Steve graduated from a university with a master’s in data analytics. He is currently working as a data analyst for a company A (work from home – remote). He mainly uses R and SQL. He has some questions that need to be answered in paragraphs (50-100 words per question). The answers need to include R & SQL, machine learning, raw data related to investment, etc. Steve is working for this company using the skills learned from the university and the employer should be training Steve for this role.
Major: Data analytics
Company name: A
Job title: data analyst
Program/skills: R, SQL / investment-related raw data collection, cleaning data, normalizing data, machine learning
1. Student Role:
The student’s role enhances their knowledge related to his Master’s degree in Data Analytics by being exposed to different types of data from various sources and forms. Since the student woke remotely, he has unlimited access to sources of data collection and source. Any search is possible through the internet. The student has unlimited chances to study, analyze, and manipulate data.
2. Goals and Objectives:
The student’s work-based learning work objectives related to his work experience STEM degree are met by being exposed to different analytical platforms and his permission to deal with various forms of data that form the basis of Masters in Analytical degree. Steve’s goals will be achieved by using methods such as Technology-Based Learning via technological platforms such as Zoom; using simulators to imitate real work experiences; performing On-The-Job Training on specific new areas by coaching/mentoring, and periodically holding Group Discussions & Tutorials to address emerging issues.
3. Employer Oversight:
The employer provides oversight and supervision of employees and students under training through different effective methods. For instance, the employer ensures that he is being fair in developing everyone under training. The employer also emphasizes on the need to know and like all subordinates by showing continuing interest to them. In case of any underperformance, there is also the need to remain flexible and criticize with care and give simple directions.
4. Measures and Assessments:
The employer will measure and assess the student’s new knowledge and skills by applying a Graphic rating scale using sequential numbers, such as 1 to 5, or 1 to 10, to rate an employee’s relative performance in specific areas. 1 means poor while 5 means excellent performance. The scale uses checklists with specific expectations of employees’ standards covers all areas involved in learning to collect 360-degree feedback of evaluation.
5. Additional Remarks (optional) pertinent to the Plan:
The plan is an effective means that go beyond the expectations of student’s knowledge of analyzing data offline to the ability to work remotely while implementing the same goals effectively. It was clearly shown that students should be well-versed with a range of additional skills to supplement the major of their area of specialization.