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Data Analysis with Python

A Beginner level 12-hour course delivered via Instructor-led Physical Classes or Virtual Classes.

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Regular Price: £420
Batch Price: From £240   📅  View Dates & Prices
Group Booking Discount: From £240 per person  🧮 Calculate & Book
1-to-1 Training: £420  📋 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 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
  5. Working with Real-World Data (APIs & JSON)
    • Introduction to APIs
    • Understanding JSON Data
    • Making API Requests in Python
    • Working with API Data
    • Converting API Data to DataFrame
    • Data Analysis with API Data
    • Automating Data Collection
    • Business Applications

Course Dates, Prices & Enrolment

All Training Physical Classes Virtual Classes
Scroll right for more details
Delivery MethodDates & TimesHoursPriceEnrolment
Online Training using Zoom
17 Aug 2026 - 28 Aug 2026
Mon, Wed & Fri (2 wks)
03:00 PM - 05:00 PM BT
12-hour over 6-day
£360 £420
Enrol Now
Classroom Training
29 Aug 2026 - 05 Sep 2026
2 Saturdays
02:30 PM - 05:30 PM BT
12-hour over 2-day
£240 £420
Full
Online Training using Zoom
05 Sep 2026 - 19 Sep 2026
3 Saturdays
03:00 PM - 07:00 PM BT
12-hour over 3-day
£360 £420
Enrol Now
Online Training using Zoom
17 Sep 2026 - 18 Sep 2026
Thursday to Friday
10:00 AM - 04:00 PM BT
12-hour over 2-day
£420
Enrol Now
Classroom Training
17 Sep 2026 - 18 Sep 2026
Thursday to Friday
10:00 AM - 04:00 PM BT
12-hour over 2-day
£420
Enrol Now
Online Training using Zoom
26 Sep 2026 - 10 Oct 2026
3 Saturdays
10:00 AM - 02:00 PM BT
12-hour over 3-day
£360 £420
Enrol Now
Online Training using Zoom
05 Oct 2026 - 16 Oct 2026
Mon, Wed & Fri (2 wks)
03:00 PM - 05:00 PM BT
12-hour over 6-day
£360 £420
Enrol Now
Classroom Training
08 Oct 2026 - 09 Oct 2026
Thursday to Friday
10:00 AM - 04:00 PM BT
12-hour over 2-day
£420
Enrol Now
Online Training using Zoom
08 Oct 2026 - 09 Oct 2026
Thursday to Friday
10:00 AM - 04:00 PM BT
12-hour over 2-day
£360 £420
Enrol Now
Online Training using Zoom
05 Nov 2026 - 06 Nov 2026
Thursday to Friday
10:00 AM - 04:00 PM BT
12-hour over 2-day
£360 £420
Enrol Now
Classroom Training
05 Nov 2026 - 06 Nov 2026
Thursday to Friday
10:00 AM - 04:00 PM BT
12-hour over 2-day
£420
Enrol Now
Online Training using Zoom
29 Nov 2026 - 13 Dec 2026
3 Saturdays
10:00 AM - 02:00 PM BT
12-hour over 3-day
£360 £420
Enrol Now
Online Training using Zoom
02 Dec 2026 - 18 Dec 2026
Wed & Fri (3 wks)
10:00 AM - 12:00 PM BT
12-hour over 6-day
£420
Enrol Now
Online Training using Zoom
03 Dec 2026 - 04 Dec 2026
Thursday to Friday
10:00 AM - 04:00 PM BT
12-hour over 2-day
£360 £420
Enrol Now
Classroom Training
03 Dec 2026 - 04 Dec 2026
Thursday to Friday
10:00 AM - 04:00 PM BT
12-hour over 2-day
£420
Enrol Now

Price Calculator & Booking Request Form

Calculate prices for Corporate, 1-on-1 or group training and request a booking.

Do you have a special training requirement or unable to find any suitable training date? Please complete and submit the booking request form, if you want to:

  • book a course on different dates
  • book for a group of delegates
  • book corporate training
  • book a customised training
  • book a one-on-one training

The price person is less when you book a course for more people. You can find the price per person and the total cost by changing the values of the training hours and the number of people below:

Part of a Structured Career Pathway

This course is a critical milestone within our professional pipelines. Complete the complete track sequentially to achieve job-ready credentials.

AI Application Developer Path

Build practical AI application skills with Python, LLM APIs, prompt engineering, RAG, chatbots and AI automation. Explore courses and career roles.

Explore Full Pathway Track

AI Engineer & Developer Path

Follow a practical AI Engineer & Developer career path with instructor-led training in Python, Machine Learning, Deep Learning, Generative AI, LLMs, RAG, APIs and AI application development.

Explore Full Pathway Track

Data Analyst Career Path

Follow a practical Data Analyst career path with instructor-led training in Excel, SQL, Power BI, Python, Pandas and data visualisation skills.

Explore Full Pathway Track

Data Scientist Career Path

Follow a practical Data Scientist career path with live, instructor-led training in Python, advanced statistics, data analysis, machine learning algorithms, and deep learning models.

Explore Full Pathway Track

SQL Database Professional Path

Build a career as a SQL Database Professional with training in SQL, database design, Power BI, and Python data analysis. Learn how to manage, analyse, and report on business data.

Explore Full Pathway Track

Frequently Asked Questions

Basic knowledge of Python is recommended for this course. You should be familiar with fundamental concepts such as variables, data types, loops, and functions. If you are new to Python, we recommend completing a beginner-level Python course first.

Yes, this course is highly practical and includes hands-on exercises and real-world examples. You will work with datasets to apply your knowledge and build confidence in data analysis.

Yes, data analysis with Python is a highly in-demand skill used in roles such as Data Analyst, Data Scientist, and Business Analyst. It allows you to work with large datasets, automate analysis, and generate insights for decision-making.

This course provides essential data analysis skills using Python. To become a well-rounded data analyst, it is recommended to combine this with other skills such as SQL and Power BI for data querying and visualisation.

Yes, you will receive a certificate of completion after successfully finishing the course.

You will learn how to analyse data using Python, including working with libraries such as Pandas and NumPy. The course covers data cleaning, manipulation, analysis, and basic visualisation techniques to help you extract insights from real datasets.

You can use a range of tools to work with Python during this course. We typically recommend using Jupyter Notebook (via Anaconda) or Google Colab, as they are widely used for data analysis.

You can also use other development environments such as Visual Studio Code, PyCharm, or Spyder, as long as you have the required libraries installed, including Pandas, NumPy, and Matplotlib.

If you prefer not to install anything, you can use our browser-based platform, which includes all the required libraries: py.lait.co.

If needed, we will guide you through the setup process before the session.

After completing this course, you can pursue roles such as Data Analyst, Junior Data Analyst, Reporting Analyst, or Business Analyst. It also provides a strong foundation for advanced roles in data science.

The course is instructor-led and can be attended live online, in person at our London training centre, or delivered on-site at your organisation for corporate training.

After completing this course, you can progress to advanced data analytics topics, machine learning, or combine your skills with SQL and Power BI to build a complete data analytics skill set.

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What Our Participants Say

“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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At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for.

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