Enroll Course: https://www.udemy.com/course/data-science-in-python-data-prep-eda/
Are you looking to break into the exciting fields of data science and machine learning? Do you want to gain practical, hands-on experience with Python, the go-to language for data professionals? Then look no further than Udemy’s ‘Python Data Science: Data Prep & EDA with Python’ course.
This course, taught by Python expert Alice Zhao from Maven Analytics, is designed as a project-based journey, immersing you in the core building blocks of data science. It starts with a foundational overview, clearly explaining the differences between supervised and unsupervised learning and outlining the typical Python data science workflow. The real magic, however, happens in the deep dive into data preparation and Exploratory Data Analysis (EDA).
You’ll learn how to effectively scope a data science project, a crucial first step that many beginners overlook. The course then guides you through gathering data from various sources using Python and Pandas, tackling common data cleaning challenges head-on. This includes identifying and fixing missing values, duplicates, and outliers, as well as converting data types and creating new columns for deeper analysis.
What truly sets this course apart is its practical, real-world application. You’ll step into the shoes of a Jr. Data Scientist for ‘Maven Music,’ a fictional streaming service grappling with customer churn. By applying the learned skills, you’ll gather, clean, and explore customer data to uncover valuable insights. This project-based approach ensures you’re not just learning theory, but actively applying it.
The curriculum is meticulously structured, covering everything from reading flat files and understanding different data sources to performing sophisticated EDA using filtering, grouping, and visualization techniques like scatterplots and histograms. A mid-course project lets you test your skills on Rotten Tomatoes movie ratings, and the final project brings all your knowledge together for the Maven Music case study.
Furthermore, the course prepares you for the subsequent stages of machine learning by teaching you how to structure data for models, create numeric, non-null tables, and engineer new features. The comprehensive package includes 8.5 hours of video, numerous assignments and quizzes, two major projects, a detailed ebook, downloadable project files, and access to expert support.
Whether you’re an aspiring data scientist or a business intelligence professional eager to leverage Python and Pandas, this course offers an exceptional introduction. The positive reviews from previous students, praising Maven Analytics’ teaching quality, further solidify its value. With a 30-day satisfaction guarantee, there’s no reason not to invest in your data science journey.
Highly recommended!
Enroll Course: https://www.udemy.com/course/data-science-in-python-data-prep-eda/