The Complete Course on
Data Science & Big Data Analytics

If your organization is moving forward and not stuck in the past, you’re already exploring the opportunities of Big Data and Data Science. By learning to extract valuable patterns, identify anomalies, and make precise forecasts, you and your company can sustain growth, improve efficiency, and reduce overtime, delays, and associated costs.

This popular Anderson training course will equip you with essential knowledge of Big Data and Data Science principles, effective strategies for leveraging these tools, and insights into both their benefits and potential pitfalls. Harness the power of Big Data to drive your success.

By attending this Anderson training course, delegates will be able to:

• Identify the Big Data sources and ways to gather and use the data
• Effectively utilize the Data Science and Analytics
• Use the models of clustering, forecasting and unstructured data analysis
• Present the benefits of Big Data Analytics to stakeholders
• Use the Big Data to optimize the performance of your team and organization

This Anderson training course is suitable to a wide range of professionals but will greatly benefit:

• Professionals involved in Data Science and Data Analytics
• Statistical and Research Analysts
• Key Application Development and data Research Personnel
• Technology Engineers, CTO and CIO
• Strategic Development Directors
• Team leaders, supervisors, section heads and managers
• Professionals who have an interest in a management position
• Technical professionals including those in Maintenance, Engineering & Production
• IT specialists

• 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 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

• 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 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

• 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

Anderson Certificate of Completion will be provided to delegates who attend and complete the course