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Python Data Analysis with JupyterLab
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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

Python Data Analysis with JupyterLab is a practical, hands‑on course that teaches you how to explore and interpret data using Python’s core analytics tools in the industry‑standard interactive notebook environment. Throughout the training, you’ll learn how to work in JupyterLab, document your workflow clearly with Markdown and magic commands, perform numerical computing with NumPy, clean and transform structured datasets with pandas, and visualise insights with matplotlib. Using real examples and guided exercises, this course builds your confidence in using Python for effective data analysis and prepares you for roles involving data‑driven decision‑making.

Description

This beginner‑friendly course introduces you to the practical steps of analysing real‑world data using Python in JupyterLab. The curriculum begins with setting up and navigating the notebook environment, then progresses into writing readable notebooks that combine code and explanation. You’ll deepen your understanding of numerical operations using NumPy arrays and make use of pandas to filter, aggregate, pivot and transform datasets efficiently. Visualisation using matplotlib is included so you can convert analytical findings into meaningful charts. By the end of the course, you’ll be equipped to manipulate, visualise, and interpret data, essential skills for data science, reporting, research and business analysis.

Who is this course for?

This course is suitable for:

  • Python programmers who want to expand their skills into data analysis.
  • Aspiring data analysts or researchers looking to build proficiency with industry tools.
  • Professionals who work with data and want to communicate findings clearly.
  • Students and graduates preparing for analytics‑focused roles.

No advanced experience is required beyond basic Python fundamentals. This course takes you step by step through the essentials of working with data in an interactive environment.

Requirements

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

  • Have basic knowledge of Python syntax and programming constructs.
  • Be comfortable using a computer for coding tasks.
  • Bring a laptop/desktop with Python installed, or be ready to set up Python and JupyterLab as instructed.

This course introduces all key tools and techniques, so prior experience with data analysis libraries or Jupyter isn’t necessary.

Career path

Completing this course will strengthen your capabilities in analytical roles such as Data Analyst, Business Intelligence Assistant, Junior Data Scientist, or similar positions that involve interpreting and visualising datasets using Python.

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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.

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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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