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).
Guide students in applying statistical methods and basic machine learning to solve practical business problems.
3. Research & Academic Contri...