Data Science Tutoring: Python, Machine Learning, Statistics | Online Sessions

4.8(32)

Free trial lesson

Private tutor - Aesha Rathod

Diploma degree

$38

/ hour

Improved problem-solving skills

92% of students report faster problem-solving after lessons.

Debugging and problem-solving focus

85% of students improve debugging skills.

Highly rated for problem-solving approach

95% of students improve problem-solving skills and speed.

About your data science tutor

Hi, I’m Aesha Rathod—a dedicated tutor with a Post Graduate Diploma in Data Analytics for Business and a deep passion for Data Science. Over the years, I’ve developed expertise in Data Analysis, Machine Learning, Python, and more. I hold certifications in Business Intelligence and Statistical Analysis, which enable me to provide focused and practical guidance. I offer tutoring across a wide range of subjects, including Databases, Power BI, and Microsoft Excel. Whether you’re a school student, college learner, or adult returning to education, my customized approach helps improve grades, deepen understanding, and build confidence—especially in predictive modeling and analytical techniques. Beyond tutoring, I also assist with assignments, study planning, and mock test preparation. I help simplify complex concepts like Data Visualization, Deep Learning, and Statistical Analysis using real-world examples and case studies. Let’s embark on this exciting learning journey together—where we combine the worlds of Data Science and music into a transformative educational experience that helps you excel both academically and creatively.

Data Science tutor specialities

Case Studies

Deep Learning

Business intelligence

Data engineering

Machine learning

Assignment help

Data sciece class overview

I specialize in teaching Data Analysis, Machine Learning, and Statistics to a diverse audience—ranging from school students and beginners to college learners and adult professionals. My approach emphasizes hands-on projects, conceptual clarity, and real-world application, helping students grasp complex concepts while developing practical skills. To make learning effective and engaging, I integrate a range of tools including Jupyter Notebook, Google Colab, Python, Power BI, Tableau, and SPSS. These platforms foster interactive, collaborative learning environments where students can practice data cleaning, statistical modeling, and analysis. I also incorporate digital whiteboards for visual demonstrations, quizzes for assessments, and study planners for time management. Regardless of the curriculum—be it Common Core, IB, or another framework—I adapt my lessons to meet academic standards while nurturing deep subject understanding. For online learning, I use tools like Streamlit to create data apps and quizzes. Offline, I offer project-based learning, orchestral support, and customized practice worksheets tailored to individual learning needs. Ultimately, I strive to create a dynamic learning space where theory meets practice. My goal is to build confidence and equip students with the skills they need to thrive in data science and statistics.