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Support and assistance in the development of dissertations and PFE (statistical and modeling part)

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Do you need to complete the statistical modeling part in your dissertation or pfe? Do you find it difficult to analyze and interpret the results found? Do you need help using statistical analysis software (SPSS, R, Eviews, etc.)?
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DO NOT PANIC ...
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Support sessions are at your disposal to help you carry out your modeling parts via statistical analysis tools (methodologies and software) and according to the correct rules for interpreting the results (analysis of data tables, statistical tests, linear regression, logit/probit models, time series, etc.)

Location

Online via webcam
At student's location: Around Casablanca, Morocco

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General info

Age:
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

About Me

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** WHO AM I ?
- Permanent university professor of applied mathematics, notably in Statistics, probability and theory and practice of statistical modeling (econometrics, time series analysis, data analysis).
- State engineer statistician by training.
- Bachelor of Science in Applied Mathematics.
================================================ ==
** PROFESSIONAL EXPERIENCE :
- Mathematics support courses (1st and 2nd baccalaureate) since 2011.
- Part-time professor (General statistics, estimation and sampling, data analysis) for 4 years as a PhD student.
- Co-supervisor since 2018 of a dozen end-of-study projects.
================================================ ==

** DEAR STUDENT, YOU ARE:
- University student (L1, L2, L3, DEUG, DEUST, DUT, License or Master).
- Engineering student (preparatory cycle, engineering cycle).
- In the preparation phase for competitions for access to professional, master's or expertise licences.
- In the preparation phase of your dissertation, PFE.
- Thesis doctoral student.

** I PROPOSE THEN:
- Face-to-face or online support courses on statistics, probability, econometrics, time series analysis, data analysis.
- Rigorous and comprehensive preparation for partial and final exams.
- Solid preparation for competitions for access to pro licenses, masters and expertise through targeted review sessions that meet the theoretical and practical skills required.
- Permanent support in the development of your dissertations, PFE and thesis projects. (Proposal of topics, Development of the problem, Structure of the report).
- A practical follow-up of your numerical simulations and empirical studies on the various data processing software (SPSS, REVIEWS, ..).

Education

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PhD in mathematical statistics. State Engineer Statistician. Degree in Applied Mathematics. Bachelor of Mathematical Sciences.
PhD in mathematical statistics. State Engineer Statistician. Degree in Applied Mathematics. Bachelor of Mathematical Sciences.

Experience / Qualifications

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Permanent university professor, State engineer statistician.
Permanent university professor, State engineer statistician.
Whatever your discipline and whatever your level of higher education, a course in statistics and probability is mainly present in the architecture of your training. You are therefore expected to assimilate and master a set of statistical and probabilistic notions of theoretical and practical aspects in order to pass your partial and final exams. I designed this course according to a global and rigorous perspective so that it is the most adapted to the different levels by including the maximum of the fundamental notions commonly used.

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12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
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from $50.03Online via webcam
from $50.03At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since February 2022
  • Phone number verified

Availability of a typical week

(GMT -04:00) New York
MonTueWedThuFriSatSun
0              
1              
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10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
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from $50.03Online via webcam
from $50.03At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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