Big Data Analytics, 29 Oct – 9 Nov 2018, Naivasha, Kenya
Title: Big Data Analytics (BDA)
Dates: 29th Oct – 9th Nov 2018
Duration: 10 Days (8.00am – 5.00pm)
Venue: Naivasha, Kenya
Tuition Fee: USD 1,800
OVERVIEW:
Big Data analytics allow organizations to make better business decisions by deriving value from vast amounts of untapped data. This course provides the knowledge and skills to build competitive strategies around data-driven insights. Further, you leverage an overall lifecycle approach using sophisticated data modeling within your Big Data analytics projects.
TARGET AUDIENCE:
This course is intended for technical and database professionals, managers, data analysts, data scientists, businesses analysts and database professionals. The course will be useful for those professional involved in forecasting and trends management.
PRE-REQUISITE:
Programming and a background in statistics is helpful, but not required.
LEARNING OUTCOMES
• Optimize business decisions and create competitive advantage with Big Data analytics
• Perform predictive analysis using the appropriate data mining approach
• Use Python to create code that reads data from sensors and stores it in a SQL database.
• Visualize, clean, manipulate and integrate data sets.
• Learn fundamental principles of Big Data platforms like Hadoop.
• Use storytelling to present insights gained from extracted data.
• Derive business benefit from unstructured data
• Apply the data analytics life cycle approach to Big Data
COURSE CONTENTS:
Big Data & Analytics
Chapter 0 Course Introduction
Chapter 1 Data and the Internet of Things
Chapter 2 Fundamentals of Data Analysis
Chapter 3 Data Analysis
Chapter 4 Advanced Data Analytics and Machine Learning
Chapter 5 Storytelling with Data
Chapter 6 Architecture for Big Data and Data Engineering
