Data Science & Big Data Analytics Training Workshop

INTRODUCTION

In the modern business world, information exists in myriad forms and sources, presenting both opportunities and challenges for organizations. The ability to effectively extract, model, and analyze this information can provide significant commercial advantages. Big Data Analytics empowers organizations to identify trends, optimize operational procedures, and enhance revenue and client experiences. This comprehensive training course offers a practitioner-focused approach to identifying the requirements for the application of data science. Participants will learn how to adopt these practices, explore available technologies, select appropriate analytical models, and make sense of Big Data to derive actionable insights. The course is designed to equip professionals with the skills needed to leverage data science for strategic decision-making and operational efficiency.

Course Objectives

By the end of the course, participants should be able to:

• Understand the role of Big Data within their organization
• Determine the appropriate times to apply Data Analytics and the best methods to approach it
• Select suitable models and technologies for Big Data applications
• Learn from real-world case studies and use case scenarios
• Apply best practices in Data Analytics to achieve tangible results

Duration

5 Days

Who Should Attend

This course is designed for senior executives, technical engineers, and professionals involved in technology, research, and statistical analysis of corporate data. It is particularly beneficial for:

• Statistical and Research Analysts
• Key Application Development and Data Research Personnel
• Technology Engineers, CTOs, and CIOs
• Strategic Development Directors

Course Content

Day One: Big Data Analytics

• Current Practices and Trends in Big Data Analytics
• Business Intelligence vs. Data Science
• Analytical Architecture for Big Data
• Roles for Big Data within Technology and Commercial Enterprises
• 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
• Integrating Data Analytics
• Current Best Practice Management and Approach for Project Delivery
• Data Visualization Overview
• Summary and Case Study

General Notes

• This course is delivered by seasoned trainers with extensive professional experience in their respective fields.
• Training includes a mix of practical activities, theoretical knowledge, group work, and case studies.
• Participants receive comprehensive training manuals and additional reference materials.
• A certificate is awarded upon successful course completion.
• Custom-tailored courses to meet specific organizational needs are available. Contact us at training@skillsforafrica.org for more information.
• The training will be conducted at the Skills for Africa Training Institute in Nairobi, Kenya.
• The training fee covers tuition, materials, lunch, and the training venue. Accommodation and airport transfer can be arranged upon request.
• Payment should be made to our bank account before the training starts, and proof of payment sent to: training@skillsforafrica.org