Computer Science Tutoring: Coding, Web Development, App Development, Python, Java

4.6(70)

Free trial lesson

Web Development tutor - Anand Dwivedi

Bachelors degree

$24

/ hour

Rated 4.6 out of 5 stars.

★★★★★

Popular

Highly skilled & top-rated

70 ratings

Ratings

Improved problem-solving skills

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

Paired coding for effective learning

90% of students benefit from collaborative lessons.

Focused on real-world coding applications

Build real projects, from apps to websites.

About your tutor

My technical proficiency encompasses programming languages such as Python, Java, C++, and .NET, and I possess hands-on experience in Android Studio for mobile app development. I also have strong expertise in web technologies, including website design and development, enabling me to build responsive and user-friendly web applications. In addition, I am actively engaged in the domains of Artificial Intelligence (AI) and Machine Learning (ML), contributing to research and practical implementations. My skill set extends to Data Science and Data Engineering, where I work with large datasets, data pipelines, and analytical tools to derive meaningful insights. I am also well-versed in Relational Database Management Systems (RDBMS) and data handling techniques, ensuring robust backend development and efficient data storage solutions.

Programming tutor specialities

Common Core State Standards - CCSS (USA)

Exam prep

A-Levels (UK)

Project help

Assignment help

Provincial-specific curriculum (CA)

Code Optimization

Homework help

New Zealand Curriculum - NZC (NZ)

Test prep

State-Specific Standards (USA)

Upskilling

Programming class overview

I am an experienced tutor specializing in a hands-on and interactive teaching style, focusing on coding, algorithmic thinking, problem-solving, and project-based learning. With a diverse range of subjects including Computer Science, Web Development, App Development, Python, Java, JavaScript, HTML, CSS, SQL, Data Science, and Data Engineering, I cater to a wide audience of 50+ students at various levels, including school, college, adults, and professionals. To ensure an engaging and effective learning environment, I leverage a variety of tech tools such as Google Colab, Jupyter Notebook, PyCharm, Visual Studio Code, and NetBeans for coding exercises and project development. Additionally, I use platforms like GitHub for version control, Postman for API testing, and digital whiteboards for interactive sessions.