R vs Python for Data Science Which One Is Better

What profession has received the name from Harvard university called the ‘,Job of the 21st Century?

That is indeed right, the data scientist!

It is an area in which computational techniques, procedures, algorithms and systems are used to derive knowledge and observations from various structural and unstructured data in order to effectively process data in order to extract the required information. Since virtually any area is focused on a certain collection of dispersed data, it is one of the most significant tasks today.

Characteristics of data science courses

• Data science is related to data mining and machine learning.

• Data science works on structural and unstructured data for effective processing of data to extract necessary information from it.

• Data science uses techniques and theories from many fields such as mathematics,

Statistics, computer science, domain knowledge and information science.

Here's the brief list of popular courses in data science, such as - Estimation (predicting input value), Identification (e.g. spam or not spam), Guidance,Pattern detection and grouping such as classification without known classes, Anomaly detection including fraud detection, Recognition of image, text, audio, video, facial, and many more, Actionable insights via dashboards, reports, visualizations, Automated processes and decision-making such as credit card approval, Scoring and ranking such as FICO score, Segmentation such as demographic-based marketing, Optimization including risk management, Forecasts such as sales and revenue.

Data science is marked as the highest paying job in the year 2016; this field has witnessed an immense growth in recent years. The employers are in the search of data scientists more than ever. A report indicated a 29% increment in the demand of data scientists in a year.

To learn data science courses you can check out various options available today. Among many R and Python are the two. Well I know that you are confused which one to choose between R and python. Let me help you get you data for both your choice and help you take a wise decision.

R programming language

R is a programming language used widely for data analysis and statistical computing in the world. It was developed in the early 90s. The Academics and statisticians have developed R. it is now one of the richest ecosystems to perform data analysis in the world of data science. There are around 12K packages available in CRAN which is an open-source repository. You have a library for whatever the analysis you want to perform. This rich variety of libraries offered by R makes R the first choice for statistical analysis and gives it immense popularity especially for specialized analytical work.

Why learn R programming language?

I don’t know if I have a vivid reason to convince you, but let me share my story with R language. I have no prior coding experience and I do not know basic computer science as well. I came to know that to start learning data science, one must learn either R or Python. I chose the former. Here are some benefits of using R:

• The style of coding is quite easy to learn.

• It is open source software. There is no need to pay any subscription charges for first time users.

• You get instant availability of instant access to over 7800 packages customized for various computation tasks which are given for free.

• The community support is overwhelming, you will not feel lonely as a learner and there are numerous forums for help.

• You will Get high performance computing experience (require packages) with R programming.

• One of highly sought skill by analytics and data science companies.

Top 3 best R programming course online

Best online data science courses

1. R Basics – R Programming Language Introduction

• Platform for Pursue Course On - Udemy.

This is a beginner’s level course. It is a data science certification course and you will receive a certificate after successful completion of the course. The R programming online course, where you will learn about the basic structure of R language including packages- navigate in the R Studio interface, make basic graphs, perform basic commands in the R programming language, as well as how to handle packages, and how to use R help tools, and more.

2. Learn R for Business Analytics from Basics

• Platform to Pursue Course On - Udemy.

This is a good combination of subjects. The course gives a brief of business Analytics and also helps gain insights on the implementation of those skills on the R platform. It is a data science certification course and you will receive a certificate after successful completion of the course.

You will learn the following-

• To do all the empirical tasks necessary from scratch to build a 'Losses predictive models in R'.

• R can be leveraged in business analytics.

• To install significant packages into R,

• To grasp distribution of data, conduct bivariate evaluation and plot maps in R,

• · Run regression and correlation analysis in R,

• Analyze the conclusions of the model, and much more.

3. R Programming

Available on Coursera

This course is offered by Johns Hopkins University. It is a data science certification course which provides the best programming experience.

In this course you will learn the following-

• To program in R and how to use R for effective data analysis.

• Installing and configuring software that is essential to a statistical programming environment and explaining the principles of generic computer language as they are applied in a statistical high-level context.

• In statistical computation, which involves easily solved software in R, you will have functional problems.

• You will learn Reading data into R

• You will get accessing R packages and writing R functions,

• In statistical data analysis, you can learn how to debug, profile R code, and arrange and comment on R code. Working samples will also be provided.It is the best data science certification online course.

Where do R programming experts work?

R programming experts work in a variety of fields. Including various sub-departments of the information practice department of many companies, freelancing, etc. Furthermore, after completing an advanced data science online training you can get a good paying job.

Python programming language

Python is an interpreter type of subject. Learning python for data science which is an object-oriented course, It is also a language with complex semantics for high-level programming. Coupled with dynamic typing and dynamic linking, it is high-level built into data structures, which makes it very desirable for many to use Rapid Application Creation as well as for use in the script to link existing components together during data science courses.

Reasons Why You Must Consider Writing Software Applications in Python- learn python for data science.

1) Python is readable and maintainable Code.

2) it is multiple programming paradigms.

3) It is compatible with Major Platforms and Systems

4) It is Robust Standard Library

5) It is Many Open Source Frameworks and Tools

Top 3 Python Data Science Courses

3. Python for Data Science and the Machine Learning

Source is of this course is Udemy.

You can learn when to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and much more in this Python Data Science course. In this course, you can learn how to use Python for Computer Science, Machine Learning & Algorithms Application, Big Data Analysis, NumPy for Computational Data, Data Analysis Pandas, Python Plotting Matplotlib, Predictive Plots Seaborn. You'll also hear about Clustering K-Means, Logistic Regression, Linear Regression, etc.2. Python for everybody specialization.

Source is of this course coursera.

In this python data science course, The fundamentals of the Structured Query Language or SQL and database architecture are well illustrated and better defined by the programming machine basics using Python. You'll grasp the core principles of programming, such as data structures. At the conclusion of this course, you will be able to create your own data storage and processing software.

1. Professional Certificate in Introduction to Python Programming

Source is of this course is EdX.

It is the best data science certification online course. In this course, you’ll learn about: Basic computer science and software development architecture, such as writing code, running it, analysing the results, and revising the results-based code. The usage of the fundamental atoms of programming also variables, mathematical operators, logical operators, and Boolean arithmetic.

Control mechanisms for the creation of conditionals, loops, features, and error handling for complex systems. The key data structures for constructing useful programmes (strings, lists, dictionaries, and modification of files. This is why it is named object-oriented software and computer algorithms for samples of the next major computer scientific subjects. This is one of the popular beaches in python data science.Where do Python programming language experts work?

Python programming experts work in a variety of fields such as ML, AI, Deep Learning, NLP among others.

Therefore it's a good idea to learn python & data science to boost your career.

Difference between python and R programming language.

In respect of the programming language geared against data science, R and Python are top of the line. Learning all of them is the perfect solution of course. R and Python need savings in technology, and there is no such privilege open to anyone. Python with a readable syntax is a general-purpose language. However, R is constructed by economists and encompasses their particular language.

• R is used primarily for mathematical analysis, while Python gives a more general approach to data science.

• R's primary goal is data collection and statistics, while Python's primary goal is deployment and development.

• R users consist mostly of academics and R&D practitioners, while programmers and engineers are primarily Python users.

• R offers flexibility to use open libraries, while Python offers flexibility to create new templates from scratch.

Conclusion

If you are planning to do a data science degree you might have a lot of confusion while choosing among the two - R language and Python Language. It is solely your freewill and choosing any of the above won’t be regret for you. R and Python both can handle huge databases.

By much analytic data the combined research shows that R is the best tool and is adopted by 56% people and the rest prefer using python. It is also noted that 74% of R users are satisfied with the performance of R and rest continues to switch. Also 94% of python users are satisfied with the performance of python but rest continues to switch. Python has more job opportunities as of now as compared to R. But, the difference in the number of jobs is very less. Doing data science online courses can increase your pay.

Here, I have given you yet a confusing mixture of data but I would say that both these programming languages are a boon. So choose what suits you the best and boast your career prospect.