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Private lessonsStatisticsStatistics in Agadir

3 statistics teachers in Agadir

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3 statistics teachers in Agadir

(3 reviews)
Masud - Brussels, BelgiumC$54
C$54Data Analysis and Statistics using (Python or R ) Language
Trusted teacher: Welcome! I recently completed a Data Science and Artificial Intelligence coding school following the successful completion of my master's degree from the esteemed University of Ghent in Belgium. With over 2 years of experience as a private Python tutor, I am well-equipped to assist you. My mission is to help you with statistics and data analysis for your projects. My courses are designed to cater to a diverse range of students, including teenagers, those in higher education or pursuing doctoral studies in sciences, as well as anyone interested in understanding statistics. I offer a flexible teaching approach that can be tailored to your specific needs. To ensure an effective learning experience, I kindly request a brief description of your objectives for the course. This will enable me to customize the content and adapt my teaching methods accordingly. Based on your requirements, my courses can cover the following topics: - Fundamental principles of descriptive and inferential statistics. - Various inference tests, including commonly used ones such as Chi-square, T-test, ANOVA, and linear regression, as well as more advanced techniques like multi-level analyses, structural equations, and data organization tools such as factor analysis and cluster analysis. - Practical application using statistical software such as SPSS, R language, and Python. - Engaging in practical exercises using provided data or your own dataset. - Regardless of your current level of understanding, I will focus on the specific areas that meet your needs and interests. I am committed to providing clear and comprehensible explanations to ensure your effective comprehension of the concepts.
Statistics · Computer science
(1 review)
Anais - FranceC$71
C$71HOLDER OF A DOCTORATE / Data analysis and biostatistics: introduction to data science with Rstudio
Trusted teacher: This data analysis course is designed for students as well as individuals or professionals who want to gain a solid understanding of statistics and develop practical skills using R Studio software. As a PhD holder with a double competence in life sciences and statistics, I will guide you through the fundamental principles of biostatistics using concrete examples from the agronomic and forestry fields. During this program, we will cover the following topics: I. Introduction to the basic concepts of statistics: You will learn the fundamental notions such as measures of central tendency, dispersion, probability distributions, hypothesis testing and estimation. II. Data collection and preparation: You will learn best practices for collecting and preparing your data for statistical analysis. We will also discuss common data quality issues and techniques to resolve them. III. Data exploration and visualization: You will explore different methods to visualize your data and extract meaningful insights. We will use graphs and advanced visualization techniques to identify patterns and relationships between variables. IV. Statistical analysis techniques: You will learn to apply common statistical methods such as parametric and non-parametric tests, linear and logistic regression, analysis of variance (ANOVA) and correlation analysis. V. Introduction to machine learning with R: You will learn the basics of machine learning and explore popular techniques such as tree regression, random forests, and classification methods. We'll see how to use these techniques to predict outcomes and make data-driven decisions. This course will focus on practical applications and will use the R Studio software, a reference in the field of data analysis, which is also free to access. You will develop practical skills by manipulating real datasets and applying appropriate statistical techniques to draw meaningful conclusions. Whether you are a student, professional, or simply interested in data analysis, this course will provide you with the foundation to understand and apply statistics in a variety of contexts, with an emphasis on the fields of life sciences and agronomy. Do not hesitate to register and join this course to acquire a strong skill in data analysis and improve your evidence-based decision making.
Statistics
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Dave - Paris, FranceC$74
C$74Machine learning course / project by Doctor in machine learning and actuarial science
Trusted teacher: Hello, I am an experienced machine learning teacher with 5 years of expertise in teaching this discipline at all levels. My expertise using Python and R allows me to teach different machine learning algorithms such as neural networks, decision trees and clustering algorithms. I am also experienced in using popular Python and R libraries such as TensorFlow, Keras, Scikit-learn and ggplot2. In addition to my machine learning skills, I am able to help students read and understand research papers for their presentations, as well as work on projects in Python and R. My commitment to machine learning is passionate and I enjoy sharing my knowledge with my students. If you are interested in my services as a machine learning teacher for all levels, do not hesitate to contact me. In addition to my machine learning skills, I am also able to help you with mathematics, statistics and dissertation writing. I am available to teach the following subjects: 1.Python or R 2. Data exploration 3.Machine learning 3.1. Intro ML 3.2. Linear Model -> Linear Models for Regression and Classification 3.3. kernel -> Kernelization 3.4. Model selection 3.5. model set, -> Bagging / RandomForest, Boosting (XGBoost, LightGBM,...) , Stacking 3.6. Data preprocessing -> Data pre-processing -> Pipelines: choose the right preprocessing steps and models in your pipeline -> Cross validation 3.7. Neural Networks -> Neural architectures -> Training neural nets: Forward pass: Tensor operations and Backward pass: Backpropagation -> Neural network design: Activation functions, weight initialization and Optimizers -> Neural networks in practice: Model selection, Early stopping, Memorization capacity and information bottleneck, L1/L2 regularization, Dropout, Batch normalization 3.8. Convolutional Neural Networks -> Convolved Image -> Convolutional neural networks ->Data increase -> Model interpretation -> Using pre-trained networks (transfer learning) 3.9. Neural Networks for text -> Bag of word representations, Word embeddings, Word2Vec, FastText, GloVe
Math · Statistics · Computer science
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Phoebe - FinlandC$40
C$40Beginner level coding for R - science, statistics, and ecology
Trusted teacher: Becoming a scientist? Statistics and coding skills are an important part of your everyday job. Learn early, practice, and with no time you will be flying through your data analyses before everybody else. Using coding software such as R allows you to interpret and analyse meaningful data and plot beautiful graphs using base R or multiple libraries. I will teach you the basic syntax of R, how to understand and 'think' like R, and build on those skills to do more complicated statistics (ANOVA's, PCA, GLM's, mixed-effects models, etc.) and - the most important(!) - how to plot beautiful graphs! I would recommend this level of tutoring to college and university level students (that's not to deter any of you ambitious secondary/high school students, or people with a general interest, you are more than welcome!). I have put beginner level as the class title, but I am happy to teach higher levels. We can tailor the class to you if you want to focus on syntax, loops, statistics, models, figures/plots, etc. It's up to you! :) About me: I am a PhD researcher who is specialising in Arctic marine ecology with a solid background in marine science and ecology. I am currently based in Finland, Europe, but I am a UK national and studied at both St Andrews University and Southampton University in the UK. I am flexible with timings so if the times listed below don't suit you please contact me and we can organise a time that works for us both.
Computer programming · Science · Statistics
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Our students from Agadir evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from Agadir to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.6 out of 5 based on 28 reviews.

Data Analysis and Statistics using (Python or R ) Language (Brussels)
Masud
Masud is a well experienced tutor and very patient. He understands diverse differential learning needs and always finds proactive strategies to ensure that you learn. The statistics lessons with him was very effective, that even when I had to take my statistics exam it was easy for me to navigate. I do highly recommend him.
Review by NOEL
Online statistics class with spss sessions for research
Ruwayda
Ruwayda was an excellent teacher, she had the expertise I required for my master's level statistical problems with SPSS (mixed model effects). She addressed our class having considered and extensively prepared for the lesson, gaining time for real discussion. I will contact her again if I need more help
Review by USER
Tutor for mathematics and statistics, Data Science
Salma
So far I've had no issues with Salma, she is knowledgeable in the topics I need help with and she is not a bad choice for those planning to learn statistics.
Review by GAVIN

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