Udemy – Complete Python Data Science, Deep Learning, R Programming

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Python Data Science A-Z, Data Science with Machine Learning A-Z, Deep Learning A-Z, Pandas, Numpy and R Statistics

Welcome to Complete Python Data Science, Deep Learning, R Programming course.

Python Data Science A-Z, Data Science with Machine Learning A-Z, Deep Learning A-Z, Pandas, Numpy and R Statistics

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Data Science A-Z, Python Data Science with Machine Learning, Deep Learning, Pandas, Numpy, Data visualization, and R

Ready for the Data Science career?

Are you curious about Data Science and looking to start your self-learning journey into the world of data?

Are you an experienced developer looking for a landing in Data Science!

In both cases, you are at the right place!

The two most popular programming tools for data science work are Python and R at the moment. It is hard to pick one out of those two amazingly flexible data analytics languages. Both are free and open-source.

Train up with a top-rated data science course on Udemy. Gain in-demand skills and help organizations forecast product and service demands for the future. From machine learning to data mining to data analysis, we’ve got a data science course to help you progress on your career path.

R for statistical analysis and Python as a general-purpose programming language. For anyone interested in machine learning, working with large datasets, or creating complex data visualizations, they are absolutely essential.

With my full-stack Data Science course, you will be able to learn R and Python together.

If you have some programming experience, Python might be the language for you. R was built as a statistical language, it suits much better to do statistical learning with R programming.

But do not worry! In this course, you will have a chance to learn both and will decide which one fits your niche!

Throughout the course’s first part, you will learn the most important tools in R that will allow you to do data science. By using the tools, you will be easily handling big data, manipulating it, and producing meaningful outcomes.

Throughout the course’s second part, we will teach you how to use Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Python for Data Science course.

We will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful libraries such as Numpy, Pandas, and Matplotlib step by step. Then, we will transform and manipulate real data. For the manipulation, we will use the tidyverse package, which involves dplyr and other necessary packages.

At the end of the course, you will be able to select columns, filter rows, arrange the order, create new variables, group by and summarize your data simultaneously.

Because data can mean an endless number of things, it’s important to choose the right visualization tools for the job. Whether you’re interested in learning Tableau, D3.js, After Effects, or Python, Udemy has a course for you.

In this course, we will learn what is data visualization and how does it work with python.

This course has suitable for everybody who is interested data visualization concept.

First of all, in this course, we will learn some fundamentals of pyhton, and object oriented programming ( OOP ). These are our first steps in our Data Visualisation journey. After then we take a our journey to Data Science world. Here we will take a look data literacy and data science concept. Then we will arrive at our next stop. Numpy library. Here we learn the what is numpy and how we can use it. After then we arrive at our next stop. Pandas library. And now our journey becomes an adventure. In this adventure we’ll enter the Matplotlib world then we exit the Seaborn world. Then we’ll try to understand how we can visualize our data, data viz. But our journey won’t be over. Then we will arrive our final destination. Geographical drawing or best known as Geoplotlib in tableau data visualization.

Learn python and how to use it to python data analysis and visualization, present data. Includes tons of code data vizualisation.

In this course, you will learn data analysis and visualization in detail.

RAPIDGATOR

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