Enroll Course: https://www.udemy.com/course/learn-python-libraries-for-data-analysis-data-manipulation/
If you’re looking to enhance your data analysis skills with Python, the ‘Learn Python Libraries For Data Analysis & Data Manipulation’ course on Udemy is an excellent choice. This course offers a thorough overview of key Python libraries, especially focusing on Pandas, which is essential for data manipulation and analysis.
The course begins with foundational topics such as installing Pandas and understanding its core data structures like Series and DataFrames. It then progresses into creating and manipulating DataFrames, including setting indices, locating data, and performing basic operations. The course also covers reading various data formats like CSV and Excel files, along with exploratory data analysis (EDA) using real datasets such as Game of Thrones and Titanic.
One of the standout features is the detailed section on handling missing data, which is crucial for real-world data processing. The course also dives into connecting Pandas with MySQL databases, reshaping data with pivot tables, stacking, unstacking, and melting, as well as working with time series data. Additionally, it explores working with JSON data, APIs, and even includes practical projects like weather data analysis and stock price evaluation.
The hands-on projects, such as EDA on Titanic and Tips datasets, make the learning practical and applicable. The course is well-structured, covering both theoretical concepts and practical implementation, making it suitable for beginners and intermediate learners.
Overall, I highly recommend this course for anyone interested in mastering data analysis with Python. Its comprehensive content, real-world datasets, and practical projects make it a valuable resource to build a strong foundation and advance your data analysis skills.
Enroll Course: https://www.udemy.com/course/learn-python-libraries-for-data-analysis-data-manipulation/