NumPy and Pandas Masterclass for data analysis and ML - 2023
Learn Python, NumPy and Pandas for Data Manipulation Data Science, Data Analysis and Business Intelligence.
What you'll learn
- You will be able to program in Python professionally
- Be able to use Python for data science and machine learning
- You will be able to use Python for your own work problems or personal projects.
- Importing and creating data frame in python
- Learn everything there is to know about pandas - from absolute scratch!
- Learn Importing and creating data frame in python
- Learn Data cleaning
- Master the essentials of NumPy
- Learn how to explore, transform, aggregate and join NumPy arrays
- Analyze and manipulate dates and times for time intelligence and time-series analysis
- Build powerful, practical skills for modern analytics and business intelligence
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course Description :
- The central object in Numpy is the Numpy array, on which you can do various operations.
- The key is that a Numpy array isn’t just a regular array you’d see in a language like Java or C++, but instead is like a mathematical object like a vector or a matrix.
- That means you can do vector and matrix operations like addition, subtraction, and multiplication.
- The most important aspect of Numpy arrays is that they are optimized for speed. So we’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.
- Then we’ll look at some more complicated matrix operations, like products, inverses, determinants, and solving linear systems.