Python Trainer

1 day ago

Nagpur Maharashtra, India ADEO DISTINCTIONS & DIMENSIONS PVT LTD Full time

Responsibilities

1. Design and develop engaging and effective data science courses or programs, ensuring they align with current industry trends and best practices.

2. Create comprehensive lesson plans that cover the core concepts of data science, including statistics, programming, machine learning, and data visualization.

4. Develop curriculum, syllabus, and lesson plans, and ensure they align with industry standards and current trends.

5. Answer questions, address challenges, and offer guidance on assignments and projects.

6. Monitor student progress and provide feedback to help them improve their learning outcomes.

7. Stay up-to-date on the latest trends and developments in the data science industry.

8. Strong experience in Data Science and programming with Python

9. Develop and implement effective assessment methods to measure student learning outcomes.

10. Strong ability to communicate technical concepts to a non-technical audience

11. Upgrading to new technologies as an when required.

12. Creating videos and written content.

**Requirements**:
1. A Bachelor's or Masters or Ph. D. degree in a related field, such as computer science, statistics, or mathematics.

2. Must have 1 - 3 years of instructor experience in data science.

3. Strong experience in data science and programming with Python.

4. Strong ability to lead a classroom and create an interactive environment.

5. Experience with machine learning, deep learning, and NLP will be a plus.

Skills Required - Python, Machine Learning, SQL, Power BI, Advanced Excel.

**Note: Freshers please do not apply.**

**Salary**: ₹25,000.00 - ₹30,000.00 per month

Schedule:

- Day shift

Application Question(s):

- May I know your current ctc ?

**Education**:

- Diploma (preferred)

**Experience**:

- Trainer: 2 years (preferred)
- total work: 1 year (preferred)
- Machine learning: 1 year (preferred)
- Data science: 1 year (preferred)
- Power BI: 1 year (preferred)

**Language**:

- English (preferred)

Work Location: In person

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