Freelance Data Science Trainer (Python)

IMHR Academy (Innovative Minds HR Academy) is looking for an experienced Data Science Trainer (Python) to deliver practical, industry-oriented classroom training to students and aspiring Data Science professionals.

The ideal candidate should have strong expertise in Python Programming, Statistics, Data Analysis, Exploratory Data Analysis (EDA), and Data Visualization, with the ability to conduct hands-on sessions using real-world datasets and industry use cases.

Job Title : Freelance Data Science Trainer (Python)

Job Type : Freelance | Contract | Classroom Training

Location : Lucknow (On-site)

Project Duration : 4 Months

Working Hours

• 6 Hours per Day
• Monday to Friday
• Saturday & Sunday Off

Compensation & Benefits

• 50,000 per Month
• Accommodation Provided
• Food Provided
• Transportation Provided

Key Responsibilities

• Deliver classroom training on Data Science fundamentals and Python Programming.
• Conduct practical coding sessions, hands-on labs, and real-world case studies.
• Teach statistical concepts, data analysis, and data visualization techniques.
• Guide students through assignments, projects, and assessments.
• Mentor learners for industry readiness and interview preparation.
• Evaluate learner performance and provide constructive feedback.
• Ensure students gain practical, job-ready Data Science skills.

Training Modules Data Science Fundamentals

• Introduction to Data Science
• Data Science Lifecycle
• Business Problem Solving
• Python Fundamentals

Python Programming

• Variables & Data Types
• Operators & Control Statements
• Functions & Modules
• File Handling
• Exception Handling
• Object-Oriented Programming (Basics)

Statistical Foundations

• Descriptive Statistics
• Probability
• Sampling Techniques
• Hypothesis Testing
• Correlation
• Regression Basics

Python Libraries for Data Science

• NumPy
• Pandas
• Matplotlib
• Seaborn
• Introduction to Scikit-learn

Data Exploration & Visualization

• Data Cleaning
• Data Transformation
• Handling Missing Values
• Exploratory Data Analysis (EDA)
• Data Visualization
• Feature Understanding

Introduction to Linear Relationships

• Correlation Analysis
• Linear Regression
• Model Evaluation
• Prediction Basics

Required Skills

• Minimum 3+ years of Industry or Training Experience in Data Science or Python.
• Strong expertise in Python Programming.
• Good understanding of Statistics and Probability.
• Hands-on experience with NumPy, Pandas, Matplotlib, and Seaborn.
• Experience in Exploratory Data Analysis (EDA).
• Basic understanding of Machine Learning concepts.
• Excellent communication and presentation skills.
• Ability to explain technical concepts using practical examples.
• Corporate or Classroom Training experience is preferred.

Preferred Qualification

• Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, MCA, M.Tech, B.Tech, M.Sc., or related field.
• Relevant certifications in Python, Data Science, Machine Learning, or AI will be an added advantage.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.