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Whether you are tracking the efficiency of a warehouse or predicting how and when to modify staffing levels in a call center, this training course equips you with the essential knowledge and skills required to reach the next level of decision-making maturity. You will learn to derive value from vast amounts of untapped data and apply data analytics techniques for smart, data-driven decision-making.
Exploratory Data Analysis with R
Facilitating good analytical thinking with data visualization
Mining unstructured data for business applications
Coping with the additional complexities of Big Data
Estimating future values with linear and logistic regression
Regression techniques for dealing with Big Data
Automating the labeling of new data items
Assessing model performance
Identifying previously unknown groupings within a data set
Discovering connections with Link Analysis
Building and evaluating association rules
Constructing recommendation engines
Expanding analytic capabilities
Dissemination and Big Data policies
Course Tuition Includes:
After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.
After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.
Free Course Exam
You can take your Learning Tree course exam on the last day of your course or online at any time after class and receive a Certificate of Achievement with the designation "Awarded with Distinction."
Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm
FREE Online Course Exam (if applicable) – Last Day: 3:30 pm – 4:30 pm
By successfully completing your FREE online course exam, you will: