Scientific Python: Data Science Visualization Bundle 18 Hrs! [FREE]

January 26, 2022

Free Certification Course Title: Scientific Python: Data Science Visualization Bundle 18 Hrs!

Scientific Python Masterclass Complete with REGEX, NumPy, Scipy, Matplotlib, Scikit-learn, Seaborn and Pandas – 18 Hours

What you’ll learn:

Python – Bootcamp
SciPy – Scientific Python Software Stack
NumPy – Numerical Array Processing
Matplotlib – 2D Plotting and Visualization
Pandas – Data Frames & CSV Files
Scikit Learn – Python Machine Learning
Seaborn – Statistical Plotting
REGEX – Python RE (Regula Expressions)
PyTorch – Python Tensor Flow
Python – Data Mining Pipeline

Requirements:

Experience using Python is not necessary, because an easy to understand “Python Bootcamp Tutorial” is included!

Who this course is for:

Anyone with any background that interested in Data Science and Machine Learning
Who wants to perform computational computing with Python
Students who want to learn Scientific Python to improve their career prospects

In this awesome 18 hours long course we will cover:

SciPy is a free and open-source Python library used for scientific computing and technical computing. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering. The SciPy library is currently distributed under the BSD license, and its development is sponsored and supported by an open community of developers.
NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Most of the Matplotlib utilities lies under the pyplot submodule, and are usually imported under the plt alias.
Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license.
Scikit-learn: Simple and efficient tools for predictive data analysis · Accessible to everybody, and reusable in various contexts · Built on NumPy, SciPy, and matplotlib.
Seaborn: Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
Python REGEX Regular expressions (called REs, or regexes, or regex patterns) are essentially a tiny, highly specialized programming language embedded inside Python and made available through the re module.
All data sets included!