Statistics for Master's degree and Bachelor's, and doctorate degree

Àpd 45.81 C$ /h

The Statistics class is designed to provide students with a comprehensive understanding of statistical concepts and their practical applications. Throughout the course, students will learn how to collect, analyze, and interpret data using various statistical techniques. Topics covered include probability, hypothesis testing, regression analysis, and data visualization. Students will also gain proficiency in using statistical software to perform data analysis. This class is ideal for students who are interested in fields such as data science, economics, psychology, and social sciences, as well as those who plan to pursue further studies in statistics or related disciplines. By the end of the course, students will have a solid foundation in statistical reasoning and be equipped with the skills necessary to critically evaluate and draw meaningful conclusions from data.

Informations supplémentaires

No extra tools nedded

Lieu

Utilisez Ctrl + molette pour zoomer !

Cours au domicile de l'élève :

Autour de Dschidda, Arabie saoudite

En ligne depuis Arabie saoudite

Présentation

My ph.D. certificate was reviewed and be accepted by World Education
System in Canada
First: Teaching:
-Practical Course : General Management of the Budgets at Tishreen UNIV, in the Faculty of
Economics for 2008/2009.
-Practical Course : Operation Research at Tishreen UNIV, in the Faculty of Economics for
2009/2010 .
-Practical Course : Principle of Statistics at Tishreen UNIV, in the Faculty of Education for
2011/2012 .
-Practical Course : International Funding at Tishreen UNIV, in the Faculty of Education for
2015/2016

Education

All Credentials were reviewed and be accepted by World Education System in Canada
-2015: Ph degree in Economics with Excellent esteem, department of Statistics and
Programming, Tishreen UNIV in Syria of an titled "The Use of Mathematical models in
study of factors affecting the planning of labor force in Syria".
-2011: Master's degree in Economics with Very Good esteem, department of Statistics and
Programming Tishreen UNIV in Syria of an titled "Planning of Human Resources within
the framework of regional planning".
-2007: Bachelor's degree in Economics with Very Good esteem at Tishreen UNIV in Syria.

Expérience / Qualifications

Scientific research published:
-2010 obtaining the approval of publication of an article entitled "Planning of Human
Resources in Syria and its role in Development".
-2012 obtaining the approval of publication of an article entitled "Economic Growth in Syria
and its Reflection on Employment during the period 2002 to 2009 Using the Manpower
Flexibility Model (MPEM)".
-2013 obtaining the approval of publication of an article entitled "Optimal distribution of
labor force on economic sectors in Syria during the period 1995-2010 using linear
programming method".
-2014 obtaining the approval of publication of an article entitled "Applying Factor Analysis
for studying the Most Important Factors Economic Affecting the number of Employers within
Period 2000 to 2009 in Syria".
STATISTIC & ECONOMIC EXPERINCE:
- Supervision of data analysis for a number of researchers in the fields since 2014-2017:
1. Financial and Banking Sciences, Accounting including accounting
disclosure indicators.
2. Algorithms Mathematical function for the accounting department as
well.
3. Urban Planning – Faculty of Architecture Engineering.
4. Analysis of microbial data, blood composition change, for students in
the Faculty of Agriculture, Higher studies.
5. Analysis data, for student in faculty of Medicine in the years of
specialization.
6. Preparing of experimental studies, filled and applied and case study
for all specialties (Economics, Agriculture, Architecture, Medicine,
Dentistry).

Age

Enfants (7-12 ans)

Adolescents (13-17 ans)

Adultes (18-64 ans)

Seniors (65+ ans)

Niveau du Cours

Débutant

Intermédiaire

Avancé

Durée

45 minutes

60 minutes

Enseigné en

arabe

anglais

Compétences

Arabe

Arabe pour adultes

Scolaire

Comptabilité d'entreprise

Statistiques

Disponibilité semaine type

(GMT -05:00)

New York

Cours par webcam

Cours à domicile

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Python for statistical Analyst and learning basic of Descriptive statistics

196.2 C$ /h

Its available to learn spss and pytgon and eviews throught of statistical methods
You can learn
Random forest algorithm
Deciesion tree models
SVR
SVC
Linear regression models
How to train your data
How to determine the optimal model
What if you need analysis data
We can help

Statistics - descriptive analysis - parametric tests - non-parametric tests

45.81 C$ /h

You will learn the principles of statistics and how to use statistical methods in your research if you want to obtain a master's or doctorate degree, or you are a student who needs to pass the course with a high achievement mark
expected outcomes:
The student will be able to fully understand the concept of statistics
The researcher will be able to get acquainted with the mechanism of using statistics in his research professionally
In addition to a definition of the most appropriate method for his research

Abdou

📊 Introduction to Data Science with Python
Full Title: Statistics, Data Visualization, and Machine Learning for Beginners
(100% online course – for students, professionals in retraining, or curious data enthusiasts)

Data science is now at the heart of the most innovative professions and strategic decisions in all sectors. However, when you're just starting out, you can quickly feel overwhelmed by technical jargon, Python libraries, or statistical models.

With this course, my goal is to make this exciting discipline understandable and accessible to everyone, even without advanced mathematical training or computer science background.

I offer step-by-step support based on practical experience, concrete projects, and a supportive teaching approach. You'll learn how to manipulate data, extract information from it, and create your first machine learning models with ease.

🎯 Course objectives
Discover the basic tools of Data Science with Python

Understand and apply the fundamental concepts of exploratory statistics

Know how to manipulate, clean, visualize and interpret real data sets

Carry out initial predictive modeling (linear regression, classification)

📚 Course content
✔ Fundamental libraries in Data Science
– pandas: reading, cleaning and transforming data
– numpy: mathematical operations and array manipulation
– matplotlib & seaborn: clear and aesthetic data visualization
– Getting Started with Scikit-Learn for Machine Learning

✔ Data cleaning and analysis
– CSV file import and data mining
– Management of missing values and duplicates
– Creation of variables, filtering, groupings
– Visualization: histograms, curves, heatmaps, boxplots...

✔ Introduction to Machine Learning
– Understand how linear and logistic regression work
– First classification models (KNN, simple decision trees)
– Data separation (training/test set), single cross-validation
– Interpretation of results and improvement of the model

🧭 How the sessions work
1️⃣ Assessment of the student's objectives: discovery, professional project, preparation for training, etc.
2️⃣ Personalized progression plan, adapted to the starting level.
3️⃣ Alternation of visual theory and intensive practice on real data sets (health, sports, finance, etc.).
4️⃣ Practical mini-projects at each stage: analyzing survey results, predicting simple results, automating analyses.
5️⃣ Explanation of errors encountered, individualized educational monitoring.
6️⃣ Regular assessment, with reinforcement of key points as needed.

🌐 100% online courses – accessible teaching methods
Classes via Zoom, Google Meet, or the tool of your choice

Live screen sharing, work on interactive notebook (Jupyter or Google Colab)

PDF supports + commented code provided after each session

Possibility of intensive coaching for training or an interview

Flexible hours, adapted to the time zone of the Gulf countries and your availability

👨‍🎓 For whom?
Complete beginners in Data Science and Python

Students wishing to enrich their profile with practical skills

Professionals retraining for data professions

Anyone curious about understanding the world through data!

This course has been designed so that each participant can progress at their own pace, develop their analytical logic and discover the pleasure of "making the data speak".

Feel free to contact me to discuss your goals and build a customized program together. I would be delighted to accompany you on this wonderful adventure that is data science.

Abdou

Garantie Le-Bon-Prof

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