ADVANCE YOUR

DATA SCIENCE

CAREER

Train in the analytics, data visualization, and predictive modeling skills you need to manage data, generate insights, and formulate organizational goals. The Data Science program from Greensboro College offers you the ideal opportunity to get trained and ready for a fast-growing information technology career. Job growth in data science is projected to be 16% — over three times faster than the average — over the next several years. And through our Center for Innovation & Workforce Development programs, you can get qualified for entry-level roles in this field in just eight months.

INQUIRE TODAY
Ready to begin your career journey or have more questions? Connect with a Workforce Training Specialist today!
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What does a
Data Science
do
Important
Information
Job
Possibilities
Certificate
Information
Payment
Options

33 Weeks

PROGRAM LENGTH

10

COURSES

$14,000

TUITION

REGISTER TODAY!

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WHAT IS THE DATA SCIENCE TRAINING PROGRAM AND WHAT CAN YOU ACCOMPLISH AS A STUDENT?

The Data Science program is 33 weeks in length, and prepares students for entry-level positions in big data and adjacent professions. The curriculum is spread across 10 in-depth courses ranging from basic statistics to machine learning and modeling.

Some of the topics you will cover include:

  • Statistical Programming in R
  • Metrics and Data Processing
  • Data Wrangling and Visualization
  • Machine Learning and Modeling

At the end of the program, students will select a real-world data subject, students form teams and begin to wrangle, mine, and analyze their accrued data, ultimately publishing their findings on GitHub and Kaggle.

By learning key programming languages, techniques, and practices used in the technology industry, software developers are proficient in building applications and websites of all types.

Through a combination of expert instruction and hands-on experience, students who complete the program will grow into their new role as creative problem solvers who are ready to develop, upgrade, assess, and document software.

Female IT holding a laptop

DATA SCIENCE

Outcomes

Upon completing the 33-week Data Science program, students will have a strong understanding of Python Programming, Statistical Programming in R, Tableau, and SQL.

In addition to the highly-coveted skills listed above, students learn the importance of teamwork and collaboration in the workplace, how to best communicate across organizational groups, and a slew of other problem solving skills necessary for professional success.

Skills Learned

As a graduate of this program, you can expect to bring a variety of applied mathematics and computer science-based skills to your current or future career, which include:

  • Effectively gathering insights from and creating databases in SQL
  • Programming in both Python and R
  • Turning data into beautiful visuals using Tableau
  • Cloud computing to manage Big Data
  • Performing machine learning algorithms in Python
  • Mastering data modeling
  • Project managing using Agile and Waterfall
COURSES
Basic Statistics
Statistical Programming in R
Metrics and Data Processing
Data Wrangling and Visualization
Intermediate Statistics
Machine Learning and Modeling
Introduction to Big Data
Database Foundations
Programming Foundations in Python
Group Project

DATA SCIENCE PROGRAM STRUCTURE

Choose from several flexible options for completing the Data Science certificate program:

  • Register for the full program and save 14%
  • Start with Track 1 and stack remaining tracks to manage cost over time

  • Tracks may be taken out of order, but we strongly recommend you take sequentially.

Featuring tiered pricing – the more you stack, the less you pay per track!

  • First Track Purchase = $5,600
  • Second Track Purchase = $4,620
  • Third Track Purchase = $3,780

Contact your Workforce Training Specialist for more details on the Data Science tracks.

Learn the fundamentals of analytics, data visualization, and predictive modeling. 

Courses:

  • Introduction to Data Science and Basic Statistics
  • Metrics and Data Processing
  • Introduction to Big Data

 

Outcomes:

  • Learn what it means to be a data scientist. Understand the basics of data & perform your first analyses & visualizations
  • Learn how to create new metrics for businesses & basics of Agile Project Management
  • Learn Big Data concepts like MapReduce and learn Amazon Web Services (AWS) and Spark

Gain skills to use Python and R programming to visualize and analyze data. Learn how to manage data repositories and generate insights.

Courses:

  • Statistical Programming in R
  • Programming Foundations
  • Database Foundations

 

Outcomes: 

  • Use R to manipulate, analyze, and visualize data
  • Learn common programming concepts in Python such as lists, loops, dictionaries, and functions
  • Learn how to design, store, and manipulate databases. Students will work with both rational (SQL) and non-rational databases

Learn the foundations of machine learning algorithms like k-nearest neighbors, random forest, and natural language processing. Identify data patterns and trends using computer science and applied mathematics theories.

Courses:

  • Data Wrangling and Visualization
  • Machine Learning and Modeling
  • Intermediate Statistics
  • Group Project

 

Outcomes:

  • Understand the process of changing the structure & format of raw data until the data is compatible with sometimes rigid requirements for analysis and appreciate the power of representing data graphically
  • Predict future events & reduce risk through supervised & unsupervised machine learning & modeling techniques
  • Draw insight from data using advanced statistical analyses
  • Solve your own real-world problem using the data analysis techniques of your choosing, then present in front of potential employers

DATA SCIENCE JOB POSSIBILITIES

As the tech industry expands, the employment market for skilled data science professionals is growing rapidly. In fact, the U.S. Bureau of Labor Statistics sees strong continued growth in the data science field and predicts the number of jobs will increase by about 31.4% through 2030.

The job opportunities available to program graduates span across several industries, such as technology, business, government, finance, and marketing. Entry-level positions include but are not limited to:

Database Administrator

$48,000 – $112,000
ESTIMATED SALARY

Data Analyst

$57,000 – $123,000
ESTIMATED SALARY

Data Scientist

$69,000 – $140,000
ESTIMATED SALARY

DATA SCIENCE PAYMENT OPTIONS

In addition to the following payment options, we offer special corporate volume pricing. Visit the Corporate page for details.

Pay in full using any major credit card, PayPal, or Venmo. Select “credit card” as your payment option.
Apply for PayPal Credit and pay zero interest if your balance is paid in full within 6-months. Complete a quick application and you’ll receive a credit decision within seconds.
Pay for your training with an education loan through Sallie Mae or Meritize. Complete the course registration process to reserve your seat using one of these options.

REGISTER TODAY!

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DO YOU NEED HELP PAYING FOR YOUR CERTIFICATION PROGRAM?​

Many employers offer education assistance programs. Download the brochures to show your employer the benefit of upskilling their employees.

MEET YOUR WORKFORCE TRAINING SPECIALIST!

Tracey is your Workforce Training Specialist.  She is here to help you understand your program of interest, payment options and succeed!  Get in touch with Tracey to learn more about your program, Southern Adventist University and how to achieve your workforce development goals!

FAQ

Less than 8 months

No. This program does not count for college credit. For college credit programs related to this field, visit southern.edu/computing.

No previous statistical programming skills are needed. Throughout the program, students will dive into statistical concepts and learn common programming concepts in both R and Python.

Students will learn programming in Python and statistical programming in R. They will also learn how to design, store, and manipulate databases in both rational SQL databases and nonrational databases.

No prior experience in the technology industry or education in technology is required.

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Founded in 1892, Southern Adventist University provides a quality, Christ-centered undergraduate and graduate education to approximately 2,700 students each year. Caring professors, hands-on training, and a wide selection of academic options prepare students for success, as demonstrated by our graduates’ impressive job placement numbers and high median starting salaries. Located in the foothills of the Smoky Mountains, Southern’s 1,300-acre campus features nearly 40 miles of hiking and biking trails, a top-notch fitness center, and much more.

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