Practical Big Data Analysis

Difficulty
Rating
5days
Duration
4030,00 
+ VAT
Time: 11:30 - 18:30
Location:
Contact sales to ask for Sovelto Access price: +358 20 7776 670 or myyntipalvelu@sovelto.fi
Register before
Spoken language: English

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Or contact sales: +358 20 7776 670 or myyntipalvelu@sovelto.fi

Overview

Overview
Introduction to Python, Data Science and Big Data. Deep introduction to major Big Data technology for practitioners working with them.

Target Audience
Practitioners of data analysis and fledging data scientists who wish to leverage Big Data technologies such as NoSQL databases, Hadoop and Spark.

Objectives

At the end of the course you will be able to:

Know

  • Fundamentals of Data Science
  • Fundamentals of Machine Learning
  • Fundamentals of Python programming
  • Python's data and numerical packages
  • How to visualise data using Python
  • Different data models
  • What is a NoSQL database, how is it different from a (traditional) Relational Database
  • What is Hadoop
  • What is Spark

Do:

  • Write Python programs to manipulate data
  • Use Python to visualise data
  • Querying graph databases Neo4j
  • Querying column store database Cassandra
  • Querying document based database MongoDB
  • Using Hadoop and Spark
  • Using Python Machine Learning libraries to perform predictive analysis

Outline

  • Introduction to Data Science
  • Machine Learning: Method
  • Introduction to Python
  • Python Data
  • Data Science and Numerical Python
  • Python Plotting
  • 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
  • Python Machine Learning

Prerequisites

  • Basic knowledge of data base architecture and SQL
  • Basic knowledge in programming: variables, flow and scope and functions
  • Prior experience of working with data
  • Experience with Python or other scripting languages such as Perl will be an advantage

 

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4030,00  + VAT