Big Data Analytics & Data Science Integration Course Overview

Big Data Analytics & Data Science Integration Course Outline

Module 1: Big Data Analytics

  • Big Data Analytics
  • Bigdata
  • State of Practice in Analytics
  • Main Roles for New Big Data Ecosystem

Module 2: Data Analytics Lifecycle

  • Phases of Data Analytics Lifecycle
  • Discovery
  • Data Preparation
  • Model Planning
  • Model Building
  • Communicate Results
  • Operationalize

Module 3: Basic Data Analytic Methods Using R

  • R Programming Language
  • Evolution of R
  • Features of R
  • R Programming Language
  • Exploratory Data Analysis
  • Confirmatory Data Analysis
  • Statistical Methods for Evaluation
  • Regression
  • Classification

Module 4: Introduction to Clustering

  • Applications of Clustering
  • Marketing
  • Retail
  • Medical Science
  • Sociology

Module 5: Association Rules

  • Introduction
  • Apriori Algorithm
  • Applications of Association Rules
  • Validation and Testing

Module 6: Regression

  • Regression Analysis
  • Linear Regression
  • Logistic Regression

Module 7: Classification

  • Decision Tree
  • Decision Tree Example
  • Naïve Bayes

Module 8: Time Series Analysis

  • Introduction
  • Syntax

Module 9: Text Analysis

  • Introduction
  • Term Frequency – Inverse Document Frequency

Module 10: MapReduce and Hadoop

  • Big Data: Types of Big Data
  • Hadoop
  • Hadoop Architecture
  • NoSQL

Module 11: In-Database Analytics

  • In-Database Analytics
  • SQL Essentials
  • Advanced SQL

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Who should attend this Big Data Analytics & Data Science Integration Course? 

The Big Data Analytics & Data Science Integration Training Course in the United States is designed to integrate the principles of Data Science with the tools and technologies needed to deal with Big Data. This course can benefit a wide range of professionals, including:

  • Data Scientists
  • Data Analysts
  • Software Engineers
  • Managers 
  • IT Professionals
  • Entrepreneurs
  • Business Analysts

Prerequisites of the Big Data Analytics & Data Science Integration Course

There are no formal prerequisites for this Big Data Analytics & Data Science Integration Training Course.

Big Data Analytics & Data Science Integration Course Overview

The Big Data Analytics & Data Science Integration Course in the United States is designed to explore the synergy between Big Data Analytics and Data Science methodologies, providing a comprehensive understanding of their integration. Delegates will delve into the core concepts, tools, and techniques essential for extracting meaningful insights from vast datasets.

Proficiency in Big Data Analytics and Data Science is paramount for professionals aiming to drive data-driven decision-making within their organizations. Data Scientists, Analysts, IT professionals, and business strategists in the United States should aspire to master this domain. This course is tailored for individuals seeking to elevate their skills in the realm of data analysis and interpretation.

This intensive 2-day training in the United States offers delegates a unique opportunity to bridge the gap between Big Data Analytics and Data Science. Through hands-on workshops, real-world case studies, and interactive sessions, participants will acquire practical skills in data preprocessing, predictive modelling, and data visualisation. By the end of the training, delegates will be proficient in leveraging cutting-edge tools and extracting actionable insights from complex datasets.

Course Objectives:

  • To understand the fundamentals of Big Data Analytics and Data Science integration
  • To master data preprocessing techniques, including data cleaning and transformation
  • To explore advanced predictive modelling algorithms for accurate data analysis
  • To learn to extract insights from unstructured data using natural language processing
  • To understand the ethical considerations and challenges in Big Data Analytics

Upon completing the Big Data Analytics & Data Science Integration Course, delegates in the United States will gain a comprehensive understanding of the synergy between Data Analytics and Data Science, allowing them to effectively bridge the gap between these two disciplines. This knowledge will empower them to tackle complex data-related challenges and excel in their roles in the ever-evolving field of data analysis and science.

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What’s included in this Big Data Analytics & Data Science Integration Course?

  • World-Class Training Sessions from Experienced Instructors   
  • Big Data Analytics & Data Science Integration Certificate
  • Digital Delegate Pack

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data Analytics & Data Science Integration Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Big Data Analytics & Data Science Integration Course, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

Big Data Analytics & Data Science Integration Course FAQs

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The training fees for certification in the United States starts from $3195
The Knowledge Academy is the Leading global training provider for .
Please see our courses available in the United States
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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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