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Statistical Analysis for the Digital Age: Exploring Descriptive and Inferential Stats with Microsoft Excel
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.
• Microsoft Excel: We will utilize Microsoft Excel for various exercises and data analysis tasks. If you don't already have it installed, please ensure you have Microsoft Excel or a compatible spreadsheet software available on your computer.
During the course, I will provide detailed instructions and necessary resources to enrolled students prior to the first session. If you encounter any difficulties during the software installation process, don't worry—I will be available to assist you and ensure you're ready to dive into the world of statistical analysis.
Get ready to explore the foundations of statistical analysis, explore data, and gain insights using Microsoft Excel. Through practical exercises you will develop proficiency in applying statistical techniques to solve problems and make data-driven decisions.
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.
Extra information
For this remote class, you will need a computer or laptop with a stable internet connection. Prior to the class, please ensure you have the following software and tools ready:• Microsoft Excel: We will utilize Microsoft Excel for various exercises and data analysis tasks. If you don't already have it installed, please ensure you have Microsoft Excel or a compatible spreadsheet software available on your computer.
During the course, I will provide detailed instructions and necessary resources to enrolled students prior to the first session. If you encounter any difficulties during the software installation process, don't worry—I will be available to assist you and ensure you're ready to dive into the world of statistical analysis.
Get ready to explore the foundations of statistical analysis, explore data, and gain insights using Microsoft Excel. Through practical exercises you will develop proficiency in applying statistical techniques to solve problems and make data-driven decisions.
Location
Online via webcam
General info
Skills:
Age: | Adults (18-64 years old) |
---|---|
Student level: | Beginner Intermediate |
Duration: | 60 minutes |
The class is taught in: | English, Spanish |
About Me
Hello! My name is Juan Carlos, and I am a university professor specializing in Statistics and Calculus. With over 17 years of teaching experience, I have had the pleasure of instructing students in various subjects in both English and Spanish. I recently completed my Master's degree, further enhancing my expertise in the field.I pride myself on having a friendly teaching style, and I strive to create a comfortable and supportive learning environment. As your instructor, I am patient, polite, and dedicated to helping you succeed. Let's get started on your learning journey—book your first lesson with me today!
Throughout my career, I have had the opportunity to work with students from around the world through exchange programs offered by universities. This experience has allowed me to teach a wide range of subjects, including Statistics, College Algebra, Differential Calculus, Integral Calculus, Operations Research, and Traffic Engineering—all in English.
My classes are focused on mathematics, and I tailor them to meet the unique needs of my students. Depending on your requirements, we can work with online calculators, statistical software such as RStudio, Minitab SPSS, or other programs like POM for Windows or GAMS. If you are more comfortable with Microsoft Excel, no problem! I can adapt my teaching to suit your preferences.
When solving exercises, I pay close attention to every detail. I incorporate variations, problem-solving strategies, and highlight common mistakes that students often encounter. My goal is to ensure you grasp the concepts fully and build a strong foundation in Statitics and Math.
I am excited to help you master mathematics and achieve your academic goals. Don't hesitate to book a class with me. Together, we will make Statistics, Math and Algebra enjoyable and understandable!
Education
22/05/2033 Share data through the art of visualization Module 6 of the Google Analytics Certificate – Coursera – Google.28/01/2023 Intro to SQL –
23/01/2023 Data Visualization –
01/16/2023 Analyze Data to answer Questions Module 5 of the Google Analytics Certificate - Coursera - Google.
05/18/2022 Process Data from Dirty to Clean Module 4 of the Google Analytics Certificate - Coursera - Google.
08/04/2022 Prepare Data for Exploration Module 3 of the Google Analytics Certificate - Coursera - Google.
02/16/2022 Ask Questions to make Data-Driven Decisions Module 2 of the Google Analytics Certificate - Coursera - Google.
11/30/2021 Foundations: Data, Data, Everywhere Module 1 of the Google Analytics Certificate– Coursera - Google.
05/15/2020 – 21/06/2020 Introducción a la Programación en Python – Coursera – Pontifica Universidad Católica de Chile.
05/15/2020 – 21/06/2020 Introducción a los Modelos de Demanda de Transporte – Coursera – Pontifica Universidad Católica de Chile.
05/15/2020 – 21/06/2020 Análisis de Sistemas de Transporte – Coursera – Pontifica Universidad Católica de Chile.
05/15/2020 – 21/06/2020 Ingeniería del Tráfico – Coursera – Pontifica Universidad Católica de Chile.
MASTER IN LOGISTICS & TRANSPORT WITH A MENTION IN OPTIMIZATION MODELS • ESPOL (Escuela Superior Politécnica del Litoral) • Graduated 2018
As a distinguished graduate of the Master in Logistics and Transport with a Mention in Optimization Models, I possess an advanced understanding of the intricate interplay between logistics, transportation, and mathematical optimization. This comprehensive program delves beyond theoretical concepts, equipping me with a robust mathematical background that enables me to develop and apply optimization models in diverse fields, including logistics, transportation, production, and assignment. With a sharp focus on practical applications, I have gained expertise in process simulation and demand forecasting, leveraging globally recognized software programs to deliver accurate insights and efficient solutions. This rigorous academic journey has fostered my ability to address complex logistical challenges, optimize supply chain operations, and enhance transportation efficiency. Armed with this specialized knowledge, I am uniquely positioned to design innovative strategies, drive cost-effective solutions, and optimize resource allocation for organizations operating in dynamic and demanding logistics and transport environments.
11/15 - 24/2016 Mathematical model with applications in GAMS – ESPOL- AE FCNM.
11/12/2015 Data Analysis Tools – Coursera – Wesleyan University.
11/11/2015 IS – 00100.b Introduction to Incident Command System ICS – 100 – FEMA (Federal Emergency Management Agency).
11/10/2015 IS – 00453 Introduction to Homeland Security Planning – FEMA (Federal Emergency Management Agency).
10/27/2015 Data Visualization – Coursera – Wesleyan University.
10/13/2015 IS – 00907 Active Shooter – FEMA (Federal Emergency Management Agency).
05/30/2015 Data Scientist’s toolbox – Coursera – Johns Hopkins University.
06/30/2015 R Programming – Coursera – Johns Hopkins University.
06/30/2015 Questionnaire Design for Social Surveys – Coursera – University of Michigan.
05/20/2015 Regression Models in practice – Coursera – Wesleyan University.
04/09/2015 Regression Models – Coursera – Johns Hopkins University.
02/03/2015 Econometrics Methods & Applications – Coursera – Erasmus University Rotterdam.
02/20/2010 Six Sigma Tools to improve processes – ESPOL – AME.
ECONOMIST • ESPOL (Escuela Superior Politécnica del Litoral) • Graduated 2000
As an accomplished economist with a strong foundation in statistical analysis, I possess the expertise to meticulously examine and interpret economic variables. With an extensive understanding of statistical methods, I excel in conducting rigorous numerical and trend analysis to derive valuable insights into complex economic phenomena. Equipped with advanced statistical techniques, I adeptly uncover patterns, relationships, and correlations within data, enabling me to make informed decisions, identify market trends, and formulate effective strategies. My ability to harness the power of statistical analysis empowers me to provide accurate forecasts, evaluate economic risks, and drive evidence-based solutions for optimizing financial performance. With a relentless passion for statistics and its transformative potential, I continuously refine my skills to stay at the forefront of data-driven economic analysis.
Experience / Qualifications
I have worked with Undergraduate and Postgraduate students from Japan, Spain, Chile and USA. Currently I am working with a student from Spain and another from Japan reviewing basics of Statistics, Data analysis using both Microsoft Excel and RStudio.INSTITUTO TECNOLÓGICO BOLIVARIANO – ITB • SECTOR: EDUCATION • 10/17/2019 – NOWADAYS
Faculty at Instituto Tecnológico Bolivariano de Guayaquil, School of Transport. Subjects I teach include Operations research in Transport, Intelligent Transportation Systems and Traffic Management and Modelling.
MEGA APOLO • SECTOR: EMPRESARIAL • 08/05/2019 – 09/30/2019
Purchase chief at Mega Apolo. Responsible of merchandise purchases, receipt and registration of collections from sales representatives, product conversion.
UNIVERSIDAD TECNOLÓGICA EMPRESARIAL DE GUAYAQUIL – UTEG • SECTOR: EDUCACIÓN • 07/08/2019 – 01/2020
Faculty at Universidad Tecnológica Empresarial de Guayaquil. Subjects I have taught include Tecnología del medio de transporte, Tecnología de la Carga, Operaciones del medio de transporte.
PEAK PERFORMANCE INTERNATIONAL • SECTOR: EDUCATION • SAT MATH TUTOR • 06/14/2014 – 06/15/2015
Helped students with their preparation for the mathematical section of the SAT.
UNIVERSIDAD DE ESPECIALIDADES ESPÍRITU SANTO – UEES • SECTOR: EDUCATION • FULLTIME FACULTY • 11/2007 – 02/28/2014
Statistics and Calculus teacher for ICP (International Careers Program – UEES – (593)42835630), subjects I taught include Calculus 1 & 2, Statistics 1 & 2. For stats I used Microsoft Excel and whenever possible software statistical packages such as SPSS and Minitab. All of these subjects were taught in English.
PRESENT LINGUISTIC CORPORATION • SECTOR: EDUCACIÓN • COORDINATOR ASSISTANT & ENGLISH TEACHER • 05/12/2002 – 05/04/2004
Customer service, staff management, schedule programming, conflict management and English classes.
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Send a message explaining your needs and Juan will reply soon:
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from £18.66Online via webcam
100% Satisfaction Guarantee
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If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since June 2023
- Phone number verified
- Google connected
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from £18.66Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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Amin
Scientific subjects (Math, Physics, Chemistry) for students of the French mission/for middle and high school studentsThis course aims to provide you with the knowledge and tools needed to better understand and master mathematics and physics. We offer personalized support to students of all specialties.
Sessions can be tailored to your specific needs, whether you are alone or in a group. We adjust the sessions according to your level and expectations.
Please do not hesitate to contact us if you have any questions.
Mavi
IB MYP, IGCSE, GCSE Algebra,courses/support for all levelsI am Mavi, a physics engineer working at an aerospace company.
I have been teaching private lessons at the primary, secondary, high school, and university preparatory levels for 9 years. I teach mathematics, physics, chemistry, and science. I have a good command of the curricula of IB, IGCSE, American, Hong Kong, and international schools.
Additionally, I hold the position of president at the Astronomy Society, where I foster my students' interest in astronomy and science beyond the lessons. I prepare the learning environment by incorporating experiments and exploration, moving away from rote education. I often bring experimental materials to class, aiming to make learning memorable through hands-on experiments.
As an educational mentor, I approach my students as if they were my siblings, valuing creativity. I have a deep passion for mathematics, physics, and science. I am dedicated to helping students understand and learn because life encompasses both SCIENCE and ART. The more people I can inspire to know, understand, and love mathematics, physics, and chemistry, the more proud I am.
Are you curious about how nature works?
Let's explore together!
Amine
Mathematics and Physics-Chemistry courses in Lausanne and surrounding areasI am a young, passionate teacher with great ease in the areas of mathematics and physics-chemistry. My teaching method is distinguished by my patience and my dedication to the success of my students. I love feeling useful by helping others understand and master sometimes complex concepts.
My sense of humor and my youth are also assets that allow me to create a relaxed and pleasant atmosphere during classes. I firmly believe that learning is most effective when students feel comfortable and confident. I am therefore committed to creating a learning environment where my students feel encouraged to ask questions and explore new concepts.
My top priority is the success of my students. I am committed to providing personalized support and adapting my teaching methods according to the specific needs of each student. I am patient and persistent, and I am willing to explain concepts as many times as necessary until they are fully understood.
Whether you need help solving complex math problems or understanding the fundamentals of physics and chemistry, I'm here to support you throughout your learning journey.
Robert
Math / Stat / Proba, Physics / Chemistry, and Bio, At Your Place, At My Place, or RemotelyA highly experienced Franco-Belgian teacher (ook in het nederlands!) offers private lessons in mathematics (including finance), probability and statistics, as well as physics, chemistry, and biology for secondary and higher education levels. For physics, chemistry, and biology, the instruction is tailored to the secondary level, specifically up to the 5th year of secondary education in Belgium.
Whether you prefer lessons at your place, my place, or remotely, I am flexible to accommodate your needs. If necessary, I can travel to your home in Brussels, Walloon and Flemish Brabant, with a minimum duration of 2 hours per session. The lessons are designed to provide extensive practice with numerous exercises. Distance learning options are also available through platforms such as Skype, Facebook, etc. Please note that for students in France, only distance learning courses are provided.
In mathematics, I specialize in various topics and frequently provide lessons covering the entire secondary school curriculum, including math 6 and higher. These topics encompass factorization, equations of the 1st and 2nd degree (with in-depth study of parabolas), limits, derivatives, integrals, exponentials and logarithms, as well as trigonometry. Additionally, I am occasionally called upon to teach analytical geometry in space, including equations of lines and planes.
For statistics and probabilities, I provide instruction in descriptive and inferential statistics (univariate and bivariate), covering confidence intervals and hypothesis tests, applicable to secondary and higher education levels.
Feel free to reach out to me to discuss and arrange the lessons based on your specific needs and availability. My aim is to help you enhance your skills effectively and provide personalized instruction. By tailoring the lessons to your requirements, we can ensure rapid progress in your studies.
Jeremy
Physics & Maths Lessons! - Experience with Belgian and EU Baccalaureate, IB, CCVX, University Applications & Learning DisabilitiesHi,
My name is Jeremy and I have a Master's in Physics with honors from the University of Leicester (featured as a top 5 Physics university in the UK by The Guardian) and a - french - European School diploma in which I achieved 90% in Physics and 85% in Maths.
Helping others understand difficult topics and skills is something that I am very passionate about as an empathetic person. I have experience teaching Physics and Maths to kids from unprivileged backgrounds at the homework school in Saint-Gilles (CASG du Service Social Juif asbl) as well as through 3 years of private teaching.
In my classes, I aim to:
- help students achieve better grades in exams/tests in all branches of Physics & Maths
- clearly explain and break down topics
- give context and or example applications of topics (to improve understanding and memorization)
- help with ADHD & other learning disabilities
- give practical advice for university applications (eg. UCAS in the UK) and discuss the exciting Physics research/work and projects you can work on later in life
Physics has a plethora of useful and fascinating applications, from the detection of Gravitational Waves and Gamma-Ray Bursts to the development of novel Medical Imaging techniques and Nano-technology (eg: smartphones). It is a subject that I am very passionate about and I hope to make use of my years of experience and extensive knowledge to help you understand and love the subject! My lessons will always be tailored to the individual needs of the student, so please do not hesitate to contact me if you have questions!
Salah Eddine
Math support courses for high school students (Science Maths, Science Exp, Letters ...)As a teaching professional, I have always enjoyed sharing my knowledge. My goal is to provide quality education. I am aware that some topics may seem complex, but often this is simply the result of an inadequate explanation by the teacher. With me, you will discover a real interest in the material!
We strive together to achieve academic excellence, overcoming the shortcomings and difficulties encountered by your child. Studies will become a pleasant experience for him. In addition to the courses, I can also help with school orientation, identifying their preferences and highlighting the advantages and benefits of a fulfilling educational ambition.
The sessions generally take place according to the following stages:
1️⃣ The first sessions are devoted to the assessment of the student's level in order to detect existing gaps.
2️⃣ Next, we create a personalized plan to address these gaps, including the number of hours of work needed, specific areas to focus on, and appropriate training and development exercises.
3️⃣ We stay in constant contact with the student's class teacher, to keep up to date with the latest requirements and ensure a consistent approach.
4️⃣ Subsequently, I provide exams similar to those that are likely to be asked in class, to prepare the student effectively.
5️⃣ Upon request, I write a regular report, usually monthly, to keep parents informed of their child's progress throughout their course.
I adapt my methodology according to the specific needs of each student, thus offering them a personalized and adapted work approach.
In addition, I offer crash courses for students preparing for the start of the school year, allowing them to start the year well prepared, with a solid lead on the school curriculum.
If you have any questions, do not hesitate to contact me. I will be happy to help you.
Benson
Mathematics (Cambridge IGCSE / GCSE / Pearson Edexcel / Oxford AQA / O-Levels)Learn with the best, most experienced, and certified Cambridge tutor. I am a qualified and certified physical and online tutor located in Lusaka, Zambia.
As an internationally qualified, experienced, and certified teacher, I specialize in Mathematics and Sciences (Physics, Chemistry, and Biology). With 5 years of teaching experience with international students, I am well-versed in various international curricula such as the Cambridge International Education of the UK, CBS curricula, Edexcel Curriculum, International Baccalaureate Diploma, and American curriculum.
I offer full-time and part-time tutoring to students from the USA, the Caribbean, the UK, India, China, Singapore, Malaysia, Turkey, the Netherlands, Luxembourg, Belgium, Germany, France, Italy, and South Africa.
Book a lesson with me, and we can start on any day and time that suits you.
With my 5 years of professional experience in Mathematics, I bring a high level of competence to my teaching. I am very familiar with both the British and American curricula, ensuring that I can provide comprehensive instruction tailored to the needs of my students.
Mohamed
Experienced Teacher for Mathematics Preparation - From Brevet (3rd) to TerminaleAs a first grade mathematics teacher graduated from the higher school of teachers and having taught for 11 years in public high school, I offer tutoring lessons in mathematics at home for middle and high school students of levels T and Common Core Sciences , Technological TC, 1st Baccalaureate in Experimental and Terminal Sciences of all sectors (SVT-PC-SC.Math-L), as well as for the 2nd and 1st general classes Terminale specialty of the French system, and the 5th, 4th and 3rd levels from college.
My goal is to help students improve their level, deepen their knowledge, assimilate their lessons, fill their gaps and improve. I am also able to support them in the preparation of their exams and entrance exams to the Grandes Ecoles, as well as providing them with homework help.
I am convinced that I have the qualities required to allow my students to progress and perhaps even give them a taste for this subject.
Shelly
Experienced Educator Specializing in Advanced Mathematics and Competitive Exam TrainingWith over 15 years of teaching experience, I am an accomplished educator specializing in Mathematics and Computer courses at advanced levels. My expertise includes preparing students for competitive exams like IIT JEE and IIM CAT, helping them achieve outstanding results. I have a strong ability to simplify complex concepts, making them accessible and engaging for learners. My teaching methodology combines deep subject knowledge with effective problem-solving strategies. Over the years, I have guided countless students toward academic and professional success. My passion for education is evident in my commitment to student growth and achievement. I stay updated with the latest teaching techniques and exam trends, ensuring relevance in my approach. Beyond academics, I focus on nurturing analytical thinking and time management skills in students. My extensive experience also includes mentoring peers and developing tailored learning materials. This dedication makes me a trusted and inspiring figure in the field of advanced education.
Marwan
Make Learning Math Exciting for Your Child! Give your child a head start in mathUnlock the joy of math with our fun and interactive online classes, designed specifically for kids! We transform complex math concepts into engaging activities that spark curiosity and build confidence.
With personalized instruction from experienced teachers, your child will develop essential math skills at their own pace. From problem-solving to mental math, we create a supportive environment that makes learning enjoyable and effective.
Give your child a head start in math—enroll them in our online classes today and watch them thrive!