Foundation of Data Science -- For Beginners students.

From 28 Fr /h

Hi Students,

Foundation of Data Science is for complete Beginners.

This course is In-depth knowledge and hands-on tools to use and work with different kinds of data. Gaining practical experience across the data science pipeline by acquiring proficiency in the data science coding language R.

Foundations of Data Science is for those who work with both structured – spreadsheets and data tables – and unstructured data and who need to understand how to automate data to gain insights, contribute to strategic discussions and make data-driven decisions.

With my Course you’ll gain a broad understanding of the tools and techniques used to work with data.

1. What is Data: Learn about data types, structures and frameworks

2. Interacting with Data: Understanding how data is used and how to use data

3. Where Data comes from: The processes for acquiring and sharing Data

4. Storing & Structuring Data: Working with different types of databases and data sets

5. Cleaning Data: Working with messy or incomplete data sets

6. Analyzing Data: Gaining insights with data science techniques and tools

7. Visualizing Data: Best practices and tools for data visualization and presentation

8. Machine Learning & Artificial Intelligence: How data is used by machines

9. Working as a Data Scientist: What do data scientists really do?

10. Data & Society: Ethics and the uses of data in society

Extra information

Laptop is needed :)

Location

Online from Switzerland

About Me

Hi Learners,

I am Noshima and I am a Software engineer working. I work in technology firm and have experience of 5 years. Along with my work since last 6-7 years I am teaching my students through online platform as my hobby and as my passion to share knowledge as much as I can in order to benefit my student.

See you in my CLASS.

Education

Degree - B.Tech in Computer Science.
Graduation Year - 2015
GDPA - 8

Certification in Data Science from EPFL Switzerland.
Year - 2022.2023
Score - Pass with all project submission

Teaching experience of more than 7 years.

Experience / Qualifications

Qualification - Bachelor in Technology.
Experience - more than 5 years

Worked in USA companies Project for more than 3 years.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Student level

Beginner

Duration

45 minutes

The class is taught in

English

French

Skills

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

Programming for Everybody - Basics of C/C++ Programming

26 Fr /h

This course aims to teach everyone the basics of programming computers using C/C++. We cover the basics of how one constructs a program from a series of simple instructions in C/C++. The course has no prerequisites and avoids all but the simplest mathematics.

Will share handwritten notes pdf after every class.

The Ultimate Confidence Course - claim your inner power

29 Fr /h

With this course you will get to learn following things -

Build natural, long-lasting confidence.
Overcome low self-esteem.
Tap into your Best Self.
Use the power of NLP & Hypnosis to become supremely self-confident.
Create a positive and empowering Self-image.
Cultivate a strong sense of self-belief.
Develop a "quiet" Confidence.
Learn about the multi-layered nature of Confidence.
The Success Tunnel Technique to boost confidence, self-esteem & self-belief.
The Self-image Multiplier Technique.
How to use Psychological Mentoring to become more confident than you can imagine.
How to let go of social anxiety.
How to become more confident in social situations.
How to become more socially skilled.

Robert

4.74

(27)

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.

Reza

4.74

(27)

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! :)

Salah

4.74

(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.

Amine

4.74

(27)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Florian

4.74

(27)

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

4.74

(27)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Vincent

4.74

(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

4.74

(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

4.74

(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.

Mariem

4.74

(27)

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.

Zakariae

4.74

(27)

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

Laith

4.74

(27)

The terminal isn't scary, it's your superpower. Learn Linux the practical way and start working like a pro.

I work with Linux daily, running servers, analyzing logs, automating tasks with scripts, and securing systems for government, financial, and telecom organizations. I'll teach you the commands and habits that actually get used on the job. No boring theory dumps, just live, hands-on practice.

You'll learn:

Linux basics: the file system, users, and how everything fits together
Essential commands for navigating, creating, copying, searching, and editing files
Permissions and ownership: chmod, chown, sudo, and staying safe as root
Processes, services, and package management (apt, systemctl, and more)
Text processing and log analysis with grep, awk, sed, and pipes
Networking commands and remote access with SSH
Bash scripting basics to automate your everyday tasks

Perfect for: beginners, students, career changers, developers, IT staff, and anyone preparing to learn cybersecurity, DevOps, or system administration.

You'll walk away with the confidence to work in any Linux terminal, the ability to automate repetitive tasks, and a solid foundation for IT, cybersecurity, or development careers.

No experience needed, just curiosity and a computer. Book your first session and let's open the terminal!

Laroussi

4.74

(27)

Session 1: Revolutionizing your Scientific Writing with LaTeX & AI
Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI**

First Hour: Foundations and Cloud Environment (60 min)

1. Introduction to LaTeX Philosophy (15 min)

- The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form.
- Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge.
- The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text).

2. Immersion in Overleaf (25 min)

- Configuration:** Creation of an account and first project "Blank Project".
- Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right).
- Real-time collaboration:** How to share a project and leave comments (like on Google Docs).
- History and versions:** How to revert to a previous version in case of a compilation error.

3. Practical Workshop: My First Document (20 min)

* Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation of the document and observation of the result.
* Structuring: Use of `\section` and `\subsection`.

Second Hour: Mathematics and the Magic of AI (60 min)

4. The Power of Mathematics (20 min)

- Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`).
- Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`.
- Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering.

5. From hand to screen: AI at the service of LaTeX (30 min)

- Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code.
- Concrete demonstration:
1. Take a picture of a complex handwritten formula (e.g., an integral with matrices).
2. Use AI to generate the corresponding LaTeX code.
3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf.

6. Conclusion and Q&A (10 min)

* Summary of achievements.
* Resources for further exploration
* Definition of the exercise for the next session.

Mariam

4.74

(27)

Beginner-Friendly AI & Python Programming Course 🤖🐍

Curious about Artificial Intelligence (AI) and how computers learn, solve problems, and follow instructions? This course is designed for beginners who want to explore the exciting world of AI and programming in a simple, fun, and practical way!

No previous programming experience is required. We’ll start with the basics and gradually build your understanding through clear explanations, relatable examples, hands-on exercises, and small projects.

What you’ll learn:

Introduction to AI: Discover what artificial intelligence is and how we use it in everyday life.

AI in the real world: Explore AI tools, applications, and careers that use AI.

Introduction to Python: Learn one of the most popular programming languages from the ground up and develop a new skill.

Programming fundamentals: Understand variables, data types, conditions, and other essential concepts.

Algorithms and problem-solving: Learn how to break problems into smaller steps and turn ideas into code.

Machine Learning vs. Deep Learning: Get a beginner-friendly introduction to how computers can learn from data.

Practical exercises and mini-projects: Apply what you learn and build confidence through hands-on practice.
and more to come!

Lessons can be adapted to your current level, learning goals, and pace. Individual and group sessions are welcome!

عبدالرحمن

4.74

(27)

A comprehensive course in Linear Programming and Linear Optimization, based on the renowned reference:

Bertsimas, D., & Tsitsiklis, J. N. (1997). Introduction to Linear Optimization. Athena Scientific.

The course covers the first five chapters in their entirety, forming the foundation upon which everything that follows in mathematical improvement is built. The concepts are explained in clear Arabic with step-by-step solved examples, illustrations, and practice exercises.

The five lectures:

Lecture 1 — Introduction to Linear Optimization:

What is optimization? And why do we need it?

Variables, decisions, functions, and constraints

The general formula for linear programming

Standard Form

Reducing any issue to the standard formula

Piecewise Linear Convex Functions

Graphing and solution

Fundamentals of Linear Algebra

Analysis of algorithms and number of operations

Lecture 2 — Linear Programming Basics (LP Basics):

Practical examples: food issues, production, scheduling, networks, pattern classification

Converting problems to standard format

Remove free variables

Slack and Surplus variables

convex and concave functions

Absolute values in objective functions

Graphical solution in 2D and 3D

The five possible solutions

Lecture 3 — Geometry of Linear Programming (LP):

Polyhedron and Polytope

Hyperplanes & Halfspaces

Extreme Points

Vertices

Basic Feasible Solutions

Active Constraints

Degeneration

The presence of extreme points

Visual examples in 2D and 3D

Lecture 4 — The Simplex Method:

Optimality Conditions

Reduced Costs

Development of the Simplex algorithm

Simplex Tableau

Pivoting

The Revised Simplex Method

Cycling and how to avoid it

Bland's Rule

Finding a basic, possible, initial solution

Two-Phase Simplex Method

Big-M Method

Mathematical aptitude and average behavior

Klee-Minty cube

Lecture 5 — Duality Theory:

The original (Primal) and dual problem

The relationship between variables and constraints

Weak Duality Theory

Strong Duality Theory

Conditions for Complementary Slackness

Dual variables as marginal costs

Shadow Prices

Dual Simplex Method

Geometric interpretation of duality

Applications in Economics and Finance

Advantages:

🎯 Explanation based on an accredited academic reference

📐 Illustrations for each geometric concept

🧮 Solved examples with numbers

💻 Examples in Python using gurobipy

📊 Comparison tables between different formulas

🔗 Linking theory to practical applications

📝 Exercises at the end of each lecture