facebook

Find the Best Online Statistics Tutors & Teachers for Private Lessons

For over a decade, our private Statistics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons online, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

Find Your Perfect Teacher

Browse our selection of Statistics tutors & teachers and use the filters to find your ideal online class

Contact Teachers for Free

Share your goals and preferences with teachers and choose the Statistics class that suits you best

Book Your First Lesson

Plan the schedule for your first class together. Once your teacher confirms the appointment, you're all set to start on the front foot!

833 online statistics teachers

Amine

verified teacher icon
Switzerland
C$60

60-min

/h

trusted teacher iconTrusted teacher

Experienced Engineer & Professor - Advanced Data Analysis & Statistics | 300+ people coached | SPSS, R-Studio, Jamovi, JASPTranslate this text using Google Translate.

Experienced Engineer & Professor - Advanced Data Analysis & Statistics | 300+ people coached | SPSS, R-Studio, Jamovi, JASPTranslate this text using Google Translate.

◾ Tools RStudio • SQL • SPSS • SAS • Jamovi • JASP ◾ Statistical Methods & Tests Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation ◾ Data analysis & decision support - Data preparation, structuring and validation using SAS, R and SQL - Descriptive, exploratory and multivariate statistical analyses on business data - Production of performance indicators and actionable analyses to support decision-making ◾ Selection and implementation of methods - Preparation and structuring of databases - Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA) - Linear and logistic regressions - Factor analyses (PCA / MCA) - Mediation and moderation models - Classification / clustering 1) Academic support - Lectures, tutorials, projects and assignments in statistics - Help in understanding and interpreting the results - Preparation for exams and academic presentations 2) Statistical analysis - Descriptive statistics (univariate and bivariate) - Multivariate analyses - Data exploration and outlier detection 3) Statistical tests - Correlations (Pearson, Spearman, Cohen's Kappa) - t-tests (one and two samples, independent or paired) - Chi-square, binomial tests - z-scores and associated indicators 4) Statistical modeling - Linear regressions (simple and multiple) - Logistic regression - Interpretation of coefficients, diagnostics and validation of models 5) ANOVA & ANCOVA - One- or multi-factor ANOVA - Repeated measures ANOVA - Fixed and random effects - Post-hoc tests and effect sizes 6) Factor analyses - ACP / PCA (scree plot, factor scores, matrices) - Exploratory factor analysis - Factorial rotations - Validation and interpretation of structures and clusters ◾ Reporting & communication - Clear, structured and concise reporting of results - Visualizations tailored to decision-makers - Support for strategic and operational decision-making

Abdou

verified teacher icon
Saudi Arabia
C$60

60-min

/h

trusted teacher iconTrusted teacher

Statistics, data visualization and machine learning for beginners – course in FrenchTranslate this text using Google Translate.

Statistics, data visualization and machine learning for beginners – course in FrenchTranslate this text using Google Translate.

📊 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.

Floris

verified teacher icon
Netherlands
C$58

60-min

/h

trusted teacher iconTrusted teacher
student icon
1Students

Want to understand mathematics, statistics, and/or physics? Effective tutoring from an experienced data scientist with a PhD in mathematical...Translate this text using Google Translate.

Want to understand mathematics, statistics, and/or physics? Effective tutoring from an experienced data scientist with a PhD in mathematical physics.Translate this text using Google Translate.

The biggest mistake a teacher can make is acting as if the subject matter is self-evident. Just because a concept makes sense to one person does not automatically mean it does to another. That is why my approach is based entirely on patience, empathy, and clear communication. My goal as a teacher is to make complex material understandable and reduce it to a coherent whole using concrete examples that work for you. Everyone processes information in their own way. If a particular explanation doesn't work, we switch to a different angle until it becomes clear to you. I offer targeted support at various levels: - University & HBO: Physics, applied mathematics, probability and statistics. For all study programmes in which these subjects are covered. - Secondary education: From the basics to the most advanced profiles such as VWO mathematics and physics, but also in preparation for international programs such as IB, A-Levels, etc. Every student is unique, so we can always fully customize the structure to your specific needs. For a lesson, the following three-block structure can be used: - Block I: We look back at the previous session and immediately tackle the specific sticking points or (homework) questions you brought along. - Block II: We dive into the new material. We discuss the new concepts, after which we move on to working on assignments. The questions and problems are examined closely, making the subject matter clearer through practice. - Block III: A brief summary to check and assess the extent to which you have mastered the new material.

play iconVideo

Elodie

verified teacher icon
Canada
C$39

60-min

/h

trusted teacher iconTrusted teacher

Statistics (IBM SPSS) - the basic concepts and practices of descriptive and inferential statisticsTranslate this text using Google Translate.

Statistics (IBM SPSS) - the basic concepts and practices of descriptive and inferential statisticsTranslate this text using Google Translate.

Hi Everyone, Let me briefly introduce myself. I achieved my Ph.D. in communication at the University of Ottawa in 2023. I have been an individual tutor for quantitative research methods courses for seven years and started Varsity in 2022 to help students with statistical concepts and how to use SPSS (Correlations, Regressions, Anova, T-tests, Chi-square, Two-way Anova, Repeated measures, and Logistic regression). When I was a PhD candidate, I received a lot of help from my instructors, so I decided to help other students in return. Even if I know the major difficulties for understanding statistics, I have to see the assignments and the course content including the syllabus because each professor's approach is different. I will also need your collaboration to work with me: Your assignments (documents: assignment instructions + course content & dataset) should be sent to me at least 3 days before our session. All assignments should be done by yourself as much as you can, then send your draft to me at least 1 day before our scheduled meeting so that I can give you my feedback during our session. As you will need my help depending on the assignment due dates, I will accommodate as much as I can, so schedules can be made based on your needs. If you agree with this principle, please send me your documents and confirm the session. I hope I can help and assist you to achieve your goals. I am looking forward to meeting you. Bye for now.

Video thumbnail
Play icon
Elodie's video
play iconVideo

Nyimbili

verified teacher icon
United States
C$33

60-min

/h

trusted teacher iconTrusted teacher

MATHEMATICS IGCSE EDEXCEL, A LEVEL'S AND SATS PreparationTranslate this text using Google Translate.

MATHEMATICS IGCSE EDEXCEL, A LEVEL'S AND SATS PreparationTranslate this text using Google Translate.

Am a specialist tutor in algebra, statistics and trigonometry am always passionate about making students pass the exam. . This class is an online class via zoom meeting or Google meet. Students are able to submit their homework via Google classroom and and marked immediately I have a full Outstanding knowledge of mathematical formulas and concepts. In-depth knowledge of using various teaching and learning aids. Ability to pay extra attention to the slow learning students. Exceptional verbal and written communication skills. Problem-solving is the ability to identify and solve problems. As a math teacher, it's my responsibility to help my students find solutions when they struggle with solving equations or completing assignments. You can use problem-solving skills in your classroom by asking students to explain their thought processes as they work through challenging tasks. This allows Me to assess whether students are using effective strategies and provides an opportunity for them to learn from their mistakes. Passionate math teacher with 8+ years of experience in high school and middle school environments. Designed integrated lesson plans and incorporated authorial college prep elements to the state curricula. In my previous role prepared and run after-school tutoring for students with learning difficulties that helped improve their final test results by 30%. A winner of Teaching for Progress state award, seeking to leverage math and communication skills.

Video thumbnail
Play icon
Nyimbili's video
PreviousShowing results 101 - 125 of 833101 - 125 of 833Next

Our students evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 8 reviews.

Excellent teacher. Tom knew exactly what my son needed to close the gap between IGCSE and MYP and got into it right away. He has the ability to make concepts clear and enable the learner to gain knowledge. I highly recommend Tom.

He is a good teacher and explains well during his lessons .

To ensure the quality of our Statistics teachers, we ask our students to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 8 reviews.

Map
Map