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Tutor - Data Analytics
CourseVita
posted 15d ago
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Job Description
Join Coursevita, an innovative EdTech company dedicated to global education transformation. Were hiring a seasoned Data Analysis Tutor to empower learners. In this role, youll deliver comprehensive instruction and support, helping students excel in our Data Analyst courses.
Roles and Responsibilities:
- Conduct live online tutoring sessions for learners enrolled in Data Analyst courses, covering fundamental concepts, techniques, and tools in data analysis.
- Develop and deliver engaging and interactive lesson plans, tutorials, and assignments tailored to the learning objectives and skill levels of learners.
- Provide personalized guidance, feedback, and support to learners to help them understand data analysis methodologies, algorithms, and best practices.
- Facilitate discussions, group projects, and hands-on activities to reinforce learning and promote critical thinking and problem-solving skills among learners.
- Stay updated on the latest trends, advancements, and best practices in data analysis, data visualization, and statistical modelling.
- Assist in the development and enhancement of course content, curriculum, and learning resources based on learner feedback and industry trends.
- Collaborate with other tutors, subject matter experts, and instructional designers to ensure the quality and effectiveness of Data Analyst courses.
- Foster a positive and inclusive learning environment that encourages active participation, collaboration, and continuous improvement among learners.
- Provide support and guidance to learners outside of scheduled tutoring sessions through email, discussion forums, and virtual office hours.
- Maintain accurate records of tutoring sessions, learner progress, and performance evaluations in the companys learning management system.
Requirements- Strong understanding of core concepts and principles of data analysis, including data manipulation, exploratory data analysis, and statistical inference.
- Proficiency in data analysis tools and software, such as Excel, R, Python (with libraries like pandas and NumPy), or SQL.
- Experience with data visualization techniques and tools, such as Tableau, Power BI, or matplotlib/seaborn.
- Knowledge of statistical methods and techniques commonly used in data analysis, such as regression analysis, hypothesis testing, and clustering.
- Ability to explain complex data analysis concepts, methodologies, and techniques in a clear and understandable manner.
- Experience applying data analysis concepts to real-world datasets and problems, including data cleaning, transformation, and interpretation.
- Familiarity with best practices in data ethics, privacy, and security is a plus.
- Strong understanding of core concepts and principles of data analysis, including data manipulation, exploratory data analysis, and statistical inference.
Employment Type: Full Time, Permanent
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