Python & Pandas: A Programming Guide to the data galaxy

From 26.54 C$ /h

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

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

Skills

Python

Database

Computer science

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

Mathematics: It's not Rocket Science...Oh Wait, It Is!

26.54 C$ /h

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!

¡Vamos a la Playa! Surfing the Waves of Spanish from English

26.54 C$ /h

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!)

Dr.

5.0

(15)

I am Dr Iyer- a tutor with over 18 years of teaching experience as of 2023 and students from across the globe. I teach one-on-one online (over Skype/ Google Hangout and other media) using a pen tablet and the screen-share feature.

I have helped several students in courses like Python Programming, R Programming, Data Science,
Machine learning etc. I can customise the content to domains like business, economics finance and investments as per student requirements.

I have taught students of various age groups - high school (IB/Cambridge/IGCSE/ ICSE,) University (bachelors, masters, doctoral) and working industry professionals.

More than anything, I trust that if I can replace the fear of a subject with love for it, then I would have truly made a difference to the student.

Robert

5.0

(15)

As a Franco-Belgian management teacher, I give Excel lessons with passion!
Whether remotely or face-to-face, I offer many examples and exercises to accompany you.
I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely.

Here are some key words that will be covered in my classes:
Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking

Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

Amin

5.0

(15)

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Reza

5.0

(15)

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities.
The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking.
The topics in our lesson include:
• Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions
• Boolean Algebra: Substitution laws
• Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition.
• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
• Deduction: Valid arguments and proofs; Proofs in predicate logic

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

Florian

5.0

(15)

Experienced and patient teacher of logic for computer science.

I have taught logic, formal languages and automata theory to undergraduates for six years. My tutoring is adapted to the student's level and goals. Whether you need to learn logic for your studies, or you would simply like to know more about the subject, I will be more than happy to help you improve your understanding and skills.

Logic
The sciences presuppose a certain standard of rationality. An ability to distinguish between correct reasoning and claims that do not follow from the assumptions. In this class we study the basic principles of logic and apply mathematical techniques to the study thereof.
Topics include:
Propositional and Predicate Logic
Syntax and semantics
Natural deduction
Semantic tableaux
Correctness and soundness
Completeness

Formal languages and automata
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
Finite automata, pushdown automata, Turing machines
Regular expressions
Regular grammar, context-sensitive grammar
Pumping lemmas for regular and context-free languages

Baia

5.0

(15)

Want to learn Revit and AutoCAD for engineering and BIM projects?

This course is designed for beginners, university students, and aspiring engineers who want to develop practical skills in electrical design, BIM workflows, and technical drafting.

No previous experience is required.

Students can also receive help with:
- university assignments
- BIM and Revit projects
- technical drawings
- portfolio development
- internship preparation

Lessons are adapted to the student’s level and learning goals.

Mohamed

5.0

(15)

Dive into the world of Python, one of the most powerful programming languages for Data Engineers and Data scientists. With hands-on projects, real-world examples, and engaging lessons, you'll not only learn the fundamentals of Python but also gain the confidence to tackle complex programming challenges.

Dr.Ibrahim

5.0

(15)

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

5.0

(15)

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.

Adam

5.0

(15)

🐍 Python Course – Learn to code and create your projects!

This course is for anyone who wants to:

✅ Learn Python from the beginning
✅ Strengthen their programming skills

📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence

Zakariae

5.0

(15)

This course is aimed at non-Arabic speakers wishing to learn Arabic in a simple, progressive and practical way, while discovering Moroccan pronunciation (darija).
It is accessible to all beginner levels, and requires no prior knowledge.
Through an interactive method, you will learn:
The basics of the Arabic alphabet and correct pronunciation.
Essential expressions for everyday communication.
The construction of simple sentences (present, past, future).
Useful vocabulary: family, food, time, travel, emotions...
An introduction to Moroccan Darija, to understand and speak easily with Moroccans.
The course is suitable for:
Adults, students and travellers.
People wishing to discover Moroccan culture.
Learners seeking patient, clear and motivating support.
I provide :
Structured course materials (PDF + exercises).
Audio recordings to improve pronunciation.
Mini real-life scenarios for practice.
Personalized support to progress with confidence.
📚 Simple, clear and effective method
👨‍🏫 Support tailored to your pace

Raouf

5.0

(15)

Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?

Martin

5.0

(15)

Working part-time in the watch industry, I have been tutoring for several years in the context of refresher, occasional support or preparation of exams or competitions. Very experienced in relation to the difficulties encountered by students and pedagogue, I adapt to the needs of each to quickly regain the necessary confidence, the methodology of mathematical reasoning and allow a rapid improvement of results.
Experienced and pedagogue, I adapt to the needs of the student to help him consolidate his knowledge methodically, to regain confidence and improve as quickly as possible its results. I teach these courses in a radius of 30 km around Geneva.

Mohamed

5.0

(15)

This course is designed for students and professionals who want to learn how to analyze data using the R programming language. You will start with the basics of R, including variables, data types, and simple functions, and then move on to real-world data analysis skills such as data cleaning, visualization, and basic statistics.

By the end of the course, you will be able to work with datasets, create clear and professional graphs, and perform meaningful data analysis for projects, studies, or work.

Ammar

5.0

(15)

Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box.

I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.

This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.

PYTHON PROGRAMMING & COMPUTATIONAL THINKING
• Python installation and development environments
• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
• Debugging and systematic error correction
• Code organization, readability, and good programming practices

SCIENTIFIC COMPUTING, DATA & AUTOMATION
• NumPy for numerical computing
• pandas for structured data manipulation
• matplotlib for visualization
• Scientific and engineering calculations
• Automation of repetitive tasks
• Data processing workflows
• Working with files and external data
• Introduction to APIs when relevant
• Python and SQL workflows
• Research and quantitative applications
• Project development from idea to working solution

MACHINE LEARNING
• Foundations of machine learning
• Supervised and unsupervised learning
• Regression and classification
• Clustering and pattern discovery
• Decision trees and rule-based approaches
• Feature selection and data preparation
• Training, validation, and testing
• Model evaluation and performance metrics
• Overfitting and underfitting
• Bias, variance, and generalization
• Model comparison and interpretation
• Predictive modelling and data mining
• Neural-network foundations

ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
• Bias, privacy, ethics, and responsible AI
• Applications in engineering, research, business, education, and professional decision making

Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools.

My teaching approach follows a clear progression:
understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly

I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.

We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case.

Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.

My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.