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Data Analysis with Python

Batch Price From £300 (approx. $409 USD) View Dates & Prices
Custom Price From £240 (approx. $327 USD) Price Calculator & Booking Short course on Data Analysis with Python
Total Duration: 12-Hour
Course level: Beginner
Delivery Method: Instructor-led Physical Classes or Virtual Classes
Certification: Certificate of Completion will be provided after completing the course

Course Overview

Python is a multi-paradigm programming language which has become the language of choice for data analysis, data visualisation and machine learning. This Data Analysis with Python course provides a concrete first step in learning data analysis.

In this course, you will be working with Jupyter notebook and setting up a database. After covering the Jupyter, you will learn Python’s NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and functions. Later you will explore Python’s pandas extension for data mining, managing your datasets by sorting and ranking them. Last but not least you’ll learn data visualisation with matplotlib.

Requirements

This course is suitable for those who already have basic knowledge of Python programming.

We highly recommend you complete the following course(s) before attending the Data Analysis with Python course:

Course Dates, Prices & Enrolment

All Training Physical Classes Virtual Classes
Time Zone:
Training MethodDates and TimesPrice 
Online Training using Zoom 14 Jul 2025 - 17 Jul 2025
Mon, Tue, Wed & Thu
09:00 AM - 12:00 PM ET 		£300 £420
(approx. $409 USD) 		Enrol Now
Classroom Training 19 Jul 2025 - 20 Jul 2025
Saturday to Sunday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 21 Jul 2025 - 01 Aug 2025
Mon, Wed & Fri (2 wks)
01:00 PM - 03:00 PM ET 		£300 £420
(approx. $409 USD) 		Enrol Now
Online Training using Zoom 26 Jul 2025 - 27 Jul 2025
Saturday to Sunday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Classroom Training 28 Jul 2025 - 30 Jul 2025
Mon, Tue & Wed
05:00 AM - 09:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 28 Jul 2025 - 30 Jul 2025
Mon, Tue & Wed
05:00 AM - 09:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 23 Aug 2025 - 24 Aug 2025
Saturday to Sunday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Classroom Training 23 Aug 2025 - 24 Aug 2025
Saturday to Sunday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 26 Aug 2025 - 11 Sep 2025
3 Tuesdays & 3 Thursdays
01:00 PM - 03:00 PM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 01 Sep 2025 - 03 Sep 2025
Mon, Tue & Wed
05:00 AM - 09:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Classroom Training 01 Sep 2025 - 03 Sep 2025
Mon, Tue & Wed
05:00 AM - 09:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 04 Oct 2025 - 05 Oct 2025
Saturday to Sunday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Classroom Training 04 Oct 2025 - 05 Oct 2025
Saturday to Sunday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 06 Oct 2025 - 07 Oct 2025
Monday to Tuesday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Classroom Training 06 Oct 2025 - 07 Oct 2025
Monday to Tuesday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 07 Oct 2025 - 23 Oct 2025
3 Tuesdays & 3 Thursdays
01:00 PM - 03:00 PM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 01 Nov 2025 - 02 Nov 2025
Saturday to Sunday
06:00 AM - 12:00 PM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Classroom Training 01 Nov 2025 - 02 Nov 2025
Saturday to Sunday
06:00 AM - 12:00 PM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 01 Nov 2025 - 09 Nov 2025
2 Saturdays & 2 Sundays
11:00 AM - 02:00 PM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 10 Nov 2025 - 11 Nov 2025
Monday to Tuesday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Classroom Training 10 Nov 2025 - 11 Nov 2025
Monday to Tuesday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 18 Nov 2025 - 04 Dec 2025
3 Tuesdays & 3 Thursdays
01:00 PM - 03:00 PM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Classroom Training 29 Nov 2025 - 30 Nov 2025
Saturday to Sunday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 29 Nov 2025 - 30 Nov 2025
Saturday to Sunday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $490 USD) 		Enrol Now
Online Training using Zoom 06 Dec 2025 - 14 Dec 2025
2 Saturdays & 2 Sundays
10:00 AM - 01:00 PM ET 		£360 £420
(approx. $490 USD) 		Enrol Now

Related/Sample Videos

🎓 Master Data Analysis with Python Today!

Course Content

  1. Introduction to Data Analysis
    • What is data analysis
    • Why data analysis
    • Types of data analysis
    • Process flow of data analysis
  2. Introduction to NumPy
    • Pandas & NumPy Intro
    • Numpy Arrays & Array Properties
    • Array Creation
    • Random Number Generation
    • Indexing & Slicing Arrays
    • Array Operations
  3. Introduction to Pandas
    • Defining pandas library
    • Why do we need pandas library
    • Pandas data structure
    • Exploring the data of a DataFrame
    • Selecting data from DataFrame
    • Data cleaning in pandas DataFrame
    • Grouping and aggregation
    • Sorting and ranking
    • Adding row into DataFrame
    • Adding column into DataFrame
    • Dropping the row/column from DataFrame
    • Concatenating the dataframe
    • Merging/joining the dataframe
    • The merge() function
    • The join() function
    • Writing the DataFrame to external files.
  4. Data Visualisation with Matplotlib
    • What is data visualisation
    • What is Matplotlib
    • Getting started with Matplotlib
    • Line plot using Matplotlib
    • Customising the plot
    • Some basic types of plots in matplotlib
    • Export the plot into a file
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