3 Hours per Day (1:00 PM - 4:00 PM, Monday to Saturday)
Total Hours:
105 Hours
No. of Trainers Required:
1
About the Program
We are conducting a specialized
Data Analytics using Python
training program designed to equip learners with practical skills in data analysis, visualization, and manipulation. The trainer will deliver sessions covering key Python data analytics libraries and hands-on exercises that prepare participants for real-world analytics challenges.
Key Responsibilities
Deliver high-quality, interactive training sessions on
Data Analytics using Python
.
Cover essential libraries including
NumPy, SciPy, Pandas, Matplotlib, and Seaborn
with practical examples.
Design and explain real-world case studies and datasets for hands-on practice.
Ensure participants grasp core concepts like data cleaning, transformation, visualization, and statistical analysis.
Provide guidance, feedback, and doubt-clearing support during the course.
Assess participants' understanding through assignments, quizzes, and mini-projects.
Maintain training logs and provide periodic progress updates.
Required Skills & Experience
Strong proficiency in
Python
with a focus on
data analytics libraries
(NumPy, SciPy, Pandas, Matplotlib, Seaborn).
Minimum 2-3 years of experience in data analytics or related roles.
Prior experience as a trainer or mentor is preferred.
Solid understanding of statistical concepts and their application in analytics.
Ability to explain technical concepts in a clear and engaging manner.
Educational Qualification
Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or related fields.
Relevant certifications in Python/Data Analytics will be an added advantage.
Mode of Training
Offline (Classroom) Training
- Hyderabad
Compensation
Competitive and based on experience.
Job Type: Contractual / Temporary
Contract length: 35 days
Pay: ?600.00 - ?800.00 per hour
Experience:
Training & development: 3 years (Required)
IT: 3 years (Required)
Language:
English (Required)
Location:
Hyderabad, Telangana (Required)
Work Location: In person
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