Fundamentals of Big Data
Book Now - 3 Delivery Methods Available:Classroom Virtual Classroom Private Group - Virtual Self-Paced Online
An introduction to Data Science and the mathematical models underpinning Big Data Technologies, including a deep introduction to working with a range of big data tools.
This 3-day course is designed for people evaluating what NoSQL technologies and solutions they should start using in their organisation. It is the first step in a professional Data Science journey.
On this course you're going to learn about different ways of modelling data. You are going to learn the difference between SQL and NoSQL solutions. You're going to understand the most common NoSQL solutions, including Hadoop, and how you can develop, code and programme using them.
At the end of this course attendees will know:
- The Fundamentals of Data Science
- The different data models
- What is a NoSQL database
- The different types of NoSQL databases
- What is Hadoop
- What is Spark
At the end of this course attendees will be able to:
- Speak the language of Data Scientist
- Use Python's native data bases
- Query NoSQL databases using Python APIs
- Perform big data analysis using Hadoop and Spark
For existing python developers and data analysts looking to up-skill into big data.
We work with the following best of breed training partners using our bulk buying power to bring you a wider range of dates, locations and prices.
Course Topics (9 topics)
- Introduction to Data Science
- Mathematics: Data Models
- Python DBs
- Big Data with Neo4j
- Big Data with Hadoop
- Big Data with Cassandra
- Big Data with Spark
- Big Data with Mongo
- Data Science and Communication
- Prior experience with Python is required
- Experience working with data
Please select from the dates below to make an enquiry or booking.
Different pricing structures are available including special offers. These include early bird, late availability, multi-place, corporate volume and self-funding rates. Please arrange a discussion with a training advisor to discover your most cost effective option.