Discover the Best Private Statistics Classes in Ar Rifā‘

For over a decade, our private Statistics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Ar Rifā‘, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

1 statistics teacher in Ar Rifā‘

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1 statistics teacher in Ar Rifā‘

(2 reviews)

Naya - Waremme, Belgium115 QAR

115 QARPrivate lesson in Mathematics and Statistics

Trusted teacher: With a Master's degree in Bioengineering with a specialization in Agricultural Sciences, I give private lessons in Mathematics (algebra, geometry, trigonometry, analysis, etc.) and Statistics for primary, secondary and higher education students (college, university, BAC1, BAC2, BAC3). I help with course understanding, setting up worksheets, memory aids and preparing for quizzes/exams.

Math · Statistics

(1 review)

Francisco - Martigny-Ville, Switzerland265 QAR

265 QARMATHS made easy with PhD student in Geophysics with 7+ years experience

Trusted teacher: With 7+ years' experience in education, I have coached over 50 students to improve their academic results and boost their confidence in math and physics. My tutoring services always include a personalized plan for each student. This plan is established during the first session where I like to meet the student, better understand their difficulties and get to know their schedule. In the first session, we will: - Get to know each other. - Understand the student's strengths and identify areas for improvement. - Understand the student's needs and difficulties. - Get to know the student's schedule. - Create a tutoring plan Typically, sessions take place as follows: i. Theoretical review of complex concepts in simple terms ii. Tips for solving problems iii. Abundance of exercises from my databases (exams, exercises) If you are interested in my services, please provide the following information when contacting me: - School system (French Bac, Matu, IB, A-levels) - Location of tutoring (or video tutoring if applicable) - Number of sessions per week and preferred days and times of the week (this can also be discussed after the first session, if you prefer) Check out my profile if you want to know more about me :) See you soon, Francisco

Statistics · Calculus · Math

(4 reviews)

Nikolaos - Thessaloniki, Greece89 QAR

89 QARProgramming and Data Analysis, Matlab, Python, Fortran, SPSS

Trusted teacher: Programming is becoming more and more required both in industry and in research. For some, it can be challenging to grasp the concept of programming, but I believe that with the right guidance, it is absolutely attainable. I have six years of teaching experience at the university level, mostly Matlab, but also Python and Fortran. I also have a strong background in Data Analysis and machine learning and have used a variety of related software, such as WEKA and SPSS. I am comfortable teaching any of the aforementioned subjects.

Computer programming · Statistics

(1 review)

Amine - Paris, France186 QAR

186 QARExpert and experienced Professor: SPSS, R, jamovi, jasp, STATA, hypothesis testing, ANOVA, multivariate analysis, linear/log regression

Trusted teacher: During this course you will learn: ✓ SPSS ✓ R Studio ✓jamovi/jasp/Stata/xlstat ✓ Analyze data for univariate, bivariate and multivariate statistics with SPSS ✓ Simple and multiple linear regression and Logistic regression ✓ Analyze exploratory data, basic statistics and visual displays (Frequencies, exploration function, outliers) ✓ Inferential tests on correlations, counts and means (Calculation of z-Scores in SPSS, Correlation coefficients, A measure of reliability: Cohen's Kappa, Binomial tests, Goodness of fit test, Chi-square , One-sample t-test for a mean, Two-sample t-test for means) ✓ Analysis of variance (fixed and random effects, Running ANOVA in SPSS, The F-test for ANOVA, Effect size, Contrasts and post-hoc tests, Alternative post-hoc tests and comparisons, ANOVA with random effects , factorial ANOVA with fixed effects and interactions, Simple main effects, Analysis of covariance (ANCOVA), Power for analysis of variance) and Repeated Measures ANOVA (One-way repeated measures, Repeated measures in both directions: one between and one in the postman) ✓ Principal Component Analysis (PCA Example, Pearson 1901 Data, Component Scores, Principal Component Visualization, Correlation Matrix PCA) and Exploratory Factor Analysis (The Common Factor Analysis Model, The Problem of Factor Analysis exploratory, Factor analysis of CPA data, Scree Plot, Rotation of the factor solution, Cluster analysis, How to validate clusters) ___________________________________ ✓ My courses are based on exercises with the essentials of the course to remember. ✓ Working method for better understanding. ✓ Working on concrete data which allows the work to be visualized and assimilated more quickly.

Statistics · Math · Economics for students

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Fahd - Beijing, China450 QAR

450 QARTheory and Practice in Research Methodology: A Comprehensive Course for Researchers

Trusted teacher: Welcome to the Research Methodology Course: Theory and Practical Applications! Embark on a comprehensive journey that combines the foundational theories of research methodology with hands-on practical applications. Whether you're a novice researcher or seeking to enhance your research skills, this course is designed to provide you with a holistic understanding of the research process. Course Highlights: * Theoretical Foundations: Explore the fundamental theories that underpin effective research methodology. Understand the philosophies, paradigms, and ethical considerations that guide robust research. * Practical Applications: Dive into the practical side of research with real-world examples and exercises. Develop essential skills in research design, data collection, analysis, and interpretation. * Hands-On Experience: Gain practical experience through research projects, case studies, and interactive activities. Apply theoretical knowledge in real scenarios to reinforce your understanding. * Statistical Techniques: Learn key statistical methods essential for data analysis in research. From basic descriptive statistics to advanced inferential techniques, equip yourself with the tools to derive meaningful insights. * Effective Communication: Master the art of presenting research findings. Enhance your ability to communicate complex research concepts and results to diverse audiences. * Paper Review Sessions: Engage in dedicated paper review sessions, where you will assess and be assessed by your peers. Develop the skill of providing constructive feedback and refining your own work through the valuable insights of others. Who Should Attend: - Students pursuing research projects - Professionals seeking to enhance research skills - Anyone interested in a comprehensive understanding of research methodology Course Format: - Interactive lectures - Practical workshops - Group discussions - Real-world case studies Enrollment Process: - Express Your Interest: Reach out to us to express your interest in the course. - Consultation: Schedule a consultation to discuss your specific learning goals and expectations. - Tailored Learning Plan: Receive a personalized learning plan based on your background and objectives. - Commence Your Journey: Join us in unlocking the world of research methodology, where theory meets practice. Elevate your research capabilities and embark on a journey towards becoming a proficient researcher. Contact us today to start your learning adventure!

Statistics · Methodology course

Lidia - Algeria71 QAR

71 QARBiostatistics and Multivariate Analysis (R, XLstat, XL, Past software)👩‍💼🌠📊📈Decoding Data to Better Understand Science

Trusted teacher: This course provides an in-depth introduction to biostatistical methods and multivariate analyses applied to environmental and biodiversity sciences and biology. It aims to equip participants with the tools needed to analyze and interpret complex data from ecological studies, with an emphasis on the practical application of statistical methods. The topics covered include: ✅ The basics of biostatistics (descriptive statistics, hypothesis testing, statistical inferences) ✅ Multivariate analysis methods (ACP, AFC, RDA, CCA, etc.) ✅ The use of specialized software (R, Python, or others) for visualization and interpretation of results ✅ The application of statistics to biodiversity studies and community ecology Through case studies and practical work, participants will learn how to manipulate real data and extract relevant information for decision-making in environmental sciences. This course is intended for students, researchers and professionals wishing to strengthen their skills in data analysis applied to biological and ecological sciences.

Statistics · Microsoft excel

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William - Accra, Ghana101 QAR

101 QARResearch Methodology Toolkit for Biologists: The Golden Solution to Every Novice Scientist's Dilemma

Trusted teacher: Are you eager to master the foundational principles of research methodology and unlock the tools for solving complex research challenges? This dynamic and practical course is your gateway to becoming a confident and skilled researcher. Packed with engaging lessons, real-world applications, and hands-on activities, you will acquire essential skills to design, execute, and publish impactful research. Whether you are a beginner or looking to enhance your expertise, this course will empower you to confidently tackle research projects and turn your findings into publications that make a difference. Join me and take your research capabilities to the next level! SYLLABUS Module 1: Foundations of Biological Research 🔵 Lesson 1.1: Understanding the Research Process in Biology ◘ Definition and scope of biological research ◘ Types of biological research (basic, applied, translational) 🔵 Lesson 1.2: Identifying Research Questions in Biology ◘ Characteristics of impactful biological research questions ◘ Refining questions for molecular biology, ecology, genomics, etc. 🔵 Lesson 1.3: Conducting a Literature Review in Biology ◘ Identifying relevant biological journals and databases (e.g., PubMed, Web of Science) ◘ Critical analysis of biological papers Module 2: Designing Your Biological Research 🔵 Lesson 2.1: Research Design for Biologists ◘ Experimental vs. observational studies in biology ◘ Designing robust controls and replicates 🔵 Lesson 2.2: Hypothesis Formulation in Biology ◘ Writing testable biological hypotheses ◘ Defining null and alternative hypotheses 🔵 Lesson 2.3: Sampling in Biological Studies ◘ Strategies for collecting biological samples (field and lab-based) ◘ Addressing sample size in population studies and molecular analyses Module 3: Biological Data Collection Techniques 🔵 Lesson 3.1: Experimental Techniques in Biology ◘ Common lab methods (e.g., PCR, Western blotting, microscopy) ◘ Good lab practices (GLP) for reproducibility 🔵 Lesson 3.2: Fieldwork for Biologists ◘ Designing ecological surveys and biodiversity studies ◘ Tools for field sampling (e.g., GPS, quadrats, transects) 🔵 Lesson 3.3: Handling Biological Specimens ◘ Sample preservation techniques for DNA, RNA, and proteins ◘ Best practices for labeling and storage Module 4: Biological Data Analysis and Interpretation 🔵 Lesson 4.1: Introduction to Statistical Analysis for Biologists ◘ Biostatistics fundamentals (e.g., t-tests, ANOVA, regression) ◘ Using R, Python, or SPSS for biological data 🔵 Lesson 4.2: Analyzing Genomic and Proteomic Data ◘ Tools like BLAST, MEGA, and Galaxy for sequence analysis ◘ Basics of bioinformatics workflows 🔵 Lesson 4.3: Interpreting Biological Results ◘ Connecting results to biological hypotheses ◘ Identifying and discussing limitations in biological research Module 5: Writing and Publishing in Biological Sciences 🔵 Lesson 5.1: Structuring a Biological Research Paper ◘ IMRAD format tailored for biological journals ◘ Writing clear and concise methods and results 🔵 Lesson 5.2: Referencing for Biologists ◘ Citation styles in biological sciences (e.g., Vancouver, APA) ◘ Using referencing tools specific to biology (e.g., EndNote, Zotero) 🔵 Lesson 5.3: Publishing in Biological Journals ◘ Identifying target journals (e.g., Nature, Cell, Microbial Genomics) ◘ Addressing reviewer comments Module 6: Ethics and Best Practices in Biological Research 🔵 Lesson 6.1: Ethical Considerations in Biology ◘ Handling live organisms and human samples ◘ Regulatory approvals (e.g., IACUC, IRB) 🔵 Lesson 6.2: Managing Biological Data ◘ FAIR principles (Findable, Accessible, Interoperable, Reusable) for biological data ◘ Data repositories for biology (e.g., NCBI, Dryad) 🔵 Lesson 6.3: Collaboration in Biology ◘ Building interdisciplinary teams (ecologists, geneticists, bioinformaticians) ◘ Leveraging platforms like ResearchGate for biologists Module 7: Practical Toolkit and Case Studies in Biology 🔵 Lesson 7.1: Tools for Efficient Biological Research ◘ Lab-specific tools (e.g., electronic lab notebooks, ELNs like LabArchives) ◘ Visualization tools (e.g., GraphPad Prism, BioRender) 🔵 Lesson 7.2: Case Studies in Biological Research ◘ Genomic studies on antimicrobial resistance pathogens ◘ Population studies in biodiversity hotspots ◘ Analyzing molecular mechanisms in model organisms

Writing · Statistics · Biology

Pedro - Amsterdam, Netherlands150 QAR

150 QARPrivate Math and Economics Tutoring for All Levels

Trusted teacher: Hello, my name is Pedro. I have a degree in Mathematics and Economics and I work in the banking sector in Amsterdam. I offer private lessons in mathematics and economics for high school and university students. Sessions are tailored to your needs, whether it's solving problems, preparing for exams, or strengthening your understanding of the material.

Math · Economics for students · Statistics

(1 review)

Stephen A. - Amsterdam, Netherlands265 QAR

265 QARMaster's student in mathematics brings you closer to a 10. Online help possible.

Trusted teacher: I believe anyone can learn math. And with an average rating of 8.5 for my exam training at, among others, lyceo, I have experienced a lot of others doing the same. We usually start with some (simple) exercises around the subject to gauge your understanding. This way I can construct a tailor-made approach that guarantees you will see the light. There are, of course, no real guarantees in education. But I can guarantee that after every hour of tutoring, you will be a little closer to the math genius that you really are. In addition, in the past two years, I have gained a lot of experience in online education. I now have a drawing tablet, an iPad, and an external microphone (worth 300 euros) to be able to deliver the best experience online. All levels are welcome, all ages. bring it on!

Math · Statistics · Algebra

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(5 reviews)

Wouter - Bilzen, Belgium133 QAR

133 QARSTATISTICS & MATHEMATICS tutoring for 1st grade from secondary school to university

Trusted teacher: I obtained an academic bachelor's degree in Mathematics with distinction and a master's degree in Data Science & Biostatistics with great distinction from Hasselt University. I have a theater degree and am a former leader of the scouts (so I have some experience with children). Furthermore, I have been teaching classrooms as a full-time mathematics teacher in the 3rd grade for some time. I am currently a statistical consultant at the DSI at Hasselt University. I see too many children who have an unnecessarily difficult time with math. I personally see all this happening due to a lack of applications in everyday life. I want to change this by showing them these applications and explaining it all a bit more easily. I will first take a general look at where the problems are and then continue to specifically address them until they are resolved.

Math · Science · Statistics

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(1 review)

Layane - Montreal, QC, Canada69 QAR

69 QARMathematics Tutor (ALL LEVELS~ Highschool To Masters)

Trusted teacher: My goal is to prepare students for a deep understanding of the topics they want to improve by solving exercises together, assigning homework, and explaining the real-life context around mathematical problems to motivate the student. Mathematics is the language of the universe, and like any other language, it takes practice, practice, and practice. I believe that anyone, with enough practice, can master mathematics. I teach mathematics at the high school level (grades 6-12), undergraduate level, and master's level for engineering programs. I have experience in teaching different subjects including - Algebra - Geometry/Trigonometry - Topology - Differential equations - Linear algebra - Numerical calculation - Numerical linear algebra - Analysis - Probability theory and statistics Teaching methodology: 1 - I get to know the student and what he hopes to gain from the courses. 2 - After about 2 sessions, I become familiar with the student's way of thinking, their weaknesses and strengths. Each student has a unique way of thinking and processing information, and based on this, lessons are personalized to meet their respective needs. Note: Prepare your lecture notes or conference materials and send them before our sessions!

Statistics · Calculus · Math

(5 reviews)

Ahmed - Brussels, Belgium292 QAR

292 QARStatistics Courses By a University Professor

Trusted teacher: In order to support students who encounter difficulties in statistics, remedial sessions on descriptive statistics and inferential statistics are offered in particular on: confidence interval, statistical hypothesis test, Paired data or not? "Normal" or not? Parametric and non-parametric tests, Confidence interval and "number of subjects needed" in estimating a proportion, Also the analysis of your thesis data (linear / logistic regression, anova, t-tests, principal component analysis, repeated measures, mixed models, time series, panel analyzes, fixed and random effects models, survival analysis, SEM, ...). Do you need to be accompanied to motivate you? I offer lessons to see or review together a chapter, a theme or others ... During these remediation sessions, I offer you various activities (Q&A sessions, resolution of standard exams, revision of concepts more difficult to integrate, etc.) which help students to fill in the gaps identified in previous courses. Passionate about mathematics and quantum physics, juggles with statistics on a daily basis in my BIGDATA research work, demystifies this test by the precise approach of the subjects via an adapted teaching whose key words - study methodology, - reasoning, and especially learning to reason differently - analysis and response strategies, - targeting of the problem - implementation of the link between theory and practice

Statistics

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Ashington - Kenya77 QAR

77 QARSTATISTICS AND STATISTICAL METHODS FOR STUDENTS AND PROFESSIONALS

Trusted teacher: This class covers statistics and statistical methods for data analysis which cuts across all industry and disciplines. Sample topics, Statistical calculations Statistical methods Statistical analysis Quantitative analysis Quantitative analysis techniques Non Quantitative data analysis Research methods Research methods paper section Mathematical analysis Statistical software and spreadsheets like Rsutdio, Excel, SPSS, and many others. and any statistical topic requests by students

Microsoft excel · Database · Statistics

Emma - Groningen, Netherlands128 QAR

128 QARMath & Statistics tutoring for school & university students

Trusted teacher: Hi! :) Looking for help with math or statistics? I offer personalized tutoring with 4 years of experience guiding both school and university students. With a master's degree in psychology, I understand how to tailor sessions to your unique learning style, making complex topics easier to grasp. Whether you're preparing for exams or tackling difficult concepts, I'll help you boost your confidence and improve your skills. All levels are welcome!

Math · Statistics

(1 review)

Himani - Ireland204 QAR

204 QAREconomics , Mathematics and Statistics class for all

Trusted teacher: My approach is to explain concepts using simple explanations with daily life examples. I love discussion-based teaching. I have taught Game Theory to Students as a tutor at University College Dublin. Also, I am taking personal tuitions for many years in India. I have worked in Evelyn Learning Pvt Limited, India as a Statistics Solver. I used to provide solutions to statistical problems and exercise. I have a pretty well experience of teaching.

Economics for students · Economics for adults · Statistics

Haris - Amsterdam, Netherlands133 QAR

133 QARAre you struggling with statistics or probability theory? It may seem like the odds are against you, but I’m here to help!

Trusted teacher: I’m Haris, a 28-year-old with a passion for teaching. Born and raised in the Netherlands, I hold both a Bachelor’s and a Master’s degree in Artificial Intelligence. You can count on me to help you with math, specifically statistics, probability theory, and linear algebra. I’m also familiar with propositional logic, Machine Learning (theory and programming), NLP theory, and programming in Python or JavaScript. I am fluent in both Dutch and English, which means I can provide tutoring in either language. If you’re interested in learning Dutch, I can help with that too! During my time as a student, I tutored others and developed a love for teaching. Now, I’m eager to pick it up again. I am patient, empathetic, and take pride in explaining complex topics in a clear, intuitive way. I believe that knowledge should be accessible, and I strive to simplify concepts that are often made unnecessarily complicated. I hope I’ve piqued your interest, and I look forward to helping you achieve your learning goals!

Statistics · Logic · Math

(2 reviews)

Arthur - Marseille, France115 QAR

115 QARMathematics for all levels, from highschool till Graduate STEM majors.

Trusted teacher: Hey all, I am a Mathematics PhD student based in France, offering one-on-one Mathematics tutoring sessions for all levels (from highschool students till Master Degree STEM students). I hold a part time Lecturer position at Aix-Marseille University since 2019, and I have over 10 years of experience tutoring. It should be noted that since 2019, I have given hundreds of online classes on Zoom, and hence built an experience teaching online too. Some of the subjects I teach involve Statistics, Algebra, Calculus, Probability Theory and many more. I speak 4 languages fluently, so you can be sure communication won't be an issue.

Math · Statistics · Algebra

Eng. Anas - Dubai, United Arab Emirates64 QAR

64 QARCivil Engineering Courses, Calculus, and Statistics

Trusted teacher: In the civil engineering course, the student learns all the specialized subjects and works to communicate the information in a simplified manner and by all available means. In the calculus course, students learn the basics of calculus for functions of one variable. These ideas will also be applied to a wide range of problems to improve students' ability to think critically, to analyze the problem and to solve it using a wide range of tools. In the statistics course, an elementary introduction to statistics, where it focuses on the most important elements of statistics, which is descriptive statistics, with the aim of deepening students’ abilities to solve some statistically economic problems and problems and overcoming them by learning the concept of data collection, organization and analysis using statistical measures, in addition to understanding statistical models and how to estimate them using regression and forecasting methods. It deals with different phenomena using time series, in addition to drawing policies using index numbers to help students acquire skills and abilities to analyze in an easier, faster and more accurate manner.

Calculus · Statistics · Math

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Anna - Saint-Sulpice, Switzerland597 QAR

597 QARMatLab Programming for all levels/data science and statistics

Trusted teacher: MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models. I professionally program in MatLab since 2005 and propose classes for all levels and requirements.

Computer programming · Statistics

Irini - Manchester, United Kingdom211 QAR

211 QARResearch skills for Psychologists: conducting research from conception to dissemination.

Trusted teacher: Structured, analytical thinking, data analysis skills and lots of creativity contribute to high-quality research, expanding our understanding on the fascinating field of psychology. As an experienced research associate in the field of psychotherapy (NHS, UK) with an MSc in Health Psychology, I am keen to share my knowledge and skills with you, to improve: - Organisation skills & critical thinking (i.e. planning, literature review, goal-setting) - Quantitative & Qualitative data collection and analysis - Statistical tests: when & how to use (ANOVA, regression, mediation/moderation) using SPSS and R’ language - APA reporting, thesis write-up, academic writing - Presentation skills: structuring and delivering creative and engaging presentation Research is curiosity in action!

Psychology (for students) · Statistics · Presentation skills

Abdeljalil - Casablanca, Morocco167 QAR

167 QARStatistics and Probability for all levels of higher education

Trusted teacher: 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.

Math · Statistics · High school entrance prep

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Bora - Muratpaşa, Turkey225 QAR

225 QARPreparation course for Sat mathematics examination

Trusted teacher: Sat math test includes 3 main part. Problem Solving and Data Analysis is about being quantitatively literate. It includes using ratios, percentages, and proportional reasoning to solve problems in science, social science, and career contexts. The Heart of Algebra focuses on the mastery of linear equations and systems, which helps students develop key powers of abstraction. Passport to Advanced Math focuses on more complex equations and the manipulation they require.

Calculus · Geometry · Statistics

(2 reviews)

Srinivas - Netherlands204 QAR

204 QARStatistical Analysis, Data analytics, Data science

Trusted teacher: I specialize in teaching statistics, Python, Data science. This class is for Phd (final year) thesis writing with analysis, Data science aspirants. All the courses will be taught in layman's language. The course will be easy for even college student.

Statistics · Python · Computer modeling

الدكتور غدير - Jeddah, Saudi Arabia120 QAR

120 QARStatistics for Master's degree and Bachelor's, and doctorate degree

Trusted teacher: 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.

Business accounting · Statistics · Arabic

Tarik - Rabat, Morocco103 QAR

103 QARCourses in Statistics, Econometrics and Applied Economics

Trusted teacher: Hello, I am an experienced teacher and I hold a Bac+5 in statistics and applied economics. I offer support and accompaniment courses (remotely or at home) in Rabat, Kenitra and nearby towns in the following areas: - Probability, statistics, econometrics (linear regression, econometrics of time series and panel data) - Economics: micro-economics, macro-economics and general economics (for baccalaureate students) and other subjects in applied economics for higher education. - Accounting and management: general, analytical and company accounting. Financial analysis and management. (Bachelor's program also included). - Training in software specialized in statistics and modeling: SPSS, Stata, Eviews, R, ... python and Matlab.

Economics for students · Economics for adults · Statistics

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To ensure the quality of our Statistics teachers, we ask our students from Ar Rifā‘ to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 26 reviews.

Private lessons of statistics in other countries

Map

Discover the Best Private Statistics Classes in Ar Rifā‘

For over a decade, our private Statistics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Ar Rifā‘, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

1 statistics teacher in Ar Rifā‘

1 statistics teacher in Ar Rifā‘

Our students from Ar Rifā‘ evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from Ar Rifā‘ to review them.Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 26 reviews.

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Private lessons of statistics in other countries

To ensure the quality of our Statistics teachers, we ask our students from Ar Rifā‘ to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 26 reviews.