The Complete Course on Data Science and Big Data Analytics Virtual Training

This training course will provide a practical 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

COURSE CONTENT

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

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

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

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

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

TRAINING METHODOLOGY

The training methodology combines lectures, discussions, group exercises and illustrations. Participants will gain both theoretical and practical knowledge of the topics. The emphasis is on the practical application of the topics and as a result participant will go back to the workplace with both the ability and the confidence to apply the techniques learned to their duties.

DATE:

1ST BATCH: 20th – 22nd June, 2022                         

2ND BATCH: 5th – 7th Dec, 2022