Course information

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
    • Operationalise

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 Course 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 Course.

Big Data Analytics & Data Science Integration Course Overview

The Big Data Analytics & Data Science Integration Course is designed to explore the synergy between big data analytics and data science methodologies, providing a comprehensive understanding of their integration. Participants 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 organisations. Data scientists, analysts, IT professionals, and business strategists 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 1-day training 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 frameworks, empowering them to extract 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 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, make data-driven decisions, 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

Why choose us

Our Melbourne venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Melbourne is the capital city of the Australian state – Victoria. The population of Melbourne is around 4,500,000 people with its inhabitants known as Melburnians. The metropolitan area is located on the extended natural bay of Port Phillip and expands towards the Dandenong and Macedon mountain ranges. Melbourne was transformed into one of the world’s wealthiest and largest cities during the 1850s gold rush. Melbourne’s economy has particular strengths in areas such as finance, manufacturing, research, IT, education, logistics, transportation, and tourism. Melbourne is also home to the world’s largest mining company BHP Billiton. The seaport in Melbourne is Australia’s largest and handles more than $75 billion in trade every year. There are around 9 million visitors every year, this plays and important role in the economy with an annual $16 billion being brought in on tourism alone. Melbourne is home to many of Australia’s most prominent and well-known schools. Six out of 20 of the best ranked schools in Australia are located in Melbourne. Melbourne was further ranked the world’s fourth top University City just after London, Boston, and Tokyo. The University of Melbourne was ranked top among Australian universities in the 2010 THES international rankings. The University has approximately 43,000 students and 4,000 teach staff. The University of Melbourne is highly ranked in many academic areas such as Law, Computer Science & IT, Arts and Humanities, Dentistry and, Medicine. There are a number of private international schools which includes The Japanese School of Melbourne which is a weekend programme for Japanese Australian and Japanese national students. There are a number of other well-known universities in Australia including the Royal Melbourne Institute of Technology, La Trobe University, and Swinburne University of Technology. An increase in international students attending university in Melbourne has resulted in an increase in the number of places being made available to students.

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Address

Contact us for more information

T: +61 272026926

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 Training Course in Melbourne. 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 Training Course in Melbourne, 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.

Experience the most sought-after learning style with The Knowledge Academy's Big Data Analytics & Data Science Integration Training Course in Melbourne. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Big Data Analytics & Data Science Integration Training Course in Melbourne sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Big Data Analytics & Data Science Integration Training Course in Melbourne FAQs

Please arrive at the venue at 8:45am.
No prerequisites are required for this course.
Anybody wishing to pursue a career in Big Data and Data Science can attend this course. This course is well-suited for: Business Analyst Data Analysts Database Professionals Business Intelligence Managers Graduates who wish to build a career in data science
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 2 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The training fees for Big Data Analytics & Data Science Integration Course certification in Melbourne starts from AUD4795
The Knowledge Academy is the Leading global training provider for Big Data Analytics & Data Science Integration Course.
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Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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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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