Introduction to Python for Data Analytics

Nivå: Foundation
Snittbetyg: 4,3/5 4,27/5 Based on 44 Reviews

Gain the skills you need to analyse and visualise data with Python. In this Python training, you learn the fundamentals of Python programming with a focus on data analytics, and work with popular statistical computing libraries — like numPy, Pandas, sciPy, and Scikit-learn — that allow you to begin analysing data to answer key business questions.

Nyckelfunktioner:

  • Attend online or bring this course to your facility
  • After-course instructor coaching

Du kommer lära dig att:

  • Use Python for statistical data analysis
  • Generate summary statistics with pandas
  • Clean, transform, and reshape data
  • Glean insights from the data through visualisation

Välj den utbildningsform som passar dig bäst

LIVE, LÄRARLEDD

Klassrum och självstudier

  • 1-day instructor-led training course
  • One-on-one after-course instructor coaching
  • Tuition fee can be paid later by invoice -OR- at the time of checkout by credit card

FÖRETAGSINTERN UTBILDNING

Teamträning

  • Använd denna eller någon annan utbildning i ditt företag
  • Fullskalig programutveckling
  • Levereras när, var och hur du vill
  • Blandade utbildningsmodeller
  • Skräddarsytt innehåll
  • Coaching av ett expertteam

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Kontakta oss

Utveckla dig och ditt team med anpassade eller öppna kurser alternativt e-learning

Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .

Klassrum och självstudier

Note: This course runs for 1 dag *

*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.

  • 6 jul 9:00 - 4:30 BST London / Online (AnyWare) London / Online (AnyWare) Boka Din Kursplats

  • 21 sep 9:00 - 4:30 BST London / Online (AnyWare) London / Online (AnyWare) Boka Din Kursplats

  • 23 nov 9:00 - 4:30 GMT London / Online (AnyWare) London / Online (AnyWare) Boka Din Kursplats

  • 10 mar 9:00 - 4:30 GMT London / Online (AnyWare) London / Online (AnyWare) Boka Din Kursplats

  • 24 maj 9:00 - 4:30 BST London / Online (AnyWare) London / Online (AnyWare) Boka Din Kursplats

  • 1 jun 9:00 - 4:30 EDT Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 12 aug 9:00 - 4:30 EDT Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 18 nov 9:00 - 4:30 EST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 3 feb 9:00 - 4:30 EST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 11 maj 9:00 - 4:30 EDT Online (AnyWare) Online (AnyWare) Boka Din Kursplats

Kurs med startgaranti

När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.

Partial Day Event

Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.

Python for Data Analytics Course Information

  • Prerequisites

    No formal prerequisites are required to attend this course.

Python for Data Analytics Course Outline

  • Course Topics

    • Working with data stored in pandas data frame objects
    • Generating summary statistics with pandas
    • Statistical modelling using NumPy and SciPy
    • Plotting and visualising data using MatPlotLib

Teamträning

Important Python for Data Analytics FAQs

  • What background do I need?

    Just an interest in gaining foundational knowledge of data science. This data scientist training course is designed for technical and non-technical beginners.

  • Can I learn Python for Data Analytics online?

    Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want. This course is available live online and as Private Team Training.

Har du frågor om vilken utbildning som är rätt för dig?

call 08-506 668 00




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