The Power of Professional Certificate in Data Wrangling Techniques: UK Success Stories in Action
-- viewing nowData Wrangling Techniques are crucial for organisations to make informed decisions in today's data-driven world. By mastering these techniques, professionals can unlock valuable insights and drive business success.
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About this course
This book, UK Success Stories in Action, showcases real-world examples of data wrangling in practice, highlighting the impact of effective data management on business outcomes.
From data analysis to data visualization, this book covers the essential skills and tools needed to extract value from complex data sets.
Whether you're a data professional or a business leader, this book provides actionable advice and inspiration to take your data wrangling skills to the next level.
Discover how to harness the power of data wrangling and drive business success in the UK. Explore the book to learn more and unlock the full potential of your data.
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Course details
• Data Wrangling Fundamentals: This unit covers the basics of data wrangling, including data cleaning, data transformation, and data visualization. It provides an overview of the data wrangling process and introduces key concepts such as data quality, data integrity, and data governance.
• Data Quality and Integrity: In this unit, students learn about the importance of data quality and integrity in data wrangling. They will understand how to identify and address data quality issues, and how to ensure data integrity through data validation, data normalization, and data standardization.
• Data Transformation Techniques: This unit focuses on data transformation techniques, including data aggregation, data filtering, and data sorting. Students will learn how to use various data transformation tools and techniques to prepare data for analysis.
• Data Visualization and Communication: In this unit, students learn about the importance of data visualization and communication in data wrangling. They will understand how to create effective data visualizations, and how to communicate data insights to stakeholders.
• Data Governance and Compliance: This unit covers the importance of data governance and compliance in data wrangling. Students will learn about data protection regulations, such as GDPR, and how to ensure data compliance through data classification, data access control, and data security.
• Data Wrangling with Python: In this unit, students learn how to use Python for data wrangling, including data cleaning, data transformation, and data visualization. They will understand how to use popular Python libraries such as Pandas, NumPy, and Matplotlib.
• Data Wrangling with R: This unit focuses on data wrangling with R, including data cleaning, data transformation, and data visualization. Students will learn how to use popular R libraries such as dplyr, tidyr, and ggplot2.
• Data Storytelling and Communication: In this unit, students learn about the importance of data storytelling and communication in data wrangling. They will understand how to create compelling data stories, and how to communicate data insights to stakeholders.
• Data Ethics and Bias: This unit covers the importance of data ethics and bias in data wrangling. Students will learn about data bias, data fairness, and data transparency, and how to ensure data ethics through data auditing, data testing, and data validation.
• UK Success Stories in Data Wrangling: In this unit, students learn about successful data wrangling projects in the UK, including case studies and best practices. They will understand how to apply data wrangling techniques to real-world problems and how to measure the impact of data wrangling on business outcomes.
Career path
**UK Data Wrangling Techniques Success Stories**
**Career Roles and Salary Ranges in the UK**
| Role | Salary Range (GBP) | Job Market Trend |
|---|---|---|
| Data Analyst - Extracts insights from data to inform business decisions | £30,000 - £50,000 | High demand (40% growth rate) |
| Business Intelligence Developer - Designs and implements data visualization solutions | £45,000 - £70,000 | High demand (35% growth rate) |
| Statistical Analyst - Analyzes data to identify trends and patterns | £25,000 - £40,000 | Medium demand (20% growth rate) |
| Database Administrator - Ensures data integrity and security | £30,000 - £50,000 | Medium demand (15% growth rate) |
| Machine Learning Engineer - Develops predictive models to drive business outcomes | £60,000 - £100,000 | High demand (50% growth rate) |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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THE POWER OF PROFESSIONAL CERTIFICATE IN DATA WRANGLING TECHNIQUES: UK SUCCESS STORIES IN ACTION
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who has completed a programme at
London School of Planning and Management
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05 May 2025
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