Python Data Analytics is a course designed to teach students how to use Python for data analysis and manipulation. The course covers the fundamental Python data structures and libraries, including NumPy, Pandas, Matplotlib, and Seaborn. The course also covers statistical analysis and data visualization using these libraries.
Throughout the course, students will learn how to:
Import and manipulate data using NumPy and Pandas
Clean and preprocess data using Pandas
Perform statistical analysis on data using NumPy and Pandas
Visualize data using Matplotlib and Seaborn
Apply machine learning techniques using scikit-learn
The course is suitable for beginners with no prior experience in Python or data analytics, as well as experienced programmers who want to learn how to use Python for data analysis.
By the end of the course, students will have a solid understanding of Python data analytics and be able to analyze and manipulate data using Python libraries. They will also have gained experience in data visualization and machine learning techniques, which are essential skills for many data-driven industries.