Learn data science with R & Python with all in one course. You'll learn NumPy, Pandas and more

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 Mug 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

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

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

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 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.

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 Mug

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 Matplotlib library such as

Pyplot, Pylab and Matplotlb concepts

What Figure, Subplot and Axes are

How to do figure and plot 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:

Life Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for

Dive in now!

We offer full support, answering any questions.

See you in the course!

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, acad 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



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