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Since November 2017
Instructor since November 2017
Translated by GoogleSee original
Geomatics, Environment, Algorithms, Programming
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From 11.91 € /h
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A Geographic Information System (GIS) is an information system designed to collect, store, process, analyze, manage and present all types of spatial and geographic data. The acronym GIS is sometimes used to define "geographic information sciences" or "geospatial information studies". This refers to careers or occupations that involve the use of geographic information systems and, to a greater extent, that relate to the disciplines of geoinformatics or geomatics. What can be observed beyond the simple concept of GIS relates to spatial infrastructure data
Location
location type icon
Online from Morocco
Age
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
French
Arabic
English
Availability of a typical week
(GMT -05:00)
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
This course aims to learn how to use the tools Microsoft Office 2013-2016 being one of the most used tools in several fields, I propose a training with a pedagogy according to your level to make you progress to reach an advanced level
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Hello and Welcome!

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Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me
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verified badge
By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success.

Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed.

We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency.

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Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

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Secure API key management
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Text analysis features (summarization, sentiment, keyword extraction)
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Cost management strategies (API calls can get expensive!)
Error handling and fallback strategies
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* Support for your personal or professional projects
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⏰ Flexible hours – 1 hour, 1.5 hour or 2 hour sessions
💶 Available packages
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Data science, statistics & mathematics – clearly explained, personally supported.
My name is Kian, an experienced tutor from Bern. I support students, career starters, and professionals on their journey into the data-driven world—whether in their studies, projects, or everyday work.

With my structured, understandable, and motivating approach, I'll help you not only solve problems but also understand data, recognize connections, and make informed decisions. My lessons are personalized, efficient, and at eye level.

Who I am – and why I teach:
I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven.

In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible.

I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms.

-What you can expect from me:
One-to-one lessons with a focus on data comprehension, statistics & analytical thinking
Support with projects, assignments, exams or getting started in the data world
Practical explanations – step by step and adapted to your everyday life
Teaching modern methods for data analysis, modeling & interpretation
Long-term strategies for problem-solving & structured thinking
Flexible lessons in Bern or online – personal, competent & reliable

Why I can help you understand data science:
Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread:
How data tells stories, how you analyze it, and how you make smart decisions.

With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently.
Learn data analysis.
Analyze and model complex data sets – understandable, practical and with structure.
If you're ready to get to grips with data, I'm ready to guide you.
verified badge
This course is designed for complete beginners who want to learn Excel VBA programming from the ground up. Whether you're a student, professional, or freelancer, you’ll learn how to automate tasks, create intelligent macros, design simple forms, and manage data efficiently within Excel.

🔧 What You Will Learn:

The basics of programming: variables, loops, conditions, and procedures.

How to record and edit simple macros.

Automating tasks across cells, worksheets, workbooks, and named ranges.

Creating interactive forms (UserForms) for data entry and display.

Automating repetitive tasks like formatting, reporting, and even sending emails.

Exploring advanced tools: events, error handling, and integration with other applications.

🎯 Who Is This Course For?

Students, employees, or freelancers who work with Excel and want to save time.

Professionals looking to build custom tools tailored to their workflow.

No previous coding experience is required!

🛠️ Course Methodology:

Step-by-step, hands-on learning.

Clear explanations with real-life examples.

Tips on writing clean, understandable, and reusable code.
verified badge
Hello and Welcome!

I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders.

Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings.

Courses Offered

1. Basic Python Programming
This course is designed for beginners who want to build a solid foundation in Python.
Topics include:
Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
Data structures: lists, tuples, sets, and dictionaries
Mini projects and problem-solving exercises

2. Advanced Python Programming
This course is designed for learners who already know the basics of Python and want to explore its advanced features.
Topics include:
Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets
Good-fit Instructor Guarantee
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Contact Iman