Online

Data Science and Big Data Analytics

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. 

Pumpedu
Poskytovatel kurzu
40 hodin
Začátečník
English
IT & Programování
42 800 Kč
Pumpedu
Přejděte na web

Přehled kurzu

Délka
40 hodin
Úroveň
Začátečník
Formát
Online
Jazyk
Angličtina
Cena
od 42 800 Kč

O kurzu

Tyto autorizované kurzy jsou dostupné pouze v anglickém jazyce, proto i popis školení není přeložen.



Školení dodává autorizovaný distributor DNS a.s.



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 by a practicing data scientist.



The course takes an "open", or technology-neutral approach and includes a final lab which addresses 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 Dell EMC Proven™ Professional Data Scientist Associate (EMCDSA) certification exam.

Co se naučíte

Upon successful completion of this course, participants should be able to:
Immediately participate as a data science team member
Work with large data sets and generate insights
Build predictive and classification models
Manage a data analytics project through the entire lifecycle

Požadavky

  • 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

Osnova kurzu

1

Big Data and its characteristics Lesson

  • Business value from Big Data
  • Data scientist
  • Data analytics lifecycle overview
  • Discovery phase
  • Data preparation phase
  • Model planning phase
  • Model building phase
  • Communicate results phase
  • Operationalize phase
  • Introduction to the R programming language
  • Analyzing and exploring data
  • Statistics for model building and evaluation
  • Introduction to advanced analytics—theory and methods. It includes an introduction to Big Data and the data analytics lifecycle to address business challenges that leverage Big Data.
  • K-means clustering
  • Association rules
  • Linear regression
  • Logistic regression
  • Text analysis
  • Naïve Bayes
  • Decision trees
  • Time series analysis
  • Introduction to advanced analytics—technology and tools
  • Hadoop ecosystem
  • In-database analytics SQL essentials
  • Advanced SQL and MADlib
  • Preparing to operationalize
  • Preparing project presentations
  • Data visualization techniques

Pro koho je kurz vhodný?

  • 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

Důležité informace

Materiály
Materials are in electronic form from Dell Technologies.
Kód kurzu
PU23010055
Pumpedu
Kurz nabízí

Pumpedu

www.pumpedu.cz
Navštívit web

Podobné nabídky

Zobrazit vše