- Deliver instructor-led training in Data Analytics and Data Science.
- Teach concepts from beginner to intermediate/advanced levels.
- Create lesson plans, presentations, assignments, quizzes, and practical exercises.
- Conduct hands-on sessions using real-world datasets and business case studies.
- Guide students through projects and portfolio development.
- Evaluate assignments, projects, and assessments and provide feedback.
- Resolve students' technical and conceptual doubts.
- Track student progress and provide mentoring/support.
- Keep course content updated according to industry requirements.
- Collaborate with curriculum/content teams to improve training programs.
### Common Topics You May Need to Teach
Data Analytics
- Excel / Advanced Excel
- SQL
- Power BI / Tableau
- Data cleaning
- Data visualization
- Descriptive statistics
- Dashboard creation
- Business analytics
- KPIs and reporting
Data Science
- Python
- Pandas, NumPy
- Data preprocessing
- Statistics & probability
- Exploratory Data Analysis
- Machine Learning
- Regression/classification
- Model evaluation
- Basic AI concepts
### Typical Requirements
- Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Business Analytics, or a related field.
- Strong knowledge of Excel, SQL, Python, Power BI/Tableau, depending on the course.
- Good presentation and communication skills.
- Ability to explain technical concepts to beginners.
- Practical project experience is often preferred.
- Teaching/training experience is an advantage.
📌 Data Analytics and data science instructor (Hyderabad)
🏢 SKILLIT ACADEMY
📍 Hyderabad
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