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 Complete Course on Data Science & Big Data Analytics 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 training 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
What are the goals?
By the end of this training course, participants will be able to:
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
Successfully achieve results from applying best practice in Data Analytics
Who is this training course for?
This training course has been designed for senior executives, technical engineers and those involved in the technology, research and statistical analysis of corporate data.
This training course is suitable to a wide range of professionals but will greatly benefit:
Statistical and Research Analysts
Key Application Development and data Research Personnel
Technology Engineers, CTO and CIO
Strategic Development Directors
Course Outline
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 Visualization Overview
Summary ad Case Study
The certificate
Coventry Academy Certificate of Completion for delegates who attend and complete the training course