Teaching Assistant

About the company: StackRoute Learning is a suite of continuing education programs for high-demand jobs in technology. As technology evolves rapidly, StackRoute Learning’s mission is to provide students with high-quality, practitioner-led, immersive learning that prepares them to be job-ready on day one. Our programs are designed to map not just with skills, but with actual job roles trending in the market across four prominent areas – Software engineering, cloud computing, cybersecurity, and data science Link to our website - Link for our LinkedIn page : h Position : Data Teaching Assistant Job Description

• Position : Teaching Assistant
• Duration : Part-Time / Freelance
• Location : Remote/WFH

• 40 Hrs. in a month
• 10-hour weekly engagement every month.
• The program covers Azure Cloud Fundamentals and Data Scientist Certifications. Having one of these certificates is preferred.

• Attend live classes to assist students with labs and clarify concepts:-
• Monday- 3hrs – 6 PM – 9 PM EST
• Wednesday- 3 hrs. – 6 PM – 9 PM EST
• Thursday – 3 hrs. – 6 PM – 9 PM EST
• Provide outside class support, by joining calls and appointments with students.
• Preferred time for support:- 10 AM EST – 5 PM EST
• Teaching Assistant must familiarize themself with course content. They should be able to solve all the practices, assignments, and capstone project exercises.
• They must coordinate with the instructor for students’ homework evaluations and assist instructors in reviewing the assignment submissions and providing grades and feedback.
• The teaching assistant must respond to student queries within 48 hours of the student raising the query on Zoom chat.
• Weekly 10 hours of effort is to be completed by the Teaching Assistant. This can be distributed for evaluations of assignments, responding to Zoom chat, and other technical support to students.
• Teaching Assistants must occasionally join live classes to assess the students and gain a better understanding of our learning pedagogy.
• Assignment evaluations can be done during the weekend since students submit the majority of the work during the week and on weekends (Saturday and Sunday).
• Available for scheduled meetings with the internal team and manager during the weekdays as required.

• IT Concepts and Terminology: Computing Devices, OS, Apps, and Troubleshooting
• Application and Software

• Introduction to Azure and Cloud Compute
• Cloud Networking, Storage, and Database
• Cloud Concepts and Other Miscellaneous Services
• Identity and Access Services and Azure Management and Governance

• Microsoft Certified Azure Fundamentals: AZ-900

• Excel Foundations
• Statistics with Excel
• Pivot Tables and Charts

• SQL Fundamentals
• SQL Queries
• SQL Advanced Queries

• Introduction to Python
• Data Structures in Python
• Statistics with Python
• Data Analysis and Visualization with Python: Pandas, Matplotlib, and Seaborn
• Python Hypothesis Testing: Theory and Practical Applications
• Advanced Statistical Analysis with Python: ANOVA, t-tests

• Tableau Fundamentals
• Tableau Interactive Dashboards and Calculations
• LOD Expressions, Mapping, and Predictive Modeling
• Preparing and Transforming Data in Tableau

• Certified Tableau Data Analyst

• Introduction to AI and Azure AI Services: Vision, NLP, and Decision-Making
• Azure AI: Generative AI, Custom Vision, and Responsible AI

• Microsoft Certified Azure AI Fundamentals: AI-900

• Azure Machine Learning: Environment Setup, Solution Design, and Model Training
• Azure Machine Learning: Automated ML, Python SDK, and Model Deployment
• Azure Machine Learning: Building Pipelines, Deployment, and Retraining Models

• Microsoft Certified Azure Data Scientist Associate: DP-100