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.
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)
£1100 (ex VAT)
This includes free online 24/7 access to course notes.
Hard copy course notes are available on request from rsmshop@rsm.co.uk
at £50.00 plus carriage per set.
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