Introduction to Python for Data Analytics

Level: Foundation
Rating: 4.4/5 4.36/5 Based on 42 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.

Key Features of this Python for Data Analytics Training:

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

You Will Learn How To:

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

Choose the Training Solution That Best Fits Your Individual Needs or Organisational Goals


On-Demand & Live Review Session

Unlimited annual access to:

  • 12 eBooks
  • 2 on-demand video courses
  • 1-day instructor-led training course
View Bundle Details & Schedule

Standard £1050/ Year




Team Training

  • Bring this or any training to your organisation
  • Full - scale program development
  • Delivered when, where, and how you want it
  • Blended learning models
  • Tailored content
  • Expert team coaching

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Our flexible, easy-to-redeem training vouchers are available to any employee within your organisation. For details, please call 0800 282 353 or chat live.

On-Demand & Live Review Session

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

  • 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
  • eBooks

    • Managing Data Science 
    • Hands-On Data Analysis with Pandas 
    • Hands-On Natural Language Processing with Python
    • Data Science Algorithms in a Week
    • Hands-On Machine Learning for Algorithmic Trading
    • HandsOn Neural Networks 
    • Machine Learning Algorithms 
    • Machine Learning with scikit-learn Quick Start Guide 
    • Hands-On Data Science for Marketing 
    • Feature Engineering Made Easy 
    • Artificial Intelligence By Example
    • 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

One Day Instructor-Led Review

You'll be able to register for a Training Review Session at any time after you've placed your order.

  • 23 Nov (1 Day)
    9:00 AM - 4:30 PM GMT
    Online (AnyWare) Online (AnyWare)
  • 3 Feb (1 Day)
    9:00 AM - 4:30 PM
    Online (AnyWare) Online (AnyWare)
  • 10 Mar (1 Day)
    9:00 AM - 4:30 PM GMT
    Online (AnyWare) Online (AnyWare)
  • 24 May (1 Day)
    9:00 AM - 4:30 PM BST
    Online (AnyWare) Online (AnyWare)
  • 16 Aug (1 Day)
    9:00 AM - 4:30 PM BST
    Online (AnyWare) Online (AnyWare)

Team Training

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.

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