Learn basic of Data viz and analysis for key decision making

From 92 C$ /h

Students WILL learn how to transform raw data into clear, insightful visuals that tell a story. The course covers principles of effective chart design, selection of the right visualization types, and hands-on use of tools like Tableau, Power BI, or Python libraries. Participants also practice analyzing trends, patterns, and outliers to support data-driven decision-making.

Extra information

Bring your own laptop

Location

Online from Panama

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Student level

Beginner

Intermediate

Duration

30 minutes

45 minutes

The class is taught in

English

Spanish

Skills

Information technology

Database

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Salah

4.96

(27)

Master Python with Personalized Courses

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.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Patrick

4.96

(27)

Do you need professional support for your quantitative data analysis?
I offer you a personalized service, adapted to your academic or professional needs.

Whether you are a student, researcher, consultant or professional, I put my expertise at your disposal to help you:
Prepare and organize your databases,
Perform reliable statistical analyses with R, Stata, SPSS...
Interpret your results rigorously,
Present your work in the form of clear reports, graphics and publications.
Each project is handled with rigor, pedagogy, and confidentiality. You benefit from tailored support, whether for a professional assignment, a dissertation, a thesis, or a publication.

For those who wish to train in parallel, I have also designed a complete course to learn how to explore, manipulate and analyze your data independently.

Vincent

4.96

(27)

With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

Expertise & Teaching Areas:
✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.

Dr.Ibrahim

4.96

(27)

This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.

Dr.Ibrahim

4.96

(27)

This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

Laith

4.96

(27)

Technology is everywhere, and understanding how it works and how to protect it can open doors to exciting opportunities. I’ve designed this course as a hands-on journey into networking, programming, and cybersecurity, where you don’t just learn theory, you practice real skills that matter in the digital world.

In this course, I’ll guide you through building and analyzing networks, writing programs with Python and other languages, and exploring how systems communicate and interact. You’ll dive into cybersecurity fundamentals, learn to identify vulnerabilities, understand how attacks happen, and practice defending systems like a pro.

Through interactive exercises, practical examples, and real-world scenarios, I’ll show you how hackers think, how organizations respond to threats, and how to secure systems effectively.

By the end of the course, you’ll have the confidence, knowledge, and hands-on experience to tackle networking, programming, and security challenges and apply these skills in your studies, career, or personal projects.

Mustafa

4.96

(27)

Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals.

The course content is titled: Advanced Analysis and Data Mining.
The book can be searched for using its name or the author's name.

Table of Contents

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
1-7 months data mining applications
A - Business Intelligence (Business Intelligence)
B - Internet search engines

Chapter Two: Data Recognition
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
Chapter Three: Preparing Data for Analysis and Mining
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

Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules
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

Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms
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

Javier

4.96

(27)

Hello,

After a 34-year career in systems engineering (including roles as AVP System Engineer & Product Owner at Moody's), I've learned one essential truth: technology is useless if it remains overly complex.

There is NO set curriculum or pre-defined syllabus: every session is 100% tailor-made. I adapt entirely to your request, your skill level, and your current objectives—whether that means gently discovering a new tool or solving a specific technical challenge.

My approach is built on clear, accessible guidance: no unnecessary jargon, no dull theory, and no prerequisites required. My goal is to make technology accessible, seamless, and immediately useful (if my experience helps you avoid a few costly surprises, then I’ve done my job).

Examples of what we can cover together:

Discover and Master AI (ChatGPT, Copilot, Claude, Gemini, Veo, etc.)

Learn how to write clear prompts to get accurate results (prompt engineering).

Use AI to draft content, summarize documents, analyze data, or organize your daily work.

Understand best practices to use these tools securely.

Simplify and Automate Your Daily Tasks

Connect your collaborative tools (emails, files, calendars, M365 services) to eliminate repetitive actions.

Migrate to new M365 services smoothly.

Set up simple virtual assistants to save you time.

Optimize Your Digital Tools & Cloud Environment

Take control of your IT workspace, organize collaborative environments, and secure your access.

How?
We start with YOUR topics: a practical problem to solve, a project to bring to life, or a tool you want to master. Everything is explained clearly and patiently so that you leave every session with practical, actionable solutions.

Whatever your starting point or project, the course adapts to you—never the other way around.

Mayssa

4.96

(27)

I specialize in tutoring programming and software development, with a focus on Java, Spring Boot, Angular, SQL. My goal is to help students build a strong understanding of programming while keeping lessons practical, engaging, and appropriately challenging—not overwhelming. This class is designed for students and aspiring developers who want to strengthen their programming skills or start their journey in software engineering. We can work on programming fundamentals, web development, databases, APIs, backend and frontend development. I use practical examples and hands-on exercises to help you understand concepts and apply them to real-world projects.

Shashi

4.96

(27)

I’m **Shashi Wijesundara**, an experienced **ICT & Computer Science Teacher with 6+ years of teaching experience**, dedicated to helping students build strong knowledge, confidence, and exam success.

Over the years, I have guided students preparing for **National O/L ICT examinations**, achieving **excellent results and outstanding student performance**. My teaching approach focuses on making difficult concepts simple, practical, and easy to understand.

📚 **Classes Offered:**

- 🇱🇰 **National Grade 06 to O/L ICT ** –

- 💻 **Pearson Edexcel Computer Science** – Grades 01–08

- 🖥️ **Cambridge Computer Science** – Grades 01–09

🎯 **What I Focus On:**

- Strong understanding of ICT & Computer Science concepts
- Exam-oriented teaching and structured revision
- Individual attention and student-focused learning
- Building confidence through practical and engaging lessons
- Helping students achieve their **best possible results**
- Exam-focused preparation with proven results

With **6+ years of teaching experience**, my goal is not simply to teach a subject, but to **inspire students to understand, enjoy, and succeed in ICT & Computer Science**.

Manahil

4.96

(27)

Unlock the Power of Artificial Intelligence & Smart Automation!

Are you looking to master modern AI tools to boost your productivity, automate tasks, or enhance your tech projects? I offer hands-on, practical training tailored for beginners and tech enthusiasts.

What You Will Learn:
- Prompt Engineering Patterns: How to write effective, precise prompts for ChatGPT and LLMs.
- Practical AI Tools & Workflows: Real-world applications using AI models and APIs.
- Smart Automation: Integrating modern AI solutions into daily tasks, study workflows, and projects.

Why Choose My Sessions?
- Step-by-step guidance tailored to your learning pace.
- Practical examples and hands-on exercises instead of just theory.
- Student-focused approach to help you master modern tech skills.

Book a session today, and let's step into the future of AI together!

Ivana

4.96

(27)

I am an experienced computer science teacher with many years of teaching experience and a university degree in Mathematics and Computer Science.

I offer individual online lessons in programming and computer science for school students, as well as support for university students in selected subjects. Lessons can cover Python, MATLAB, SQL and databases, algorithms and programming fundamentals, computer systems, and web development with HTML, CSS and JavaScript.

My lessons are adapted to each student's previous knowledge, current curriculum and individual goals. I explain concepts step by step and focus on understanding the logic behind programming rather than simply memorizing code.

We can work on current school or university topics, programming exercises and assignments, fill gaps in knowledge, prepare for tests and exams, or develop practical programming skills.

Lessons are taught online in Serbian, Bosnian or Croatian, which can be particularly helpful for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.

Mayank

4.96

(27)

In this 30-minute class, we will understand the two core components of a microprocessor: the ALU (Arithmetic Logic Unit) and the Control Unit. I will explain their structure, functions, and how they work together to execute instructions, using simple diagrams and practical examples. The goal is to build a clear understanding of how a microprocessor processes and controls data.

Teferi

4.96

(27)

Information technology is basic for other department since almost every things becomes a digitalized. Basic computer knowlege is very important to understand more every activity we do by computer/smart devices. Maths also very basic for increasing problem solving skills.

Julio

4.96

(27)

Having graduated with a Master's degree in Computer Science and Management (MIAGE) and with nearly three years of professional experience in data and IT at Orange Caraïbes, I offer private lessons tailored to the level and objectives of each student.

I can assist you with general IT, Python, SQL, data analysis, Excel, Power BI, programming, databases, and the use of digital tools.

The courses can also be geared towards homework help, preparation for a school or university project, introduction to programming or development of professional skills.

Having also taught at a secondary school, I place great importance on pedagogy and understanding. My goal is to explain concepts in a simple, progressive, and concrete way, with exercises adapted to your level.

Lessons are offered in French or English, primarily for teenagers and adults, from beginner to advanced levels. I travel to the student's home in Brussels and the surrounding area, with content tailored to their level, goals, and pace.