Top 6 Data Science Programming Language

Top 6 Data Science Programming Language


If you're planning to start a career in Data Science, the first thing on your to-do list should be to learn and master coding. Data Science is a multidisciplinary field that requires knowledge of mathematics, statistics, programming, machine learning, data visualization, and more. However, the one skill that predominates all the others is the ability to program in a Data Science programming language. This is why the demand for Data Science courses in Dubai is on the rise.

The demand for Data Scientists in the market is skyrocketing. It is predicted that by 2026, data science and analytics would have more than 11 million jobs. However, the one thing that will make you stand out among other aspirants is the mention of your mastery of a programming language on your resume. As a Data Scientist, your daily tasks would involve manipulating, analyzing, and extracting information from data by implementing mathematical and statistical techniques. And needless to say, all these tasks are performed with the help of computers. Therefore, programming skills are essential for these professionals to interact with and send instructions to computers. However, learning a programming language that works on a number of instructions to derive the required output is only possible by joining a good data science course in Dubai.

Enrolling in a data science course in Dubai can provide you with comprehensive knowledge and hands-on experience in various programming languages, including Python, R, and SQL. The courses are designed to equip you with the necessary skills to build predictive models, develop machine learning algorithms, and analyze data effectively.

In short, if you want to pursue a career in Data Science, learning a programming language is a must. It will not only enhance your employability but also help you excel in your field. Therefore, enrolling in a data science course in Dubai is a wise decision that will definitely help you achieve your career goals.

Among a large list of programming languages available in the market, there are only a trusted few that blend with the proposals of Data Science. This article will therefore list the Data Science programming language that promises high productivity and performance to process large amounts of data. 

1. Python

Python is indeed the most reliable and popular programming language, according to both the TIOBE and PYPL indices. As a general-purpose language, it can be used for developing any type of software. Its popularity stems from its simple syntax, code portability, and easy readability. Additionally, it is beginner-friendly since Python is incredibly easy to learn, and there are numerous online resources available. For those who want to master Python, Learners Point Academy offers a Python for Data Science course.

Python is a versatile platform that can be used for various operations, such as data preprocessing, visualization, statistical analysis, and the deployment of machine learning and deep learning models, among others.

Listed below are some of the most used libraries for data science and machine learning purposes:

  • ➤ NumPy
  • ➤ pandas
  • ➤ Matplotlib
  • ➤ Scikit-learn
  • ➤ TensorFlow
  • ➤ Keras

2. SQL (Structured Query Language)


Most of the data is stored in databases. SQL is a declarative language used for interacting with databases to extract information from data sets. Being the most widely used data science programming language worldwide, a working knowledge of SQL is essential to start a career in Data Science. In Data Science, SQL helps in extracting information from datasets to make edits to them when and where necessary. A strong knowledge of SQL will make you competent to work with different relational databases, including popular systems like SQLite, MySQL, and PostgreSQL. To gain expertise in SQL, aspiring Data Scientists can enroll in SQL courses that are designed to impart the necessary knowledge and skills.

3. R 

‘R’ is a statistical data science programming language primarily used for statistical analysis, data visualization, and other forms of data manipulation. Similar to Python, R has a large collection of specialized libraries for data analysis. The Data Science with R course helps candidates master the concepts of the R programming language and teaches them how to implement them in various data science applications.

The popularity of R among Data Scientists is due to its easy and flexible nature when dealing with complex analyses on large datasets. R also offers different machine learning algorithms, such as linear regression, K-nearest neighbor algorithm, random forest, neural networks, etc. These algorithms make it easier for Data Scientists to handle and manipulate data.

4. Julia 

While Julia is a relatively new player in the data science field, it has still managed to gain popularity as a programming language. It is used mainly for data analysis and offers an interactive shell that allows professionals to test their code quickly without writing entire programs at once. Another benefit of Julia is its strong memory capabilities, which make it easier to store and manipulate large-scale datasets.

5. Scala 

Released in 2004, Scala is a multi-paradigmatic language that is popularly used in AI and Data Science. It is often considered a hybrid language because it is statically typed and object-oriented. Additionally, this data science programming language can also run on the Java Virtual Machine, which establishes interoperability with Java. Therefore, Scala is the best choice while working on distributed big data projects. Other factors that make Scala a better choice include its functional programming, concurrency, and high performance.

6. Java

Java is definitely one of the most popular programming languages in Data Science, second only to Python. Ranked 2nd in the PYPL Index and 3rd in the TIOBE Index, Java has consistently maintained its popularity in Data Science. It is a general-purpose computer programming language that is open-source and object-oriented, with a focus on performance and efficiency. Java's ability to run on all platforms that support the Java virtual machine (JVM) or JavaScript engines is commonly referred to as WORA or "write once, run anywhere.

7. C/C++

C/C++ is a data science programming language that is primarily used to develop computer applications. Familiarity with both C and its close relative C++ is important if you wish to apply for computationally intensive data science jobs. It is mostly used while working on applications such as games, web browsers, and operating systems. C/C++ also finds its use while dealing with numerical computations. Both of these programming languages are comparatively faster than others. Therefore, they become the most trusted ones while developing big data and machine learning applications.

In a nutshell, there are more than 250 programming languages in the world today. In this vast sea of programming languages, there are only a few that have managed to reach the shore successfully. The above-mentioned ones, especially Python and R have remained the best choice for Data Scientists for years. The data science course in Dubai brings you closer to the mechanics and theories of these programming languages so that you are able to establish a career in the field successfully. 

Message from the Author

If you’re looking to enroll for the Data Science Foundation Course in Dubai, get in touch with Learners Point Academy. To learn more, visit the website:, give a call at +971 (04) 403 8000, or simply drop a message on WhatsApp.

Learners Point Academy is a KHDA and ISO 9001:2015 accredited training institute in Dubai.

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