Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
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English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
The process or technique of optimization is used to identify the most effective solution. Following the requirement, it may have a minimum or maximum value. Statistical and Optimization Techniques for Data Science online certification is created by Jain University and delivered by Online Jain for individuals who are looking for an extended training program that could assist them in mastering the knowledge of the methodologies associated with optimization techniques and statistical techniques for data science operations.
Statistical and Optimization Techniques for Data Science online classes is a 3-month training program that aims to provide individuals with a thorough understanding of statistical and operations research techniques and their applications in streamlining business procedures and enhancing their capacity for decision-making. With Statistical and Optimization Techniques for Data Science online training, individuals will also learn about linear programming, data visualization, data analytics, prescriptive analysis, variance analysis, chi-square analysis, information systems, assignment models, transportation models, Microsoft Office Suite, and more.
Certificate Availability | Certificate Providing Authority |
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yes | Jain Deemed to be University, Bangalore |
After completing the Statistical and Optimization Techniques for Data Science certification course, individuals will be introduced to the optimization techniques and statistical techniques for data science operations. In this data science certification, individuals will explore the functionalities of programs of the Microsft office suite including Excel, Word, and PowerPoint as well as will acquire the knowledge of the strategies involved with hypothesis testing, chi-square testing, prescriptive analysis, operation research analysis, variance analysis, data analysis, and data visualization. In this data science course, individuals will learn about methodologies involved with transportation models, assignment models, information systems, and project scheduling for making decisions to deal with business problems.