Introduction to Python for Data Analytics

Nivå: Foundation
Snittbetyg: 4,5/5 4,52/5 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.


  • 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



  • 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

Anpassa kurs och innehåll efter teamets behov

Kontakta oss


On Demand & Live Granskningssession

Unlimited annual access to:

  • 12 eBooks
  • 2 on-demand video courses
  • 1-day instructor-led training course

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 .


On Demand & Live Granskningssession

Python for Data Analytics Training Information

  • Data Science Blended Training Description

    The eBooks and on-demand courses provided with this offering are a great way to explore your interest in the topics covered in the instructor-led course. At any time during your annual access to this offering, you may attend one of our 1-day review sessions, Course 4509: Introduction to Python for Data Analytics.

Course Outline & On-Demand Training Content

  • eBooks

    • Managing Data Science
    • Hands-On Data Analysis with Pandas
    • Hands-On Python Natural Language Processing
    • Data Science Algorithms in a Week - Second Edition
    • Machine Learning for Algorithmic Trading - Second Edition
    • Hands-On Neural Networks
    • Mastering Machine Learning Algorithms - Second Edition
    • Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
    • Hands-On Data Science for Marketing
    • Python Feature Engineering Cookbook
    • Artificial Intelligence By Example - Second Edition
    • Hands-On Machine Learning on Google Cloud Platform
  • On-Demand Videos

    • Exploratory Data Analysis with Pandas and Python 3.x
    • Advanced Data Structures and Algorithms in Python

Instructor-Led Training

You'll be able to register for an Instructor-Led Training Session at any time after you've placed your order.

  • 16 aug (1 dag)
    9:00 - 4:30 BST
    Online (AnyWare) Online (AnyWare)
  • 22 nov (1 dag)
    9:00 - 4:30 GMT
    Online (AnyWare) Online (AnyWare)
  • 28 feb (1 dag)
    9:00 - 4:30 GMT
    Online (AnyWare) Online (AnyWare)
  • 30 maj (1 dag)
    9:00 - 4:30 BST
    Online (AnyWare) Online (AnyWare)

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.

  • What on-demand content will I receive?

    An outline of the content you will receive can be seen above. 
  • How will I access my course materials if I choose this method?

    Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started.
  • How can I sign up for a review session?

    Once you are enrolled in the program, specific details and dates will be sent to you.

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

call 08-506 668 00

Why do we require your location?

It allows us to direct your request to the appropriate Customer Care team.

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Why do we require your location?

It allows us to direct your request to the appropriate Customer Care team.

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