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• University of New Orleans
• Academician
• Graduate School | Graduate degree programs
• Certificates
• Graduate Certificate in Data Analytics

Graduate Certificate in Data Analysis

A graduated certificate in data analysis works for adult adults with the internally containing skills for testing, organizing and creating "Big Data". Like Internet habits, intelligent devices and sensor technology, which increase data available, companies need companies in a wide range of industries experienced specialized professionals who can filter and condense the ever-growing amount of information in clear visualization. Through four (4) three-loans courses, students learn to use statistical principles to review data, organize and analyze and create projections for predicting results and make the organization's decisions.

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about the graduate certificate in the data analysis

A newer market-controlled program at the University of New Orleans (UNO) is the graduate certificate in data analysis on the work for adults or current students with a strong statistical background aligned.

Today, companies have access to an almost insurmountable amount of data throughout Louisiana and the globe. The methodology of the yesterday is no longer sufficient in terms of organization, processing and use of all available information. A company that can not analyze through associated data is not only left out of the marketplace - it misses the most important decision making, which could bring customers and competitors.

For these reasons, a data analyst proves to be an asset within many organizations, and many industries are currently under lack of. In fact, in accordance with figures from the Bureau of Labor Statistics' Professional Vocational Prospects Manual, Demand for Research Anales and Similar Occupations will grow to grow 26 percent from 2018 to 2028 than most other fields.

The graduated certificate of UNO in the data analysis gives the students a competitive advantage in today's data-driven world. Courses help to produce solid grounding in data analysis, management, visualization and communication, with the aim of successfully influencing the planning, products and services. The students learn again to examine how data collects, retrieved, restored, restored, restored, and learn from large, unmanageable records and techniques such as data mining and machine to analyze them. The presentation plays an important role, and the classes continue to support students supporting their findings through diagrams, diagrams and other methods.

As New Orleans' only the public research university of the Carnegie Ranking, UNO takes into account our courses within the existing communities of the city and the state. As a result, our graduated certificate in data analysis not only advises students to enter a competitive and fast-growing profession. We also have angled course work and classrooms into several local industries in which data analysts play an integral role, including digital media, health sciences, advanced manufacturing, waste management, energy, education, marketing, information technology and civil engineering.

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What makes a data analyst?

Simply expressed, data illustrates patterns over the world, people in it, and companies working in their scope. Especially for companies, these patterns will be useful for predicting their customers, competitors and industry. Instead of gathering estimates or to make assumptions, companies support companies in identifying and evaluating the best way.

Last decade, the amount of data available up to the point has grown that standard statistical analysis methods can only examine a fraction of the volume - and are not always efficient. Specialized tools and software are now important to create and evaluate both structured data (easily categorized numbers and text from sources such as smartphones, GPS, sales, sensors and account channels) and unstructured data (a newer keyword-based, complex form customer reviews, Social media, photos, videos and multimedia).

The modern data analyst does not just have to be passed in statistical data collection and analysis methods of decades. You must also understand the width and variables of unstructured data and know how to use the latest analysis and organizational tools.

Course work for the graduate certificate in Data Analytics-4 courses (12 credit hours

The graduate certificate in Data Analytics is adopted by the College of Sciences' Department of Mathematics, but the industry-centered courses of the program overlap with external disciplines. Students must complete four total courses: two math lessons covering statistical analyzes and modeling, and two additional courses concentrating on the practical application of data analysis.

Core request-2 courses

Two introductory courses build on the understanding of the statistics of a bachelor. In Math 5373, the students are exposed to data analysis, collection, preparation, cleaning, visualization, administration and mining and learning, numbers and other data on uncertainty, probability, variance, sampling, ratchetness and other techniques to analyze. Mathematics 5385 progressed through great statistical learning methods, during which students apply these concepts to solve modern scientific, industry and social problems.

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