Fundamental Big Data Analysis & Science
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Module 4
Fundamental Big Data Analysis & Science

This course provides an in-depth overview of essential topic areas pertaining to data science and analysis techniques relevant and unique to Big Data with an emphasis on how analysis and analytics need to be carried out individually and collectively in support of the distinct characteristics, requirements and challenges associated with Big Data datasets.

The following primary topics are covered:

  • Data Science, Data Mining & Data Modeling
  • Big Data Dataset Categories
  • Exploratory Data Analysis (EDA) (including numerical summaries, rules & data reduction)
  • EDA analysis types (including univariate, bivariate & multivariate)
  • Essential Statistics (including variable categories & relevant mathematics)
  • Statistics Analysis (including descriptive, inferential, correlation, covariance & hypothesis testing)
  • Data Munging & Machine Learning
  • Variables & Basic Mathematical Notations
  • Statistical Measures & Statistical Inference
  • Distributions & Data Processing Techniques
  • Data Discretization, Binning, Clustering
  • Visualization Techniques & Numerical Summaries
  • Correlation for Big Data
  • Time Series Analysis for Big Data

Duration: 1 Day

Taking the Course at a Workshop

This course can be taken as part of public or private instructor-led workshops. Visit the Workshop Calendar page to view the current calendar of public workshops or contact info@arcitura.com to inquire about private workshop delivery.

The following materials are provided to public and private workshop participants:

Note that as a workshop participant, you may be eligible for discounts on the purchase of the self-study kit and Pearson VUE exam voucher for this course.

Taking the Course using a Self-Study Kit

This course can be completed via self-study by purchasing a self-study kit, which includes the base course materials as well as additional supplements and resources designed specifically for self-paced study and exam preparation.

Fundamental Big Data Analysis & Science Module 4 Self-Study Kit [ order ]

Visit the Self-Study Kits page for pricing information and for details regarding discounted self-study kit bundles for individual certification tracks. The following materials are provided in the self-study kit for this course:

Module 4 Self-Study GuideModule 4
Self-Study Guide

Doing Data Science Doing Data Science Text Book
Analysis SupplementAnalysis Supplement

Audio Tutor CD 1 Overview Part IAudio Tutor CD 1
Overview
Part I
Audio Tutor CD 2 Overview Part IIAudio Tutor CD 2
Overview
Part II
Audio Tutor CD 3 Exam PreparationAudio Tutor CD 3
Exam Preparation
Array Flash Cards33 Flash Cards
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This self-study kit can be purchased using the Online Store.

Note that by purchasing and registering this self-study kit, you may be eligible for discounts on the registration of this course as part of a workshop.

Certifications

This course corresponds to Exam B90.04, which is required for the following certifications:

Vendor-Neutral Topic Overview

Note that all BDSCP course modules are focused on vendor-neutral Big Data topics and therefore do not provide detailed coverage of any vendor-specific platforms or technologies. BDSCP courses are intentionally authored this way so as to provide an unambiguous and objective understanding of Big Data practices and technology that can be further complemented with product-specific training.

Fact Sheet

Download a printable PDF document with information about this course module and its corresponding self-study kit.

Pearson VUE Exams

A self-study kit is available for each Pearson VUE exam: www.pearsonvue.com/arcitura/

Self-Study Kits

A self-study kit is available for each Pearson VUE exam, allowing you to study remotely and at your own pace. For information about the latest available Self-Study Kits, visit the Self-Study page.

Instructor-Led Workshops

The following public workshops are currently scheduled. Additional workshops are often added on short notice. For information regarding private instructor-led workshops delivered to your location, contact: info@arcitura.com