Being One Step Ahead with BrandStory Solutions
BrandStory realizes that programming languages drive data science and offer deep expertise in the most in-demand languages, which enable data scientists to do their jobs even better. The following overview lists the most important programming languages in data science and in which one BrandStory is specialized:
Python
The simplicity and flexibility of Python make it the most widely used programming language in the data science world. Our data science team is proficient in Python. It uses libraries such as NumPy and Pandas, as well as packages that can be used for data manipulations and machine learning tasks.
R
R was particularly developed for statistical analysis and data visualization purposes. Therefore, it is common for statisticians. Our experts at BrandStory utilize R's most powerful packages to conduct complex data exploration and statistical modeling.
SQL
SQL is used in relational databases, especially in management and querying. Our team at BrandStory has extensive knowledge of SQL, which aids us in the fast extraction and analysis of vast datasets stored in database systems.
Java
Java is valued for its scalability and performance in large-scale data processing. Our skilled team uses Java to back up frameworks like Hadoop, ensuring efficient data handling for big data applications.
Julia
Julia is increasingly becoming popular for high performance in the areas of numerical computation. BrandStory keeps up with Julia's developments and uses its high speed for its heavy numerical computation-related tasks.
Scala
Scala is widely used for big data processing in parallel with Apache Spark. Our experts are highly skilled in Scala. They use functional programming options to achieve better productivity and the most effective handling of large data sets.
C/C++
Machine learning applications that are performance-critical will leverage both C and C++. BrandStory has an expert team that is proficient in these languages and can provide super high-performance solutions for complex computational jobs.
MATLAB
Amongst all the numerical computing and algorithm-development environments, MATLAB is the most popular. Our data science team uses MATLAB for special applications, providing a very powerful ability to work with data analysis and visualization.
SAS
SAS is an advanced analytics and data management software suite. BrandStory houses SAS experts who provide strong statistical solutions in Healthcare, Finance and several other domains. The Data Science team is equipped with programming languages that help them analyze data, build models, and derive actionable insights in order to weave them into our solutions for our clients.