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
Private
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 one of the most searched topics on Stack Overflow. Due to its flexibility and the range of applications that Python can be used for, it's fast becoming the most sort after language in any developers 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 private training session and can be delivered at our own training facilities in San Francisco or Baltimore or any location of your choice.

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 progamming 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
Datatypes
  • 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 sourcesp
  • Cleaning data
  • Visualisation
  • Data Transformation
  • Automation
APIs
  • Connecting to an API
  • Public BigQuery APIs
  • Google Analytics API
Book this course
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