In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.
Este curso forma parte de Programa especializado: Statistics with Python
Ofrecido Por
Acerca de este Curso
High school algebra
Qué aprenderás
Properly identify various data types and understand the different uses for each
Create data visualizations and numerical summaries with Python
Communicate statistical ideas clearly and concisely to a broad audience
Identify appropriate analytic techniques for probability and non-probability samples
Habilidades que obtendrás
- Statistics
- Data Analysis
- Python Programming
- Data Visualization (DataViz)
High school algebra
Ofrecido por
Programa - Qué aprenderás en este curso
WEEK 1 - INTRODUCTION TO DATA
WEEK 2 - UNIVARIATE DATA
WEEK 3 - MULTIVARIATE DATA
WEEK 4 - POPULATIONS AND SAMPLES
Reseñas
- 5 stars76,23 %
- 4 stars18,43 %
- 3 stars3,53 %
- 2 stars0,90 %
- 1 star0,90 %
Principales reseñas sobre UNDERSTANDING AND VISUALIZING DATA WITH PYTHON
The material was explained thoroughly. It gave me the confidence to apply the knowledge in my own field of research and to explore new methods of visualization in the seaborn package.
I've learned so much about the Python programming as well as general statistical skills. This course also lead me to change my initial university's major from Finance to Data Science.
It is a great introduction to the basics of Statistics, all the concepts were laid out perfectly by the instructors. I can't wait to keep learning with the last 2 courses of the Specialization.
A very basic but good introduction to understanding data. An introduction to data visualization. Not a good introduction to Python, but does show how to use Python functions to present data.
Acerca de Programa especializado: Statistics with Python

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