Data Manipulation in Python: A Pandas Crash Course

Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.
4.65 (1874 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Data Manipulation in Python: A Pandas Crash Course
38 874
students
9 hours
content
Feb 2025
last update
$89.99
regular price

Why take this course?

🧐 Course Headline: 🚀 Data Manipulation in Python: A Pandas Crash Course 📊

🔥 Transform Your Data Skills: Learn how to use Python and Pandas for data analysis and manipulation. Master the art of transforming, cleaning, and merging data with Python to make sense of complex datasets.

🌍 Why This Course? In the real-world, data is rarely clean, which makes tools like Pandas indispensable. If you're finding that data manipulation is slowing down your data analysis workflow, this course is your golden ticket! Take control of your data, and don't let it control you. 🔄

When data preparation can take up to 80% of a data scientist's time, learning efficient data munging techniques is crucial for success. With Pandas, you can turn raw data into a final product for analysis more quickly, allowing you to focus on the problem-solving aspects rather than getting bogged down in the details.

This course will guide you through the power of Pandas DataFrames, teaching you advanced manipulation, preparation, sorting, blending, and data cleaning methods to transform chaotic data into a polished final product ready for analysis, visualization, or machine learning tasks. That's why giants like Google, Facebook, JP Morgan, and more rely on Pandas in their data science endeavors.

🎓 Who Is This Course For? If you're looking to:

  • Learn common and advanced Pandas techniques to streamline your data manipulation process. 🚀
  • Spend less time data-wrangling and more time on problem-solving. 🕰️
  • Shape and manipulate data efficiently for statistical analysis or machine learning applications. 📈
  • Utilize the latest version of Python with the industry-standard Pandas library. 💻

Then this course is your next step! Enroll to gain insights from Ph.D. Samuel Hinton, your expert instructor, and start mastering Pandas today.

🤔 Challenges You'll Overcome: This course addresses the challenges that come with using Pandas:

  • Pandas Steep Learning Curve: Whether you're a beginner or an intermediate user, this course will help you navigate every aspect of Pandas smoothly. 🛤️
  • Inadequate Documentation: Advanced functions can be tricky without proper guidance. This course makes understanding advanced Pandas techniques straightforward and time-efficient. ⏱️

📚 Curriculum Overview:

  • Loading and Creating DataFrames: Get started with the basics of creating and handling data in Pandas. 📈
  • Data Visualization: Learn to create basic plots and various types of visualizations from 1D to multidimensional. 📊
  • Basic DataFrame Manipulations: Master indexing, labeling, ordering, slicing, filtering, and more. ✏️
  • Advanced Pandas Techniques: Explore multiIndexing, stacking, hierarchical indexing, pivoting, melting, and much more. 🔢
  • DataFrame Grouping: Aggregation, imputation, and advanced grouping operations. 🏗️
  • Time Series Manipulations: Reindexing, resampling, rolling functions, method chaining, and filtering with time series data. ⏱️
  • Merging DataFrames: Learn how to intelligently combine datasets for more robust analysis. 🔗

👩‍💻 Practical Learning Experience: This course is packed with practical exercises and a cheatsheet, all based on real-life examples, ensuring you not only grasp the concepts but can apply them in your work as well. 💪

Ready to elevate your data manipulation skills? Enroll in "Data Manipulation in Python: A Pandas Crash Course" today and become a data master! 🎓🎉

Course Gallery

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Comidoc Review

Our Verdict

A data manipulation crash course that lives up to its name, offering an intense overview of Python and Pandas capabilities. While experienced coders may find the pace suitable, beginners could struggle to follow along. For a well-rounded curriculum, supplement this course with additional resources focusing on foundational concepts.

What We Liked

  • Comprehensive coverage of data manipulation techniques using Python and Pandas
  • Organized course structure guiding learners from basics to advanced topics
  • Real-world, hands-on examples provided by a knowledgeable instructor
  • Exercises and supplemental materials for practice
  • Engaging teaching style with humor keeping the content interesting

Potential Drawbacks

  • Fast pace that may require pausing or rewinding to understand
  • Some sections might be too advanced without a strong foundation in Python and Pandas
  • Assumes prior knowledge of basic/advanced syntax
  • Lack of in-depth explanation for some code snippets
  • Occasionally vague question prompts in the exercises

Related Topics

2860646
udemy ID
09/03/2020
course created date
21/03/2020
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