Python/Data Science Instructor at Early Code

Python/Data Science Instructor at Early Code

At Early Code,we provide coding skills in a way you can quickly learn and apply them.Code your own logical operations, design and develop applications and websites.

Job Description

  • Create and maintain up-to-date instructional materials, including assignments, projects, and assessments.
  • Conduct physical classes, providing clear explanations, demonstrations, and real-world examples.
  • Offer personalized support to students, addressing their questions, providing feedback, and helping them troubleshoot coding and data science challenges.
  • Assess student performance through assignments, projects, and exams, and provide constructive feedback to guide their learning progress.
  • Foster an engaging and inclusive learning environment that encourages active participation and collaboration.
  • Stay informed about industry trends, emerging technologies, and best practices in Python programming and data science.
  • Continuously evaluate and improve course content and instructional methods based on student feedback and learning outcomes.
  • Collaborate with other instructors and team members to enhance the overall educational experience and contribute to the development of new programs.

Location: Abuja

Job Type: Full-time

Salary: ₦100,000 – ₦150,000/month

Requirements

  • Minimum of HND (Higher National Diploma)
  • Advanced degrees or relevant certifications are a plus.
  • Extensive experience in Python programming and data science, with proficiency in key libraries and tools such as Pandas, NumPy, Matplotlib, Scikit-learn, Power BI, Tableau and TensorFlow.
  • Strong understanding of data analysis techniques, machine learning algorithms, and data visualization practices.
  • Proven experience in teaching or instructing, with the ability to effectively communicate complex concepts to diverse audiences.
  • Excellent presentation, communication, and interpersonal skills.
  • Ability to adapt teaching methods to accommodate different learning styles and skill levels.
  • Strong organizational skills and attention to detail, with the ability to manage multiple courses and student interactions efficiently.
  • A passion for education and a commitment to helping students achieve their academic and career goals.

Interested and qualified candidates should forward their CV to: [email protected] using the position as subject of email.


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