from17.67GBP/ h
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 £17.67Online via webcam
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from £17.67Online 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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Shared Strategies: As a student who has successfully qualified for the Engineering Entrance exam test and is currently studying abroad on a fully funded scholarship, I bring my own learning strategies and study techniques to the table. These proven methods will help students achieve their academic goals.
Continuous Improvement: I am always learning and growing, just like my students. This continuous improvement mindset, which I actively promote, inspires and motivates students to strive for their best. It enables me to stay updated with the latest educational trends and techniques, ensuring that my students receive the best possible guidance.
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.
Bibek
Limit, Derivative, Integral (or Anti-derivative) and their Applications (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 the high school and university-level students.
This class aims to provide an overview of calculus 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 their applications.
Note that this course will be tailored to your specific needs, and we could mainly focus on the topics you are struggling with. Furthermore, please feel free to contact me and suggest any other topics you would like me to cover and teach.
Outline of the course:
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1.1 Limits of functions
1.2 Evaluate the limits using L'Hospital's rule (for 0/0, ∞/∞)
1.3 Continuity, types of discontinuities, intermediate value theorem
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1.4 Introduction to differentiation (or derivative)
1.5 Tangent line to a curve, slope, instantaneous velocity
1.6 Rules and theorems for differentiation: power rule, product rule, chain rule
1.7 Derivatives of exp, log, and trigonometric functions
1.8 Implicit function and implicit differentiation
1.9 Derivative of inverse functions
1.10 Second and higher-order derivatives
1.11 Application of derivatives
1.12 Geometrical interpretation of the derivative of a function
1.13 Rolle's theorem, mean value theorem, critical point, maximum/minimum of a function
1.14 First and second derivative tests, inflection points
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1.15 Anti-derivative, indefinite integral
1.16 Techniques of integration: integration by substitution, integration by parts
1.17 Definite integral and its application (area between curves, application in physics)
1.18 Area as a definite integral
1.19 Areas between two curves
and many more...
*Note that the sessions will be held online (via Discord/Zoom/Microsoft Teams).
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.
Sanne
Mathematics tutoring (A, B, C) for vmbo, havo and vwo / tutoring in mathematics (A, B, C) for middle and high school students*ENGLISH BELOW*
Hello! My name is Sanne (23) and as a master student in Molecular Life Sciences I have a great passion for biochemistry. I have several years of experience and have helped more than 20 students with various science subjects. I offer tutoring for the subject mathematics (mathematics A, B and C). Whether you need help with a specific chapter, or want to follow a broader exam training.
During the tutoring we will mainly work together on assignments and I will support you in the thinking process. In addition to the lessons, it is of course also the intention that you work independently. You need a calculator yourself.
Tutoring in pairs or small groups (for example with classmates) is possible at a lower rate per person – please contact us for more information!
*ENGLISH*
My name is Sanne (23), and I'm a Master's student in Molecular Life Sciences with a strong passion for biochemistry. I have several years of tutoring experience and have helped over 20 students with various science subjects. I currently offer tutoring sessions in mathematics (A, B, and C) – whether you need help with a specific chapter or are looking for broader exam preparation.
During our sessions, we'll work through exercises together, and I'll guide you through the thought process step by step. Between sessions, it's important for you to work independently on homework assignments too. You'll need your own calculator.
Tutoring in pairs or small groups (eg with a classmate) is possible at a reduced rate per person – feel free to get in touch for more details!
Marko
Cambridge International Curriculum (IGCSE, AS, A Level) Math TeacherCertified IB DP Math Teacher, dedicated to unlocking the world of numbers and equations for students around the globe.
With years of experience in teaching mathematics in an international context, I bring a dynamic and engaging approach to online math education. My extensive background ensures that I am well-equipped to navigate and enhance the learning journey for students in various international programs, including the Cambridge International Programs (IGCSE, AS, A Level). What sets my classes apart is the seamless integration of technology into the learning experience. I conduct my sessions using a graphic tablet, ensuring that the transition to the online format doesn't compromise the quality of education.
Each student receives a complete set of materials from the class via email in PDF format. This ensures that you have comprehensive notes and resources at your fingertips, aiding in thorough understanding and revision.
My classes are designed to be interactive, fostering student participation and collaboration in the virtual learning environment.
I understand the importance of catering to the individual needs and knowledge levels of each student. I adapt my teaching style to meet the unique requirements of my students, ensuring that the material is not only understood but mastered at a pace that suits them. Whether you're a beginner or an advanced learner, my goal is to create a supportive and inclusive learning environment tailored to your specific academic 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.
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.
Ayoub
Private lessons for students of the French missionI am committed to teaching my students while adopting an active teaching method. I put all my experience acquired as a private tutor at the service of their success.
My seriousness, my listening and my kindness allow me to overcome difficulties and excel in:
- Math,
- Chemical Physics,
My courses are aimed at students in the French system from 6th to 12th grade (Speciality: Mathematics, PC)
Alexander Alvarenga
Matemáticas universitarias, Físicas, Termodinámica y todo lo relacionado a la Ingeniería IndustrialLa ingeniería industrial universitaria es la rama de la ingeniería que se enfoca en el diseño, mejora, implementación y operación de sistemas de producción de bienes y servicios. Su objetivo principal es optimizar la eficiencia, aumentar la productividad y reducir costos en diversas organizaciones. Los ingenieros industriales aplican conocimientos en áreas como la gestión de operaciones, la ingeniería de métodos y calidad, la gestión de proyectos y la administración de empresas.
Como docente busco sintetizar los temas necesarios del aprendizaje de las materias dentro de los Pensum universitarios.
Haider
Mathematics Classes for Grades 3 to 11 – Easy Explanations & PracticeThese online math classes are designed to strengthen your understanding of key concepts through personalized explanations, problem-solving sessions, and interactive practice. Whether you're struggling with algebra, geometry, or general math, the lessons will be tailored to your level and pace for better results.
Mona
A teacher of basic subjects for children with learning difficulties: Arabic, mathematics, and English.Learning difficulties are a problem that requires a teacher who is experienced in various learning methods and techniques to facilitate the information and deliver it to the child, regardless of their IQ. Thanks to working with many categories of children with learning difficulties, I have gained sufficient experience to identify the cause of the problem and solve it during learning.