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Using Data Science Tools in Python®
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Summary

Price
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Study method
Distance + live classes
Duration
3 days · Full-time
Qualification
No formal qualification

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Overview

This practical course introduces you to the core tools and techniques used in data science with Python, enabling you to analyse, interpret, and visualise data effectively. You’ll explore widely used libraries such as NumPy, pandas, and matplotlib, and learn how to apply them to real datasets. The course focuses on building a strong foundation in data manipulation, statistical thinking, and data visualisation, helping you turn raw data into meaningful insights. By the end, you’ll have hands-on experience using Python to support data-driven decision-making across a range of real-world scenarios.

Description

This course provides a structured, hands-on introduction to using Python as a data science tool. You’ll begin with an overview of data science workflows and how Python fits into the analytics process, before moving into core programming concepts used for data handling.

You’ll learn how to work with data structures and perform numerical operations using NumPy, then move on to pandas for loading, cleaning, transforming, and analysing datasets. The course also covers exploratory data analysis techniques to help you uncover patterns, trends, and relationships in data.

In addition, you’ll explore data visualisation using matplotlib, allowing you to present insights clearly through charts and graphs. Practical exercises and real-world datasets are used throughout to reinforce your understanding and help you build confidence in applying these tools effectively.

Who is this course for?

This course is ideal for:

  • Aspiring data analysts or data scientists looking to build foundational Python skills.
  • Python programmers who want to transition into data analysis and analytics.
  • Business professionals who want to make data-driven decisions using practical tools.
  • Students and graduates preparing for roles involving data handling and interpretation.

No prior data science experience is required, though basic Python knowledge will be beneficial.

Requirements

To get the most out of this course, you should:

  • Have basic knowledge of Python programming (variables, loops, functions).
  • Be comfortable using a computer and running code in a development environment.
  • Have access to a laptop with Python installed (or be prepared to set it up).

No prior experience with data science libraries is required, all tools are introduced step by step.

Career path

Completing this course can support progression into roles such as Data Analyst, Junior Data Scientist, Business Analyst, or Python Developer with a focus on data-driven applications and analytics.

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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