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.
This course is part of the Statistics with Python Specialization
About this Course
High school algebra
What you will learn
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
Skills you will gain
- Data Analysis
- Python Programming
- Data Visualization (DataViz)
High school algebra
Syllabus - What you will learn from this course
WEEK 1 - INTRODUCTION TO DATA
WEEK 2 - UNIVARIATE DATA
WEEK 3 - MULTIVARIATE DATA
WEEK 4 - POPULATIONS AND SAMPLES
- 5 stars76.32%
- 4 stars18.36%
- 3 stars3.52%
- 2 stars0.89%
- 1 star0.89%
TOP REVIEWS FROM UNDERSTANDING AND VISUALIZING DATA WITH PYTHON
Really enjoyed this course. Looking forward to the next part of the specialization. I thought the quality of the lectures was excellent and made the topic interesting and digestible
Good content but I dont like some assigment/assessment, especially the one asking to write a memorandum, which is totally not related to "Understanding and Visualizing Data with Python"
This was a quick way of understanding the basics. I liked how detailed and basic the learning instructions were. Anyone, even those without a statistics background can begin from here
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.
About the Statistics with Python Specialization
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