Big Data and Data Science

Big Data and Data Science

The Big Data and Data Science program is an integrated and comprehensive online course designed for adult professionals interested in the field of analytics who wish to develop a broad and in-depth expertise in the spectrum of Big Data and Data Science related technologies. Gaining expertise in multiple data-related skills is essential in the field of analytics in order to adapt to fast changing trends and spontaneous business opportunities revealed by available data.   

Some of the professionals who can directly benefit are individuals aspiring to build a career in analytics, project managers, mainframe professionals, software developers, testers, architects, analytics professionals, business/data analysts, or data warehouse professionals.

Why choose the Duke Integrated Program in Big Data and Data Science?

  • Acquire a comprehensive skill set in Big Data, Data Science and Data Visualization
  • Hands-on learning through the use of CloudLabs
  • Industry leading mobile app for downloadable content and offline viewing
  • 12 month intensive online program combining self-paced learning and live virtual classroom instruction
  • Over 300 hours of content designed by leading industry experts
  • Access to 100+ quizzes, 1000+ practice questions, 30+ simulation exercises, and 30+ projects
  • Awards 12 months extended access to new/updated materials granted upon student’s completion of initial program requirements
  • 9 Elective courses available to supplement learning with industry specific applications
  • Earn a certificate from Duke University Continuing Studies upon completion of the program

Who should take this course?

This program is best suited for someone entering the field of analytics and covers the most important proficiencies for cross-functional competency. Professionals often focus solely on the individual competencies in Big Data, Data Science, and Data Visualization, leaving potential gaps in a comprehensive skill set that is in high demand by industry today.  Storing and processing large datasets requires knowledge in Big Data while Data Science and Machine Learning skills enable you to interpret this data and derive business insights.  Business Intelligence and Data Visualization capabilities help in creating and reporting business success metric dashboards for widespread consumption.  A professional with a comprehensive education in these areas has an added advantage and increased likelihood of success in the industry.

Product Demo: For exclusive access to a product demo send an email to datascience@duke.edu with your name and email address in the body of the email.

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Curriculum & Course Details

This program is comprised of five mandatory courses and a number of non-required electives.  This program covers Big Data technologies like Hadoop and Spark, as these tools create and manage the critical framework for storing and processing vast amounts of data across networks. Student activities will focus on: 

  • Gaining experience using complex data science algorithms and implementing them using industry-standard processing languages like R, Python and SAS.
  • Learning how to calculate, interpret and process Big Data insights by creating easily consumable data visualization reports with platforms like Tableau.
  • Applying concepts to hands-on projects using state-of-the art Machine Learning technology.

Mandatory Courses

The most effective way of progressing through this program is by attending the live virtual classroom (LVC) sessions and using online self-paced learning content as study support. While students may choose to take these courses in any order, the following steps describe the recommended learning progression:

Step 1: Data Science with R and Data Science with Python

These courses provide a strong foundation for analytical and statistical concepts and should also put students at ease with programming.

Step 2: Big Data Hadoop and Spark Developer

Learn about Big Data management of large datasets and processing capabilities. Upon completion of this course, students should have a comprehensive understanding of the integrated landscape of Big Data and Data Science.

Step 3: Tableau Desktop 10

Explore data visualization techniques with Tableau, one of the most popular Business Intelligence tools in the market.

Step 4: Machine Learning

This course provides advanced-level training on Machine Learning applications and algorithms. It will give students hands-on experience in multiple, highly sought-after machine learning skills in both supervised and unsupervised learning.

Elective Courses

The following courses are included in this program, but are not required for completion.  They do, however, provide knowledge that would be beneficial in increasing the skill set of an individual seeking a career in data science or analytics.  They can be taken in any order.

  • Data Science with SAS
  • MongoDB Developer and Administrator
  • Cassandra
  • Impala
  • Big Data Hadoop Administrator
  • Apache Spark and Scala
  • Business Analytics with Excel
  • Storm
  • Kafka

About the Live Virtual Classroom

Classes are delivered through a WebEx portal that includes a live instructor, a teaching assistant (TA) and a maximum of 20 participants. These sessions are highly interactive and students are free to ask questions, which are answered by the instructor/TA in real time.  Students will be able to sign up for live virtual sessions that fit within their schedule once they have access to the learning management system.

Certification

This program is not intended as an exam preparation program, but does cover some topics tested upon for the following certification exams.  For more information please reach out to each organization listed below:

Cloudera CCA175 Certification: https://www.cloudera.com/more/training/certification/cca-spark.html

Tableau Desktop 10 Associate Certification: https://www.tableau.com/support/certification

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Requirements

Eligibility

  • Be at least 18 years of age at the time of enrollment. 
  • Be comfortable with statistics and math concepts, have an analytical aptitude and a basic understanding of programming (at least 1 year of experience recommended)
  • Possess word processing and Internet skills.
  • Be fluent in the English language (including reading, writing and speaking).
  • Be familiar and comfortable with using online programs.
  • Be computer literate, have reliable Internet access and a valid email account.  (Please note: personal email accounts are preferred as they are less likely to trigger firewalls and spam filters.)
  • Have access to a computer that meets the program’s technical specifications.
  • Pay tuition in full.
  • Sign and return program Terms of Use form.

Admission is discretionary. The office of Duke Continuing Studies, Professional Certificate Programs, requires students be at least 18 years of age and meet minimum suitability standards. Students are not matriculated Duke University students and university student privileges do not apply to Continuing Studies students.

Duke Continuing Studies reserves the exclusive right, at its sole and absolute discretion, to withhold registration or require withdrawal from the program of any student or applicant. 

The materials used in this course, including video lessons, workbooks, quizzes and tests, are copyrighted. They are intended for individual use by registered students.  Unauthorized or illegal use, or attempted unauthorized or illegal use, of these materials may result in a suspension and/or cancellation of the user’s account.  

Certificate requirements

In order to receive a certificate from Duke University Continuing Studies students must successfully complete the five mandatory courses in this program with a score of 80% or higher on the final assessment test and one project per course.  Once all requirements have been met, students will be eligible for a program completion certificate. 

Quizzes and Testing

One graded test per course or sub-course is required, and students must pass with at least 80% accuracy.  Tests are timed and are in a multiple choice format.  Students will receive their grade upon completion of each test.  After three final test attempts students must request additional attempts individually. A waiting period of seven days is required for all attempts after the first three.  During this time, students may access other modules and continue their learning. 

Course quizzes test student’s knowledge in preparation for the cumulative test at the end of the course.  Quizzes are not graded assignments, but they will help students determine their level of understanding prior to taking the final assessment for each course.

Technical requirements

The following minimum technical requirements are supported*:

  • Windows XP, Windows 7, Windows 8, 1GB RAM, Flash player 11
  • Mac OS X, 1GB RAM, Flash player 11
  • iOS 8,  Android 4 (for apps)
     

Students must also have the following:

  • Adobe Acrobat Reader
  • Reliable internet connection with a bandwidth of at least 1Mpbs (typical DSL is 1.5 to 6Mbs) and web browser (Firefox, Chrome or Safari)
  • E-mail account (to be able to register and to receive email from the system regarding registration, course status, etc.)
  • A downloaded and installed version of R software from the CRAN website and RStudio for your operating system. (These are both open source, and the installation guidelines are presented in the course).
  • A computer that meets the following system requirements to run the Python program:
    • 32 or 64-bit Operating System
    • 1GB RAM

Technical questions should be directed to our affiliate, Simplilearn, by sending an email to dukestudents@simplilearn.com.

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Schedule & Registration

Registration

Registration is ongoing; therefore students can begin the program when it is convenient for them! Registration is not available June 24 - June 30 annually due to the close of the fiscal year for the university.

Note: our enrollment/registration system is a separate external system from that used for your online training and therefore access to online materials is not an automated process upon your registration and subsequent payment. Please allow a time delay of up to 5 business days to receive details via email regarding online access. This delay will not impact your “allotted” completion time for the program.

To enroll:

  • Register for this program and pay in full.
  • Upon returning the signed program policy disclosure to the Duke program manager, and email will be sent with login instructions.  Note: Our enrollment/registration system is a separate external system from that used for your online training and therefore access to online materials is not an automated process upon your registration and subsequent payment. Please allow a time delay of up to five business days to receive details via email regarding online access. This delay will not affect your “allotted” completion time for the program.
    • Please note personal email accounts are preferred as they are less likely to trigger fire walls and spam filters.
  • Log in and begin coursework.
    • Please note the 12 months of access begins on the date the access email is sent from Duke Continuing Studies. There is a calendar within the learning system to assist you with keeping track of time remaining in your 12 month window to complete the program.  No delayed starts will be permitted.
       

Registration Methods

1. Register Online using a credit card with our secure, real-time registration system. Add the course to your shopping cart and follow the instructions for checking out.

2. Register by Phone at 919-684-6259 or 1-866-edu-Duke during our business hours (Monday through Friday, 8:00am to 5:00pm EST) to register.

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Frequently Asked Questions

Who should take this course?

This course is ideal for professionals who wish to develop a broad and in-depth expertise in the entire spectrum of Big Data and Data Science related technologies. Some of the professionals who can directly benefit are individuals aspiring to build a career in analytics, project managers, mainframe professionals, software developers, testers, architects, analytics professionals, business/data analysts, or data warehouse professionals.

Are there any prerequisites for this program?

While there are no prerequisites needed to enroll in this program, we recommend students are comfortable with statistics and math concepts, have an analytical aptitude and a basic understanding of programming (at least one year of experience recommended).  No additional classes are required.

When is registration open?

Students may register anytime except during the week of June 24-30 annually. Online registration is available 24/7 and the Office of Continuing Studies is open via phone (excluding Duke holidays) for registration at 919 684-6259 (toll free 866-edu-duke) Monday through Friday, between the hours of 8am and 5pm EST.

After registering, when will students receive additional program details?

Upon returning the signed program policy, registered students will receive login information via email from Duke Continuing Studies.  Our enrollment/registration system is a separate external system from that used for your online training and therefore access to online materials is not an automated process upon your registration and subsequent payment. Please allow a time delay of up to five business days to receive details via email regarding online access. This delay will not affect your “allotted” completion time for the program.

Is this program offered online only?

Yes, Duke Continuing Studies only offers an online version of this custom program.  

Is this program affiliated with any other departments at Duke University?

This program is not affiliated with any other office at Duke and is offered exclusively through Duke Continuing Studies.

Does this program apply toward a degree?

No, this program is a non-credit (non-degree) offering and does not transfer towards a degree.

How long do students have access to this online program?

Students will have access to this program for 12 months from the date the access email is sent from Duke Continuing Studies.

How long does the program take to complete?

This certificate program is 300+ hours of combined instruction/study time that must be completed within 12 months (from the date of activation).  While completion time will vary by student, it is recommended that students commit between 5 and 10 hours per week to the coursework.

Is access to a computer required during this program? 

This is an exclusively online program and access to a reliable computer is required for the duration of the program. 

What are the technical requirements for accessing this online program?

See the Requirements section.

What courses will be available for live instructor led online classes?

Course Name Estimated no. of online classes available each month
Data Scientist with R programming 4
Big Data Hadoop and Spark Developer 7
Tableau Desktop 9 Qualified Associate 2
Data Science with Python 2
Machine Learning 1

Electives:

Course Name Estimated no. of online classes available each month
Data Science with SAS Training 2
Apache Spark and Scala 1
MongoDB Developer and Administrator 1
Big Data and Hadoop Administrator 2

If a student is absent from one live virtual classroom session, how can that absence be accounted for?

The program offers flexible class sessions, which enable students to attend alternate sessions as needed.

Are live virtual classroom sessions ever cancelled?

In the rare case that the classroom time you signed up for is cancelled for any reason, there are other opportunities for students to attend.

Are extensions granted to students who request them?

A one-time 90 day extension may be granted to students who demonstrate in writing (via email to datascience@duke.edu) the reason they require an extension.  Requests will be considered by the Program Manager and a response will be delivered via email. It is at the discretion of the Program Manager to determine if the situation warrants an extension.

What is the refund policy for these courses?

There are no refunds given for online courses and tuition cannot be applied to other programs offered by Duke Continuing Studies.

If a student is having difficulty with one of the final course exams, can they move on to another course? 

Yes, students may progress through these courses in any order desired.

How do students earn a certificate of completion from Duke Continuing Studies? 

Students who complete all tests and projects with an average score of 80% or higher within the given time frame and pay tuition in full (upon registration) will receive a certificate of completion from Duke Continuing Studies.

Can students download program files to save for later use?

The materials used in this course, including video lessons, workbooks, quizzes and tests, are copyrighted. They are intended for individual use by registered students.  Unauthorized or illegal use, or attempted unauthorized or illegal use, of these materials may result in a suspension and/or cancellation of the user’s account.

Study guides are available for download, and a mobile app allows for offline viewing of content.

Will the university staff assist me in finding a position upon completion of this program?

It is incumbent upon the student to seek his/her own employment through their own endeavors. Duke Office of Continuing Studies provides no assistance with job search, career placement and/or internships nor make any claim or warrant this program will result in obtaining a position of a result of completion.

While we cannot guarantee a position will be obtained, we can assure you that you will receive comprehensive training to enhance your big data and data science skill set.

How can students contact technical support?

Technical questions should be directed to our affiliate, Simplilearn, by sending an email to dukestudents@simplilearn.com. Hours of support are from 8:00 am to 5:00 pm Monday through Friday, Pacific time.  Technical support issues submitted prior to 2:00 pm Monday through Friday will typically be handled the same day, and in most cases no later than the next business day.

Who is Simplilearn?

Duke Continuing Studies is collaborating with Simplilearn to offer this course.  Simplilearn is one of the world’s leading certification training providers, providing online training in disciplines such as Cyber Security, Cloud Computing, Project Management, Digital Marketing, and Data Science, where technologies and best practices are changing rapidly and demand for qualified candidates significantly exceeds supply.

 

 

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Instructors

Ronald van Loon

A top 10 Big Data & Data Science Influencer, named one of the top three most influential personalities of Big Data in 2016 by Onalytica, Ronald van Loon is a regular speaker at renowned events and conferences. He is also a guest author on leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian.

Simon Tavasoli

As the Analytics Lead at Cancer Care Ontario, Simon Tavasoli is a Data Scientist with 12 years of experience in healthcare analytics. He has a Masters in Biostatistics from the University of Western Ontario. Simon is passionate about teaching data science and has a number of journal publications in preventive medicine analytics.

Paul Sharkov

Paul is lead SAS Data Scientist at Bank of Montreal. As an SAS Certified Predictive Modeler, SAS Statistical Business Analyst, and SAS Certified Advanced Programmer, Paul is passionate about sharing his knowledge on how data science can support data-driven business decisions and is active in the SAS Canada Community.

Alvaro Fuentes

Alvaro, a Data Scientist and founder of Quant Company, has also worked as a lead Economic analyst in the Central Bank of Guatemala. He has a M.S. in Quantitative Economics and Applied Mathematics and is actively involved in consulting and training in the data science space.

Please note that the live virtual classrooms are taught by qualified industry subject matter experts in alignment with the curriculum designed by the instructors listed above.

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Tuition & Funding Sources

Tuition

$2995

Payment is due in full upon registration. Loans, from US based organizations, must be certified and approved by Duke Continuing Studies prior to starting program.

There are no books required for this program. Study guides for each module will be available for download.

Funding Sources

Our Professional Certificate programs are non-credit (not degree applicable); therefore, they are NOT eligible for federal education loans. DO NOT SUBMIT FAFSA FORMS for these programs. Some of our programs may offer payment plans. Please see individual program web pages for those details.

No loans (Wells Fargo Graduate loan, Sallie Mae Smart Option Undergraduate loan, etc.) can be construed to imply any degree-seeking status for students of Duke Continuing studies. Duke Continuing Studies courses are non-credit.

Duke Continuing Studies (DCS) will not certify (approve) loan amounts greater than the amount of the tuition regardless of the amount approved by the lending agency. DCS reserves the right to reject any loan which exceeds the tuition amount. DCS will not be responsible for refunding monies in excess of the tuition. Students needing to secure loan funding for books or other items in relation to the program are responsible for making separate loan arrangements with the funding agency. No loan funds will be refunded to the student.

Should a student choose to borrow less than the tuition amount, the balance must be paid prior to the close of the registration period.

Loan Options

Your local bank may offer other options for loans or a "line of credit" service. Contact your bank for more information on financing choices.

Wire Transfers

Contact our registration office at learnmore@duke.edu for details on how to send wire transfers.  Very specific instructions must be followed in order for our office to receive a successful transfer.

Other Funding Sources

The funding options listed below may not be applicable to all programs at this time. Please contact the organization offering the funding to see if you qualify and if the funds can be used for the program in which you are interested.

Sallie Mae Smart Option Loan

To apply for this private student loan, visit Sallie Mae’s website, select the Undergraduate Student Loan and then click Apply Now.   The following application should populate with the pertinent information for Duke Continuing Studies.

•    Scroll over Student Loans on the top of screen
•    Select Smart Option Student Loan under Undergraduate Student Loans
•    Click Get Started
•    Fill out Student General Information
•    Fill out Permanent Address
•    Fill out School Information

•    DUKE PROFESSIONAL CERTIFICATES, DURHAM, NC, 00292099 should already have populated for the school
•    Select Certificate for Degree/Certificate of Study
•    Select your Specialty or select Other if it is not shown in the options
•    Select Half Time for Enrollment Status
•    Select Certificate/Continuing Ed for Grade Level
•    Enter your Academic Period of the Loan
•    Enter your Anticipated Graduation / Completion

•     Follow the remaining loan application prompts

Wells Fargo Graduate Loan

For information on the Wells Fargo Graduate Loan, please see this Disclosure document. To apply for this loan, visit Wells Fargo. Duke Continuing Studies will be required to certify your loan application for the Graduate Loan should you be approved by Wells Fargo.

You will need to enter the following information after clicking on Apply Now in the Before Starting Your Application section:

  • Find a loan for: Graduate School Expenses
  • I am a: Student
  • School state: North Carolina
  • School name: please type Duke University Continuing Education
  • Grade Level: Beyond 3rd Year Graduate
  • Field of Study: Undecided or select Other and type in the field of study
  • Citizenship: Select as appropriate

Duke Hospital Employees

Duke University Hospital employees may be eligible for support from the Employee Development Initiative (EDI), which helps employees pay for short-term career-related programs, workshops, and seminars. For more information, visit the Employee Development Initiative site or call Duke Hospital Human Resources at (919) 668-2170.

Workforce Investment Act

The WIA provides professional and basic skills training services to those who have been unable to find employment. Please keep in mind that this process can be lengthy, so plan to apply well in advance of the program start date.  For more information on eligibility, the application process, or to find your local Workforce Development Board, visit the NC JobLink Career Center website.

AmeriCorps

AmeriCorps Education Awards are available only for AmeriCorps volunteers and can be used for educational expenses for non-degree courses, such as Continuing Education courses offered by qualified schools. For more information on qualified schools and programs, contact the National Service Trust at 1-800-942-2677, or visit the FAQ page of the AmeriCorps website.

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Policies & Procedures

Refunds for Online Courses

There are no refunds or cancellations for online courses.

Tax Deductions

Course fees and expenses are sometimes tax deductible. Please consult an accountant concerning this matter. Non-credit programs at Duke Continuing Studies do not generate 1098-T forms, in accordance with the following IRS guideline:

Instructions for Forms 1098-E and 1098-T published by the Department of the Treasury, Internal Revenue Service, states “You do not have to file Form 1098-T or furnish a statement for: Courses for which no academic credit is offered, even if the student is otherwise enrolled in a degree program…”

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