Data Analysis with Pandas and Python 2025

Learn how to use the Python's powerful pandas library for data analysis and manipulation.
4.92 (6 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Data Analysis with Pandas and Python 2025
87
students
16.5 hours
content
May 2025
last update
$19.99
regular price

Why take this course?

🌟 Master Data Analysis with Pandas and Python Masterclass 2025 🌟

Unlock the Power of Data with Python's Pandas Library!


πŸš€ Course Overview:

Embark on a journey to master data analysis using Python's most powerful tool for data manipulation - pandas. Whether you're an absolute beginner or looking to sharpen your skills, this comprehensive Masterclass is designed to guide you through every step of the way with hands-on experience.


πŸŽ“ What You'll Learn:

  • Python Setup: Get up and running with Python Anaconda Distribution, Python/PyCharm IDE, and Jupyter notebook - your new data analysis powerhouse.
  • Dataframe Creation: Import data from various sources, perform complex operations, and export your findings.
  • Data Analysis Techniques: Utilize pandas functions like head, tail, describe, info, and shape to uncover insights from data.
  • Data Selection & Filtering: Master data manipulation through slicing, filtering, and querying with pandas' powerful selection methods.
  • Data Cleaning & Treatment: Learn to address missing values, outliers, and inconsistencies in your datasets with cleaning techniques.
  • Data Grouping & Pivoting: Discover how to group data effectively, pivot tables, sort datasets, concatenate files, merge datasets, and join observations.
  • Pandas Series: Work with pandas' most fundamental object, the Series, through real-world examples.
  • Complete Python Introduction: Dive into the basics of Python including syntax, indentation, comments, and data types.
  • Flow Control & Pattern Programming: Understand conditional logic, loops, and write pattern programs to solve complex problems.
  • Comprehensive Python Syntax: Explore all Python operators, statements, and their applications in practical scenarios.

πŸ“š Course Curriculum at a Glance:

  1. Python Anaconda & Jupyter Notebook - Your foundation for data analysis.
  2. Pandas Dataframes - Mastering the creation, selection, and modification of tabular data.
  3. Data Analysis Functions - Get adept at functions that describe and summarize your datasets.
  4. Data Cleaning & Preparation - Learn to handle missing values and inconsistencies.
  5. Advanced Data Manipulation - Grouping, pivoting, sorting, concatenating, merging, and joining data like a pro.
  6. Python Fundamentals - A comprehensive guide from basics to complex syntax.
  7. Python Flow Control & Patterns - Understanding and writing conditional and loop-based programs.
  8. Python Data Types & Operators - From integers to dictionaries, learn them all.
  9. Python Input/Output - Communicate with the outside world through Python statements.

πŸ“… Why Enroll?

  • Lifetime Access: Continue learning beyond the classroom with lifetime access to course materials.
  • Money-Back Guarantee: Enroll risk-free with our 30-day money-back guarantee. If you're not satisfied, we've got your back!
  • Skill Boost for Career Growth: Get the Python skills sought after by employers worldwide and open doors to new job opportunities or career advancements.
  • Success Stories: Join the ranks of students who have secureed their first jobs or received promotions after completing this course.

🌍 Your Path to Proficiency:

Each concept is demystified with practical examples, ensuring you not only understand the theory but can apply it in real-world scenarios. This course is specially crafted for absolute beginners and those looking to build robust Python applications.


Ready to elevate your data analysis skills and unlock new career opportunities? πŸ” Enroll in Data Analysis with Pandas and Python Masterclass 2025 today and start your journey towards becoming a data analysis expert! Happy learning, and see you inside the course! πŸš€βœ¨

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6308767
udemy ID
26/11/2024
course created date
05/03/2025
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