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AIA6550

Data Sciences for Decision Making

Learn the foundation of how to apply advanced analytics skills to complex data analysis and modes. You’ll build an understanding of design, data analytics tools, and advanced analytics translators to communicate complex data-related requirements between data engineers, business, and IT stakeholders.

The course examines four major areas; the momentum gains in the data and analytics revolution; the five elements of successful data analytics transformation; the mapping value in data ecosystems, and data analysis; the models of distribution.

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Course level

Course level

Graduate

Course duration

Course duration

max. 8 weeks

Estimated time per week

Estimated time per week

10-15 hours

Course prerequisites

Course prerequisites

None

Cost

Cost

$ -

Course credits

Course credits

3

Relevant jobs

Relevant jobs

Data scientists, Analysts, BI developers

What will I learn?

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Identify big data analytics revolution trends

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Compare and contrast big data analytics distribution models

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Prepare complex data analysis and models

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Interpret outputs of the quantitative analysis and statistical models to performs specific actions based on business implications

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Analyze key areas for successful big data analytics transformation and value creation across the value chain

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Determine the differences and use cases between various statistical and data mining techniques (regression, decision, tree, clustering, neural networks)

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Apply statistical modeling and optimization techniques (using R, Python, SQL) for various business problems

Key Skills

Big dataData analyticsData modelingStatistical modeling

How will I learn?

Learning Experience

Your course starts on the first of the month. Each course consists of six modules, each module will take you one week to complete and each course is designed to take you eight weeks to complete. Nexford’s learning design team has purposefully created courses to equip you with competencies mapped to the skills employers are looking for. Each course has 5-7 learning outcomes based on the skills employers need. Everything you learn gives you measurable skills you will use to succeed in today’s world of work.

Nexford courses are not live or recorded lectures. Instead, they’re reading, videos, interactive elements, quizzes and relevant case studies. Programs include assessments, peer-to-peer discussions, and a final project to practice what you’ve learned in a real-world context. Program content is available 24/7 during the course, and you have opportunities for collaboration and networking with learners during and after your program. Our global community of learners work at top companies such as Microsoft, Deloitte, and Google.

You'll have 24/7 access to success advisors to support you. Faculty also provide you world-class support. Book appointments with them, get individual feedback, and attend regular optional webinars. Nexford courses are rigorous and they encourage critical thinking - because we care about what you know how to do not what you know you have regular hands-on assessments reflecting the business world.

Course Outline
ModulesAssignment Due Date
1: Big data analytics revolutionDay 10
2: Successful data analytics transformationDay 17
3: Value chain ecosystem implication on models of distribution in big data analyticsDay 24
4: Business models offering via big data analyticsDay 31
5: Data mining and statistical modeling techniquesDay 38
6: Data analytics impact on business recommendationsDay 45 (optional)
7: Final projectDay 51
How will I be graded?

Across the duration of the course, you will undertake five Formative Assessments and one Final Project.

The summative assessment is your final project and achieving a passing grade on this assessment is required to pass the course. The minimum passing grade at Nexford University is a C or above. (70% or above).

Grading Scale
Grading Weights
A 90%-100%Module Assignments30%
B 80%-89%
C70-79%Final Project Milestones30%
F< 70%
IIncompleteFinal Project40%
WWithdrawnTotal100%
What will I get after completing the course?

You'll get real skills you can use at work, straight away. At the end of each course, you'll also get a digital badge that you can put on your LinkedIn profile to showcase your skills.

Once you've taken one course, you can take more. Using stacked credentials, you’re able to take enough courses to make a certificate, and take enough certificates to build a degree.

If you apply for a Nexford certificate or degree, you'll get credit for each course you take.

What support will I receive?

When you have a dedicated team on your side, you'll never be alone studying at Nexford. Hailing from many different countries and with online education expertise, our faculty provides you world-class support. Ask them questions during one-to-one office hours or live chat , email them any time, and get individual feedback on your assessments.

Whilst you’re learning, you’ll also have full access to the Nexford online library, which includes access to millions of full-text articles, industry reports and key sources such as the Wall Street Journal, the Financial Times and The Economist.

LinkedIn Learning: unlimited access with Nexford

Support your Nexford goals with access to LinkedIn Learning during your program, at no additional cost. Explore the learning hub of the globe’s biggest professional networking platform to:

  • Power your career: choose from over 16,000 expert-led courses, from remote working to data science
  • Show off your skills: earn a certificate when you complete a course
  • See what’s trending: LinkedIn Learning adds 25 new courses each week
  • Tailor your learning: choose relevant courses based on your experience, LinkedIn profile and goals
  • Test what you’ve learned: use LinkedIn Learning assessments

Questions? We’re here to help

Frequently asked questions

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My weekly reflective journal is my Nexford highlight. Thanks to faculty support, I continually apply principles to my enterprise – and I've been able to scale beyond considerable measure.

Siramene Teeh Ngbor
Siramene Teeh NgborCountry flag
Current BBA learner