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Data Wrangling & Visualisation
Uptrail

Master SQL, Pandas & Seaborn. Learn Data Wrangling, Feature Engineering and professional Visualisation techniques.

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
1.8 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free

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Overview

In the world of data, raw information is rarely ready for analysis. This course provides a comprehensive roadmap to mastering Data Wrangling and Visualisation, the two most critical skills for any data professional. You will learn how to take "messy" real-world data and transform it into a clean, structured format before bringing it to life with professional-grade visualisations.

From mastering SQL databases and Pandas manipulation to performing Feature Engineering and creating deep-dive charts with Seaborn, this course covers the end-to-end workflow of a modern Data Analyst.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

1
section
3
lectures
1h 49m
total

Course media

Description

This course is divided into seven intensive modules designed to build your technical proficiency from the ground up:

  • Module 01: The Role of Data Wrangling in Analytics Understand why wrangling is critical before modelling and explore real-world examples of data cleaning in action.

  • Module 02: Core Transformation Techniques Learn the essential methods for reshaping and cleaning datasets to ensure accuracy and consistency.

  • Module 03: Basics of Feature Engineering Master advanced preparation techniques including Encoding Features, Scaling & Normalization, and Feature Selection to prepare data for machine learning.

  • Module 04: Introduction to SQL & Relational Thinking Gain a solid foundation in relational databases. Learn how to query data using SELECT, WHERE, GROUP BY, and JOIN commands.

  • Module 05: Advanced Pandas Techniques Go beyond the basics of Python’s most powerful data library to handle complex data manipulation tasks with ease.

  • Module 06: Matplotlib Essentials Learn the fundamentals of data plotting to create clear, concise, and professional static visualisations.

  • Module 07: Seaborn Deep Dive Master high-level statistical graphics to uncover patterns and insights within your data through beautiful, complex visualisations.

Who is this course for?

  • Aspiring Data Analysts looking to build a professional portfolio.

  • Data Scientists who want to strengthen their data preprocessing and feature engineering skills.

  • Business Intelligence Professionals needing to move beyond Excel into SQL and Python.

  • Students and Researchers who need to clean and visualise complex datasets for academic or professional projects.

Requirements

  • A basic understanding of Python programming is recommended.

  • Familiarity with fundamental data concepts (rows, columns, and tables).

  • A computer with an internet connection to access course materials and software tools.

  • No prior experience with SQL or advanced libraries is required; we start from the essentials.

Career path

Completing this course prepares you for high-demand roles such as:

  • Data Analyst (£30k – £55k+)

  • Junior Data Scientist

  • Business Intelligence (BI) Developer

  • Data Engineer (Entry Level)

  • Market Research Analyst

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FAQs

Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2026. All rights reserved.