Harshit Ajmera Data Science
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Hello, aspiring data scientists! I'm Harshit, an enthusiastic and approachable data science teacher ready to guide you through the world of data analysis and machine learning.

Having taught data science to diverse groups of learners online, I understand the challenges and opportunities that students face. I leverage interactive platforms, virtual labs, and engaging multimedia resources to ensure an immersive learning experience. My goal is to simplify complex concepts and techniques, making them accessible to learners of all backgrounds.

In my virtual classroom, you'll find a friendly and relaxed atmosphere that encourages active participation. Through clear explanations, visual aids, and step-by-step demonstrations, I aim to foster a deep understanding of data science principles while maintaining an enjoyable and stress-free learning experience.

Course Highlights:
~ Comprehensive curriculum covering essential topics such as data preprocessing,
statistical analysis, machine learning algorithms, and data visualization.
~ Emphasis on practical application through coding exercises and projects using popular tools and libraries like Python, R, and TensorFlow.
~ Personalized guidance and feedback to ensure your progress and address any challenges you may encounter.
~ Regular interactive sessions, including Q&A sessions, group discussions, and case studies foster collaboration and critical thinking.

Join me on this exciting data science journey and let's uncover the power of data and its potential.

Subjects

  • Data Science and Machine Learning Beginner-Intermediate

  • Python 3 Beginner-Intermediate

  • MS - Excel Beginner-Expert

  • Programming (R) Beginner-Intermediate

  • Data analysis in Excel Beginner-Expert

Experience

  • Tutor (Mar, 2020–Present) at self employed

Education

  • Executive PG Programme in Data Science (May, 2023–now) from Upgrad- IIIT Banglore

Fee details

    ₹500–2,000/hour (US$5.85–23.39/hour)

    The fee may vary depending on the requirements, course, class timings, and number of classes.

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