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Python for Data Analysis

Short course

In Jersey Guernsey (UK Offshore Dependencies)

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£ 600 VAT exempt

Learn to code and execute simple data analysis programs in Python!

  • Type

    Short course

  • Level

    Intermediate

  • Location

    Jersey guernsey (UK Offshore Dependencies)

  • Duration

    2 Days

Excellent for data analysts and Python coders

Immerse yourself in the Python world with this Python for Data Analysis, offered by PCWorkshops, that Emagister has added to its educational catalogue.

In this course, Python packages that are commonly used for data analysis are covered. 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.

Throughout five different sessions you’ll learn a variety of subjects, including basic terminology as modules, how to use it for data analysis, writing CSV files, what is Panda, and much more. Everything will get more sense once you start getting in touch with the data analysis world.

So, if you want more information about this programme contact PCWorkshops through Emagister without hesitation. You won’t regret it!

Facilities

Location

Start date

Jersey Guernsey (Channel Islands)
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Start date

Different dates availableEnrolment now closed

About this course

Learn to transform, slice, analyze large data sets using Python data function libraries.

Python and data users, analysts, scientist, business analysts.

Bring your own device. Basic Python required.

PCWorkshops Certificate.

Experienced tutors, small groups, practical, real life examples, accessible central London location.

You could simply book online or contact us to discuss dates and make off-line bookings.

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Reviews

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 7 years

Subjects

  • Computing
  • Data Mining
  • Database
  • Data analysis
  • Data Collection
  • Programming
  • Python
  • Data Analytics
  • NumPy
  • Data trends
  • SciPy
  • Datasets
  • Indexing
  • Iteration
  • Functions
  • Coding

Teachers and trainers (2)

Mary  Smith

Mary Smith

Tutor

How Mary Smith teaches: I am consultative, flexible and understanding. I appreciate the trust given to me. What Mary Smith teaches: Databases, MS SQL Server, Oracle 11g, MySQL, Access Database, Excel, MS Power BI, Tableau, SSRS, MS SQL Server Report Builder. Java Coding Basics.

Sarah Barnard

Sarah Barnard

Coder, Instructor

Java Coding, Beginner - Advanced, JDBA, Hibernate, Spring. OO Programming. Android Studio. Excel VBA. Cobol. Databases, MS SQL Server, Oracle 11g, MySQL, Access Database, Excel, MS Power BI, Tableau, SSRS, MS SQL Server Report Builder.

Course programme

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) .

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. Json Files, Dtabase.

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.

Session 5
The Matplotlib Lbrary

Python for Data Analysis

£ 600 VAT exempt