Udemy - Data Science with R and Python

What you'll learn:
R and Python in the same course. You decide which one you would go for!
R was built as a statistical language, it suits much better to do statistical learning and R is a statistical programming software favoured by many academia
If you have some programming experience, Python might be the language for you
Since R was built as a statistical language, it suits much better to do statistical learning. It represents the way statisticians think pretty well, so anyone with a formal statistics background can use R easily. Python, on the other hand, is a better choice for machine learning with its flexibility for production use, especially when the data analysis tasks need to be integrated with web applications. If you enroll this course you will have a chance to learn both
You will learn R and Python from scratch
Learn Fundamentals of Python for effectively using Data Science
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
Numpy arrays
Series and Features
Combining Dataframes, Data Munging and how to deal with Missing Data
How to use MatDescriptionlib 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
Select columns and filter rows
Arrange the order and create new variables
Create, subset, convert or change any element within a vector or data frame
Transform and manipulate an existing and real data
Requirements
No prior knowledge is required
Free software and tools used during the course
Basic computer knowledge
Desire to learn data science
Nothing else! It's just you, your computer and your ambition to get started today
Description
Welcome to Full Stack Data Science R and Python with Hands-on Projects course.
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.
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 to 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, manipulate it, and produce meaningful outcomes.
Throughout the course's second part, we will teach you how to use the 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 MatDescriptionlib 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.
In this course you will learn;
How to use Anaconda and Jupyter notebook,
Fundamentals of Python such as
Datatypes in Python,
Lots of datatype operators, methods and how to use them,
Conditional concept, if statements
The logic of Loops and control statements
Functions and how to use them
How to use modules and create your own modules
Data science and Data literacy concepts
Fundamentals of Numpy for Data manipulation such as
Numpy arrays and their features
How to do indexing and slicing on Arrays
Lots of stuff about Pandas for data manipulation such as
Pandas series and their features
Dataframes and their features
Hierarchical indexing concept and theory
Groupby operations
The logic of Data Munging
How to deal effectively with missing data effectively
Combining the Data Frames
How to work with Dataset files
And also you will learn fundamentals thing about MatDescriptionlib library such as
PyDescription, Pylab and MatDescriptionlb concepts
What Figure, SubDescription and Axes are
How to do figure and Description customization
Examining and Managing Data Structures in R
Atomic vectors
Lists
Arrays
Matrices
Data frames
Tibbles
Factors
Data Transformation in R
Transform and manipulate a deal data
Tidyverse and more
And we will do many exercises. Finally, we will also have 4 different final projects covering all of Python subjects.
Why would you want to take this course?
Our answer is simple: The quality of teaching.
When you enroll, you will feel the OAK Academy's seasoned instructors' expertise.
Fresh Content
It's no secret how technology is advancing at a rapid rate and it's crucial to stay on top of the latest knowledge. With this course, you will always have a chance to follow the latest data science trends.
Video and Audio Production Quality
All our content is created/produced as high-quality video/audio to provide you the best learning experience.
You will be,
Seeing clearly
Hearing clearly
Moving through the course without distractions
You'll also get:
Lifetime Access to The Course
Fast & Friendly Support in the Q&A section
Udemy Certificate of Completion Ready for Download
Dive in now!
We offer full support, answering any questions.
See you in the course!
Who this course is for
Anyone interested in data sciences
Anyone who plans a career in data scientist,
Software developer whom want to learn data science,
Anyone eager to learn Data Science with no coding background
Statisticians, academic researchers, economists, analysts and business people
Professionals working in analytics or related fields
Anyone who is particularly interested in big data, machine learning and data intelligence
Homepage
https://www.udemy.com/course/full-stack-data-science-r-and-python/

Udemy - Data Science with R and Python Fast Download
Udemy - Data Science with R and Python Full Download