> > > MR-1CP-DSBDA

Data Science and Big Data Analytics (MR-1CP-DSBDA)

Descripcion de Curso Calendario
 

Quién debería asistir

This course is intended for individuals seeking to develop an understanding of Data Science from the perspective of a practicing Data Scientist, including:

  • Managers of teams of business intelligence, analytics, and big data professionals
  • Current Business and Data Analysts looking to add big data analytics to their skills.
  • Data and database professionals looking to exploit their analytic skills in a big data environment
  • Recent college graduates and graduate students with academic experience in a related discipline looking to move into the world of data science and big data
  • Individuals seeking to take advantage of the EMC Proven™ Professional Data Scientist Associate (EMCDSA) certification

Prerrequisitos

To complete this course successfully and gain the maximum benefits from it, a student should have the following knowledge and skill sets:

  • A strong quantitative background with a solid understanding of basic statistics, as would be found in a statistics 101 level course
  • Experience with a scripting language, such as Java, Perl, or Python (or R). Many of the lab examples taught in the course use R (with an RStudio GUI), which is an open source statistical tool and programming
  • Experience with SQL (some course examples use

Consider the above as a list of specific prerequisite (or refresher) training and reading to be completed prior to enrolling for or attending this course. Having this requisite background will help ensure a positive experience in the class, and enable students to build on their expertise to learn many of the more advanced tools and analytical methods taught in the course.

Objetivos del curso

Upon successful completion of this course, participants should be able to:

Immediately participate and contribute as a Data Science Team Member on big data and other analytics projects by:

  • Deploying the Data Analytics Lifecycle to address big data analytics projects
  • Reframing a business challenge as an analytics challenge
  • Applying appropriate analytic techniques and tools to analyze big data, create statistical models, and identify insights that can lead to actionable results
  • Selecting appropriate data visualizations to clearly communicate analytic insights to business sponsors and analytic audiences
  • Using tools such as: R and RStudio, MapReduce/Hadoop, in-database analytics, Window and MADlib functions
  • Explain how advanced analytics can be leveraged to create competitive advantage and how the data scientist role and skills differ from those of a traditional business intelligence analyst

Contenido del curso

This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real-world business challenges as a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab in which students address a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam.

Classroom training
Modality: C

Duración 5 días

Precio (sin incluir impuestos)
  • Panama: US$ 5.000,-
  • Argentina: US$ 5.000,-
  • Brasil: US$ 5.000,-
  • Chile: US$ 5.000,-
  • Colombia: US$ 5.000,-
  • México: US$ 5.000,-
  • Perú: US$ 5.000,-
Fechas y Registro
Modality: P
Precio (sin incluir impuestos)
  • Panama: US$ 600,-
  • Brasil: 2.326,- BRL
Buy E-Learning
 
Presionar el boton sobre el nombre de la ciudad para reservar Calendario
Este es un curso en línea Guiado por un Instructor
Este es un curso FLEX, que es entregado tanto virtualmente como en el salón de clase.
América Latina
Argentina
Feb 11, 2019 - Feb 15, 2019 Entrenamiento en línea Zona Horaria: America/Buenos_Aires Lenguaje del curso: Español
Chile
Feb 11, 2019 - Feb 15, 2019 Entrenamiento en línea Zona Horaria: America/Santiago Lenguaje del curso: Español
Colombia
Feb 11, 2019 - Feb 15, 2019 Entrenamiento en línea Zona Horaria: America/Bogota Lenguaje del curso: Español
México
Feb 11, 2019 - Feb 15, 2019 FLEX training Curso FLEX. Lenguaje: Español
Zona Horaria: America/Mexico_City
Perú
Feb 11, 2019 - Feb 15, 2019 Entrenamiento en línea Zona Horaria: America/Lima Lenguaje del curso: Español
Europa
Alemania
Jul 15, 2019 - Jul 19, 2019 Schwalbach Lenguaje del curso: Inglés Este curso será presentado por un socio
Jul 15, 2019 - Jul 19, 2019 Entrenamiento en línea Zona Horaria: Europe/Berlin Lenguaje del curso: Inglés Este curso será presentado por un socio
Oriente Medio
Emiratos Árabes Unidos
Mar 31, 2019 - Apr 4, 2019 Dubai Lenguaje del curso: Inglés This course is being delivered by iTLS.
Jun 23, 2019 - Jun 27, 2019 Dubai Lenguaje del curso: Inglés This course is being delivered by iTLS.