Enroll Course: https://www.udemy.com/course/eda-descriptive-statistics-using-python-part-1/
If you’re venturing into the world of data science and looking to build a solid foundation in exploratory data analysis, the Udemy course ‘EDA / Descriptive Statistics using Python (Part – 1)’ is an excellent starting point. This course offers a structured approach to understanding how to handle data science projects effectively, emphasizing the importance of understanding business problems, defining success criteria, and applying data collection and analysis techniques.
One of the standout features of this course is its focus on project management methodology tailored for data science. It introduces learners to essential concepts such as creating a Project Charter, understanding data types, and measuring data through various statistical moments. The course also delves into primary data collection methods, including surveys and experiments, providing practical insights into gathering high-quality data.
The core of the course revolves around Exploratory Data Analysis (EDA), where learners explore univariate, bivariate, and multivariate data through graphical tools like histograms, box plots, scatter plots, and Q-Q plots. These visualizations are crucial for uncovering underlying data patterns and preparing data for modeling.
Another vital aspect covered is data preprocessing. Participants will learn to handle outliers, perform imputation, and apply scaling techniques, all with practical datasets. This hands-on approach ensures that learners can confidently prepare data for machine learning models.
Overall, this course is highly recommended for beginners and intermediate data science enthusiasts who want to strengthen their understanding of data analysis techniques using Python. It equips learners with both theoretical knowledge and practical skills necessary for successful data science projects.
Enroll Course: https://www.udemy.com/course/eda-descriptive-statistics-using-python-part-1/