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Introduction to Python for Data Analytics

COURSE TYPE

Foundation

Course Number

4509

Duration

1 Day

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Gain the skills you need to analyse and visualise data with Python. In this Python training course, 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.

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

Hands-On Experience:

  • 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, and more ...

Convenient Ways to Attend This Instructor-Led Course

Hassle-Free Enrolment: No advance payment required to reserve your seat.
Tuition Fee due 30 days after you attend your course.

In the Classroom

Live, Online

Private Team Training

In the Classroom — OR — Live, Online

Tuition Fee — Standard: £495  

10 Dec (1 Day)
9:00 AM - 4:30 PM GMT
London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

25 Feb (1 Day)
9:00 AM - 4:30 PM GMT
London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

13 May (1 Day)
9:00 AM - 4:30 PM BST
London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

5 Aug (1 Day)
9:00 AM - 4:30 PM BST
London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

AFTERNOON START: Attend these live courses online via Anyware

6 Sep (1 Day)
2:00 PM - 9:30 PM BST
Online (AnyWare) Online (AnyWare) Reserve Your Seat

9 Oct (1 Day)
2:00 PM - 9:30 PM BST
Online (AnyWare) Online (AnyWare) Reserve Your Seat

5 Nov (1 Day)
2:00 PM - 9:30 PM GMT
Online (AnyWare) Online (AnyWare) Reserve Your Seat

6 Dec (1 Day)
2:00 PM - 9:30 PM GMT
Online (AnyWare) Online (AnyWare) Reserve Your Seat

7 Jan (1 Day)
2:00 PM - 9:30 PM GMT
Online (AnyWare) Online (AnyWare) Reserve Your Seat

11 Feb (1 Day)
2:00 PM - 9:30 PM GMT
Online (AnyWare) Online (AnyWare) Reserve Your Seat

5 Mar (1 Day)
2:00 PM - 9:30 PM GMT
Online (AnyWare) Online (AnyWare) Reserve Your Seat

8 Apr (1 Day)
2:00 PM - 9:30 PM BST
Online (AnyWare) Online (AnyWare) Reserve Your Seat

1 May (1 Day)
2:00 PM - 9:30 PM BST
Online (AnyWare) Online (AnyWare) Reserve Your Seat

3 Jun (1 Day)
2:00 PM - 9:30 PM BST
Online (AnyWare) Online (AnyWare) Reserve Your Seat

12 Jul (1 Day)
2:00 PM - 9:30 PM BST
Online (AnyWare) Online (AnyWare) Reserve Your Seat

12 Aug (1 Day)
2:00 PM - 9:30 PM BST
Online (AnyWare) Online (AnyWare) Reserve Your Seat

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Guaranteed to Run

When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.

Private Team Training

Enroling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training.

For details, call 0800 282 353 or Click here »

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Tuition Fee

Standard

In Classroom or
Online

Standard

£495

Private Team Training

Contact Us »

Course Tuition Fee Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.

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Training Hours

Standard class hours:
9:00 a.m. - 4:30 p.m.

Last day class hours:
9:00 a.m. - 3:30 p.m.

Free Course Exam – Last Day:
3:30 p.m. - 4:30 p.m.

Each class day:
Informal discussion with instructor about your projects or areas of special interest:
4:30 p.m. - 5:30 p.m.

AFTERNOON START class hours:
2:00 p.m. - 9:30 p.m.


Last day class hours:
2:00 p.m. - 8:30 p.m.


Free Course Exam – Last Day:
8:30 p.m. - 9:30 p.m.


Each class day:
Informal discussion with instructor about your projects or areas of special interest
9:30 p.m. - 10:30 p.m.

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