We may earn an affiliate commission when you visit our partners.
José Antonio Núñez Mora
This course allows you to develop skills of a decision maker leader based on the following competencies:
- analysis of statistical elements of information
- concepts and statistical foundations for the application of the area of data science
Through descriptive statistics, the study and analysis of discrete and continuous probability distributions, as well as the estimation by intervals for the mean and the proportion, it is how you will be able to develop both skills.
Read more
This course allows you to develop skills of a decision maker leader based on the following competencies:
- analysis of statistical elements of information
- concepts and statistical foundations for the application of the area of data science
Through descriptive statistics, the study and analysis of discrete and continuous probability distributions, as well as the estimation by intervals for the mean and the proportion, it is how you will be able to develop both skills.
Read more
This course allows you to develop skills of a decision maker leader based on the following competencies:
- analysis of statistical elements of information
- concepts and statistical foundations for the application of the area of data science
Through descriptive statistics, the study and analysis of discrete and continuous probability distributions, as well as the estimation by intervals for the mean and the proportion, it is how you will be able to develop both skills.
What you'll learn
Through this course, participants will be able to:
● Apply basic statistical methods to the business environment
● Use technological tools to develop quantitative skills
● Interpret the results of statistical methods applied to businesses
Register for this course and see more details by visiting:
OpenCourser.com/course/ymuj2z/introduction
What's inside
Syllabus
Topic 1: Descriptive statistics
1.1 Types of data; Measurement scales; Organization of qualitative and quantitative data; Graphic representation;
Read more
Syllabus
Topic 1: Descriptive statistics
1.1 Types of data; Measurement scales; Organization of qualitative and quantitative data; Graphic representation;
Read more
1.2 Measures of central tendency; Position measurements; Measures of dispersion; Descriptive statistics on your laptop
Topic 2: Discrete Probability Distributions
2.1 Discrete random variable; Density and cumulative probability functions; Mean and variance of a discrete random variable; Fundamental properties;
2.2 Poisson distribution ; Binomial Distribution
Topic 3: Continuous Probability Distributions
3.1 Continuous random variable; Density and cumulative probability functions; Mean and variance of a continuous random variable; Fundamental properties;
3.2 Uniform Distribution; Normal distribution
Topic 4: Interval estimation for the mean and proportion
4.1 Confidence intervals calculation; Calculation of sample size required for a given estimation error;
4.2 Student's t distribution.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Capacita en métodos estadísticos básicos aplicables al entorno empresarial
Enseña habilidades cuantitativas a través del uso de herramientas tecnológicas
Desarrolla la capacidad de interpretar resultados estadísticos en el contexto empresarial
Abarca aspectos fundamentales de la estadística descriptiva
Explora distribuciones de probabilidad discretas y continuas
Introduce métodos de estimación por intervalos para la media y la proporción
Save this course
Save Introduction to Data Science and Basic Statistics for Business to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Data Science and Basic Statistics for Business with these
activities:
Review basic statistics concepts
Show steps
Refreshing your knowledge of basic statistics concepts will help you build a strong foundation for the course.
Browse courses on
Descriptive Statistics
Show steps
-
Read through your notes from a previous statistics course
-
Take practice quizzes or review online resources
-
Attend a review session offered by the instructor or a tutor
Review course syllabus and materials
Show steps
Reviewing the syllabus and materials will help you get an overview of the course and identify any areas where you may need additional support.
Show steps
-
Download and read the course syllabus
-
Review the course schedule and identify any potential conflicts
-
Identify any textbooks or other required materials and purchase or rent them
Compile a list of statistical resources
Show steps
Compiling a list of statistical resources will help you find the information you need quickly and easily.
Show steps
-
Search for online resources such as websites, articles, and videos
-
Identify books and journals that are relevant to the course
-
Organize the resources into a spreadsheet or document
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group or participate in online discussions
Show steps
Participating in a study group or online discussions will allow you to connect with other students and learn from their perspectives.
Show steps
-
Find a study group or online discussion forum
-
Introduce yourself and share your goals
-
Participate in discussions and ask questions
Solve practice problems on statistical concepts
Show steps
Solving practice problems will help you apply the statistical concepts you learn in class and improve your problem-solving skills.
Browse courses on
Descriptive Statistics
Show steps
-
Find practice problems in your textbook or online
-
Work through the problems step-by-step
-
Check your answers against the provided solutions
Watch online tutorials on statistical concepts
Show steps
Watching online tutorials can provide you with additional support and clarification on statistical concepts.
Browse courses on
Descriptive Statistics
Show steps
-
Search for online tutorials on specific statistical topics
-
Watch the tutorials and take notes
-
Try to apply the concepts you learn to practice problems
Create a study guide on a specific statistical topic
Show steps
Creating a study guide will help you organize and retain the information you learn in class.
Browse courses on
Descriptive Statistics
Show steps
-
Choose a topic that you want to learn more about
-
Gather information from your textbook, class notes, and other resources
-
Organize the information into a logical outline
-
Write a summary of each key point
-
Add practice problems and examples to illustrate the concepts
Review basic statistics concepts
Show steps
Refreshing your knowledge of basic statistics concepts will help you build a strong foundation for the course.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Read through your notes from a previous statistics course
- Take practice quizzes or review online resources
- Attend a review session offered by the instructor or a tutor
Review course syllabus and materials
Show steps
Reviewing the syllabus and materials will help you get an overview of the course and identify any areas where you may need additional support.
Show steps
Show steps
Show steps
- Download and read the course syllabus
- Review the course schedule and identify any potential conflicts
- Identify any textbooks or other required materials and purchase or rent them
Compile a list of statistical resources
Show steps
Compiling a list of statistical resources will help you find the information you need quickly and easily.
Show steps
Show steps
Show steps
- Search for online resources such as websites, articles, and videos
- Identify books and journals that are relevant to the course
- Organize the resources into a spreadsheet or document
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group or participate in online discussions
Show steps
Participating in a study group or online discussions will allow you to connect with other students and learn from their perspectives.
Show steps
Show steps
Show steps
- Find a study group or online discussion forum
- Introduce yourself and share your goals
- Participate in discussions and ask questions
Solve practice problems on statistical concepts
Show steps
Solving practice problems will help you apply the statistical concepts you learn in class and improve your problem-solving skills.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Find practice problems in your textbook or online
- Work through the problems step-by-step
- Check your answers against the provided solutions
Watch online tutorials on statistical concepts
Show steps
Watching online tutorials can provide you with additional support and clarification on statistical concepts.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Search for online tutorials on specific statistical topics
- Watch the tutorials and take notes
- Try to apply the concepts you learn to practice problems
Create a study guide on a specific statistical topic
Show steps
Creating a study guide will help you organize and retain the information you learn in class.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Choose a topic that you want to learn more about
- Gather information from your textbook, class notes, and other resources
- Organize the information into a logical outline
- Write a summary of each key point
- Add practice problems and examples to illustrate the concepts
Career center
Learners who complete Introduction to Data Science and Basic Statistics for Business will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use statistical methods and technological tools to extract meaningful insights from data. This course introduces the concepts and foundations of data science and basic statistics, providing a strong foundation for a career as a Data Analyst. Through hands-on activities, you will learn to analyze data, interpret results, and communicate findings, skills that are highly valued in the field.
Business Analyst
Business Analyst
Business Analysts use data to understand and improve business processes. This course provides the statistical and data science skills needed to succeed in this role. You will learn to analyze data, identify trends, and make recommendations based on evidence, skills that are essential for Business Analysts.
Statistician
Statistician
Statisticians use statistical methods to collect, analyze, and interpret data. This course provides a strong foundation in statistics, covering topics such as descriptive statistics, probability distributions, and interval estimation. These skills are essential for a successful career as a Statistician.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course provides the statistical and data science skills needed to succeed in this role. You will learn to build and evaluate models, interpret results, and make recommendations based on evidence, skills that are highly valued in the field.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior and trends. This course provides the statistical and data science skills needed to succeed in this role. You will learn to design and conduct surveys, analyze data, and present findings, skills that are essential for Market Researchers.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course provides the statistical and data science skills needed to succeed in this role. You will learn to collect, analyze, and interpret data, and build and evaluate models, skills that are highly valued in the field.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to improve the efficiency of business processes. This course provides the statistical and data science skills needed to succeed in this role. You will learn to build and evaluate models, interpret results, and make recommendations based on evidence, skills that are highly valued in the field.
Actuary
Actuary
Actuaries use statistical and mathematical methods to assess risk and uncertainty. This course provides a strong foundation in statistics, covering topics such as probability distributions, interval estimation, and regression analysis. These skills are essential for a successful career as an Actuary.
Financial Analyst
Financial Analyst
Financial Analysts use data to analyze financial performance and make investment recommendations. This course provides the statistical and data science skills needed to succeed in this role. You will learn to analyze financial data, build and evaluate models, and make recommendations based on evidence, skills that are highly valued in the field.
Market Intelligence Analyst
Market Intelligence Analyst
Market Intelligence Analysts use data to understand market trends and identify opportunities. This course provides the statistical and data science skills needed to succeed in this role. You will learn to collect, analyze, and interpret data, and present findings, skills that are essential for Market Intelligence Analysts.
Risk Analyst
Risk Analyst
Risk Analysts use statistical and mathematical methods to assess and manage risk. This course provides the statistical and data science skills needed to succeed in this role. You will learn to build and evaluate models, interpret results, and make recommendations based on evidence, skills that are highly valued in the field.
Data Engineer
Data Engineer
Data Engineers design and build systems to manage and analyze data. This course provides the statistical and data science skills needed to succeed in this role. You will learn to collect, clean, and prepare data for analysis, skills that are essential for Data Engineers.
Software Engineer
Software Engineer
Software Engineers design and develop software applications. This course may be useful for Software Engineers who want to develop data-driven applications. You will learn the basics of statistics and data science, which can be applied to a variety of software development projects.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of an organization. This course may be useful for Operations Managers who want to use data to improve their decision-making. You will learn the basics of statistics and data science, which can be applied to a variety of operations management tasks.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns. This course may be useful for Marketing Managers who want to use data to improve their campaigns. You will learn the basics of statistics and data science, which can be applied to a variety of marketing tasks.
For more career information including salaries, visit:
OpenCourser.com/course/ymuj2z/introduction
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Data Science and Basic Statistics for Business.
Este libro de texto clásico proporciona una base sólida en probabilidad y estadística, cubriendo temas desde distribuciones de probabilidad hasta inferencia estadística.
Este libro práctico se enfoca en aplicaciones comerciales de la ciencia de datos, proporcionando ejemplos del mundo real.
Este libro enseña los conceptos básicos del aprendizaje profundo, que es una subespecialidad de la ciencia de datos.
Este libro práctico enseña el lenguaje de programación R, que es ampliamente utilizado en la ciencia de datos.
Este libro único enseña conceptos de ciencia de datos desde cero, utilizando el lenguaje de programación Python.
Este libro ofrece una introducción a los conceptos de aprendizaje automático, utilizando Python como lenguaje de programación.
Este libro enseña los conceptos básicos de programación de Python, que es esencial para la ciencia de datos.
Este libro ofrece una introducción accesible al aprendizaje automático, que es un componente clave de la ciencia de datos.
Este libro proporciona una visión general de la minería de datos, que se utiliza para extraer información valiosa de grandes conjuntos de datos.
Este libro popular proporciona una explicación clara y concisa de los conceptos estadísticos, haciéndolo accesible para principiantes.
Save
Este libro entretenido y fácil de leer demuestra que las estadísticas no tienen por qué ser intimidantes.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ymuj2z/introduction
Share
Similar courses
Here are nine courses similar to
Introduction to Data Science and Basic Statistics for Business.
Statistics 2 Part 2: Statistical Inference
OpenCourser.com/course/mw9tcx/statistics
Statistics 2 Part 2: Statistical Inference
Most relevant
Analytics for Decision Making
OpenCourser.com/course/xmiz3w/analytics
Analytics for Decision Making
Most relevant
Statistics 2 Part 1: Probability and Distribution Theory
OpenCourser.com/course/fbmmc5/statistics
Statistics 2 Part 1: Probability and Distribution Theory
Most relevant
Statistics 1 Part 2: Statistical Methods
OpenCourser.com/course/b08gok/statistics
Statistics 1 Part 2: Statistical Methods
Most relevant
Statistics 1 Part 1: Introductory statistics, probability and estimation
OpenCourser.com/course/64ib8e/statistics
Statistics 1 Part 1: Introductory statistics, probability...
Most relevant
Data Analysis for Business: Foundations
OpenCourser.com/course/c13dkt/data
Data Analysis for Business: Foundations
Most relevant
Risk Models for Project Managers: Monte Carlo and Beyond
OpenCourser.com/course/fvdljz/risk
Risk Models for Project Managers: Monte Carlo and Beyond
Most relevant
Statistics for Sales and Marketing
OpenCourser.com/course/4dark8/statistics
Statistics for Sales and Marketing
Most relevant
Statistics for Data Science and Business Analysis
OpenCourser.com/course/t9v98x/statistics
Statistics for Data Science and Business Analysis
Most relevant
Effort
5 to 8 hours per week for 4 weeks
Level
Elementary
Via
edX
Institution
Tecnológico de Monterrey
Instructor
José Antonio Núñez Mora
Session
April 15, 2024
- April 20, 2025
Language
Español
Transcript
English
This course belongs to a
collection
called
Essential quantitative business skills. It's comprised of three courses:
- Financial information and its analysis
- Introduction to Mathematics for Finance and Business
- Introduction to Data Science and Basic Statistics for Business (viewing)
Good to know
Capacita en métodos estadísticos básicos aplicables al entorno empresarial
Enseña habilidades cuantitativas a través del uso de herramientas tecnológicas
Desarrolla la capacidad de interpretar resultados estadísticos en el contexto empresarial
Abarca aspectos fundamentales de la estadística descriptiva
Explora distribuciones de probabilidad discretas y continuas
Introduce métodos de estimación por intervalos para la media y la proporción
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser