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Algebra lessons in Barking

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5 algebra teachers in Barking

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5 algebra teachers in Barking

(2 reviews)
Eduardo - Luxembourg, Luxembourg£31
£31Preparación Académica Superior: Clases de Matemáticas Online con un Profesional Calificado
Trusted teacher: ¡Bienvenidos! Soy Eduardo, Matemático. Con más de 15 años de experiencia en el campo de la educación matemática, he tenido el privilegio de trabajar en diversos centros educativos y de fundar Matemática Sin Fronteras. Mi objetivo es ofrecer clases de matemáticas online adaptadas a las necesidades de cada estudiante, desde escolares hasta jóvenes de bachillerato. ¿Qué Ofrezco? Clases Online Personalizadas: Utilizo una tableta digital para proporcionar explicaciones claras y detalladas. Al final de cada clase, te entregaré un resumen en formato PDF para que puedas repasar y consolidar lo aprendido. Plataforma de Clases: Nuestras sesiones se llevan a cabo a través de Google Meet, garantizando una experiencia interactiva y efectiva. Atención Integral: Me enfoco en cada estudiante para asegurar una comprensión profunda de los conceptos matemáticos, lo cual es crucial para un desempeño académico sobresaliente en la etapa universitaria. Beneficios de Trabajar Conmigo: Profesionalismo y Experiencia: Mi trayectoria en la enseñanza y mi compromiso con la educación aseguran que recibirás una formación de alta calidad. Adaptabilidad y Apoyo: Cada clase está diseñada para cubrir las necesidades específicas del estudiante, con materiales y métodos adaptados a su nivel y objetivos. Preparación Universitaria: Una sólida formación matemática es clave para un buen desempeño en la etapa universitaria. Mis clases están orientadas a preparar a los estudiantes para los desafíos académicos futuros. ¿Por Qué Elegir Un Experto? Poner la enseñanza en manos de un experto es fundamental para lograr una educación efectiva. Con mi experiencia y profesionalismo, te aseguro un enfoque metódico y personalizado que contribuirá significativamente a tu éxito académico. ¡No dudes en contactar y comenzar a mejorar tu comprensión de las matemáticas con un experto a tu lado!
Math · Algebra · Trigonometry
(1 review)
Marton - Barcelona, Spain£36
£36Master the Digital SAT: Personalized Prep Course with a Master Tutor!
Trusted teacher: Master the Digital SAT: Personalized Prep for Maximum Success --- The Digital SAT is a requirement for many North American universites. My structured, adaptive approach ensures you're fully equipped to take on this challenge with calm and confidence! Key Features of Prep Course: * Familiarization with the digital testing environment and Bluebook app * Adaptive teaching style that effectively syncs with students' varied needs * Path to Mastery of key Math, Reading, and Writing concepts you will need on test day * Strategies for navigating adaptive modules and shorter passages * Timed practice using official Digital SAT questions * Targeted lesson planning on areas needing improvement Whether you're a first-timer or looking to improve your score for the Ivy Leagues, my tailored approach will help you either achieve a solid baseline or achieve up to a 40% score boost! --- You'll Learn Tactics that help you: * Master the integrated Desmos Calculator for quick problem-solving. * Quickly recognize question types. * Employ the "Process of Elimination" strategy to tackle trickier questions. * Decode complex passages using active reading techniques. * Answer questions quickly and with confidence using proven shortcuts. * Use the countdown timer to your advantage, ensuring you stay on track. * Apply strategic guessing techniques when you're unsure of an answer. * Leverage the digital bookmark feature to efficiently manage challenging questions.
Sat prep · Reading · Algebra
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£18
£18Statistical 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
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Our students from Barking evaluate their Algebra teacher.

To ensure the quality of our Algebra teachers, we ask our students from Barking to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 12 reviews.

Master the Digital SAT: Personalized Prep Course with a Master Tutor! (Barcelona)
Marton
My son, Zack found Marton very easy to work with and thoroughly enjoyed the lesson. Zack is sitting the SAT in September. Marton was happy to provide help with more than just the SAT agreeing to read his personal statement. Highly recommended.
Review by ADRIENNE KRONENBERG
Mathematics/Physics for any level e.g. GRE, SAT, VWO, HBO, WO, HAVO, IB(SL & HL), GCSE(O & A levels) 9 years of experience (Stockholm)
Ozaif
We’re very satisfied with Ozaif as tutor. He is structured, patient, competent and able to explain different math topics well (IB Math AA SL)
Review by MARGRIET
Analyzing data and statistics with Python, R, and SPSS (Amsterdam)
Mehdi
Very professional, on time, knows what he is doing and knows the material. Very polite as well. I will keep taking his lessons.
Review by MAXIMOS

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Algebra in Barking