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Python for data analysis

Course summary

In this course, we cover Python packages that are commonly used for data analysis. These packages include handling CSV files, Numpy (‘Numerical Python'), SciPy (used for scientific and technical computing ) and Pandas (data analysis library) . You would learn to code and execute simple data analysis programs in Python. Learn to use powerful extensions available in Python. You would learn to manipulate large and varied datasets by getting hands-on, practical experience working on real-life data problems on anonymized data sets.. You would gain working knowledge of a few of the most commonly used Python modules, used by data scientists.

The course is useful for professionals who anyone who use data as part of their work and who need to draw analysis from the data. It is best to already have an understanding of programming.

Session 1

What are 'modules' and how can they be useful for data analysis tasks

Reading and writing CSV files in to a Python program: The CSV module

Identifying and fixing errors in datasets.

Session 2

Pandas: Indexing, Iteration, Functions, aggregation, merge/join. Comparison with SQL.

Session 3

The Python NumPy Module: Working with arrays, array manipulation, string, math, arithmetic and statistical functions.

Session 4

Introduction and over view of SciPy.

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Choose from the start dates and other options below. Click on each row to get more information. When you have found your ideal combination click "Book now" to proceed.

Starting How long Where Price

Thu 05th Jul
11:00am - 6:00pm

2 days
Part time day
London,
WC2N 4HS
Map

£500
per course

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Thu 26th Jul
11:00am - 6:00pm

2 days
Part time day
London,
WC2N 4HS
Map

£500
per course

> Book now

Online course
You study at your own pace

Variable - to suit the learner
Online
This is an online course
Map

£300
per course

> Book now