The Complete Course on Data Science and Big Data Analytics

Details :

Information can exist in many forms and sources. The ability to extract, model and analyse information, can provide significant commercial benefits. Big Data Analytics can assist organisations identify trends and adjust operational procedures to harness the results, to increase revenue and client experience.

This information technology training course will provide a practitioner approach to identify requirements for the application of data science, how these can be adopted, technologies available, which analytical models may be appropriate to provide valuable data, and how to make sense of Big Data and Analytics.

This course will feature:

  • An Overview of Big Data Analytics
  • Adaptation and Approach of Lifecycles and Models
  • Methods and Models for Statistical Evaluation
  • Advance Methods and Models for Big Data Analytics
  • How to Select Appropriate Tools to Achieve the Best from Data Analytics
  • Understand the role of Big Data for their organization
  • Appreciate when to apply Data Analytics and the Best Methods of Approach
  • Consider How to Choose Appropriate Models and Technology for Big Data
  • Learn from case study examples and use case scenarios
  • How to successfully achieve results from applying best practice in Data Analytics
  • Statistical and Research Analysts
  • Key Application Development and data Research Personnel
  • Technology Engineers, CTO and CIO
  • Strategic Development Directors

Day One: Big Data Analytics

  • Current Practices and trends in Big Data Analytics
  • Business Intelligence v Data Science
  • Analytical Architecture for Big Data
  • Roles for Big Data within the Technology and Commercial Enterprise
  • Key Drivers for Big Data Analytics
  • Case Study and Summary


Day Two: Data Analytics Models and Lifecycle

  • Data Analytics Lifecycle
    • Stage 1 - Discovery
    • Stage 2 - Preparation of Data
    • Stage 3 - Model Planning and Review
    • Stage 4 - Model Creation
    • Stage 5 - Communication Plan
    • Stage 6 - From Planning to Operation
  • Case Study and Summary


Day Three: Data Analytical Methods and Programs Overview

  • Overview of R Framework
  • Overview of Big Data Analytics
  • Exploratory Data Analysis
  • Statistical methods of Evaluation
  • Advanced Methods of Clustering
  • Advanced Theory and Methods of Association Rules
  • Advanced Theory and Methods of Regression
  • Case Study and Summary


Day Four: Advanced Theory and Methods Overview

  • Advanced Analytical Theory of Classification
  • Advanced Analytical Theory of Time Series Analysis
  • Advanced Analytical Theory of Textual Analysis
  • Technology and Tools for Advanced Data Analytics
  • Use Case and Assessment
  • Case Study and Summary


Day Five: Technology, Tools and Achieving Results

  • Unstructured Data Analytics
  • Advanced Analytical Tools in Database Analytics
  • How integrate Data Analytics
  • Current Best Practice Management and Approach for Project Delivery
  • Data Visualation Overview
  • Summary ad Case Study
  • All lectures are in colorful presentation
  • All lectures are interspersed with interactive discussion
  • All lectures include group discussion, case history and exercises
  • Actual major incidents as well as industry experience are reviewed
  • Participants receive a multicolor course manual
  • Pictures of real incidents and case history are shown
  • Videos on the subject are shown

daily 09:00 – 14:00