Practical Big Data Analysis

Time: 10:30 - 17:30
The chosen training includes following dates:
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Spoken language: English

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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.


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


  • 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


  • 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


  • 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


  • 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


Places left:
No participant limit
4170,00  + VAT