Master Pandas and Python for Data Handling [2025]
Master Python, Pandas & data analysis! Learn data science & machine learning techniques for powerful insights. Hands-on skills for data professionals.
Course Content
Master Pandas and Python for Data Handling [2025] is an all-levels Udemy course taught by Henrik Johansson. It runs 30h 7m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 777 reviews, with 3,609 students enrolled. It is a paid course, last updated October 2025.
Master Python, Pandas & Data Handling: A Comprehensive Course
Unlock the power of data with this comprehensive, two-in-one video course designed to take you from beginner to proficient in Python 3, Pandas 2-3, and essential Data Handling techniques.
What You'll Learn:
- Python Programming Mastery: Build a strong foundation in Python, including its core data structures, powerful data transformers, functions, object-oriented programming principles, and logic. Learn to design advanced Python constructions and execute detailed Data Handling tasks, including file handling.
- Pandas Data Analysis: Become proficient with the Pandas library, the industry-standard tool for data analysis and data manipulation. Master its powerful Data Handling techniques for advanced Data Science, Statistics, and Machine Learning applications.
- Advanced Data Manipulation: Learn to manipulate complex data, including multi-dimensional and uneven data structures.
- Data Preparation & Cleaning: Perform advanced data preparation, including model-based imputation of missing data and data scaling/standardization.
- Data Visualization & Statistics: Create advanced data descriptions and statistics using Pandas. Rank, sort, cross-tabulate, pivot, melt, transpose, and group data. [Bonus] Explore advanced data visualizations with Pandas, Matplotlib, and Seaborn.
- File Handling: Effectively handle data from various file formats using Pandas. Learn to combine Pandas DataFrames using
concat,join, andmergefunctions. - Object-Oriented Programming: Leverage Python's advanced object-oriented programming capabilities to create custom objects and functions, and generalize code for reusability.
- Cloud Computing: Utilize the Anaconda Cloud Notebook (cloud-based Jupyter Notebook) and learn fundamental cloud computing skills.
- Environment Management: Master Python environment fundamentals with the Conda package management system, including command-line installation and updating of libraries.
Why This Course?
Data Handling is a critical skill for Data Scientists and Machine Learning Engineers, consuming approximately 80% of their time. This course equips you with the Python and Pandas skills to become significantly more productive.
- Beginner-Friendly: No prior programming experience is required. We'll teach you everything you need to know.
- Progressive Learning: Whether you're starting from scratch or have experience with other languages, you'll reach an intermediate Python proficiency level.
- Practical & Applied: Focus on real-world Data Handling tasks and techniques.
- Comprehensive: Over 25 hours of video tutorials with manually edited English captions.
- Bonus: Certificate of Completion.
- Cost-Effective: The course utilizes only free software.
- Setup Support: Includes step-by-step installation and setup videos for Cloud computing and Windows 10/11.
Who is this course for?
This course is ideal for anyone who wants to:
- Master Python 3 from scratch or with existing programming knowledge.
- Become proficient in Pandas for data analysis.
- Develop valuable Data Handling skills for career advancement.
- Improve productivity and efficiency in data-related tasks.
Requirements:
- A computer with internet access.
- Familiarity with using a computer (Windows, macOS, iOS, Android, ChromeOS, or Linux).
- No prior programming experience needed.
Enroll now and transform your data skills!
Want AI in your product? Hire the team behind TutorialSearch.io
LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.