Udemy – Full Stack Data Science with Python, Numpy and R Programming


Learn R programming without any programming or data science experience,If you are with a computer science or software development background you might feel more comfortable using Python for data science,In this course you will learn R programming, Python and Numpy from the beginning,Learn Fundamentals of Python for effectively using Data Science,Fundamentals of Numpy Library and a little bit more,Data Manipulation,Learn how to handle with big data,Learn how to manipulate the data,Learn how to produce meaningful outcomes,Learn Fundamentals of Python for effectively using Data Science,Learn Fundamentals of Python for effectively using Numpy Library,Numpy arrays,Numpy functions,Linear Algebra,Combining Dataframes, Data Munging and how to deal with Missing Data,How to use Matplotlib library and start to journey in Data Visualization,Also, why you should learn Python and Pandas Library,Learn Data Science with Python,Examine and manage data structures,Handle wide variety of data science challenges,Create, subset, convert or change any element within a vector or data frame,Most importantly you will learn the Mathematics beyond the Neural Network,The most important aspect of Numpy arrays is that they are optimized for speed. 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.,You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms,Use the “tidyverse” package, which involves “dplyr”, and other necessary data analysis package