Introduction to Python for Data Analysis

Learn how to code in Python over 10 evening classes

Start Date: 22nd September 2020
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Tuesdays, 7pm-8.30 pm
10-weeks

London AI Campus
Kings Cross

Get up to Speed

Python: The World’s Favourite Language

Python is:

  • an easy to learn, powerful and general-purpose programming language that’s powering the world’s leading companies.
  • One of the “most-searched-for languages”
  • In the top three programming languages used in the world, with nearly 40% of developers working with Python, and a further 25% wishing to do so.
  • Widely adopted in industry and currently used by Pixar for producing films, Netflix for recommending content and Google for crawling the web, amongst many other innovative giants.

Evening Classes for a Busy Schedule

  • This is a Bootcamp for computer-literate people with no programming background who wish to learn introductory Python programming.
  • It’s designed for busy professionals with full-time work commitments. 
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Upskill and Future Proof your Skillset

With 90% of the world’s data being created in the last two years, and this data predicted to grow 40% year-on-year, businesses around the world are rallying to build internal analytics expertise to exploit all of the data they’re sitting on to its full potential. This would enable them to predict trends, optimise performance, improve decision making, and increase business competitiveness.

Learning Python will allow you to plug that demand gap and instantly make yourself more employable.

Learn with K.A.T.E. ®

You will use our proprietary AI-powered learning and assessment platform, K.A.T.E.®, to practice the skills you’ve learnt throughout the Bootcamp. K.A.T.E.® gives you instant, personalised quality and styling feedback on your code. You’ll use the platform to submit projects and receive instant, personalised feedback based on the quality of your code.

The Economist (1)

The language’s two main advantages are its simplicity and flexibility. Its straightforward syntax and use of indented spaces make it easy to learn, read and share.”

– The Economist

About the Bootcamp

The Bootcamp is for anyone looking to:

  • Learn introductory Python programming
  • Perform data analysis with Python in their current roles
  • Transition to a career as a Data Analyst

By the end of this bootcamp, you will :

  • Build up your confidence writing and running Python scripts

  • Gain experience using Python for Data Analysis, processing files and task automation

  • Learn the fundamental Python constructs for both Data Science and Software Development

Bootcamp prerequisites

  • Be competent using a computer and unafraid of the operating system interface
Introduction to Python for Data Analysis | London

The Introduction to Python for Data Analysis Bootcamp is a 10-week intensive training programme for professionals who want to learn programming in Python.

Classes will take place weekly in the evening. You will be expected to spend time working on projects outside of class hours each week, but the workload is designed to be manageable with a full-time job.

Top Employers who use Python

  • Introduction to Python for Data Analysis | London
  • facebook
  • instagram
  • spotify
  • google
  • dropbox
  • pwc

Uses of Python

Automation

Analysts typically have to sift through multiple csv files, merge them and email summary reports automatically. 

Data Analysis

Visualising information, extracting data from word documents, text files and spreadsheets.

Web App

Creating web application for people to use (e.g. Youtube was initially written in Python).

Digital Learning & K.A.T.E.®

Introduction to Python for Data Analysis | London

You will use our proprietary AI-powered learning and assessment platform, K.A.T.E.®, to practice the skills you’ve learnt throughout the Bootcamp. K.A.T.E.® gives you instant, personalised quality and styling feedback on your code. You’ll use the platform to submit projects and receive instant, personalised feedback based on the quality of your code.

After the bootcamp, you can continue to use K.A.T.E.® to practice your Python and start to build a portfolio of projects.

 

Introduction to Python for Data Analysis | London

What you’ll learn

    1. Jupyter Ecosystem, Values, Variables, String formatting
    2. Data Structures: List and Sets
    3. Data Structures: Tuples and Dictionaries
    4. Control Flow: Boolean Expressions and Conditions
    5. Control Flow: Loops
    6. Function Definitions
    7. List and Dict Comprehensions
    8. Pandas: DataFrame, Reading from CSV, Describing Data 
    9. Pandas: Accessing elements with loc, iloc, query
    10. Pandas: Filtering Data

Testimonials

  • “The K.A.T.E.® platform forms part of our learning solution for a Data Science upskilling program we run called Data Science Academy. To make these technology solutions most effective, the key consideration for us is the balance between learner experience and scale/automation which the K.A.T.E.® platform delivers on.”

    IMC (2)
    Derek Joyce
    Managing Director
    JPMorgan Chase UK
  • “K.A.T.E.® helped significantly to make our option pricing competition using Python a big success. We look forward to further engaging with Cambridge Spark on technical talent attraction and assessment utilising this platform.”

    IMC (1)
    Renier Eijkelestam
    Head Of Technology Europe
    IMC Trading
  • “Cambridge Spark equipped me with the foundations that I needed to perform advanced analytics. This ultimately led to a promotion into a role that I really enjoy.”

    Andonis Pavlidis headshot cambridge spark
    Andonis Pavlidis
    Senior Customer Analyst
    Farfetch

Request more information and download our prospectus

Pricing

Course

All prices are inclusive of V.A.T.

Full Upfront Payment
Ends 31st July
Early Bird Offer: £995
Full Price: £1,295

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Start your Application

Interested in learning more?

Fill out the form to the right and we’ll email you within the next two business days to arrange a quick call to help with any questions about the programme.

We look forward to speaking with you.

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