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DATA SCIENCE
CAREER
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33 Weeks
PROGRAM LENGTH
$14,000.00
TUITION
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What Is The Data Science Training Program And What Can You Accomplish As A Student?
The Data Science Training Program is a fully online, 10-course program that spans 33 weeks. Over these 33-weeks, students will become immersed in the data science field, learning in-demand skills from mastering programming and data modeling for effective cloud computing. These skills ensure that any graduate of our data science training program is fully prepared to make powerful data-driven decisions.
Data science is growing at an exponential rate and our program ensures that everything our students learn is as up to date as possible. Through expert instruction, curricula and hands-on experience, students will be prepared for a data science career.
DATA SCIENCE
Outcomes
With your coursework, we’ll make sure you pick up soft skills like critical thinking, problem-solving, teamwork, time management, and more, and you’ll build your own data science portfolio that showcases all of your accomplishments and skills achieved throughout the program.”
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 Management using Agile and Waterfall
COURSES - 33 WEEKS
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Basic Statistics |
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Statistical Programming in R |
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Metrics and Data Processing |
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Data Wrangling and Visualization |
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Intermediate Statistics |
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Machine Learning and Modeling |
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Introduction to Big Data |
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Database Foundations |
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Programming Foundations in Python |
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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 = $7,000
- Second Track Purchase = $5,775
- Third Track Purchase = $4,725
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
ESTIMATED SALARY
Data
Analyst
ESTIMATED SALARY
Data
Scientist
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 Meritize.
Complete the course registration process to reserve your seat using one of these options.
Many employers have education programs or will pay for continued education! Select “Corporate Invoice” if you need an invoice to process payment through company training tuition assistance/reimbursement plans.
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MEET YOUR WORKFORCE TRAINING SPECIALIST!
April is your Workforce Training Specialist. She is here to help you understand the program, payment options, and succeed! Get in touch with her to learn more about the program, Professional Workforce Development, and how to achieve your workforce development goals!
FAQ
Less than 8 months.
No. This program is offered through Andrews University, but does not count for college credit.
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.
Interested In Another Program?
Andrews University, located in Berrien Springs, Michigan, provides the highest quality training in order to best serve students and surrounding communities. Our specialized career training programs provide up-to-date and in-demand skills, preparation and certification, ensuring that everyone who completes our programs is of the highest caliber.
