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All you need to know about Data Science and courses related to it

What is the need for Data Science?

With the many upcoming opportunities in various streams and fields, the importance of Data Science kept on increasing. In the present scenario, Data Science has been the hottest buzzword as well as the career option that more and more people prefer. Data Science is the reason why we’re able to use our devices to get the required information. For example, we easily get articles on topics we search for by various search engines. We also use many applications that use the internet or a variety of functions. All these actions require programs that are coded in such a way that they perform the given specific tasks efficiently and without much problem. 

Nowadays, most data is generated over financial logs, text files, sensors, multimedia forms or instruments. They provide an output in the form of Big Data which is not structured but contains many valuable pieces of information in it. Thus, data science is needed here for analyzing, processing and drawing meaningful inferences from the given complicated and unstructured data. 

Data Science helps us with driving smartly, weather forecasting and brand companies in many ways. For smart driving, Data Science has generated self-driving cars that use sensors, radars and cameras as well as lasers which help in getting the road view and also the obstacles if present. With the help of Data Science, the brands or companies are able to be aware of the preferences and needs of the customers. They provide their products accordingly and this adds up to the value of their company. 

Business intelligence is a subcategory of what Data Science has as a whole.  Data analytics is also a part of data science, but all these terms vary and have their own specific functionality and tasks to be performed.

 Courses available for Data Science and its value in the present era of technologies: -

Nowadays, there are a lot of people who are interested in IT professions to become a data scientist. There are many courses online as well as offline which serves the type of interest. Data scientists basically graduate from technical schools and have good knowledge of computer-related problems or issues. It has become easier to take courses online and study the topics that are covered in virtual classrooms. You can clear your doubts online in those virtual classrooms and also ask questions related to the topic. They teach you what Data Science is about and what it consists of. They provide good knowledge of algorithms and many other programming languages such as Python, Java and many more. You also gain some practice that will get your basics cleared. They teach about data and information visualization, data communication, data analysis with machine learning and statistics, etc.  

You need curious humor that helps you to gain knowledge on a larger scale. The organization is an opportunity that suits best for such professions as it helps you to work more efficiently.  It aims to enhance your creativity level and work performance by knowing more about the computer or having program-based knowledge.

Candidates who’re really into such a profession should try to apply for various courses that are available online. With the completion of the data science training, these courses provide certificates that hold good value and act as proof that you’ve knowledge of how to use your skills in data science everywhere.

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WHAT IS R AND ADVANTAGES OF R?

WHAT IS R? 

R programming language was developed by Robert Gentleman and Ross Ihaka in the year 1993. R programming language has libraries that are suitable for statistical and analytical programming. The libraries of R language are written in the R programming language itself. Those libraries which would be used for heavy and complex computational tasks are written in Fortran, C and C++ programming languages. R programming language has appropriate libraries such that it can be used for linear regression, statistical inference, machine learning, time series, etc.

However, not all people may have heard about the R programming language. At present, the R language is being used by many big organizations. For example; Uber, Airbnb, Google, Facebook, etc.

WHY DATA SCIENCE USES R? 

Data science is one of the trending technologies of the market at present. This technology mostly works on Python as well as on the R programming language. This is so because both these languages are capable of processing statistical and analytical data easily. In data science technology, the data is mainly stored in the statistical or we can say visual form. The data is processed in this form only. That is why these languages are used.

In the R programming language, data analysis is done in the following manner--> 

Program

Transform

Discover

Model

Communicate

Mainly, the R programming language is used for the following three tasks--> 

Algorithms for machine learning

Statistical inference

Data analysis

WHERE R IS BEING USED? 

R programming language is being used in almost all areas of the industry. According to a survey, the use of R programming language domain wise is listed below in decreasing order--> 

Academic

Healthcare

Government

Consulting

Insurance

Energy

Finance

Retail

Media

Manufacturing

Tech

Electronics

ADVANTAGES OF THE R LANGUAGE 

Here are some advantages of the R programming language. They are listed below--> 

R is an open-source programming language. This means that anyone can change the code of the R programming language. The code of the R language is openly shared with everyone.  

R language has appropriate libraries like readr, dplyr, etc. which can be used for transforming the complex data into a well-organized structured form.

The R language has a huge number of libraries. It has more than ten thousand packages.

The R language provides facilities for graphical plotting in high quality. Libraries used here are plotly, ggplot2, etc.

R programming language is a platform-independent language. This means the code of the R language can be run on any system. It would run on all the operating systems.

R language provides many facilities for making algorithms of machine learning. For example, regression, classification, etc. Along with this, the R language also supports artificial neural networks.

DISADVANTAGES OF THE R LANGUAGE

Here are some disadvantages of the R programming language. They are listed below--> 

The origin of the R programming language is the S language. This means that the R language does not support 3D graphics.

Basic security of the R language is quite less.

CONCLUSION 

R language is being used everywhere in the industry. Students should learn the R programming language while getting Data science training.

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360digitmg Provides in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, MapReduce, and YARN and Basics of Linux OS. Learn about Spark SQL and learn about machine learning algorithms to be executed using PySpark and SparkR. The duration of the course was 24 hours.

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360digitmg provides the best Data Analytics training is driven using both Python as well as R programming. The wide variety of modules covered as part of the data analytics certification training program course duration was 24 hours.

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360digitmg providing data science course which gives all the knowledge about key techniques such as Statistical Analysis,  most widely used Regression Analysis, Data Mining Unsupervised learning techniques, Machine Learning, Forecasting, Text Mining and many more. Live project opportunity to engage and explore Data Science Learning with USA based Analytics Consulting firm. The duration of the course was 48 hours.

[likhitha360-blog]

360digitmg provides the best Data Analytics training that is driven using both Python as well as R programming. The wide variety of modules covered as part of the data analytics certification training program course duration was 24 hours.

[likhitha360-blog]

360digitmg providing data science course which gives all the knowledge about key techniques such as Statistical Analysis,  most widely used Regression Analysis, Data Mining Unsupervised learning techniques, Machine Learning, Forecasting, Text Mining and many more. Live project opportunity to engage and explore Data Science Learning with USA based Analytics Consulting firm.The duration of the course was 48 hours.

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360digitmg whereabouts for the learner to absorb worthy knowledge about Data Science course with different methodologies and modules.data science is 6 days program and its duration is 48 hours.360digitmg  also provides techniques using data science tools in the industry like- R and Python.

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Excelr providing data science course which gives all the knowledge about key techniques such as Statistical Analysis,  most widely used Regression Analysis, Data Mining Unsupervised learning techniques, Machine Learning, Forecasting, Text Mining and many more. Live project opportunity to engage and explore Data Science Learning with USA based Analytics Consulting firm.Duration of the course was 48 hours.

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RPA (Robotic Process Automation) is a program with a duration of 24 hours. The Certification course is open to anyone wanting to solve repetitive human-desktop interactions for process-based industries.

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Iot has 3 days of the program, it has 24 hours of duration. iot has Focusing on data capture, storage and data analytics, embedded electronics and client-server architecture, the course guides students to be adept at carving practical applications for modern day industries.

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ExcelR provides the students access to e-learning for 3 months, 600 simulated PMP® mock examinations, knowledge area wise mock tests, 35 contact hours certificate and free online training in MS Project Professional among other add-on services.The duration of the course was 35 hours.

[likhitha360-blog]

Excelr Provides in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, MapReduce, and YARN and Basics of Linux OS. Learn about Spark SQL and learn about machine learning algorithms to be executed using PySpark and SparkR. The duration of the course was 24 hours.

[likhitha360-blog]

RPA (Robotic Process Automation) is a program with a duration of 24 hours. The Certification course is open to anyone wanting to solve repetitive human-desktop interactions for process-based industries.