Economize 14%
Economize 14%
PCWorkshops

Python for Data Analysis

PCWorkshops
Em London (England), Berlin (Germany), Birmingham (England) e 3 sedes mais
  • PCWorkshops
Preço Emagister

R$3.755 R$3.218
*Preço aproximado
Valor original em GBP:
£700  £600
CURSO PREMIUM

Informação importante

Tipologia Short course
Nível Intermediate
Local Em 6edes
Duração 2
Início Datas a escolher
  • Short course
  • Intermediate
  • Em 6edes
  • Duração:
    2
  • Início:
    Datas a escolher
Descrição

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!

Informação importante
Quais são os objetivos da formação?

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

Esta formação é para mim?

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

Qual é o processo de inscrição?

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

Preço para usuários Emagister: Discount for emagister delegates

Requisitos: Bring your own device. Basic Python required.

Instalações (7)
Instalações e datas
Início Localização Horário
Datas a escolher
Berlin
Berlin, Germany
Ver mapa
Email us to arrange
Datas a escolher
Birmingham
One Victoria Square, B1 1BD, West Midlands, England
Ver mapa
Email us to arrange
Datas a escolher
Hannover
Niedersachsen, Germany
Ver mapa
Email us to arrange
Datas a escolher
Köln
Nordrhein - Westfalen, Germany
Ver mapa
Email us to arrange
Datas a escolher
London
8 Duncannon Street, WC2N 4JF, London, England
Ver mapa
Email us to arrange
Datas a escolher
London
8 Duncannon Street, WC2N 4JF, London, England
Ver mapa
-
Ver todas (7)
Início Datas a escolher
Localização
Berlin
Berlin, Germany
Ver mapa
Horário Email us to arrange
Início Datas a escolher
Localização
Birmingham
One Victoria Square, B1 1BD, West Midlands, England
Ver mapa
Horário Email us to arrange
Início Datas a escolher
Localização
Hannover
Niedersachsen, Germany
Ver mapa
Horário Email us to arrange
Início Datas a escolher
Localização
Köln
Nordrhein - Westfalen, Germany
Ver mapa
Horário Email us to arrange
Início Datas a escolher
Localização
London
8 Duncannon Street, WC2N 4JF, London, England
Ver mapa
Horário Email us to arrange
Início Datas a escolher
Localização
London
8 Duncannon Street, WC2N 4JF, London, England
Ver mapa
Horário -
Início Datas a escolher
Localização
Manchester
Pall Mall, 82 King Street, M2 4WQ, Greater Manchester, England
Ver mapa
Horário Email us to arrange

O que se aprende nesse curso?

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

Programa

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