Certified Big Data Science Professional (Module 1) KnowLogic Center for Management & Training
Price: USD 953
  • Duration: 15 Hours
  • Timings: Part Time,Weekend,Evening, Flexible

    Course details

    KnowLogic Center is a Licensed Training Partner with Arcitura (Big Data science School) the certifying body for Big Data professional Certifications. Our training program is made up of comprehensive preparation classes, revision sessions, and a complete set of training materials. Our program is delivered by Sr. Scientist (Professor in Data Science from Lyon University - France)

    What will I learn?

    • Key characteristics of Big Data
    • The structures that can be found in "unstructured" data
    • Types of Big Data sources
    • Value opportunities and common applications for Big Data
    • Considerations when adapting and incorporating Big Data
    • The scope of Big Data processes, tools, and technologies
    • Understanding customer behavior

    Target Audience:

    Performance improvement and strategy specialists; Business and data analysts; BI project managers; BI and data warehouse architects; designers and developers; data governance and data quality professionals; and anyone seeking to cut through the hype to understand the opportunities, challenges, and realities of the big data phenomenon.

    Benefits of the course:

    This program explores a range of the most relevant topics that pertain to Big Data environments. The course content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that enable participants to develop a comprehensive understanding of the common analysis functions and features offered by Big Data solutions.

    Updated on 20 November, 2017
    Are you from KnowLogic Center for Management & Training ? Claim your course!
    Courses you can instantly connect with... Do an online course on Data Science starting now. See all courses

    Is this the right course for you?

    Rate this page

    Didn't find what you were looking for ?

    or