Data Science Tutor

Key Responsibilities:

· Teach students how to gather, clean, and preprocess data from various sources, addressing missing values and outliers.

· Guide students through Exploratory Data Analysis (EDA) to summarize data characteristics and visualize distributions and relationships.

· Instruct students in applying statistical methods for data interpretation and informed decision-making.

· Cover essential machine learning concepts, including supervised/unsupervised learning, model selection, and evaluation techniques.

· Teach effective data visualization techniques using tools like Matplotlib, Seaborn, or Tableau to communicate insights clearly.

· Provide hands-on experience in programming languages such as Python and R, focusing on libraries like Pandas, NumPy, and Scikit-learn.

· Assist students in completing projects that simulate real-world scenarios, improving their problem-solving skills and building their portfolios.

Qualifications:

· Bachelor’s degree in Computer Science or a related field.

· Proven experience as a data science tutor or similar role, with a solid understanding of data science methodologies and tools.

· Proficiency in Python, SQL, and relevant data science libraries and frameworks.

· Strong problem-solving skills and the ability to explain complex concepts clearly.

· Previous experience in teaching, tutoring, or mentoring is highly desirable.