Python for data analysis - introduction to PANDAS (English course)
- Niveau
- Tijdsduur
- Locatie
- Op locatie
- Startdatum en plaats
Startdata en plaatsen
placeNieuwegein 7 jun. 2021 tot 8 jun. 2021Toon rooster event 7 juni 2021, 08:45-16:00, Nieuwegein, Day 1 event 8 juni 2021, 08:45-16:00, Nieuwegein, Day 2 |
Beschrijving
Lesmethode :
Klassikaal
Algemeen :
For data analysis in Python PANDAS is the package of choice.
In the realm of data analysis the language R, developed by statisticians, is a long-time contender. R still is really popular, but has serious competition from Python.
One of the neatest notions that R came up with is the DataFrame, which is a representation of a database table or spreadsheet including schema information. Before DataFrames existed, data sets mostly had to be disassembled and stored in separate arrays. The idea is simple: just store the data set together with its schema.
Python lacked this DataFrame functionality until the PANDAS package was created. PANDAS heavily influenced by …
Veelgestelde vragen
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
Lesmethode :
Klassikaal
Algemeen :
For data analysis in Python PANDAS is the package of choice.
In the realm of data analysis the language R, developed by
statisticians, is a long-time contender. R still is really popular,
but has serious competition from Python.
One of the neatest notions that R came up with is the DataFrame,
which is a representation of a database table or spreadsheet
including schema information. Before DataFrames existed, data sets
mostly had to be disassembled and stored in separate arrays. The
idea is simple: just store the data set together with its
schema.
Python lacked this DataFrame functionality until the PANDAS package
was created. PANDAS heavily influenced by the base R data frame,
was developed and released by Wes McKinney around 2010. It has
extremely powerful methods to input/output and manipulate
data.
Doel :
Getting started with Data Analysis.
Voorkennis :
Basic Python knowledge
En de volgende cursussen:
- De programmeertaal Python - voor ervaren programmeurs
Onderwerpen :
- Pandas background
- Series objects
- DataFrame objects
- Reading / writing DataFrames
- Getting information about a DataFrame
- Indexing / Slicing
- Applying Functions to Cells, Columns and Rows
- Time-related data
Blijf op de hoogte van nieuwe ervaringen
Deel je ervaring
Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.