Key Responsibilities

1. Teaching & Academic Delivery

• Deliver engaging, high-quality lectures on core subjects such as Predictive Analytics, Data Visualization, Data Mining, Business Intelligence, and Domain-Specific Analytics (Marketing, HR, Finance).
• Facilitate hands-on training sessions in dedicated Data Analytics labs using live datasets and case studies.
• Design, develop, and regularly update course modules, lesson plans, and assessments to keep pace with emerging industry trends.

2. Technical Instruction

• Instruct and train students on essential industry tools and programming languages, including Python, R, SQL, Tableau, Power BI, and Advanced Excel .
• Introduce students to advanced platforms and Big Data ecosystems where applicable (e.g., Hadoop, Apache Spark, or IBM-specific tools like Cognos and Planning Analytics).