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Data Analysis with Python

Total Duration: 12-Hour
Course level: Beginner
Delivery Method: Instructor-led Physical Classes or Virtual Classes
Data Analysis with Python training course
Regular Price: £420 (Approximately $559.88 USD)
Batch Price: From £360 (approx. $480 USD)  📅  View Dates & Prices
Group Booking Discount: From £240 per person(approx. $320 USD)  🧮 Calculate & Book
1-to-1 Training: £420(approx. $560 USD)  📋 Booking Request Form

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 01 Nov 2025 - 09 Nov 2025
2 Saturdays & 2 Sundays
11:00 AM - 02:00 PM ET 		£360 £420
(approx. $480 USD) 		Enrol Now
Online Training using Zoom 03 Nov 2025 - 14 Nov 2025
Mon, Wed & Fri (2 wks)
10:00 AM - 12:00 PM ET 		£360 £420
(approx. $480 USD) 		Enrol Now
Online Training using Zoom 10 Nov 2025 - 12 Nov 2025
Mon, Tue & Wed
05:00 AM - 09:00 AM ET 		£360 £420
(approx. $480 USD) 		Enrol Now
Online Training using Zoom 15 Nov 2025 - 16 Nov 2025
Saturday to Sunday
05:00 AM - 11:00 AM ET 		£360 £420
(approx. $480 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. $480 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. $480 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. $480 USD) 		Enrol Now
Online Training using Zoom 19 Jan 2026 - 30 Jan 2026
Mon, Wed & Fri (2 wks)
10:00 AM - 12:00 PM ET 		£420
(approx. $560 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

Certification

Certificate of Completion will be provided after completing the course
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Participant Reviews

“Well taught, with good materials.”

Philip, 17 April 2025

“The trainer was friendly, helpful and knowledgeable. Would recommend this course.”

Louis, 16 August 2024

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