Data Wrangling Techniques with Python Free Course
Data Wrangling Techniques with Python
Master the essential skills of working with raw data in our Data Wrangling Techniques with Python course. This beginner-friendly program introduces learners to the tools and methods required to clean, restructure, and prepare datasets for deeper analysis. With a focus on real-world applications, you will explore how to manage messy data and make it ready for effective use in analytics and machine learning projects. Whether you are a student, professional, or career changer, this course will guide you through practical approaches to building a strong foundation in data management. By the end, you will have the confidence to handle real-life data scenarios using one of the most versatile programming languages.
The Data Wrangling Techniques with Python course is structured to be simple yet comprehensive, ensuring that learners at all levels can benefit. From understanding the basics of data preparation to advanced reshaping techniques, the course highlights key steps in transforming unstructured data into meaningful insights. Through engaging modules and practical exercises, you’ll gain hands-on experience with Python libraries, making your learning process both effective and rewarding.
Who Should Take This Course
This course is designed for learners from diverse backgrounds who want to strengthen their data-handling abilities:
- Students looking to build practical data skills to support academic or professional growth.
- Beginners in programming who wish to gain applied knowledge in Python through real data tasks.
- Business professionals seeking to enhance their ability to manage and analyze raw data efficiently.
- Researchers and academics who regularly deal with large or unstructured datasets.
- Data enthusiasts eager to explore the foundations of data preprocessing and wrangling.
- Professionals in IT, marketing, or finance aiming to improve data-driven decision-making.
- Career changers who wish to transition into data analytics or data science roles.
- Analysts and managers looking to strengthen reporting accuracy through clean, structured data.
- Entrepreneurs aiming to extract meaningful insights from their own business data.
- Anyone interested in practical applications of Python for working with real-world datasets.
By the end of this course the learner will be able to:
- Understand the definition, scope, and applications of data wrangling in data science and artificial intelligence.
- Explore the evolution of data wrangling techniques and their role in preparing data for analysis and model training.
- Learn about core data wrangling methods such as handling missing values, removing duplicates, data type conversions, and feature transformations using Python.
- Understand the differences between traditional manual data cleaning approaches and Python-based automated wrangling techniques.
- Explore the basic principles behind using Python libraries such as Pandas and NumPy for effective data manipulation and preprocessing.
- Discover how data wrangling enhances the quality, reliability, and usability of datasets for machine learning, AI applications, and business decision-making.
At Oxford Home Study Centre, every free online course is completely free of charge from enrolment to completion. There are no hidden costs – all study resources are provided through our interactive online platform, and learners enjoy the freedom of studying at their own pace with full flexibility.
Our exclusive free courses give you the chance to gain valuable knowledge, build new skills, and explore exciting career opportunities without financial barriers. Once you successfully complete your chosen course, you’ll also have the option to upgrade your achievement with one of three professional certificates (available for a small fee):
- Course Completion Certificate issued directly by Oxford Home Study Centre
- CPD Accredited Certificate to strengthen your CPD portfolio
- Quality Licence Scheme Endorsed Certificate for recognised professional credibility
Each certificate is designed to add value to your CV, enhance your job prospects, and support career progression. While certificates are optional, they can make a real difference when applying for new roles or advancing with your current employer.
For full details of certificate pricing and postage options, please visit our pricing page or get in touch with the Oxford Home Study Centre team today.
COURSE CONTENT
This Free Data Wrangling Techniques with Python Course covers the following modules:
Module 1: Introduction to Data Wrangling
Learn the fundamentals of data wrangling, why it is important, and how it supports accurate decision-making by preparing raw data for analysis.
Module 2: Data Cleaning and Preprocessing
Explore methods to remove errors, inconsistencies, and duplicates while learning how to prepare datasets for deeper insights in analytics projects.
Module 3: Data Transformation and Reshaping
Understand how to restructure, merge, and reshape data into usable formats, ensuring smooth integration into analytical and machine learning models.
HOW IT WORKS
Enhance your skills with our highly informative courses.
Pass the assignments by getting the required marks.
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WHY GET CERTIFIED
Earning a certification builds employer confidence in your skills. You can effortlessly add the credential to your portfolio and share it across platforms.
Earning a certification showcases your advanced skills and commitment to professional growth. This significantly increases your chances of getting hired.
Expanding your knowledge and skills is essential for landing a job, advancing to higher positions, and exploring new career paths.
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Course Info
| Course Level | Level 1 |
| Awarding Body | OHSC |
| Course Duration | 200 Hours |
| Entry Requirements | Open to All |
| Start Date | Ongoing |
