Most of the executive programs in data science are not technical but business-oriented, know more about such programs
Big data is transforming the way business executives make business decisions. This is why today, the use of data science applications is proliferating in industries viz., financial services, healthcare, retail, e-commerce, media, manufacturing, and customer service industry. This resulted in department and company leaders looking out to seek expertise and training on ways to mine and analyze data by leveraging statistical and quantitative machine learning models so as to be able to make data-driven business decisions.
For any executive course, one is generally expected to have either a Master’s degree in a related field, especially the ones inclined to computer science or mathematics, along with some work experience. However, there is often some flexibility around these precise requirements. Or one can simply qualify for executive courses just by gaining extensive work experience in the field. Interest candidates need to register on the preferred institute’s website and then they are required to clear the selection process which is either a written test or an interview or both. Also, the written test can be a common entrance exam or institute-organized entry test.
Studying data science and big data practices on the executive level offers one a higher and unique weightage when compared with other employers. It empowers them to propel improvements within their organizations, focuses on areas of specialization within their professional field, and broadens their knowledge and expertise to enhance their career curve.
Most of the executive programs are not technical but business-oriented. In fact, there are MBA courses that do not require specializations in AI either, yet have high value in terms of educational qualification. In reality, most of the executive-level courses focus on practical business applications of data and machine learning. Hence, these courses are designed to give C-Suite level executives a comprehensive understanding of the basics of how data science operates and what it can accomplish. Some courses are aimed to provide an overview of what kind of data companies are dealing with, how to process it, and how to create interventions based on those insights from a business perspective.
Most of these programs teach about
- Foundation in Statistics using R, business and management concepts,
- Analytical techniques using R, Python, SAS,
- Tableau and Power BI for Data Visualization
- Big Data concepts using Hadoop, HDFS, Pig, Hive, Sqoop, Flume, Spark, and Storm
- Advanced data wrangling, data mining, statistical modeling, and machine learning applications on datasets
Some may include basics about ANOVA, regression analytics, logistic regression, decision trees, cluster analysis, neural networks. They also include capstone projects and hands-on knowledge from case studies across BFSI, retail, telecom, supply chain, HR, and other industries. Furthermore, some courses offer the chance to study while pursuing careers with flexible part-time and online options. In the case of eLearning-based executive programs, the study material is delivered Direct-to-Device (D2D) on the student’s device of choice while the classes are held online. With the shortage of skilled personnel, it is the right time to sign up for a course now.
