Python for Data Analytics


The fields of data analytics and data science are now of great importance throughout the world. At the same time,there has been a spectacular growth in the popularity of Python in this field: it is on its way to become the leading language in scientific and business data analysis. Python's general strengths as a multi-purpose programming language, combined with a number of specialised libraries, make it a very valuable tool for exploring, analysing, and visualising all sorts of data.

This course teaches how to analyse data using Python. It also examines the possibilities of Python in the field of data analysis and visualisation, including popular libraries such as NumPy, Pandas and Matplotlib.

This course is also available for exclusive one-company presentations live over the Internet, via the Virtual Classroom Environment service.

Virtual Classroom Environment dates - click to book!

8 February 2021 22 March 2021

What is a 'Virtual Classroom Environment'?

 

What do I need?

  • webcam
  • headphones with microphone
  • sufficient bandwidth, at least 1.5 Mb/s in each direction.

What you will learn

On successful completion of this course you will be able to:

  • carry out data analysis using Python.

Who Should Attend

The course is suitable for whoever wants to start practising data analysis: developers, data scientists, data architects, marketeers, and anyone who needs to manipulate, visualize, or summarize their corporate data.

Prerequisites

Basic Python knowledge is a prerequisite for this training, as well as an understanding of the principles of statistical aalysis.

Duration

2 days

Fee (per attendee)

£1000 (ex VAT)

Course Code

PDA

Contents

Reading and Writing Data

Text files, CSV; Databases; Microsoft Excel; XML, HTML, JSON.

Data Wrangling and Exploratory Analysis

Concatenating, merging and joining data; Transforming data; Pivoting Handling missing data.

Data Aggregation and Grouping

Regular Expressions

Visualisation

NumPy

Pandas

Matplotlib

Jupyter Notebooks

Other Useful Packages


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