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.
max. 8 weeks
Estimated time per week
Data scientists, Analysts, BI developers
What will I learn?
Identify big data analytics revolution trends
Compare and contrast big data analytics distribution models
Prepare complex data analysis and models
Interpret outputs of the quantitative analysis and statistical models to performs specific actions based on business implications
Analyze key areas for successful big data analytics transformation and value creation across the value chain
Determine the differences and use cases between various statistical and data mining techniques (regression, decision, tree, clustering, neural networks)
Apply statistical modeling and optimization techniques (using R, Python, SQL) for various business problems
How will I learn?
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 free 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