{"id":37414,"date":"2022-07-05T16:46:32","date_gmt":"2022-07-05T05:46:32","guid":{"rendered":"https:\/\/www.institutedata.com\/?p=37414"},"modified":"2022-08-05T16:50:00","modified_gmt":"2022-08-05T05:50:00","slug":"should-i-learn-data-science-or-big-data","status":"publish","type":"post","link":"https:\/\/www.institutedata.com\/us\/blog\/should-i-learn-data-science-or-big-data\/","title":{"rendered":"Should I learn data science or big data?"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Before deciding whether to pursue data science or big data as a career, make sure you know how they differ.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Big data is the mass of structured, unstructured and semi-structured information that data professionals use to analyze insights leading to better organizational decisions and strategic outcomes. Data science is the broader field that comprises tools, data cleansing, analysis, algorithms and machine-learning principles to uncover patterns within raw data.\u00a0<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Big data features prominently in data science. If you<\/span><span style=\"font-weight: 400;\">\u2019<\/span><span style=\"font-weight: 400;\">re a current or aspiring big data professional, consider a data science qualification to broaden your horizons.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What is the role of big data in business?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Big data has revolutionized business practices by:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enabling companies to fully understand the needs of their customers by analyzing social media data, browser logs and text data mining.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reducing costs with predictive analytics to reduce guesswork. Businesses can predict inventory requirements and plan their production.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Improving cyber security to detect cyber attacks in combination with machine learning and artificial intelligence tools and techniques. This provides a great opportunity within the cyber security space for those with big data skills, as we&#8217;re currently experiencing a global cyber skills shortage.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">Is big data necessary for a career in data science and machine learning?\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Big data is grouped under data science, which is the umbrella term. It is fundamental to data science and machine learning. In everyday work, a data scientist encounters big data and needs to know how to use it.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Machine learning, a branch of artificial intelligence (AI), automates analytical model building. By learning from big data, it identifies patterns and makes decisions with minimal human intervention.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Are data scientists or big data professionals in demand?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">In recent years, some of the world\u2019s largest companies owe their successes to big data and the tools data scientists use for analysis. This development has generated a booming demand for data professionals, with almost every industry employing those with the relevant skills to enhance their business practices. Market leaders continue to look for skilled data professionals in America to ensure they keep their positions in a competitive market, meaning now might be <\/span><a href=\"https:\/\/www.institutedata.com\/blog\/rapid-growth-in-the-tech-industry-means-now-is-the-perfect-time-to-get-started\/\"><span style=\"font-weight: 400;\">the perfect time to upskill<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you\u2019re a big data professional, it\u2019s a great time to become qualified in data science, expand your resume and become a more dynamic, future-focused employee. Businesses are looking for data professionals with practical skills in big data and also with training in data science, machine learning and artificial intelligence.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What skills and experience can help me become a data scientist?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">If you\u2019re thinking of making the switch to a prosperous and fulfilling career filled with opportunities in data science, but don\u2019t know where to start, you\u2019re in the right place.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here are some key skill areas to focus on:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Begin refining your programming skills or gain a base understanding of required skills such as C\/C++, Python, R, Java languages, SAS and Pearl.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Refine or gain some business skills such as industry knowledge, communication, and knowledge of database systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Become familiar with Apache Spark and the Hadoop platform.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Learn more and push your limits.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Work on your teamwork skills: data scientists must collaborate with colleagues to solve complex problems \u2013 strong communication is essential.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">The career outlook of a data scientist vs a big data professional in Australia\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">If you\u2019re new to the industry, the professions of data science and big data professional may seem synonymous, but they <\/span><i><span style=\"font-weight: 400;\">do<\/span><\/i><span style=\"font-weight: 400;\"> differ.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data scientist<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Main responsibility is data analysis.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Expert in technologies such as Hadoop, Apache Spark, Pig, Python and Java.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tends to specialize in a niche and commonly works in groups within an organization.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Interprets and manages data to help solve complex problems.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Average annual salary of USD$102k.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Big data professional:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Involved in data scrapping and maintaining the quality of data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Summarizes findings of trends and patterns within data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understands the business and business objectives.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Average annual salary of USD$131k.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Data science is in demand not only in Australia but also worldwide. Qualifying will boost your career prospects in Australia or abroad.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">6 ways upskilling to data science can boost your career prospects<\/span><\/h2>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You will become a more dynamic and valuable employee. In America, the demand for skilled data scientists outweighs supply. Companies are willing to reward skilled data scientists because they are seen as a valuable asset.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You can help to optimize your business\u2019s operations. Data scientists use data to increase business efficiencies to reduce costs and save money. For example, transport companies use route optimization for quick, cost-effective deliveries.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You can identify fraud and assess risk. By upskilling to data science, you can help your company\u2019s cybersecurity by aiding in fraud detection and potential cyber-attacks.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You can target markets. Data science and analytics enable a company to target ads at consumers personally to increase sales.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You can deploy predictive analysis. Data science plays a pivotal role in predictive analysis to plan and manage costs. You can predict accurately how much a consumer will pay for a product and forecast when production will need to increase.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You can make more money. By upskilling to data science from big data, your salary could almost double.\u00a0<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Given the benefits, it\u2019s clear to see why upskilling to data science makes so much sense. Although big data professionals are in demand, employees educated and trained in data science are even more sought after, as their skills are viewed as wide-ranging across the breadth of a company.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Keen to make the switch to\u00a0<\/span><span style=\"font-weight: 400;\">data science<\/span><span style=\"font-weight: 400;\">? The Institute of Data full-time and part-time programs will help you achieve your career goals and connect you with thousands of industry partners seeking professionals with skills in data science.\u00a0<\/span><a href=\"https:\/\/www.institutedata.com\/us\/consultation\"><span style=\"font-weight: 400;\">Talk to a career consultant now.<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Before deciding whether to pursue data science or big data as a career, make sure you know how they differ.\u00a0 Big data is the mass of structured, unstructured and semi-structured information that data professionals use to analyze insights leading to better organizational decisions and strategic outcomes. Data science is the broader field that comprises tools,&hellip;<\/p>\n","protected":false},"author":1,"featured_media":37415,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[539,532,185],"tags":[],"class_list":["post-37414","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bigdata","category-datascience","category-uncategorised-en"],"_links":{"self":[{"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/posts\/37414","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/comments?post=37414"}],"version-history":[{"count":0,"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/posts\/37414\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/media\/37415"}],"wp:attachment":[{"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/media?parent=37414"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/categories?post=37414"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.institutedata.com\/us\/wp-json\/wp\/v2\/tags?post=37414"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}