Data science is the most emerging trend in the tech world today. Data and its importance have been a topic of discussion over the past few years now. Businesses need to analyze vast amounts of data, commonly known as Big Data, to flourish in the competitive world. Data science is the discipline that deals with massive datasets to derive meaningful insights and hidden patterns that will help businesses make improved decisions. Data Science training courses will enable you to master concepts such as Machine Learning algorithms, data visualization, predictive modeling, data manipulation, web scraping, and so on. So, how is this innovative science advantageous for businesses? Read on!
- Fraud detection and risk mitigation: This discipline is utilized by banking and financial institutions to detect fraudulent and suspicious activities. Professionals identify data that is placed differently using complex algorithms and guide companies to formulate timely and proper responses.
- Personalized customer service: This domain is used by the sales and marketing teams of various organizations to understand a user at the most rudimentary level. This is a conducive factor for businesses as it promises users better customer service. By tracking and comprehending the user’s past activity on your application, companies will provide an enhanced and personalized experience to their consumers.
- Production of relevant products: Another advantage of this technology is that businesses can identify what products sell the best where and when. This will encourage companies to deliver relevant products to users and develop new products according to customer requirements.
Python is the most widely used Data Science programming language around the globe. However, let us look at the five popular languages associated with this robust discipline.
Python is an open-source high-level programming language that was launched in the year 1991. The syntax of this language is straightforward and readable and is preferred by almost all professionals in this field to be applied in the development of numerous applications. Features that make Python stand out in this field are its flexibility and the availability of comprehensive libraries. Modules like NumPy, SciPy, and frameworks such as Django and Flask are used to perform data mining activities and create web services.
R has also turned into a favorite programming language of many professionals in this field. It offers a wide range of libraries for Data Science; the RStudio tool and numerous R packages are used to perform varied tasks like data manipulation, data visualization, model building, and so on. A few of the famous R libraries are Dplyr, ggplot2, Esquisse, MLR, etc.
Many of the popular frameworks related to Big Data, such as Fink, Hadoop, Hive, and Spark, are all developed in Java. This language can also be used in various operations related to Data Science like data scrubbing, data import and export, deep learning, statistical analysis, Natural Language Processing (NLP), and data visualization, etc. Java is a fast, secure, and flexible language that is remarkably helpful in building enterprise applications and a good investment for big companies.
Scala is another one of the popular programming languages that was developed recently in the year 2003. It runs on a Java Virtual Machine (JVM) and is the best choice when working with extensive datasets. In addition, Apache Spark, a popular cluster-computing framework, is built using Scala and is therefore apt for Data Science tasks.
So, if you are looking for a platform to build a stable Data Science career, then SynergisticIT is the right place for you. Design an attractive portfolio with the assistance of experienced mentors to land lucrative career opportunities in the most reputable and distinguished organizations!