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Interpreting Data with Python | PathГод выпуска: 2019
Производитель: Pluralsight
Сайт производителя://app.pluralsight.com/paths/skill/interpreting-data-with-python
Автор: Janani Ravi
Продолжительность: 7h 11m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Interpreting Data with Python is a skill that will teach learners how to apply disciplines such as Statistics and Probability to understand data and to prep future models.
What You Will Learn: This skill will convey the most common techniques for using Python to help interpret data, both with and without statistical models.
Prerequisites:
Statistics and ProbabilityPython for Data AnalystsData Analytics LiteracyData Visualization with PythonRelated Topics:
Machine Learning[spoiler="Содержание"]
BeginnerFind relationships in a data set and interpret data with simple statistical models using Python. Finding Relationships in Data with Python (Janani Ravi, 2019) 1. Course Overview
2. Identifying and Visualizing Common Relationships in Data
3. Identifying and Visualizing Probabilistic and Statistical Relationships
4. Using Interactive Visualizations to Explore Relationships in Data Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019) 1. Course Overview
2. Understanding Inferential Statistics
3. Performing Hypothesis Testing in Python
4. Implementing Predictive Models for Continuous Data
5. Implementing Predictive Models for Categorical Data
IntermediateInterpret data without models using Python by calculating common descriptive statistics for central tendency and variability. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019) 1. Course Overview
2. Understanding Descriptive Statistics
3. Working with Descriptive Statistics Using Pandas
4. Working with Descriptive Statistics Using SciPy and Statsmodels
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Файлы примеров: присутствуют
Субтитры: присутствуют
Формат видео: MP4
Видео: H.264/AVC, 1280x720, 16:9, 29fps, 162 kb/s
Аудио: AAC, 48000Hz, 96 kbit/s, 2 channels
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