 400;\">Depending on your years of experience and level of expertise, this salary can vary, but it is certainly well above average. Additionally, the location you are in can influence your salary.<\/span><\/p><p><span style=\"font-weight: 400;\">Take a look at this <a href=\"https:\/\/www.coursera.org\/articles\/data-scientist-salary?utm_medium=sem&amp;utm_source=gg&amp;utm_campaign=b2c_emea_x_multi_ftcof_career-academy_cx_dr_bau_gg_pmax_gc_s1_en_m_hyb_23-12_x&amp;campaignid=20858198824&amp;adgroupid=&amp;device=c&amp;keyword=&amp;matchtype=&amp;network=x&amp;devicemodel=&amp;creativeid=&amp;assetgroupid=6484888893&amp;targetid=&amp;extensionid=&amp;placement=&amp;gad_source=1&amp;gclid=CjwKCAjwtdi_BhACEiwA97y8BLTuOdIL03Z6LD1W8cQ8itDC9iXW4tE3bnsTfqiWacFtV9N4ztLCsBoC4_sQAvD_BwE\" target=\"_blank\" rel=\"noopener\">research Coursera did<\/a> on annual earnings for this position:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-837c719 elementor-widget elementor-widget-image\" data-id=\"837c719\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"124\" src=\"https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/Data-Scientist-salary-coursera.png\" class=\"attachment-large size-large wp-image-3905\" alt=\"\" srcset=\"https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/Data-Scientist-salary-coursera.png 997w, https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/Data-Scientist-salary-coursera-300x46.png 300w, https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/Data-Scientist-salary-coursera-768x119.png 768w, https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/Data-Scientist-salary-coursera-18x3.png 18w, https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/Data-Scientist-salary-coursera-600x93.png 600w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-40df7da elementor-widget elementor-widget-text-editor\" data-id=\"40df7da\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">That comes out to around 8k to 10k USD per month. Great figures, I would say.<\/span><\/p><p><span style=\"font-weight: 400;\">Is it worth trying?<\/span><\/p><p><span style=\"font-weight: 400;\">That's on YOU to decide \ud83d\ude42<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea25385 elementor-widget elementor-widget-text-editor\" data-id=\"ea25385\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b>To summarize...<\/b><\/h2><p><span style=\"font-weight: 400;\">A career change into Data Science starts with one small but determined step. If you're ready to dive into the adventure and open new doors, now is the perfect time to take action. You already know that a formal degree isn't a requirement \u2014 it's your passion, persistence, and hands-on experience that truly matter!<\/span><\/p><p><span style=\"font-weight: 400;\">If you see yourself in this and want to learn more about a practical and comprehensive path toward a Data Science career \u2013 one that also includes remote work opportunities \u2013 sign up for the waitlist for the certification I mentioned. As soon as we\u2019re ready to share all the details, you\u2019ll be among the first to hear about this amazing opportunity.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Kliknite <\/span><a href=\"https:\/\/forms.gle\/wvi7GfGr2fvJjrnq7\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">here<\/span><\/a><span style=\"font-weight: 400;\"> to apply.<\/span><\/p><p><span style=\"font-weight: 400;\">Catch you in one of the next blog posts, and until then \u2013 chin up, better careers are on their way!<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Data Science. Kad god bih to ranije \u010dula, pomislila bih na neku scenu iz futuristi\u010dkog filma. Danas je stvarnost druga\u010dija, daleko zanimljivija.\u00a0 Danas \u010dak i bez fakultetske diplome (\u0161to je nekad bilo zaista nemogu\u0107e) mo\u017eete napraviti ogroman skok u karijeri, i postatio dio ove revolucionarne industrije.\u00a0 Ovaj post gledajte kao na va\u0161u mapu do skrivenog [&hellip;]<\/p>","protected":false},"author":3,"featured_media":3898,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"order-bump-settings":[],"_wpfnl_thankyou_order_overview":"on","_wpfnl_thankyou_order_details":"on","_wpfnl_thankyou_billing_details":"on","_wpfnl_thankyou_shipping_details":"on","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[10],"tags":[64,65],"class_list":["post-3890","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zanimljive-karijere","tag-data-science","tag-zanimljive-karijere"],"jetpack_featured_media_url":"https:\/\/minutadoposla.com\/wp-content\/uploads\/2025\/04\/DataScience_karijera_minuta_do_posla.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/posts\/3890","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/comments?post=3890"}],"version-history":[{"count":36,"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/posts\/3890\/revisions"}],"predecessor-version":[{"id":4094,"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/posts\/3890\/revisions\/4094"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/media\/3898"}],"wp:attachment":[{"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/media?parent=3890"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/categories?post=3890"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/minutadoposla.com\/en\/wp-json\/wp\/v2\/tags?post=3890"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}