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LaTeX : Rédaction d’Articles Académiques et Thèses
From 13.06 £ /h
Ce cours est conçu pour vous guider étape par étape dans la rédaction de documents académiques professionnels avec LaTeX. Vous progresserez à travers les modules suivants :
1️⃣ l’environnement LaTeX et
Installer les logiciels et éditeurs nécessaires.
2️⃣ Mise en forme et structure du document.
3️⃣ Tableaux, figures et graphiques.
4️⃣ Rédaction des équations et formules
Numérotation et références des équations
5️⃣Utilisation de BibTeX pour la bibliographie
1️⃣ l’environnement LaTeX et
Installer les logiciels et éditeurs nécessaires.
2️⃣ Mise en forme et structure du document.
3️⃣ Tableaux, figures et graphiques.
4️⃣ Rédaction des équations et formules
Numérotation et références des équations
5️⃣Utilisation de BibTeX pour la bibliographie
Location
Online from Algeria
About Me
Passionate about computer science and applied mathematics, I hold a Master's degree in Artificial Intelligence. My teaching approach is based on complex concepts; whether solving mathematical problems or mastering Python programming, I enjoy sharing my knowledge in a practical and concrete way. I adapt my methodology to the student's needs, whether they are a curious beginner or a student looking to refine their technical skills.
Education
Master of Science (M.Sc.): Artificial Intelligence, Systems and Knowledge - University of Ghardaïa (Graduated in 2019).
BSc Degree: Informatics Systems - University of Ghardaïa (Graduated in 2017).
Certifications: Professional certificates in Data Science (IBM) and Data Analytics (Google).
BSc Degree: Informatics Systems - University of Ghardaïa (Graduated in 2017).
Certifications: Professional certificates in Data Science (IBM) and Data Analytics (Google).
Experience / Qualifications
Data Analyst & Mentor: Experience in technical mentoring for start-ups on data acquisition and strategic planning.
Python Expertise: Advanced use of Python for data analysis, machine learning, and AI.
BI tools trainer: Facilitating workshops on Power BI and MS Excel for professional teams.
Statistical Analysis: Mastery of mathematical and statistical methods applied to real-world projects.
Python Expertise: Advanced use of Python for data analysis, machine learning, and AI.
BI tools trainer: Facilitating workshops on Power BI and MS Excel for professional teams.
Statistical Analysis: Mastery of mathematical and statistical methods applied to real-world projects.
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
English
Arabic
Skills
Availability of a typical week
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Are you a STEM student or researcher? Do you need to conduct rigorous analyses for your studies or publications? Join our intensive training program designed to support you.
Training program:
The Fundamentals of R: Installation, syntax and basic structures.
Data manipulation: Proficiency in essential packages (Tidyverse, dplyr).
Data Visualization: Creation of professional and impactful graphs.
Statistical Analyses: ANOVA, Linear Regressions, Statistical.
Multidimensional Methods: PCA (Principal Component Analysis) and Clustering.
session composition:
✅ Practical approach based on real cases.
✅ Personalized support for your research projects.
Training program:
The Fundamentals of R: Installation, syntax and basic structures.
Data manipulation: Proficiency in essential packages (Tidyverse, dplyr).
Data Visualization: Creation of professional and impactful graphs.
Statistical Analyses: ANOVA, Linear Regressions, Statistical.
Multidimensional Methods: PCA (Principal Component Analysis) and Clustering.
session composition:
✅ Practical approach based on real cases.
✅ Personalized support for your research projects.
I offer training in Algorithms and Python programming for students and beginners.
Level 1: variables, logical syntax, balls, blocks and functions.
Level 2: packages, file processing, graphical presentations (dashboard).
Level 1: variables, logical syntax, balls, blocks and functions.
Level 2: packages, file processing, graphical presentations (dashboard).
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