Data Analytics

ACQUIRE VALUABLE AND IN-DEMAND DATA CAREER SKILLS

Uncover the purpose, origin and pivotal role of data analytics in today’s data-driven world. You’ll excel with the most important industry tools like R, Python and SQL to explore, understand and manipulate datasets, create compelling data visualizations and program your own AI through machine learning algorithms. In short, this minor will give you highly valuable career skills to stand out in a constantly changing and highly competitive job market.

Skills You will Gain

1. Technical Proficiency – Master the basic use of the most prominent processes, methods and tools of the data analytics industry. You’ll acquire a working understanding of popular coding languages like Python, R and SQL for data acquisition, processing, exploration, analysis, manipulation, visualization and more.

2. Investigative Analysis – Prepare to become a “dataset detective.” Using the leading industry tools, you’ll dive into real datasets to discover hidden trends and statistics to provide effective, data-driven solutions and create compelling, actionable narratives backed by real facts.

3. Problem Solving – As a data analyst, you’ll often be tasked with investigating a dataset to provide a fact-based solution to any given problem. Yet, working within a dataset presents its own myriad of problems from messy, missing or corrupted data to working with dates and times that just don’t jive with your coding library. Through repetition and hands-on execution, you’ll learn to provide simple solutions to complex problems.

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Assistant Professor of Economics

Email:

zachary.bartsch@avemaria.edu

Phone:

(239) 304-7929

Office:

Prince 104

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Adjunct Instructor of Economics

Email:

pablo.licheri@avemaria.edu

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Chair of the Economics Department; Associate Professor of Economics; Director of Online Education

Email:

gabriel.martinez@avemaria.edu

Phone:

(239) 280-1611

Office:

Prince 111

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FAST FACTS

INTERNSHIPS & CAREERS

REQUIRED COURSES

Typical Order of Required Courses for the Minor

CSCI 151 Introduction to Computer Programming

DATA 201 Data Visualization and Business Intelligence

DATA 220 Data Management

DATA 270 Introduction to Descriptive Analytics

Elective, to be chosen from:

CSCI 490 Artificial Intelligence and Machine Learning (requires CSCI 151 and 251 and DATA 201 and 220)

DATA 215 Excel for Data Analysis

DATA 290 Applied Machine Learning

ECON 403 Introduction to Econometrics (requires ECON 201, 202 and STAT 230)

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ADMISSIONS REQUIREMENTS

Data Analytics

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Sunny skies, warm temperatures, a beautiful campus. What more could you want? How about a community-like atmosphere, quality instructors who care about your success, a wealth of spiritual activities, expert career guidance… and that’s only the beginning. Imagine your future at AMU. It all starts by filling out our free application today.

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