Data Science and Analytics Trainer

5 days ago

Indore, Madhya Pradesh, India Dream Cyber Infoway Full time ₹ 1,50,000 - ₹ 5,00,000 per year

Job Title: Data Science and Analytics Trainer

Job Summary:

We are seeking a passionate and skilled Data Science and Analytics Trainer to deliver comprehensive training in Data Science, Data Analytics, and foundational Machine Learning (ML) and Artificial Intelligence (AI) concepts. The ideal candidate should be proficient in data handling, analysis, and visualization using tools like Excel, SQL, Python, and Power BI, and capable of simplifying complex topics for practical understanding.

Key Responsibilities:

  • Deliver in-depth training sessions on Data Analytics topics, including data preparation, exploratory data analysis (EDA), trend identification, and data-driven decision-making.
  • Teach core Data Science concepts such as data collection, cleaning, transformation, analysis, and visualization.
  • Explain and demonstrate Machine Learning techniques and basic AI concepts in an easy-to-understand manner.
  • Provide hands-on training and project-based learning using tools like Excel, SQL, Python, and Power BI.
  • Develop and update training material to reflect the latest trends in Data Science and Analytics.
  • Assess learner progress and provide constructive feedback.
  • Communicate technical concepts clearly to learners from various backgrounds.

Requirements:

  • Proven experience in Data Analytics and Data Science.
  • Proficiency in tools such as Excel, SQL, Python, and Power BI.
  • Strong understanding of data wrangling, visualization, and interpretation techniques.
  • Prior teaching, mentoring, or corporate training experience is preferred.
  • Excellent communication and presentation skills.

Job Types: Full-time, Part-time, Freelance

Pay: ₹150, ₹500,000.00 per year

Benefits:

  • Flexible schedule

Education:

  • Bachelor's (Preferred)

Experience:

  • Data Science and Analytics Trainer: 3 years (Preferred)

Location:

  • Indore , Madhya Pradesh (Preferred)

Work Location: In person

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