Overview
Python is the leading programming language crucial for data science, making it essential for kick-starting or advancing your career in the field. This course covers the core skills required to write and execute Python code effectively.
Gain an understanding of basic Python concepts to set a strong foundation for data science projects. Learn to handle data efficiently, performing operations like loading, cleaning, and transforming with industry-standard Python packages such as Numpy and Pandas.
Enhance your abilities by learning to visualize data insights using Matplotlib and Seaborn, improving communication of key analysis findings. The course concludes with a practical case study on financial data, integrating your skills in a real-world scenario.
Upon completion, you will be able to:
- Write and execute Python code to manage variables, generate outputs, and manipulate various data types
- Use Numpy and Pandas to capture and transform data
- Apply statistical methods for in-depth data exploration
- Visualize data insights with Matplotlib and Seaborn
- Combine all skills to conduct financial data analysis
This Python Fundamentals course is ideal for those looking to develop their programming capabilities and utilize Python for data science to streamline data analysis processes.
Presented by Coursera, this course is perfect for aspiring data analysts, quantitative analysts, and professionals in business intelligence and finance.
Categories: Python Courses, Data Analysis Courses, Data Science Courses, Programming Courses, Matplotlib Courses, NumPy Courses, pandas Courses, Data Visualization Courses, Seaborn Courses.
Syllabus
Taught by
Tags
