Faculty - Data Science Subject - Education

Data Science- Faculty

1 Conduct Training Sessions.

2. Create a Course Outline for Each Lecture.

3. Structure Projects and Assignments to Assess Participants Progress.

4. Create a Lesson Plan and Submit It Before Commencement of Sessions.

5. Must Keep Themselves Updated and Bring to Sessions Real-life Case Studies to Be Discussed and Practiced Upon.
 
Requirements :

1. Programming Experience in Statistical Tools/languages Python,

2. Post Graduates, Doctorates, Data Science Professionals are Preferred.

3. Key Areas of Expertise: Python, Mathematical and Statistical Libraries in Python (Numpy, Scipy, Nltk, Pandas Etc.), Data

4. Wrangling, Data Mining, SQL, Machine Learning, Time Series Analysis.

5. Must have Excellent Communication Skills; Must Be Proficient in English.

6. Ability to Translate Knowledge Into Training

7. Trainer (currently into Freelancing) can also apply