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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since March 2026
Instructor since March 2026
Think Like a Software Engineer: Java & Kotlin & Best Practices
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From 36 $ /h
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Learn Java and Kotlin from a practical, real-world perspective. This class focuses not only on programming languages, but also on essential software engineering skills such as clean code, testing, and working with databases.

Ideal for students and professionals who want to improve their coding abilities, build projects, and gain confidence in solving real problems.
Location
location type icon
Online from Spain
About Me
Hi! I’m a software engineer specializing in Java and Kotlin, with 7+ years of experience.
I help students and professionals not only learn programming, but also develop real software engineering skills.

My lessons are practical, focused on clean code, problem-solving, and real-world scenarios. I aim to create a supportive environment where you can learn with confidence and improve step by step.
Education
- Master’s Degree in Computer Science, University of Trento (UNITN)
- Master’s Degree in Computer Science, Eötvös Loránd University (ELTE)
- Bachelor’s Degree in Computer Science, University of Camerino
- Exchange Program (Erasmus), Metropolia University of Applied Sciences – Helsinki
Experience / Qualifications
- Specialized in Java and Kotlin development
- Solid understanding of software engineering best practices (clean code, testing, design principles)
- Experience with backend systems and databases
- Passion for mentoring and helping others grow as developers
Age
Preschool children (4-6 years old)
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Italian
Spanish
Availability of a typical week
(GMT -05:00)
Chicago
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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- B.tech and M.tech in Computer Science
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Featured Review :
Been trying to learn Java on my own for about 1 year and I couldn't get a grasp on it. Aniket make learning Java a fun experience and challenges you to think for yourself to reinforce the concepts you've learned. I am truly excited for our meetings and he makes time go by so fast that I'm upset when they end. Great teacher and he is genuinely passionate about your success. If I could give him more stars I would!!!


Thanks
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Chapter 1: Introduction to Advanced Analysis and Data Mining
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8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms
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Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

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Understand relational models and the use of the SQL language.
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verified badge
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* Object-oriented programming (OOP).
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* programación orientada a objetos;
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* acceso a bases de datos;
* desarrollo de aplicaciones;
* Git y control de versiones;
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The course content is titled: Advanced Analysis and Data Mining.
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Chapter 1: Introduction to Advanced Analysis and Data Mining
1-1 What is data mining, its procedures and tools
1-2 What type of data is mined?
1-3 What are databases?
1-4 Relational Database
1-5 Query Language
1-6 Benefits of Database Mining
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B - Internet search engines

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2-1 Data Types, Characteristics, and Features
2-2 Statistical Description of Data
2-3 Visualization of Data
2-4 Measuring data similarity and difference
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3-1 The importance of preparing data for analysis and mining
3-2 Data Cleanup
3-3 Data Integration
3-4 Data Reduction
3-5 Data Transformation and Data Individualization

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4-1 Basic Concepts
4-2 Shopping basket analysis (example)
4-3 Evaluating the dependency and correlation rules being explored
4-4 Mining Multi-Level Dependency and Linkage Rules
4-5 Mining multidimensional dependency and correlation rules
4-6 Rules of nominal and quantitative dependency and correlation
4-7 Exploring and identifying rare and negative patterns
4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage
4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones
4-10 Measuring the type and strength of the relationship in dependency and correlation rules
4-11 Applications of pattern mining in practical life

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5-1 Basic Concepts
5-2 Classification using decision tree extrapolation
5-3 Classification using probability theory (hypothetical theory)
5-4 Classification using hypothetical network theory
5-5 Classification using correlation rules extrapolation
5-6 Classification using neural network algorithm
5-7 Classification using the nearest neighbor algorithm
5-8 Multi-category classification algorithms
5-9 Evaluating the efficiency and selection of classification algorithms

Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms
6-1 Basic Concepts
6-2 Clustering by Division
6-3 Hierarchical Clustering
A. Hierarchical clustering
b. Hierarchical fission
6-4 Probability Clustering
6-5 High-Dimensional Clustering
6-6 Clustering of graphs and network data
6-7 Conditional Clustering
6-8 Cluster Segmentation Assessment

Chapter Seven: Analyzing and Mining Outliers and Complex Data Types
7-1 Basic Concepts
7-2 Types of extreme values
7-3 Ways to Explore Extreme Values
7-4 Complex Data Analysis and Mining

Chapter Eight: Planning Data Mining Operations and Their Applications in Society
8-1 Planning Data Mining Operations
8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms
verified badge
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Rather than focusing only on theory, we'll work through practical exercises and projects so you can apply what you're learning and gradually build your own websites.

Lessons can be adapted around your current experience and goals. Whether you're completely new to coding, already learning web development, working on your own project or looking to strengthen your existing skills, we can focus on the areas where you need the most support.

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• HTML and website structure
• CSS and responsive design
• JavaScript fundamentals
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• Website creation and development
• Git and GitHub
• Development tools and debugging
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• Deploying projects online
• Building portfolio projects
• Understanding the web development process

The aim is not simply to give you answers, but to help you understand why things work, how to solve problems independently and how the different parts of web development fit together.
Good-fit Instructor Guarantee
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Contact Tiziano