{"id":33160,"date":"2021-07-08T19:09:54","date_gmt":"2021-07-09T02:09:54","guid":{"rendered":"https:\/\/careerkarma.com\/blog\/?p=33160"},"modified":"2023-02-22T06:34:41","modified_gmt":"2023-02-22T14:34:41","slug":"galvanize-data-analytics-online-immersive","status":"publish","type":"post","link":"https:\/\/careerkarma.com\/blog\/galvanize-data-analytics-online-immersive\/","title":{"rendered":"Why Galvanize Data Analytics Online Immersive? Learn to Analyze Data Like a Pro"},"content":{"rendered":"\n

Data has been baked into nearly every industry, as companies continue to place big bets on data initiatives. But here\u2019s the paradox: one in five companies are failing to maximize the opportunities that data presents. <\/p>\n\n\n\n

A report<\/a> from commercial data and analytics firm Dun and Bradstreet says that companies that belong to the 20 percent struggle with several factors, including the lack of the right talent to effectively manage and analyze data.<\/p>\n\n\n\n

Meanwhile, companies that have successfully grasped data and analytics are racing ahead. These include household names like Netflix from the entertainment industry, Nike and Amazon from the retail industry, and CVS Health from the healthcare industry. <\/p>\n\n\n\n

Data analysis is having its moment as it becomes a standard across industries. The challenge now lies in finding the right people to realize the gains that data offers.<\/p>\n\n\n\n

Why Learn Data Analysis?<\/h2>\n\n\n\n

The short answer: analytics works. Any person\u2019s actions, while represented only in numbers, tell a story. And it is the job of data analysts to poke that story from all angles and capture its value.\u00a0<\/p>\n\n\n\n

For healthcare data analysts, that value is reflected in how they can boost the quality of care and improve patient experience. For business analysts, the value may lie in how best to acquire and retain customers as well as how to manage risks. It is for this reason that data analysts are highly sought after today. <\/p>\n\n\n\n

The World Economic Forum<\/a> predicts that by 2022, 85 percent of employers will have adopted big data analytics. This, in turn, is expected to trigger an even higher demand for data analysts and data scientists. <\/p>\n\n\n\n

\u201cCompanies need more skilled people to be able to interrogate data and translate that data story to business,\u201d said Dr. Michelle Hoogenhout, an instructor for Denver-based coding bootcamp Galvanize<\/a>. That said, it might take a while for companies to fill the empty ranks for data professionals.<\/p>\n\n\n\n

\u201cWith businesses across industries scrambling to acquire AI talent and to increase their own data-driven decision-making, demand for data analytics professionals will likely outstrip the available talent for some time,\u201d a recent Deloitte study<\/a> said.<\/p>\n\n\n\n

Hoping to turn the tide is Galvanize<\/a>. <\/p>\n\n\n\n

This year, Galvanize is rolling out its newest addition to its Immersive courses: the Data Analytics Online Immersive<\/a>. Lasting 10 weeks (with a one-week break) and delivered entirely online, the training program is designed to target the skills that budding data analysts need to enter the field.\u00a0<\/p>\n\n\n\n

\u201cWe\u2019ve had a lot of success with our Data Science Immersive course<\/a>,\u201d said Michelle. \u201cAnd with data analytics\u2019 increased focus on data storytelling, interpretable results, and business sense\u2014which is subtly different from data science\u2014we felt that it warranted its own course.\u201d\u00a0<\/p>\n\n\n\n

With the first cohort set to begin classes in September, the school is hoping to carve yet another path to a tech career.<\/p>\n\n\n\n

Galvanize Data Analytics Online Immersive Course: What Can You Expect? <\/h2>\n\n\n\n

The Galvanize Data Analytics Online Immersive program is the coding bootcamp\u2019s latest effort to bring one of today\u2019s hottest job titles closer to anyone looking to enter the vast world of data. This is in addition to the Galvanize Data Science Immersive<\/a>, which is both a full-time (12 weeks, with one week break) and part-time remote course<\/a> (30 weeks). <\/p>\n\n\n\n

Unlike the latter, however, which requires some previous programming and math experience, the Data Analytics Course has a lighter focus on technical requirements. \u201cWe want to open the door to more people who want to transition into a new career and who may not have previously done any coding,\u201d said Michelle. <\/p>\n\n\n\n

\u201cPeople don\u2019t have to come in with any particular skills because they can do a pre-course beforehand.\u201d The pre-course will cover basic Python skills, Excel frames, and software installation, all of which will come in handy during the immersive training.<\/p>\n\n\n\n

While the Data Analytics Immersive course has a relatively lower barrier to entry, the quality of content and instruction is equally competitive as other Galvanize Full-Time Immersive courses<\/a>.<\/p>\n\n\n\n

Galvanize Data Analytics Online Immersive Curriculum Overview<\/h3>\n\n\n\n

Indeed, the making of the Galvanize Data Analytics curriculum was not taken lightly. Practicing what it preaches, Galvanize leveraged relevant data to build a curriculum that meets current industry needs. <\/p>\n\n\n\n

\u201cOur team conducted over 50 interviews with data analysts and data analytics hiring managers to learn what was going on behind the scenes of [over] 100,000 job descriptions analyzed,\u201d said Jess Kryzenske, Galvanize\u2019s Director of Operations for Data Science and Analytics Education. <\/p>\n\n\n\n

\u201cWe tapped into companies large and small, government agencies, and startups, some of which include Google, Facebook, Microsoft, Disney, Nordstrom, Charles Schwab, DaVita, AdAction, Empiric Health, and Optimizely.\u201d <\/p>\n\n\n\n

The result is a curriculum that zeroes in on the tools and techniques that students will need to navigate the entire data analysis project life cycle. <\/p>\n\n\n\n

In particular, the course is divided into three modules, the first of which opens with an introduction to data analytics and its relevance in the business environment. Students will also learn how to use Excel to process, clean, and organize data. This ends with discussions on dashboards, SQL, and Tableau, with a focus on creating compelling data visualizations and data storytelling. <\/p>\n\n\n\n

The second module goes deep into Python programming and data exploration as well as basic statistics. <\/p>\n\n\n\n

\u201cMany programs focus mainly on SQL and visualization aspects, but we feel it\u2019s important for candidates to also have a strong introduction to Python,\u201d said Michelle. \u201cIt makes you a much more flexible analyst, opens up more career opportunities, and equips you better to work with big data.\u201d <\/p>\n\n\n\n

Finally, the last module will focus on inferential statistics and interpretable models such as regression.<\/p>\n\n\n\n

Because the curriculum promises a deep dive into data analytics, it can seem overwhelming to students who will be coming into the program without prior relevant experience or background. To evade this risk, Galvanize doubled down on classroom engagement and practical training. <\/p>\n\n\n\n

Galvanize Data Analytics Online Immersive: The Classroom Experience<\/h3>\n\n\n\n

\u201cWe aim to create an interactive, fun, and fast-paced learning environment based on good learning practices,\u201d said Michelle. These practices, she said, can be summarized into five key points.<\/p>\n\n\n\n