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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.

    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

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    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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    Good-fit Instructor Guarantee


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    Mathematics and Physics-Chemistry courses in Lausanne and surrounding areas
    I 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.

    Hasmik
    Class of Mathematics, Probability, Statistics, Economics
    I am a graduate student in data science and very passionate about Math, Statistics. I can help students and pupils with current assignments, to prepare for class exams, tests. I am aware of the “struggle” students have with math and statistics subjects, and my tutoring methods make them to be passionate about seemingly complex subjects. I help them to understand the subjects in very practical ways and I am very student oriented. I am available on weekends and late evenings on weekdays.

    Ovidiu
    Mathematics, statistics, data science, Python and R
    Greetings! I am a geospatial analyst at Transport for London and I specialise in running statistical analysis in R and Python, as well as analysing large sets of data and building and running Geographic Information Systems (GIS) through different technologies. As part of my specialisation, I teach and assist early and mid-career individuals with data science and statistics, including the programming languages Python and R. I would be more than happy to help with specific projects the students have in mind, if applicable. Otherwise, I have student-focused study programmes that provide the foundations as well as more advanced knowledge and skills. Feel free to contact me for a chat!

    Akshar
    Experienced Maths and Science Tutor from KS2 to A levels
    I am an experienced tutor specialising in Maths and Sciences up to GCSEs and A-level Biology and Chemistry. I have accumulated seven years of experience. I have had the opportunity to work with several leading tutoring agencies and headteachers. My lesson style is holistic and suited to each student. I use a digital pad to annotate my interactive presentation and when solving a math problem. This gives an in-person touch and enables the student to follow through. I also set homework, mainly exam questions and worksheets. The work is usually reviewed in our next session.

    Max
    GCSE or N5 - Maths, Physics, or Chemistry tutoring from university maths student
    I am a first year maths student at the University of Edinburgh. I have eleven GCSEs all grade 9 and four A*s in Maths, Further Maths, Physics, and Chemistry. If you or your child want tutoring in GCSE or N5 Maths, Physics, or Chemistry, or if you want to work on some problem solving skills, I'll be glad to help.

    Rohit
    Introduction to fractions, exploring them and fun activities
    Welcome to our exciting class on fractions! We're going to learn about how we can share things, divide them up, and even make sense of parts of a whole using something called fractions. Have you ever shared a pizza with your friends, or cut a cake into pieces? Then you've already been using fractions! In this class, we’ll: 1. Explore what fractions are and how to write them. 2. Play games to understand how fractions work. 3. Practice adding, subtracting, and comparing fractions, like figuring out who has the bigger slice of cake! 4. And by the end of this class, you'll be a fraction expert, ready to use fractions in real life.