{"id":3458,"date":"2021-03-18T19:48:08","date_gmt":"2021-03-18T18:48:08","guid":{"rendered":"http:\/\/3.237.101.193\/en\/?post_type=events&p=3458"},"modified":"2022-08-10T10:57:15","modified_gmt":"2022-08-10T08:57:15","slug":"how-to-become-a-data-analyst","status":"publish","type":"events","link":"https:\/\/careerfoundry.inbearbeitung.de\/en\/events\/how-to-become-a-data-analyst\/","title":{"rendered":"Become a Data Analyst with CareerFoundry"},"content":{"rendered":"

How to become a data analyst<\/span><\/h2>\n

A career in data analytics is exciting, varied, challenging, and rewarding<\/span>\u2014<\/span>and data is one of the most high-growth industries in terms of jobs. It\u2019s estimated that by 2025, the <\/span>big data market will be worth over $229 billion USD<\/span><\/a>. At the same time, the <\/span>World Economic Forum<\/span><\/a> identifies data and AI as one of seven high-growth emerging professions, with a growth rate of 41% per year. Data skills are in demand, so there has never been a better time to become a data analyst.\u00a0<\/span><\/p>\n

So what does it take to break into the field?\u00a0<\/span><\/p>\n

If you\u2019re wondering how to become a data analyst, there are certain things you\u2019ll want to know\u2014like what is the typical background of a data analyst, and what kinds of skills do you need to master? We\u2019ve covered all of this and more in our <\/span>comprehensive guide on how to become a data analyst<\/span><\/a>. For now, though, let\u2019s set out some clear steps you can follow in your quest to become a data analyst.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

In this info session, you\u2019ll get the chance to learn more about CareerFoundry’s Data Analytics Program and how we empower students to transform their careers and break into the world of data analytics.<\/p>\n","protected":false},"author":104,"featured_media":39533,"menu_order":0,"template":"","meta":{"_acf_changed":false,"_lmt_disableupdate":"yes","_lmt_disable":""},"event_type":[14],"event_tags":[27],"event_topics":[19],"event_locations":[21],"class_list":["post-3458","events","type-events","status-publish","has-post-thumbnail","hentry","event_type-on-demand","event_tags-data-analytics","event_topics-data-analytics","event_locations-online"],"acf":{"long_event_description":"

Step 1: Learn the fundamentals of data analysis<\/span><\/h3>\n

If you want to become a data analyst, you\u2019ll need to get familiar with the principles and theory behind data analysis, and be confident using industry-standard tools and techniques to actually work hands-on with large volumes of data. Start by <\/span>learning about the different types of data analysis<\/span><\/a>, checking out some of the most widely-used <\/span>data analytics tools<\/span><\/a>, and then getting hands-on with <\/span>this series of free introductory data analytics tutorials<\/span><\/a>.\u00a0<\/span><\/p>\n

Step 2: Formalize your learning with a course or qualification<\/span><\/h3>\n

If you\u2019re serious about becoming a data analyst, it\u2019s worth structuring your learning with a course or bootcamp. Not only will this give you a set path to follow; depending on the course you take, you may also finish with a professional portfolio and a certificate to verify your newly-learned skills. If you\u2019re not sure what type of course is right for you, these resources will help you:<\/span><\/p>\n