Data Wrangling Course

USD 127
USD 64

Duration
02:40:44 hours

Access Time
Lifetime

Language
Arabic

Resources
(5)

USD 127
USD 64

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About the instructor

Eithar Alfatih

Senior Data Scientist

Eithar Elbasheer is a Senior Data Scientist, educator, and mentor with extensive experience across various industries. She has successfully led projects in advanced analytics, machine learning, and data visualization, showcasing her ability to transform complex data into meaningful insights. Eithar’s expertise includes developing predictive models, extracting actionable insights, and crafting compelling data narratives to support data-driven decision-making

Objectives of Data Wrangling Course

This course is designed to teach beginners the essential skills to handle real-world datasets effectively. This course focuses on practical data cleaning, transformation, and preparation techniques using Python libraries such as pandas and numpy. Students will learn to load, explore, clean, and preprocess messy datasets to make them analysis-ready. By the end of the course, participants will be equipped with the skills to manipulate data, handle missing values, and create new features, forming a strong foundation for advanced data science tasks

You Will Learn

Techniques to clean messy data, handle missing values, and remove duplicates.
Methods to explore datasets and inspect key attributes such as data types and summaries.
How to reshape and transform data using operations like pivoting, melting, and sorting.
Aggregation and grouping techniques using pandas to extract insights from data.
Creating new features to enhance datasets for analysis.

Targeted Students

Beginners in data science or Python programming
Students with basic knowledge of programming who want to learn data wrangling and preprocessing
Aspiring data analysts or data scientists looking to work with real-world datasets
Professionals seeking to improve their data manipulation and cleaning skills