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Course Includes:
  • ci Online Study Mode
  • ci 450 Hours
  • ci Study at your own Pace
  • ci Completion Certificate

Key Aspects of Course

  • icon Level 5 Diploma
  • icon Full Online Course
  • icon CPD Approved
  • icon Employer Approved
  • icon Fully Endorsed Course
  • icon 450 Hours Training
  • icon No Entry Requirements
  • icon Boost Your Resume
  • icon Own Pace Study
  • icon Premium Course Material
  • icon Completion Certificate
Special offer

£80

£400
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Data Wrangling Techniques with Python

 

The Data Wrangling Techniques with Python course is designed to provide learners with a strong foundation in handling, cleaning, and preparing raw data for meaningful analysis. Using Python for Data Cleaning, this course equips students with the essential skills to transform unstructured data into well-organized datasets ready for advanced analytics and machine learning. Learners will gain hands-on experience in identifying data quality issues, handling missing values, and applying preprocessing techniques to improve data reliability.

 

This comprehensive Course Overview also covers data transformation, reshaping, merging, and visualization, ensuring learners understand the complete data wrangling process. By the end of this course, participants will confidently use Python for Data Cleaning to automate workflows, manage complex data types, and apply wrangling skills to real-world projects. Whether you are a beginner or an experienced professional, this course provides the tools and techniques needed to master Data Wrangling Techniques with Python.

Learning Outcomes
  • Data cleaning and preprocessing
  • Data transformation and reshaping
  • Automating data wrangling tasks
  • Data visualization for insights
  • Handling missing and duplicate data
  • Dataset merging and integration
  • Wrangling complex and unstructured data
  • Real-world project implementation
Who should learn
this course
  • Data analysts
  • Business analysts
  • Data scientists
  • AI and ML professionals
  • Researchers and academicians
  • Software developers
  • IT professionals
  • Students pursuing a career in data science

SYLLABUS

Module 1

Module 1

Introduction to Data Wrangling

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Module 2

Module 2

Data Cleaning and Preprocessing

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Module 3

Module 3

Data Transformation and Reshaping

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Module 4

Module 4

Merging and Combining Datasets

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Module 5

Module 5

Data Visualization for Wrangling Insights

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Module 6

Module 6

Automating Data Wrangling Tasks

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Module 7

Module 7

Wrangling Complex Data Types

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Module 8

Module 8

Capstone Project: Real-World Data Wrangling

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Future market Growth
250 Billion

Expected Artificial Intelligence market growth by the end of 2026

90% Growth

Increased in growth in different learning organizations

Career opportunities

Average Salary

£50k - £110k per Annum

Hiring Companies

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Certifications
Frequently Asked Questions (FAQs)

Our AI Intelligence courses are entirely self-paced, allowing you to study whenever it suits you best. Whether you finish quickly or take your time, there are no deadlines or expiry dates.

No attendance is required. All Artificial Intelligence study materials and assessments are delivered online, enabling full home-study learning without any campus visits.

The course fee displayed on the website includes everything—learning materials, registration, and tutor support. Unless you decide to upgrade your certificate, there are no additional charges.

You’ll be guided by a dedicated tutor who specialises in Artificial Intelligence. They will assist with academic questions, clarify difficult topics, and provide detailed assessment feedback.

Absolutely. Our AI Intelligence courses are open to learners worldwide. As long as you have internet access, you can join from any country.

Our introductory AI Intelligence courses are created specifically for newcomers. They focus on foundational AI concepts before moving into advanced algorithms and applications, making them ideal for first-time learners.

All you’ll need is a laptop or computer with a stable internet connection. Every learning resource, including modules and assessments, is provided digitally—no additional software is required.

Yes. The entire learning journey is completed online, including lessons, reading materials, assignments, and tutor communication. There is no requirement for in-person training.

Upon finishing your chosen programme, you’ll receive an endorsed certificate that can enhance your CV and support your entry into the growing Artificial Intelligence industry.

Completing an AI course can lead to roles such as AI technician, data analyst, machine learning assistant, automation specialist, or support positions within tech-driven companies. Advanced study may open doors to senior AI and machine learning roles.