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Is Coding Required for Data Science?

  • July 04, 2023
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Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of Innodatatics Pvt Ltd and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 17 years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.

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Is coding required for Data Science

What is Coding?

A programming language called coding is used to create websites, applications, and software. Coding powers most of the technologies we use every day, including Facebook, Instagram, and the browsers we use.

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How Coding Works?

Computers don't understand words. They only understand coding as it is their language. Code tells your computer what to do. The computer understands only off and on switches. These off and on transistors are represented as 1 and 0 digits in binary code.

When an endless number of binary codes are concatenated, your computer operates. Although the goals of each language vary, they all make it possible for programmers to convert commands into binary code.

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Computer programmes have written codes that they can read and interpret. Millions of characters and numbers are programmed into most software.Computer applications have written codes thorough which they understand what to do. Most software has millions of coded text and numbers.

For proper functioning, codes give step by step guide to computers. Computers' speed depends on how fast they read codes to execute every task, either online or offline. In today's advanced world, everything from smart TVs, cars, and mobile phones use coded software.

Coding Languages to Learn

Programming languages come in hundreds of variations thanks to computer professionals. Every language has a special ability that makes it easier for computers to process enormous amounts of data. Each language has its own terminology and characteristics.

Only a few dozen programming languages are utilised on a regular basis. These include Swift, Objective-C, JavaScript, Perl, Ruby, and Perl, among others. Let's examine a few popular coding languages.There are only dozens of programming languages that are used in daily work. These include Ruby, Perl, JavaScript, Visual Basic, swift and objective -C, etc. Let's have a look at some major coding languages.

  • It can sometimes be difficult for you to choose the best option from a variety of choices available.
  • Html
  • Python
  • Java
  • CSS
  • C Language
  • C++
  • PHP
  • SQL
  • R
  • Julia
  • Scala
  • MATLAB
  • TensorFlow
  • Swift
  • SAS

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  • HTML

    The Hypertext Markup Language is used to standardise the coding of web pages that display electronic data. Formatting for images, text, and videos is done using it. HTML instructs browsers on how to display webpages. Tim Berners-Lee founded it in the year 1990.The Hypertext Markup Language is used to code web pages in a standard way to showcase electronic information. It is used to format pictures, content, and videos. HTML tells the browser how to show websites. It was founded in 1990 by Tim Berners-Lee.

  • Python

    Python is a language used for software development, and the server-side web was started in 1991 by Guido Van Rossum. Python has simple user interfaces and operating systems. Many platforms use python like Google, Integrated Planning System, and NASA.

  • Java

    Java was developed as an object-oriented coding language by Sun Microsystems in 1995. It features small applets for webpages and English-based instructions for a single machine. Android systems use Java to programme video games and mobile applications.In 1995, Sun Microsystems created Java as an object-oriented coding language. It has English-based commands for a single computer and tiny applets for websites. Java is famous for programming video games and mobile apps on android systems.

  • CSS

    Cascading style sheets is a coding language developed in 1994 by Hakon Wium to specify a website's style. It tells the browser's background color, cursor shape, font size, and page layout. CSS gives websites aesthetic appeal.

  • C Language

    Bell Labs began using it to create UNIX systems in 1972. It is a straightforward low-level coding style. With only 32 fundamental keywords for network drivers, AI, and embedded system scripting, it is the simplest language.

  • C++

    This is another object-oriented programming language released by Bjarne Stroustrup in 1983. C++ is expanded from C to do higher-level computer work. It organizes information in the form of bundles for complex programs. Microsoft, Mozilla software, Amazon, and Adobe use C++ for processing faster.

  • PHP

    In 1994, RasmusLerdorf invented a hypertext processor that is now used to create the internet. Together with HTML, it is used to create dynamic website content. WordPress-like scripts written in PHP make about 20% of websites.

  • SQL

    The Structured Query Language was introduced in 1974 by IBM Researchers. It has been used for storing data for decades and also for editing the information stored in the database.

  • R

    For statistical computations and graphics, R is a programme. The most popular and in-demand tool for recruiters is this one.

  • Julia

    It is used to compute high-level numerical analysis. This language is gaining popularity among data Scientists. It is capable of general programming and was introduced after Python and R.

  • Scala

    With the most users, Scala is regarded as the finest language. It is a general-purpose, open-source programming language that uses the JVM. It is an excellent option for handling large data collections.

  • MATLAB

    It is licensed and developed by math work and is used in statistical analysis. It is a stable and quick computing programming language that deals with mathematical needs.

  • TensorFlow

    It is a collection of open-source tools for numerical computation. It utilises fundamental ideas and is appropriate for massive amounts of data.

  • Swift

    It is close to C and is a fast programming language. Its syntax is readable and straightforward, like Python. But it is a more stable, secure, and efficient programming language than Python. FastAl, Apple, and Google support this language.

  • SAS

    Statistical analysis is done using this language. It pulls information from databases and spreadsheets and displays the outcomes as graphs.

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Can you be a Data Scientist Without Coding?

No, a person without the knowledge of coding can't be a data scientist because some important skills are required in data science. Coding is one of them. There are many programming languages, but some are of common use in data science.

Python, SQL, R, SAS, and Java knowledge are required. A data scientist has to be able to develop code for machine learning, statistical computing, and arithmetic. Since all work in data science is computer-based, it is impossible to use a computer effectively without being familiar with its language.

A data scientist has to be proficient in coding in order to use computer languages to organise unstructured data. Different programming languages and visualisation applications are utilised to provide effective communication and visualisation. Almost every stage of the data science process involves coding.

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Activities carried out in a Data Science Project

Different activities are required to complete any data science project. Without these steps, it is impossible to finish the project.

  • Discovery
  • Data preparation
  • Model planning
  • Model building
  • Communicating results
  • Operationalizing

In these six stages, steps 2, 3, and 4 call for code. Coding is utilised to carry out analytics during the production of data. The team transforms the data so that they can work with it and analyse it. When developing a model, coding programmes like R or Python examine the data to determine the correlation between important variables and other factors. Finally, a database is created using code for training, production, and testing reasons throughout the model building phase.

Conclusion

As a result, the data science business needs individuals with good coding abilities. To find patterns in massive amounts of data, data scientists utilise artificial intelligence and machine learning algorithms. The human eye could not pick up relevant information without programming. Therefore, having coding skills increases a data scientist's adaptability and competency. You may enrol in data science courses in Bangalore to improve your data science abilities. They provide the top courses available in India to help you develop your talents.

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