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Discover the Best Private Algebra Classes in Zahle

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

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2 algebra teachers in Zahle

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2 algebra teachers in Zahle

Sat prep · Reading · Algebra
Trusted teacher: Dear student! Are you finding mathematic concepts are too abstract to acquire? Are you often confused about how to solve an exercise, even though you completely understand what is written in the textbook? Then I am here to help you! My tutoring method would focus on developing your problem-solving skills. + Explaining complicated problems in a way that students can acquire them easily. + Instructing students to identify the question type, how to brainstorm and approach the question in the most efficient and logical way. + Showing students tips and tricks + skills, helping them get ready for the exam. + Fill the students' knowledge gap, and help them understand the concepts thoroughly and deeply. ABOUT ME: I am a graduated student at the University of Twente. I used to work as a tutor in the mathematics department at Foreign Trade University in Vietnam, and during that time, I have been trained to develop the curriculum for students to fit their pace and help them to understand the materials. I have worked as the Mathematics Tutor for the University of Twente and right now I am working as a private tutor in Enschede. I have 2 years of experience in tutoring online and onsite, assisting students in diverse Mathematics topics, including Calculus 1, Calculus 2, Linear Algebra, Probability and Statistics and more. I see the needs of my students and understand the reason behind their struggles. I want to help them get over the pressure and feel enjoy when doing Math. TUTORING METHOD: My tutoring method is tailored learning focusing on developing student's problem-solving skills, ensuring that they not only understand key concepts but can also apply them effectively. Lessons are designed to be flexible, they could be scheduled per week. + Explaining complicated concepts in a way that students can acquire them easily. + Instructing students to identify the question type, how to brainstorm and approach the question in the most efficient and logical way. + Showing students tips and tricks + skills, helping them get ready for the exam. + Fill the students' knowledge gap, and help them understand the concepts thoroughly and deeply. ABOUT THE CLASS: + I offer high quality 1:1 tutoring sessions. Small groups of students (2-3 people) wanting to study together is also possible. + Tutoring sessions can take place at either my house (Enschede), online or at student location. + Teaching Calculus 1&2, Linear Algebra, Probability & Statistics, and mathematics for Secondary or High school students. + Customized Lessons - I design the content to meet your specific needs, help you fill the gaps, build a solid foundation on important Maths concept and develop your logical thinking. + Duration of Lessons: A Tutor session could last 1-2 hours.
Calculus · Algebra · Geometry
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
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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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 22 reviews.

Highly experienced 1-on-1 Math tutor : IB Diploma IB DP Maths AA/AI, IGCSE, Cambridge A-levels, AP Calculus, SAT, ACT, GRE, GMAT, IB Math
Dr. Iyer
Superb experience with Dr S Iyer. Very easy to schedule, responsive, preparation before class and follow up after class. He helped my child understand concepts that were unclear, he has profound knowledge of the subject, he knows how to get my child interested and it helps to learn when one is engaged, I was present in the room during parts of the lessons and I could see he cares about my child liking what he is teaching, but is also focused on making sure she gets it. Via zoom it is very easy to have the lesson. Thank you very much Dr. S Iyer!
Review by GABRIELA
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
Struggling with mathematics! Here you are at the right place. (Wellington)
Randeep
Explains everything so thoroughly and in depth! Really nice woman, and made the subject understandable.
Review by GARTH