Statistics

Sort options

Probability - The Science of Uncertainty and Data (edX)

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference. The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of [...]
3
Average: 3 ( 3 votes )

Fundamentals of Statistics (edX)

Jan 22nd 2022
Fundamentals of Statistics (edX)
Course Auditing
Categories
Effort
Languages
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. Statistics is the science of turning data into insights and ultimately decisions. Behind recent advances in machine learning, data science and artificial intelligence are fundamental statistical principles. The purpose of this class is [...]
0
No votes yet

Probability and Statistics in Data Science using Python (edX)

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such [...]
10
Average: 10 ( 3 votes )

Эконометрика (Econometrics) (Coursera)

Мы будем учиться находить и оценивать зависимости в реальных данных, а также визуализировать, интерпретировать и использовать их для прогнозирования. We will learn to identify and estimate relationships in the real data, as well as visualize, interpret and apply them for making predictions.
0
No votes yet

Statistical Inference and Hypothesis Testing in Data Science Applications (Coursera)

This course will focus on theory and implementation of hypothesis testing, especially as it relates to applications in data science. Students will learn to use hypothesis tests to make informed decisions from data. Special attention will be given to the general logic of hypothesis testing, error and error rates, [...]
0
No votes yet

Fundamentos de estadística aplicada (Coursera)

El curso está orientado a profesionales de diferentes campos, que estén interesados en adquirir conceptos fundamentales de estadística aplicada. El contenido del curso será particularmente útil para profesionales que estén interesados en adelantar estudios de postgrado en ingeniería, administración o economía, entre otras profesiones, y que requieran de una [...]
0
No votes yet

Estadística y probabilidad (Coursera)

En este curso podrás apoyar tu formación en temas de estadística y probabilidad I. Más allá de que encuentres aquí un apoyo para lograr una calificación, el curso busca ayudarte a que adquieras los aprendizajes que comprenden temas de estadística descriptiva, datos bivariados y probabilidad, los cuales te serán [...]
0
No votes yet

Forecasting Univariate Time Series with an LSTM (Coursera)

Nov 1st 2021
Forecasting Univariate Time Series with an LSTM (Coursera)
Free Course
Categories
Effort
Languages
Create a Jupyter Notebook in order to forecast a univariate time series (in our case new one family home sales) using an LSTM. You will also be able to tell when univariate time series have the appropriate structure to be forecasted with LSTM's or even using any other univariate [...]
0
No votes yet

Data Science as a Field (Coursera)

This course provides a general introduction to the field of Data Science. It has been designed for aspiring data scientists, content experts who work with data scientists, or anyone interested in learning about what Data Science is and what it’s used for. Weekly topics include an overview of the [...]
0
No votes yet

Inferential Statistics (Coursera)

This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you [...]
0
No votes yet