Share Description
In this course, you will :
- This course provides a thorough introduction to statistical analysis using Python. You'll begin with a step-by-step tutorial on the fundamentals of Python programming.
- Learn how to use these functions with numerical data. Strings, lists, dictionaries, loops, functions, and data maps will be covered first. After you've mastered these, you'll dive into various Python libraries such as pandas, NumPy, Matplotlib, Seaborn, and Plotly.
- You'll finish with guided projects that use these libraries to clean, analyse, and visualise unique datasets.
- You will be proficient in data science, including data management, analysis, and visualisation, by the end of this course.
Syllabus :
- Python Essentials
- NumPy: Data Analysis
- Pandas: Data Analysis
- Matplotlib: Data Visualization
- Seaborn: Statistical Data Visualization
- Pandas: Data Visualization
- Plotly: Interactive Data Visualization
- Project 1: Oil vs Banks During Recession
- Project 2: Emergency Calls Dataset
