Applied Data Science with R in collaboration with IBM

Data Science is an approach to gain knowledge and deep insights from raw data through the application of statistics, mathematics, and computer science. Statistics is paramount to data science. That’s where R comes into play.

R is an open-source language and environment for statistical analysis and graphics. R is specifically designed for statistical analysis purposes. If you are interested in learning data science then R is for you. Few important things to know about R:

• R is an open-source program, it is both free and customizable. R's open interfaces allow it to work with a variety of different programs and systems. it has a high-quality standard.
• R is a programming language that allows users to explore, model, and visualize data.
• R is a programming language that is used to analyze data. R is a programming language that is used in data science to manage, store, and analyze data. It can be used for statistical modeling and data analysis.

Python and R are both regarded to be quite simple to learn. Python was developed for software development. Python may come more readily to you than R if you have prior familiarity with Java or C++. R, on the other hand, may be a little easier only if you have a strong foundation in statistics.

Generally, Python's easy-to-understand syntax makes it easier to learn. R has a steeper learning curve at first, but it becomes substantially easier as users learn to use its capabilities.

We provide the best Certificate Course On Applied Data Science With R, therefore, you don’t have to think about whether R is hard to learn. Our curriculum and faculty make all the concepts digestible. If you have any questions, contact us, we would be happy to guide you.

We have witnessed how data is revolutionizing the world. Everyone should adapt to new technologies, otherwise, it will result in the fall of that entity. For instance, Nokia failed to innovate.

Applied data science certification opens the door for future opportunities. It not only helps you in your career but also upskills you for the future. Here is the list of a few careers in data science where you can apply data science:

• Data Scientist
• Data Analyst
• Statistician
• Data Engineering
• Machine learning Engineering

Our IBM data science professional certificate will significantly add weight to your resume. It will help you to upskill and make you ready for the future of data science.

For more information on the importance of data science, click here.

R with data science is an approach to extracting knowledge from data using the R programming language. R is a language made purely for statistical analysis. R environment is an integration of objects for data manipulation and data analysis.

R environment includes:

• Data handling and storing
• Many operators for calculations
• A large collection of modules and tools for data analysis
• Tools for graphical analysis

Data science and applied data science are not similar. Although it’s easy to use these words interchangeably. Let’s understand the difference in brief

• Data mining is a focused part of data science
• Data Visualization is an integral element of data science
• Database management is another important aspect of data science that includes data cleaning, data transformation, data manipulation, etc.

• Research for new algorithms
• Research of ways to apply data science into multiple disciplines
• Optimization of predictive modeling to make it more accurate and efficient

R is an open-source programming language and python is too. Both languages are significant in the world of data science. It’s important to know what programming languages will be effective to use in Data Science.

Python is a high-level programming language and it is the most popular programming language. There are a lot of libraries and modules in python. It is used across multiple disciplines :

• Web development
• Designing
• Machine learning and AI
• Finance
• Data Analytics & Visualization
• Game Development, so on

R is also an open-source language like python, However, python is more specific to building statistical models. It depends on your goals and objectives. If you want to build a predictive model, in that case, Python is better. If you want to do data manipulation and exploration, then R would be your best choice.

No, programming is not hard, although, it has a steeper learning curve that means, at first, many people find it difficult to learn to code. However, after learning the basics of coding, they also find it very fun and interesting. Coding and programming are like learning a new language. Since code is a language too.

IBM data science certification course has been designed by faculty from IITs, IBM, and Expert Industry Professionals. Therefore, you can go ahead and add remarkable credentials with these certifications.

For more information on coding, click here

An applied data scientist responsible for researching the application of data science into the different multiples. Not only he needs to find answers to where he can apply data science but also how it can be applied. Data science is the future and its increasing rapidly. According to the Forbes report, we have generated 90% of data in the last two years.

Data is fuel for industries and data science. Let's see the applications of data science:

• Banking
• Business
• Transport
• Healthcare
• Manufacturing
• E-commerce

For more detailed information, click here.

Yes, you can become an applied data scientist with an online course. Data science is easy to learn online since all you need is a computer. Other benefits of the online course include:

• Flexible Scheduling
• Affordability
• Ability to progress in a profession
• Being able to study at your own speed is a valuable skill
• No commute

You’ll learn multiple tools and software with the programming language R. You will learn to make use of the R language to access databases, clean, analyze, and visualize data with R.

Programming and tools covered in this course will be

• NLP
• PERL
• SQL
• Excel
• Python
• MySql

Our IBM data science program curriculum has been designed by faculty from IITs, IBM, and Expert Industry Professionals. Our mission is to provide quality education at an affordable cost with the best counseling sessions and industry interface.

Pathway of learning IBM data science program:

• R for Data science
• SQL and Relational database
• Using R with Database
• Data Visualization with R