100% Off Udemy Course Coupon Code NumPy For Data Science and Machine Learning Course Free: NumPy For Data Science And Machine Learning’ course. This forms the basis for everything else. Udemy free online courses with certificates. The central object in Numpy is the Numpy array, on which you can do various operations. We know that the matrix and arrays play an important role in numerical computation and data analysis. Pandas and other ML or AI tools need tabular or array-like data to work efficiently, so using NumPy in Pandas and ML packages can reduce the time and improve the performance of the data computation.
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NumPy based arrays are 10 to 100 times (even more than 100 times) faster than the Python Lists, hence if you are planning to work as a Data Analyst or Data Scientist or Big Data Engineer with Python, then you must be familiar with the NumPy as it offers a more convenient way to work with Matrix-like objects like Nd arrays. And also we are going to do a demo where we prove that using a Numpy vectorized operation is faster than normal Python lists.
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Learn About:
- NumPy Basics and Nd-array creation
- Numerical Computation Using Python
- Data Analysis and Extraction
- Difference between dot product and matrix multiplication
NumPy basics - How to work with Jupyter notebook as a Data Analyst beginner
- Python style coding
- What is Numerical analysis of Data?
Requirements:
- Python Basics, but not necessary.
- Anaconda Installation to work with the NumPy and Python
- Willing to learn data analysis, data science, or numerical computation for program
- Knowledge about Excel tables or Tabular data
- Able To Perform Matrix Computation
