Python Data Science: Data Prep & EDA with Python — 93% OFF Coupon

Learn Python + Pandas for data cleaning, profiling & EDA, and prep data for machine learning & data science with Python

★4.7 out of 5
11,271 students
English
Updated April 2026

Quick Facts — Python Data Science: Data Prep & EDA with Python Overview

Here's a quick overview of everything you need to know about Python Data Science: Data Prep & EDA with Python before you enroll:

•Course Name: Python Data Science: Data Prep & EDA with Python
•Platform: Udemy
•Instructor: Maven Analytics, Alice Zhao
•Coupon Last Verified: April 22, 2026
•Level: All Levels
•Topic: Development
•Subtopic: Data Science
•Total Time: 8h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Master the core building blocks of Python for data science BEFORE applying machine learning algorithms · Scope data science projects by clearly defining the goals, techniques, and data sources needed for your analysis · Import and export flat files, Excel workbooks, and SQL database tables using Pandas
•Requirements: Jupyter Notebooks (free download, we'll walk through the install) · Familiarity with base Python and Pandas is recommended, but not required
•Current Price: $11.99 (was $169.99). You save $158.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master in This Course

By the end of Python Data Science: Data Prep & EDA with Python, you'll have these practical skills:

✓Master the core building blocks of Python for data science BEFORE applying machine learning algorithms .
✓Scope data science projects by clearly defining the goals, techniques, and data sources needed for your analysis .
✓Import and export flat files, Excel workbooks, and SQL database tables using Pandas .
✓Clean data by converting data types, handling common data issues, and creating new columns for analysis .
✓Perform exploratory data analysis (EDA) by sorting, filtering, grouping, and visualizing data to discover patterns and insights .
✓Prepare data for machine learning models by joining tables, aggregating rows, and applying feature engineering techniques.

Prerequisites for This Course

Before enrolling in Python Data Science: Data Prep & EDA with Python, make sure you have:

•Jupyter Notebooks (free download, we'll walk through the install)
•Familiarity with base Python and Pandas is recommended, but not required

About This Udemy Course

The following is the full official course description for Python Data Science: Data Prep & EDA with Python as published on Udemy by instructor Maven Analytics, Alice Zhao:

This is a hands-on, project-based course designed to help you master the core building blocks of Python for data science and machine learning.

We'll start by introducing the fields of data science and machine learning, discussing the difference between supervised and unsupervised learning, and reviewing the Python data science workflow we'll be using throughout the course.

From there we'll do a deep dive into the data prep & EDA steps of the workflow. You'll learn how to scope a data science project, use Python and Pandas to gather data from multiple sources and handle common data cleaning issues, and perform exploratory data analysis (EDA) using techniques like filtering, grouping, and visualizing data.

Throughout the course, you'll play the role of a Jr. Data Scientist for Maven Music, a streaming service that’s been struggling with customer churn. Using the skills you learn throughout the course, you'll use Python to gather, clean, and explore the data to provide insights about their customers.

Last but not least, you'll practice preparing data for data science and machine learning models by joining multiple tables, adjusting row granularity, and engineering useful fields and features.

COURSE OUTLINE:

Intro to Data Science & Machine Learning
  • Introduce the field of data science, review essential skills, and introduce each phase of the data science workflow
Scoping a Project
  • Review the process of scoping a data science project, including brainstorming problems and solutions, choosing techniques, and setting clear goals
Gathering Data
  • Read flat files into a Pandas DataFrame in Python, and review common data sources & formats, including Excel spreadsheets and SQL databases
Cleaning Data
  • Identify and convert data types, find and fix common data quality issues like missing values, duplicates, and outliers, and create new columns for analysis
Exploratory Data Analysis (EDA)
  • Explore datasets to discover insights by sorting, filtering, and grouping data, then visualize it using common chart types like scatterplots & histograms
MID-COURSE PROJECT
  • Put your skills to the test by cleaning, exploring, and visualizing data from a brand-new data set containing Rotten Tomatoes movie ratings
Preparing for Modeling
  • Structure your data so that it’s ready for machine learning models by creating a numeric, non-null table and engineering new features
FINAL COURSE PROJECT

Apply all the skills learned throughout the course by gathering, cleaning, exploring, and preparing multiple data sets for Maven Music

Ready to dive in? Join today and get immediate, LIFETIME access to the following:
  • 8.5 hours of high-quality video
  • 16 homework assignments
  • 7 quizzes
  • 2 projects (1 mid-course, 1 final)
  • Data Science in Python: Data Prep & EDA ebook (190+ pages)
  • Downloadable project files & solutions
  • Expert support and Q&A forum
  • 30-day Udemy satisfaction guarantee
If you're an aspiring data scientist or business intelligence professional looking for an introduction to the world of machine learning and data science with Python and Pandas, this is the course for you.

Happy learning!

-Alice Zhao (Python Expert & Data Science Instructor, Maven Analytics)

__________

Looking for our full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau and Machine Learning courses!

See why our courses are among the TOP-RATED on Udemy:

"Some of the BEST courses I've ever taken. I've studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I've seen!" Russ C.

"This is my fourth course from Maven Analytics and my fourth 5-star review, so I'm running out of things to say. I wish Maven was in my life earlier!" Tatsiana M.

"Maven Analytics should become the new standard for all courses taught on Udemy!" Jonah M.

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Is the Python Data Science: Data Prep & EDA with Python Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 22, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Python Data Science: Data Prep & EDA with Python is a high-value resource for learners seeking to build skills inDevelopment. Taught by Maven Analytics, Alice Zhao on Udemy, the 8h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $169.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 11,271 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Python Data Science: Data Prep & EDA with Python:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Python Data Science: Data Prep & EDA with Python has earned an aggregate rating of 4.7 out of 5 from 11,271 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.7
★★★★★
11,271 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

About the Instructor — Maven Analytics, Alice Zhao

Python Data Science: Data Prep & EDA with Python is taught by Maven Analytics, Alice Zhao, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Maven Analytics, Alice Zhao
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Python Data Science: Data Prep & EDA with Python, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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