Description:
Data Analysis with Python is a comprehensive course designed to equip learners with the necessary skills for effectively analyzing and interpreting data using the Python programming language. This course provides a hands-on approach to data analysis, covering essential concepts and techniques.
Key Highlights:
- Data preprocessing and cleaning techniques
- Exploratory data analysis (EDA)
- Data visualization using libraries such as Matplotlib and Seaborn
- Statistical analysis and hypothesis testing
- Linear regression and predictive modeling
What you will learn:
- Data preprocessing and cleaning:
Understand how to handle missing data, outliers, and perform data transformations for analysis.
- Exploratory data analysis (EDA):
Learn how to explore and gain insights from data using descriptive statistics and visualization techniques.
- Data visualization:
Master the art of visualizing data effectively using libraries such as Matplotlib and Seaborn.
- Statistical analysis and hypothesis testing:
Understand the fundamentals of statistical analysis and perform hypothesis tests to make data-driven decisions.
- Linear regression and predictive modeling:
Build and evaluate linear regression models for prediction and understand the concepts of overfitting and regularization.
After successful purchase, this item would be added to your courses.
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