Aditya - Databases tutor - Nashik
1st lesson free
Aditya - Databases tutor - Nashik

The profile of Aditya and their contact details have been verified by our experts

Aditya

  • Rate £24,753
  • Response 1h
Aditya - Databases tutor - Nashik

£24,753/hr

1st lesson free

Contact

1st lesson free

1st lesson free

  • Databases
  • MySQL
  • Data Analysis

From Beginner to Data Analyst – Practical Data Analysis Training by B.Tech AI/ML Graduate

  • Databases
  • MySQL
  • Data Analysis

Lesson location

About Aditya

**About Aditya – Data Analysis Instructor**

Aditya is a B.Tech graduate in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning. With a strong academic background in data-driven technologies, Aditya focuses on helping students understand how data can be analyzed, interpreted, and used to make meaningful decisions.

The approach to teaching is centered on clarity, patience, and practical learning. Data analysis can sometimes seem complex at first, especially for beginners. For this reason, Aditya explains each concept step by step, making sure students understand the reasoning behind the techniques being used. Instead of only focusing on theory, lessons include practical exercises, real datasets, and examples that demonstrate how data analysis works in real-world situations.

Students are encouraged to ac

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About the lesson

  • Primary
  • secondary
  • Seconde
  • +20
  • levels :

    Primary

    secondary

    Seconde

    Première

    Terminale

    BTS

    Higher education

    Professional training

    Facultate (Licență)

    Masters

    Diplomgrad

    Doctorate

    Other

    GDL

    Qualified Lawyer Transfer Scheme

    MBA

    Pre-primary

    Beginner

    Intermediate

    Advanced

    Professional

    Others

    Children

  • English

All languages in which the lesson is available :

English

Aditya is a B.Tech graduate in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning. His teaching approach focuses on making data analysis practical, clear, and easy to understand. The aim is to help students not only learn tools such as Python and Excel but also understand how to analyze data and extract meaningful insights from it.

**Teaching Techniques and Methods**

Aditya uses a practical and concept-driven teaching style. Each topic is first explained in simple language so that students understand the logic behind data analysis. After the explanation, students work on real examples and datasets to see how the concept is applied in practice.

The learning process includes step-by-step demonstrations, hands-on exercises, and small projects. Students learn how to clean data, analyze information, and create meaningful visualizations. This approach helps students develop analytical thinking and confidence in working with real-world data.

**Structure of a Typical Class**

A typical class follows a clear and structured format:

1. **Concept Introduction** – Explanation of the main data analysis topic in simple terms.
2. **Tool Demonstration** – Practical demonstration using tools such as Excel or Python.
3. **Hands-On Practice** – Students apply the concept using exercises or datasets.
4. **Mini Project or Case Study** – Real-world data problems to strengthen understanding.
5. **Review and Q&A** – Discussion of key ideas and clarification of doubts.

This structure ensures that students move from understanding theory to applying it confidently.

**Special Features as a Teacher**

Aditya focuses on practical and industry-relevant skills. Students learn not only how to use tools but also how to think like a data analyst—identifying patterns, interpreting results, and presenting insights clearly.

Another important feature of Aditya’s teaching style is patience and clarity. Co

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Rates

Rate

  • £24,753

Pack prices

  • 5h: £120
  • 10h: £240

online

  • £24,753/h

free lessons

The first free lesson with Aditya will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 1hr

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