Data Analyst Instructor

Responsibilities:

Course Delivery:

• Design and deliver high-quality, hands-on training sessions in Data Analysis, SQL, Python, and Machine Learning.
• Use practical examples and real-world case studies to enhance learners’ understanding.
• Ensure interactive and engaging class sessions, accommodating diverse learning styles.

Curriculum Development:

• Create and update course materials, including lesson plans, slide decks, assignments, and projects, in alignment with industry standards.
• Incorporate the latest tools, libraries, and trends in Python, SQL, and Machine Learning into the curriculum.

Technical Training:

• Teach Python for data analysis, including libraries such as Pandas, NumPy, and Matplotlib/Seaborn for data visualization.
• Deliver SQL training focusing on database querying, joins, aggregations, and performance optimization.
• Guide students in implementing machine learning algorithms (e.g., regression, classification, clustering) using frameworks like Scikit-Learn and TensorFlow.

Assessment and Support:

• Evaluate students’ performance through assignments, quizzes, and projects.
• Provide constructive feedback to improve their skills and knowledge.
• Offer one-on-one mentoring to address individual learning needs. etc

Requirements:

• 2 years experience
• Minimum of HND