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Mastering Pandas in Python
Rating: 3.9 out of 5(34 ratings)
2,124 students

Mastering Pandas in Python

Mastering Pandas in Python. Learn everything you need as a developer, data scientist or ML engineer
Created byGeorge Paterakis
Last updated 10/2025
English
English [Auto],

What you'll learn

  • Learn the basic of Pandas Library
  • Read and Write files using Pandas (CSV/Excel)
  • Learn to plot data using Pandas
  • Learn to manipulate data (Add/Remove)
  • Combine Data using Pandas
  • Get summary Statistics for your data

Course content

2 sections • 12 lectures • 1h 58m total length

  • AI Community0:33

    Mastering Pandas in Python: join the free AI community to connect with others and access multiple courses, with updates in the classroom tab.

  • Introduction2:56

    Learn the basics of pandas, a fast, flexible Python library for data analysis and manipulation, and build data frames and series to handle tabular and time series data.

  • Read and Write Excel Files1:28

    Master the basics of reading and writing excel files with pandas, creating a data frame, exporting to an xlsx file with to_excel, and reading back with read_excel.

  • Read and Write CSV Files.4:48

    Read csv files with pandas by importing pandas as PD and using PD.read_csv with the file path. Explore separators, header options, and index settings to shape the dataset.

  • Basic Pandas Operations2:19

    Explore basic pandas operations on a dataframe, including head, tail, dtypes, shape, describe, info, and type, with practical code examples using import pandas as pd.

  • Filtering out rows and columns13:46

    Import pandas and load a csv to filter rows and columns in pandas dataframes using numeric masks, boolean indexing, and string matching with methods like filter, str.contains, and index-based selection.

  • Manipulating data10:26

    Master pandas by updating rows and columns in a data frame using df.columns or df.rename, dropping columns with df.drop, and modifying values with df.loc in place.

  • Combining Data12:12

    Master pandas by adding and removing rows and columns in a data frame, creating an extra column from name and sex, and filtering by age > 30 using in-place operations.

  • Plots using Pandas5:55

    Learn to create and compare Pandas plots, including line, scatter, box, and area plots from numeric dataframes. Set indices and select columns to reveal correlations between features, with Matplotlib support.

  • Pandas Summary Statistics5:08

    Explore computing summary statistics in Pandas, including mean, min, max, and describe, on numeric columns and use group by to compare mean ages by sex.

  • FREE COURSES0:07

Requirements

  • Basic knowledge of python need. Import package, dictionary, variables... Got free course teaching all the basics in 1 hour FREE.

Description

Unlock the power of data manipulation and analysis with our free Udemy course, "Mastering Pandas in Python."  This comprehensive online course is designed to equip you with the essential skills needed to become a proficient data analyst using the Pandas library in Python.

Positive Aspects:

  1. Comprehensive Curriculum: Our course covers Pandas from the ground up, making it suitable for beginners and intermediate learners. It includes topics like data structures, data cleaning, filtering, grouping, and advanced data analysis techniques.

  2. Hands-On Practice: Throughout the course, you'll have access to numerous practical exercises and real-world projects that reinforce your understanding and provide valuable experience.

  3. Experienced Instructors: Learn from seasoned instructors with expertise in data analysis and Pandas. They provide clear explanations and share best practices, ensuring you grasp each concept effectively.

  4. Free Access: The course is completely free, making it accessible to learners from all backgrounds. You can upgrade to a paid version for additional features, but the core content is available at no cost.

Reasons to Get It:

  1. Learn a Critical Skill: Pandas is an indispensable tool in data analysis, and mastering it can open doors to lucrative career opportunities in fields like data science and business intelligence.

  2. Cost-Efficient: This course is an excellent starting point for individuals who want to learn Pandas without the financial commitment of a paid course.

  3. Hands-On Experience: Gain practical experience by working on problems encountered in industry.

  4. Flexible Learning: Access the course content at your own pace, allowing you to balance your learning with other commitments.

In conclusion, the "Mastering Pandas in Python" free Udemy course is a valuable resource for anyone looking to enhance their data analysis skills. It offers a comprehensive curriculum, hands-on practice, and the flexibility to learn at your own pace. While it lacks some of the benefits of paid courses, it's an excellent starting point for those on a budget or exploring Pandas for the first time.

Who this course is for:

  • Beginner programmers
  • Beginner python developers

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