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LaTeX: Academic Article and Dissertation Editing
From 17.79 $ /h
This course is designed to guide you through editing professional academic documents using LaTeX. You can progress through the following modules:
1️⃣ LaTeX environment
Install the necessary programs and editors.
2️⃣ Mise information and structure of the document.
3️⃣ Paintings, models and drawings.
4️⃣Reaction of equipment and formulas
Equation numbering and references
5️⃣Use BibTeX for bibliography
1️⃣ LaTeX environment
Install the necessary programs and editors.
2️⃣ Mise information and structure of the document.
3️⃣ Paintings, models and drawings.
4️⃣Reaction of equipment and formulas
Equation numbering and references
5️⃣Use BibTeX for bibliography
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
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session composition:
✅ Practical approach based on real cases.
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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.
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Level 1: variables, logical syntax, balls, blocks and functions.
Level 2: packages, file processing, graphical presentations (dashboard).
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