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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
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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from C$32.44Online via webcam
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from C$32.44Online 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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Supportive Environment: I encourage students to ask questions, no matter how trivial they might seem. By creating a friendly and comfortable atmosphere, I ensure that students feel comfortable and open to express their doubts and curiosities, leading to a deeper understanding of the subjects.
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.
Bibek
Calculus and Linear Algebra (High School and University Level)Hi! Welcome! I am a Ph.D. researcher in Physics at the University of Cologne, Germany. Recently, I graduated from the University of Groningen in the Netherlands with a Master's degree in Nanoscience (w/ cum Laude). I offer private tutoring (for high school and/or university-level students) so you can understand the fundamental concepts and excel in your studies. I have teaching experience of 5+ years in Physics and Mathematics to both high school and university-level students.
This class aims to provide an overview of calculus and linear algebra and focuses on the fundamental mathematical tools and concepts, such as limits, differentiation, and integration. Building on these basic concepts, we will review methods for solving problems related to optimization, linear differential equations, and matrix algebra.
Outline of the course:
1. Calculus:
1.1 Limits of functions
1.2 Continuity, types of discontinuities, intermediate value theorem
1.3 Differentiation (or derivative), slope, secant, tangent
1.4 Rules and theorems for differentiation, power rule, product rule, chain rule
1.5 Derivatives of exp, log, and trigonometric functions
1.6 Implicit differentiation and derivative of inverse functions
1.7 Rolle's theorem, mean value theorem, critical point, maximum/minimum of a function
1.8 First and second derivative tests, inflection points
1.9 Anti-derivative, indefinite integral, integration by substitution, integration by parts
1.10 Definite integral and its application (area between curves, application in physics)\
1.11 Optimization and linear differential equations
2. Linear Algebra:
2.1 Vectors and scalars in Euclidean space, vector arithmetic, scalar product, cross product
2.2 Equations for lines and planes, vector spaces, linear independence, span, basis, dimension
2.3 Linear transformations, coordinates, and representation of linear transformations by matrices
2.4 Matrix operations: matrix multiplication, transpose, determinant, inverse, and Hermitian conjugate
2.5 Systems of linear equations, Gaussian elimination
2.6 Eigenvalues and eigenvectors
2.7 Range, kernel, and rank-nullity theorem
and many more...
*Note that the sessions will be held online (via Discord/Zoom/Microsoft Teams).
Mohamed
Private chemistry lessons for preparatory classes: PC / PCSI / PSI / BTS / MPSIAssociate professor, I offer individual lessons in chemistry and physics to prepare you for exams.
Teaching physics chemistry allowed me to understand the difficulties that students must overcome to learn, especially when it comes to subjects that are still somewhat new. Teaching and providing help in these subjects (chemistry, maths, physics) is my way of being part of society.
In these courses, I will provide students with all the tools necessary to learn and master their subjects and teach them how to use them in the job market.
Do not hesitate to send me a message for more information. Please tell me the level of the student
Ayoub
Boost your results in Physics-Chemistry and MathematicsIt is important to me to teach my students while adopting an active teaching method. I put all my experience acquired as a head teacher and also that of my academic career to the service of their success.
- Mathematics
- Chemical Physics,
- Technology.
My courses are aimed at students in the French system from 6th to 12th grade (Speciality: Mathematics, PC).
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.
Mariem
Alexandre
Succeed in Maths and Physics | MP eligible for the Ecole des Mines de Paris | Adapt to succeedFormer MP student at the Lazarists, eligible for the Ecole des Mines de Paris (with a general average of over 17), I specialize in physics and mathematics. With my experience as a private teacher and as a student, I adapt to each person's difficulties to transmit both the essential keys to success and the passion for mathematics.
The first appointment will focus on a precise diagnosis of the student's difficulties and wishes, using a test and an interview. Following this, I will propose a detailed program within 24 hours, allowing the family and the student to plan for the future.
The following courses focus on the established curriculum.
Fatahadi
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James
Math for highschoolers, college students and academicians.Math is a powerful tool for problem-solving and critical thinking. As a student, you'll need to navigate a variety of mathematical concepts that can often feel overwhelming. I’ve designed this course as a practical and supportive guide to help students build confidence and excel in math—whether you're struggling with the basics or tackling advanced topics.
You’ll learn how to solve equations, understand functions, work with geometry and algebra, and apply mathematical thinking to real-world problems. We'll use clear explanations, step-by-step strategies, and lots of practice to not only improve your grades, but also transform how you approach math with clarity and confidence.
Agatha W
Master Math: High School & College Success Made EasyMath can be challenging, but with the right guidance, anyone can master it. This class is designed to help high school and college students build a strong foundation in mathematics, improve problem-solving skills, and gain confidence in their abilities. Whether you're preparing for exams, catching up on missed concepts, or aiming to get ahead, this class offers clear explanations, step-by-step practice, and real-world applications. We’ll cover key topics such as algebra, geometry, trigonometry, calculus, and more—tailored to your level and goals. By the end of this course, you'll not only understand math better—you'll be able to apply it with clarity and confidence.