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Since March 2023
Instructor since March 2023
Python & Pandas: A Programming Guide to the data galaxy
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From 16 € /h
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Welcome to the basics of Data Science with Python applied to real cases! In this course, we will cover the fundamental concepts and techniques of data science using the Python programming language.

The course will begin with an overview of the key concepts in data science, including data types, data structures, and statistical analysis. We will then move on to cover the basics of Python programming, including variables, data types, loops, functions, and classes.

Once we have covered the fundamentals of Python programming, we will dive into the world of data analysis and manipulation with the Pandas library. You will learn how to import, clean, and transform data using Pandas and how to perform basic statistical analysis on data.

Next, we will explore data visualization with Matplotlib and Seaborn libraries. You will learn how to create different types of plots and charts to visualize data and gain insights from it.

In the second half of the course, we will apply what we have learned to real-world data science problems. You will work on projects that involve cleaning and analyzing real datasets, such as census data, financial data, or climate data.

Throughout the course, you will have access to a variety of resources, including lectures, readings, exercises, and quizzes. You will also have the opportunity to collaborate with other students and receive feedback from your instructors.

By the end of this course, you will have a solid understanding of the basics of data science with Python and how to apply it to real-world problems. You will be able to use Python to perform data analysis, create visualizations, and draw insights from data.
Location
location type icon
Online from Italy
About Me
I'm a 23 years-old master student of Nuclear engineering with bachelor in mechanical engineering, passionate in scientific divulgation, literature, languages and science. Traveller and full time life enjoyer. My goal, other than helping you to understand the topics, is to show you the beauty behind the knowledge and nature!
Education
I pursued my academic studies with a strong interest in engineering, and obtained both a Bachelor's degree in Mechanical Engineering from the National University of Colombia and a Master's degree in Nuclear Engineering from the prestigious Politecnico di Milano in Italy.
Experience / Qualifications
As an English and Spanish teacher for two years, I have had the opportunity to work with a diverse range of students, each with their own unique needs, learning styles, and goals. Throughout my time, I have developed a deep understanding of the importance of tailoring my teaching approach to the individual needs of each student.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
60 minutes
The class is taught in
English
Italian
Spanish
French
Availability of a typical week
(GMT -04:00)
New York
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
Welcome to our high school math course - where we'll take you on an epic adventure through the world of numbers, equations, and problem-solving!
In this course, we'll cover a wide range of topics - from algebra and geometry to calculus and beyond. Our experienced instructors will guide you through each concept, breaking down complex ideas into bite-sized chunks that are easy to understand.
But we won't just be talking about math - we'll be doing math. Lots of it. We'll work through plenty of examples and practice problems together so that you can build up your skills and confidence. You'll learn to think critically, analyze problems, and use math to solve real-world challenges.
Our approach is anything but boring. We'll use interactive tools and fun activities to keep you engaged and motivated.
By the end of this course, you'll have a solid foundation in high school math that will serve you well in your academic and professional pursuits.
Whether you're planning to pursue a career in science, engineering, or mathematics, or you simply want to excel in your high school math courses, this course is the perfect place to start.
So what are you waiting for?
Join us on this exciting journey and discover the power of math!
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Welcome to the most fun and creative Spanish class you'll ever attend! Our goal is to not only teach you the language, but to immerse you in the culture and make you feel like you're actually in a Spanish-speaking country.

We don't believe in boring textbooks and endless grammar rules. Instead, we incorporate music, food, and games into our lessons to make learning Spanish an unforgettable experience.

Imagine learning how to dance the salsa while also practicing your conversational skills, or tasting traditional Spanish cuisine while discussing the differences between the preterite and imperfect tenses.

Our experienced and energetic teachers will have you laughing, singing, and even acting out hilarious skits to help you remember new vocabulary and grammar concepts.

So, join us for a fiesta of learning and let's have some fun while becoming fluent in one of the most beautiful languages in the world! ¡Vamos a aprender español de una manera divertida! (Let's learn Spanish in a fun way!)
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A formal language is an abstraction of general characteristics of programming languages. Such a languages consists of a set of symbols together with some rules to determine whether a string made up out of those symbols is a member of the language.

Topics include:
Regular languages, context-free languages
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✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
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🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
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📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
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Areas I cover regularly:

Python from the basics through functions, data structures, file handling, object orientation and libraries like NumPy and Pandas
C and C++, including the parts that cause most of the trouble: pointers, memory management, structs, classes and compilation
GCSE and A-Level Computer Science across all exam boards, including pseudocode, trace tables and written paper technique
A-Level NEA projects and university coursework, plus debugging sessions and code review
Embedded C for Arduino, ESP32 and microcontroller projects, which is the work I do professionally

After each lesson I send written notes covering what we did, worked through step by step, so you have something to revise from later rather than trying to remember what was on screen.

First session is free and lasts 30 minutes. We use it to work out what you need and whether I'm the right person for it. If I'm not, I'll say so and point you somewhere better.

Message me with what you're studying and what's giving you trouble, and I'll tell you honestly how I'd approach it.
verified badge
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Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects
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Overview

Transitioning from learning data science theory to solving actual business problems is the hardest step for any aspiring data professional. [Insert Chosen Course Title] is an intensive, mentor-led program designed to simulate a real-world data team environment. Instead of working through synthetic, pre-cleaned textbook datasets, you will take on messy, complex industry scenarios and turn them into end-to-end data products.

What You’ll Experience

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Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about.

1-on-1 & Group Mentorship: Receive continuous code reviews, architectural feedback, and project guidance mirroring the experience of working under a Senior Data Scientist or Analytics Lead.

Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle.

Who This Is For
Aspiring Data Analysts, Data Scientists, and recent graduates who know Python, but want the practical experience, confidence, and portfolio needed to land high-impact roles in the industry.
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A patient and passionate instructor offers a customized learning path in Java, JavaScript, or Python. The goal of this course is to enable you to develop strong algorithmic thinking skills, regardless of your starting level. Throughout the course, active listening and patience are emphasized to ensure that no question goes unanswered. The sessions are highly interactive, and the problem is broken down step by step.
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I offer engaging and easy-to-understand online classes in Mathematics, Physics, and Computer Science.
My lessons are designed to make difficult concepts simple through clear explanations and practical examples.
I adapt my teaching style to each student’s level, learning pace, and individual needs.
Whether you need help with school topics, homework, exam preparation, or building strong fundamentals, I’m here to help. My goal is to make learning enjoyable while helping every student improve their confidence and achieve better results.
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This interdisciplinary program equips you with the fundamental skills of a modern engineer by combining applied mathematics, physics, and scientific computing. Designed as a coherent whole, this course shows you how these three disciplines work together to solve real-world engineering problems.

Mathematics Module: Numerical analysis, computational linear algebra, differential equations and optimization methods adapted to physical modeling.

Physics Module: Mechanics of systems, thermodynamics, electromagnetism and wave phenomena with rigorous mathematical equation formulation.

Computer Science Module: Scientific programming in Python, numerical simulation, algorithmic solving of physical and mathematical problems, data visualization.

Pedagogical approach: Each theoretical concept is immediately put into practice through integrated projects. For example, you will mathematically model a pendulum, establish the physical equations of its motion, and then develop a Python program to simulate and visualize its behavior.
Good-fit Instructor Guarantee
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