Python for Data Science

Python has become the go-to programming language for data science. On our two day course you will learn how to use it for next level data analysis that will give you a competitive edge.
product
2 day course
Supporting material
Virtual, Private
Virtual Classroom
A convenient and interactive learning experience, that enables you to attend on of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Python is the most searched topic on Stack Overflow. Due to its flexibility and the range of applications that Python can be used for, it's fast becoming the most sought after language in any developer's portfolio.

This two day course will start from the very beginning of installing Python 3, setting up your development environment and writing your first lines of code. However, by the end you will have a great understanding of Python and experience in working with data.

Through project based learning you will gain practical experience in working with all the general concepts of the python language, as well as retrieving, processing and visualising data.

Our Python for Data Science course is offered as a Virtual Classroom course, which will be hosted from the UK on British Summer Time (BST). It is also available as a private training session and can be delivered at our own training venue in the World Trade Center, Barcelona, any location of your choice or via Virtual Classroom.

Course overview
Who should attend:
If you want to take your first steps in becoming a Python developer or want to get into the growing industry of Data Science. This course is run over two consecutive days.
Walk away with the ability to:
  • Describe why we use programming in Python Syntax
  • Enable Python libraries
  • Collect data from various sources
  • Clean and prepare data
  • Visualise data
Course agenda
On day one we'll cover:
Introduction
  • Python History
  • Users of Python
  • Installing Python
  • Installing IDE
Data Types
  • Numbers
  • Sequences
  • File
  • Tuples
  • Dictionaries
Logic
  • If Statement
  • If Else Statement
  • Switch Statement
Loops
  • While Loop
  • Do... While Loop
  • For Loop
  • Foreach Loop
Functions
  • Declarations
  • Variable Scope
  • Passing Values
Objects
  • OO Programming
  • Class declaration
  • Methods & Properties
On two one we'll cover:
Data Science Intro
  • Why Python for Data Science
  • Popular packages
  • Use cases
  • Popular Libraries
  • Panda
  • Numpy
  • SeaBorn
  • Stats
  • Matplotlib
  • Scikit-learn
Working with data
  • Reading & Writing to different data sources
  • Cleaning data
  • Visualisation
  • Data Transformation
  • Automation
APIs
  • Connecting to an API
  • Public BigQuery APIs
  • Google Analytics API
Book this course
699 ex IVA
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