Data Science & Analytics,Matplotlib Trainer

Job Description
Job Title: Data Science & Analytics Trainer
Experience:5+ years
Location:Lucknow(SRDT |In SRMCEMCollege Premise)
Job Summary:
We are seeking a knowledgeable and passionate Data Science & Analytics Trainer to deliver high-quality training programs in Data Science, Data Analytics, Big Data, and Data Visualization. The ideal candidate will possess strong expertise in Python-based analytics tools such as Pandas, Matplotlib, and Plotly, along with practical experience in handling real-world data projects. The trainer will be responsible for designing curriculum, conducting hands-on training sessions, mentoring learners, and ensuring participants gain industry-relevant skills in data analysis, visualization, and decision-making.
Key Skills:

• Data Science & Analytics
• Pandas
• Matplotlib
• Plotly
• Big Data Technologies
• Python for Data Analysis
• Data Visualization and Reporting
• Exploratory Data Analysis (EDA)
• Statistical Analysis
• Dashboard Development

Roles & Responsibilities:

• Deliver instructor-led training sessions on Data Science, Analytics, Pandas, Matplotlib, Plotly, and Big Data concepts.
• Design, develop, and update course content, lab exercises, case studies, assignments, and assessments.
• Provide hands-on training in data collection, cleaning, transformation, analysis, visualization, and interpretation.
• Guide learners through real-world analytics projects, business case studies, and industry use cases.
• Mentor students on exploratory data analysis (EDA), dashboard creation, reporting, and data-driven decision-making.
• Demonstrate best practices in data analysis, visualization, and storytelling using data.
• Assess learner performance through assignments, projects, quizzes, and practical evaluations.
• Stay updated with emerging trends, tools, technologies, and best practices in Data Science and Analytics.
• Customize training programs and learning materials based on organizational and learner requirements.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Strong practical experience in Data Science, Analytics, and Big Data technologies.
• Hands-on expertise with Pandas, Matplotlib, Plotly, and Python-based data analysis workflows.
• Experience working on real-world data analytics, reporting, and visualization projects.
• Knowledge of statistical techniques, data modeling, and business analytics concepts.
• Excellent presentation, communication, and mentoring skills.
• Prior training, teaching, mentoring, or corporate learning experience is preferred.

Note: Roles, responsibilities, and required expertise may be tailored according to the trainer's experience level and specific organizational requirements.