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Algebra lessons in Kingston

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1 algebra teacher in Kingston

Jerzy - Groningen, Netherlands£18
£18Mathematics: Calculus, Algebra, Abstract Algebra, Geometry, Analysis, Probability and Statistics
Trusted teacher: Hello, I am a mathematics masters student specializing in algebra, geometry and number theory. I have graduated from the university of Groningen with a bachelor in mathematics. As such, I've spent a great deal of time studying mathematics at a higher level and have become acquainted with a broad range of mathematical disciplines such as algebra, geometry, analysis, calculus, probability, optimization and more, this of-course includes any high school mathematics. During my studies I working as a teaching assistant whenever possible so I have some experience teaching. In mathematics there are often many ways to come to the same conclusion and it varies from person to person what they consider easiest to understand. As such I try to get to know the student first and figure out how they may learn best. Personally, I rely a lot on intuition and deep understanding of concepts and so i try to convey to students the most essential and fundamental ideas before moving on, as well as, giving them interpretations of what is happening so that they may becomes easier to imagine and more tangible. In solving any problem, I think it is important to first sit back and understand what is going on before embarking on any calculation or proofs. In a typical class I would first survey what the student already knows and discuss the concepts with them making sure they understand them very well then we would move on to discussing examples and non-examples (this would take most of the class). Finally we would solve problems together discussing them as we go along. This of course can vary from student to student, their level and time available.
Calculus · Math · Algebra
Juan - Guayaquil, Ecuador£19
£19Statistical Analysis for the Digital Age: Exploring Descriptive and Inferential Stats with Microsoft Excel
Trusted teacher: Class Description: In today's digital age, statistical analysis plays a crucial role in making informed decisions for businesses and organizations. This comprehensive statistics class, "Statistical Analysis for the Digital Age: Exploring Descriptive and Inferential Stats with Microsoft Excel," is designed to provide you with the knowledge and skills needed to navigate the world of data using Microsoft Excel. From the basics of descriptive statistics to the intricacies of inferential statistics, this course will take you on a journey through the fundamental concepts and techniques used in statistical analysis. You will learn how to collect, organize, and interpret data using the powerful capabilities of Microsoft Excel, including its worksheets, Data Analysis Tool, and the PhStat2 add-in. To enhance your learning experience, this course will focus exclusively on utilizing Microsoft Excel. Through practical exercises and real-world examples, you will develop proficiency in Microsoft Excel's built-in features and functionalities for statistical analysis. You will learn how to effectively use Excel's worksheets, leverage the Data Analysis Tool, and utilize the PhStat2 add-in to perform various statistical analyses. By the end of this course, you will have a solid foundation in statistical analysis using Microsoft Excel. You will be equipped with the skills to confidently navigate data, perform meaningful analyses, and make data-driven decisions that drive success in today's digital landscape. Key Topics Covered: Chapter 1: Introduction to Statistics • Definition of statistics • Role of statistics in data analysis and decision-making • Differentiating descriptive and inferential statistics Chapter 2: Types of Statistics • Descriptive statistics: Summarizing and describing data • Inferential statistics: Making inferences and drawing conclusions about populations based on sample data Chapter 3: Types of Variables • Categorical variables: Nominal and ordinal scales • Continuous variables: Interval and ratio scales Chapter 4: Descriptive Statistics: Measures of Central Tendency • Mean, median, and mode • Choosing appropriate measures based on data characteristics Chapter 5: Descriptive Statistics: Measures of Variation • Range, variance, and standard deviation • Interpreting variation in data Chapter 6: Descriptive Statistics: Measures of Shape • Skewness and kurtosis • Understanding the distributional characteristics of data Chapter 7: Data Visualization: Choosing the Right Chart • Histograms: Displaying the distribution of continuous data • Pie charts: Representing proportions or percentages • Column and Bar charts: Comparing categories or groups • Line charts: Visualizing trends or time-series data • Guidelines for selecting appropriate charts based on data types and analysis objectives Chapter 8: Probability and Counting • Sample Space • Events • Counting Sample Points • Probability of an Event • Additive Rules • Conditional Probability • Independence and the Product Rule • Bayes’ Rule Chapter 9: Random Variables and Probability Distributions • Concept of a Random Variable • Discrete Probability Distributions • Continuous Probability Distributions • Joint Probability Distributions Chapter 10: Mathematical Expectation • Mean of a Random Variable • Variance and Covariance of Random Variables • Means and Variances of Linear Combinations of Random Variables Chapter 11: Some Discrete Probability Distributions • Introduction and Motivation • Binomial and Multinomial Distributions • Hypergeometric Distribution • Negative Binomial and Geometric Distributions • Poisson Distribution and the Poisson Process Chapter 12: Some Continuous Probability Distributions • Continuous Uniform Distribution • Normal Distribution • Areas under the Normal Curve • Applications of the Normal Distribution • Normal Approximation to the Binomial • Gamma and Exponential Distributions • Chi-Squared Distribution Chapter 13: Fundamental Sampling Distributions and Data Descriptions • Random Sampling • Some Important Statistics • Sampling Distributions • Sampling Distribution of Means and the Central Limit Theorem • Sampling Distribution of S2 • t-Distribution • F-Distribution • Quantile and Probability Plots Chapter 14: One- and Two-Sample Estimation Problems • Statistical Inference • Classical Methods of Estimation • Single Sample: Estimating the Mean • Standard Error of a Point Estimate • Prediction Intervals • Tolerance Limits • Two Samples: Estimating the Difference between Two Means • Paired Observations • Single Sample: Estimating a Proportion • Two Samples: Estimating the Difference between Two Proportions • Single Sample: Estimating the Variance • Two Samples: Estimating the Ratio of Two Variances • Maximum Likelihood Estimation Chapter 15: One- and Two-Sample Tests of Hypotheses • Statistical Hypotheses: General Concepts • Testing a Statistical Hypothesis • The Use of P-Values for Decision Making in Testing Hypotheses • Single Sample: Tests Concerning a Single Mean • Two Samples: Tests on Two Means • Choice of Sample Size for Testing Means • Graphical Methods for Comparing Means • One Sample: Test on a Single Proportion • Two Samples: Tests on Two Proportions • One- and Two-Sample Tests Concerning Variances • Goodness-of-Fit Test • Test for Independence (Categorical Data) Chapter 16: Analysis of Variance (ANOVA) • Comparing means across multiple groups • One-way and two-way ANOVA Chapter 17: Chi-Square Test • Testing relationships between categorical variables • Assessing independence and goodness-of-fit Chapter 18: Simple Linear Regression and Correlation • Introduction to Linear Regression • The Simple Linear Regression Model • Least Squares and the Fitted Model • Properties of the Least Squares Estimators • Inferences Concerning the Regression Coefficients • Prediction • Choice of a Regression Model • Analysis-of-Variance Approach • Test for Linearity of Regression: Data with Repeated Observations • Data Plots and Transformations • Correlation Chapter 19: Multiple Linear Regression and Certain Nonlinear Regression Models • Estimating the Coefficients • Linear Regression Model Using Matrices • Properties of the Least Squares Estimators • Inferences in Multiple Linear Regression • Choice of a Fitted Model through Hypothesis Testing Throughout the course, you will engage in practical exercises, real-world examples, and data analysis tasks to reinforce your understanding of statistical concepts and techniques. You will also have the opportunity to apply these skills using statistical software tools to gain hands-on experience with data analysis. By the end of this course, you will have a solid grasp of both descriptive and inferential statistics, enabling you to confidently explore, analyze, and interpret data in various contexts. Whether you are a student, professional, or an individual seeking to enhance your data analysis skills, this course will empower you to make informed decisions based on statistical insights. Join us on this statistical journey and unlock the foundations of statistical analysis. Enroll now in the "Statistical Foundations: Exploring Descriptive and Inferential Analysis" course to develop your statistical proficiency and leverage the power of data-driven decision-making, including the use of charts for effective data visualization and interpretation.
Math · Statistics · Algebra
Chrysanthi - Mitte, Germany£30
£30Primary, Secondary and High school Math tutor. Private lessons in English or Greek
Trusted teacher: Hey there! I'm Chrysanthi, and I'm passionate about making learning both accessible and enjoyable. I specialize in teaching mathematics and music, with over six years of experience helping students excel. I hold a degree in Mathematics and Applied Mathematics from the University of Crete and currently teach at a leading international school in Berlin. Working in this diverse, multicultural environment has allowed me to develop unique teaching strategies that resonate with students from all backgrounds. I understand that learning can sometimes feel challenging—especially in a subject like math. My goal is to make these challenges manageable and even enjoyable! I create a supportive and engaging learning environment tailored to each student’s unique needs and learning style. Whether you're building foundational skills, preparing for the Math Olympiad, or tackling advanced concepts, I’ll be there to support and guide you every step of the way. In our sessions, I offer personalized, one-on-one, or small-group tutoring to ensure that each student can progress at their own pace. Here are some of the subjects I cover: - Algebra - Calculus - Geometry - Trigonometry - Analysis - Probability and Statistics - Number Theory If you're looking to boost your confidence, improve your grades, or excel in competitive exams like the Math Olympiad, I’d love to help. Let’s embark on this learning journey together and unlock your full potential in mathematics!
Math · Algebra · Geometry
Paula - Gothenburg, Sweden£18
£18Mathematics from Primary School to University level (taught in English or Polish)
Trusted teacher: I received my Bachelor’s and Master’s Degrees in Mathematics (specialization: financial mathematics) from Jagiellonian University, Krakow, Poland*. Following that, I gained over 3 years of experience as a data analyst in the financial and actuarial fields. Despite my corporate job, my passion for theoretical mathematics never faded, leading me to offer tutoring services after work. These new challenges helped me realize that I am destined for something else. Therefore, I didn’t hesitate to seize the opportunity to move to Sweden with my family in 2021. Since then, I have focused mostly on learning Swedish, exploring cultural peculiarities during my job at the post office, and occasionally giving math lessons as a private tutor online. I have completed several national courses in Swedish, with the latest being SVA 1, corresponding to level B2 (CEFR). Although I have never stopped working on improving my Swedish. More importantly, I have decided to follow my dreams and dedicate myself full-time to teaching math, becoming a self-employed private tutor in mathematics. Teaching math has been my passion since my Master's studies and, despite having a full-time job, it remained my spare time activity. Over these 8 years, I have gained experience in tutoring different kinds of students from primary school up to the master’s level. I strongly believe that anyone can become proficient in mathematics. I mostly like to work with people who struggle with math since such challenges inspire me to find distinctive ways of explaining mathematical concepts. Moreover, there is nothing more satisfying than seeing the progress of demanding students. In my tutoring experience, I have helped those falling behind in class and aided in exam preparation (e.g., Polish matura exam basic/advanced, Swedish högskoleprovet, mathematics exams during engineering/economy studies). Another form of my services is to provide solutions to specific sets of tasks with corresponding explanations of the material and issues. I offer regular classes as well as intensive short courses or one-off meetings, depending on what suits the students' needs best. I teach in English and Polish but can give it a try in Swedish as well (can speak Swedish but haven’t taught in Swedish as of now). Lessons are possible at my location, the student’s location, or online. Together, we can make the change! *All of the following are approved by The Swedish Council for Higher Education (UHR), and related documents can be provided for review if required.
Math · Algebra · Calculus
(4 reviews)
Safiqul - Ongkharak, Thailand£15
£15Math,Calculus,Algebra,Geometry,Arithmetic,Trigonometry,Differential Equations,Mathematical Modeling,Numerical Analysis,Probability and Stats
Trusted teacher: I have a Doctorate degree in Mathematics. Maths is a wonderful subject, which one needs in all spheres. It is the basic of all subjects. A few applications are defined below: Trigonometry: Calculus is related with trigonometry and algebra. The fundamental trigonometric functions like sine and cosine are used to define the sound and light waves.Trigonometry is further used in oceanography to measure the heights of waves and tides in oceans. It is used in satellite systems, and to create maps. The famous Pythagoras' Theorem finds its' application in determining how tall a ladder needs to be in order to safely place the base away from the wall so it does not turn over. Probability and Statistics: Probability problems infer conclusions about characteristics of hypothetical data taken from the population. Probability explains the mathematical chance that something might happen, and is used in numerous day- to-day applications. Calculus : We can find the (or global) minimum and maximum values of a function as well as the relative (or local) minimum and maximum values of a function. Differential Equation: Differential equations are applied to predict the world around us, and used in a wide variety of disciplines, from biology, economics, physics, chemistry and engineering. It has applications in exponential growth and decay model, Newton's law of cooling, and Circuit theory, e.t.c. I have teaching experience for more than 15 years. My students are from all corners of the globe, and of all ages. I also make them learn Mathematics in English, so that they can excel in future. I am well acquainted will all the topics of mathematics, at all levels from schools to colleges. Children like my style of teaching.
Algebra · Calculus · Math
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Our students from Kingston evaluate their Algebra teacher.

To ensure the quality of our Algebra teachers, we ask our students from Kingston to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.4 out of 5 based on 14 reviews.

Math,Calculus,Algebra,Geometry,Arithmetic,Trigonometry,Differential Equations,Mathematical Modeling,Numerical Analysis,Probability and Stats (Nakhon Nayok)
Safiqul
My son really enjoyed his first lesson with Safiqul. He told me that his brain felt 'super good' after the lesson. Just what my son needed - some challenge, kindness and patience. This is what Safiqul provided my son for his maths class. Thank very much and we hope to learn from you again very soon!
Review by ELLY
Dynamic instructor, more than 10 years of experience. Subjects: Maths, Science, Physics (Berlin)
Moumita
Moumita is very knowledgeable and patient, and has a way of engaging her pupil even for difficult tasks.
Review by JOEL
mathematics, Test prep, HomeWorks, Calculus, Algebra, (Brussels)
Nima
Very calm and patient teacher. Well informed and Knowledgeable about maths for our son’s level.
Review by ALBERTO

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Algebra in Kingston