What you'll learn
- Use Python for Data Science and Machine Learning
- Learn to use Pandas for Data Analysis
- Learn to use NumPy for Numerical Data
- Learn to use Seaborn for statistical plots
- Learn to use Matplotlib for Python Plotting
- You will learn how to use Jupyter Notebook for exploratory computations using python.
- You will learn basic and advanced features in NumPy (Numerical Python)
- You will learn various data analysis tools in Pandas library.
- You will learn the essential tools for load, clean, transform, merge, and reshape data.
- You will learn how to create informative visualizations with matplotlib, seaborn and Pandas
- You will learn how to analyze and manipulate time series data.
- You will learn how to handle real world data analysis, including data preparation and exploration.
Requirements
- It is advantageous to have basic python knowledge, but it is not required to understand the material in this course. However, people with no previous basic knowledge of python need to focus first on module 2, 3, 4, and 5, that would be enough to comprehend the rest material in this course.
Who this course is for:
- I designed this course to be valuable for people who are interested in data science and data analysis with python.
- If you want to learn data science with python, this course will be a valuable starting point.
- This course is for you if your intention is to learn how to use Python’s data science tools and libraries such as Jupyter notebook, NumPy, Pandas, Matplotlib, Seaborn, and related tools to effectively store, manipulate, and gain insight from data.
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