Python Data Science: Data Prep & EDA with Python
Learn Python + Pandas for data cleaning, profiling & EDA, and prep data for machine learning & data science with Python
4.69 (1248 reviews)
7 700
students
8.5 hours
content
Nov 2024
last update
$84.99
regular price
What you will learn
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
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Our Verdict
Python Data Science: Data Prep & EDA with Python is a standout Udemy course that empowers learners to understand and apply essential data preparation and exploratory data analysis (EDA) techniques using Python. The course's well-structured design, high-quality resources, and engaging teaching style distinguish it from typical college courses, ensuring an efficient and effective learning experience. While certain users might appreciate a more thorough exploration of specific topics or advanced mathematical concepts, the course remains focused on providing user level knowledge and domain expertise that data professionals require in real-life applications.
What We Liked
- Comprehensive coverage of data preparation and exploratory data analysis (EDA) techniques using Python
- Well-structured and easy-to-follow course with PowerPoint slides, demo python notebooks, and assignments for self-study
- Incorporates domain knowledge, mathematical processes, and data science project life cycle into the curriculum
- Effective teaching ability that surpasses typical college courses in quality
Potential Drawbacks
- Minor issue: some content may seem repetitive if you already have a basic understanding of Python or Pandas
- A few users mentioned that the instructor's knowledge on select topics could be more in-depth
- The course does not cover advanced mathematics and coding concepts, focusing instead on user level knowledge
5457418
udemy ID
21/07/2023
course created date
30/07/2023
course indexed date
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