Fundamentals of Statistics and Visualization in Python

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    Online

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Learn to display your data using Python's visualization toolsStatistics and visualization in Python can be applied to a wide variety of areas; having these skills is crucial for data scientists. In this course, we explore several core statistical concepts to utilize data; construct confidence intervals in Python and assess the results; discover correlations; and update your beliefs using Bayesian Inference.In this tutorial, you will discover how to use the Statsmodels, Matplotlib, pandas, and Seaborn Python libraries for statistical data visualization. Follow along with author—Dr. Karen Yang, a seasoned data scientist and data engineer—to explore, learn, and strengthen your skills in fundamental statistics and visualization. This course utilizes the Jupyter Notebook environment to execute tasks.By the end of this learning journey, you'll have developed a solid understanding of fundamental statistics and visualization concepts and will be confident enough to apply them to your data analysis projects.Please note that prior knowledge of Python programming and some familiarity with pandas and NumPy are needed in order to get the best out of this course.The code bundle for this course is available at About the AuthorKaren Yang has been a data engineer, an author, and a passionate self-learner of computer science for 7 years. She has 6-years' experience in Python programming and big data processing. Recently, she also has gained experience in cloud computing. Karen holds a PhD in Political Science from Ohio State University and loves working with data and performing analysis and research to gather meaningful information. This interest led her to publish data analysis research papers on Inferential Data Analysis on Tooth Growth and Predicting Activity for Samsung SensorData. She is also the author of the Apache Spark in 7-Days and Time Series Analysis with Python courses.

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Online

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About this course

Basic concepts in statistics and data visualization
Use Python data visualization tools to perform data visualization
Apply probability to statistics with the use of Bayesian Inference, a powerful alternative to classical statistics
Calculate and build confidence intervals in Python
Run basic regressions focused on linear and multilinear data
Run hypothesis tests and perform Bayesian inference for effective analysis and visualization
Apply probability to statistics by updating beliefs

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This centre's achievements

2021

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The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Installation
  • Data analysis
  • Statistics
  • Confidence Training
  • Programming
  • Install
  • Information Systems
  • IT
  • IT Management
  • Information Systems management

Course programme

Getting Started with Statistics and Visualization 4 lectures 31:24 The Course Overview This video will give you an overview about the course. Installing Anaconda for Python In this video, we will download and install Anaconda distribution, which will have the modules, libraries, and packages that we will use for the course.
  • Download and install Anaconda distribution
  • Check the installation
  • Review resources available to the course
Understanding the Key Aspects of Statistics and Visualization The goal of this video is to highlight the key aspects of statistics and visualization.
  • Explore the basics of descriptive statistics as a summary of data
  • Understand inferential statistics to make inferences or claims about data
  • Explore data visualization to represent data
Getting Data and Performing Operations In this video, we will learn how to get data in different ways.
  • Pull data using pandas datareader
  • Pull data using an API key
  • Pull data by downloading a CSV file
Getting Started with Statistics and Visualization - Quiz Getting Started with Statistics and Visualization 4 lectures 31:24 The Course Overview This video will give you an overview about the course. Installing Anaconda for Python In this video, we will download and install Anaconda distribution, which will have the modules, libraries, and packages that we will use for the course.
  • Download and install Anaconda distribution
  • Check the installation
  • Review resources available to the course
Understanding the Key Aspects of Statistics and Visualization The goal of this video is to highlight the key aspects of statistics and visualization.
  • Explore the basics of descriptive statistics as a summary of data
  • Understand inferential statistics to make inferences or claims about data
  • Explore data visualization to represent data
Getting Data and Performing Operations In this video, we will learn how to get data in different ways.
  • Pull data using pandas datareader
  • Pull data using an API key
  • Pull data by downloading a CSV file
Getting Started with Statistics and Visualization - Quiz The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. This video will give you an overview about the course. This video will give you an overview about the course. Installing Anaconda for Python In this video, we will download and install Anaconda distribution, which will have the modules, libraries, and packages that we will use for the course.
  • Download and install Anaconda distribution
  • Check the installation
  • Review resources available to the course
Installing Anaconda for Python In this video, we will download and install Anaconda distribution, which will have the modules, libraries, and packages that we will use for the course.
  • Download and install Anaconda distribution
  • Check the installation
  • Review resources available to the course
Installing Anaconda for Python In this video, we will download and install Anaconda distribution, which will have the modules, libraries, and packages that we will use for the course.
  • Download and install Anaconda distribution
  • Check the installation
  • Review resources available to the course
Installing Anaconda for Python In this video, we will download and install Anaconda distribution, which will have the modules, libraries, and packages that we will use for the course.
  • Download and install Anaconda distribution
  • Check the installation
  • Review resources available to the course
In this video, we will download and install Anaconda distribution, which will have the modules, libraries, and packages that we will use for the course.
  • Download and install Anaconda distribution
  • Check the installation
  • Review resources available to the course
In this video, we will download and install Anaconda distribution, which will have the modules, libraries, and packages that we will use for the course.
  • Download and install Anaconda distribution
  • Check the installation
  • Review resources available to the course
Understanding the Key Aspects of Statistics and Visualization The goal of this video is to highlight the key aspects of statistics and visualization.
  • Explore the basics of descriptive statistics as a summary of data
  • Understand inferential statistics to make inferences or claims about data
  • Explore data visualization to represent data
Understanding the Key Aspects of Statistics and Visualization The goal of this video is to highlight the key aspects of statistics and visualization.
  • Explore the basics of descriptive statistics as a summary of data
  • Understand inferential statistics to make inferences or claims about data
  • Explore data visualization to represent data
Understanding the Key Aspects of Statistics and Visualization The goal of this video is to highlight the key aspects of statistics and visualization.
  • Explore the basics of descriptive statistics as a summary of data
  • Understand inferential statistics to make inferences or claims about data
  • Explore data visualization to represent data
Understanding the Key Aspects of Statistics and Visualization The goal of this video is to highlight the key aspects of statistics and visualization.
  • Explore the basics of descriptive statistics as a summary of data
  • Understand inferential statistics to make inferences or claims about data
  • Explore data visualization to represent data
The goal of this video is to highlight the key aspects of statistics and visualization.
  • Explore the basics of descriptive statistics as a summary of data
  • Understand inferential statistics to make inferences or claims about data
  • Explore data visualization to represent data
The goal of this video is to highlight the key aspects of statistics and visualization.
  • Explore the basics of descriptive statistics as a summary of data
  • Understand inferential statistics to make inferences or claims about data
  • Explore data visualization to represent data
Getting Data and Performing Operations In this video, we will learn how to get data in different ways.
  • Pull data using pandas datareader
  • Pull data using an API key
  • Pull data by downloading a CSV file
Getting Data and Performing Operations In this video, we will learn how to get data in different ways.
  • Pull data using pandas datareader
  • Pull data using an API key
  • Pull data by downloading a CSV file
Getting Data and Performing Operations In this video, we will learn how to get data in different ways.
  • Pull data using pandas datareader
  • Pull data using an API key
  • Pull data by downloading a CSV file
Getting Data and Performing Operations In this video, we will learn how to get data in different ways.
  • Pull data using pandas datareader
  • Pull data using an API key
  • Pull data by downloading a CSV file
In this video, we will learn how to get data in different ways.
  • Pull data using pandas datareader
  • Pull data using an API key
  • Pull data by downloading a CSV file
In this video, we will learn how to get data in different ways.
  • Pull data using pandas datareader
  • Pull data using an API key
  • Pull data by downloading a CSV file
Getting Started with Statistics and Visualization - Quiz Getting Started with Statistics and Visualization - Quiz Getting Started with Statistics and Visualization - Quiz Getting Started with Statistics and Visualization - Quiz Getting Grips with Core Statistics Concepts 5 lectures 42:47 Working with Summary Statistics In this video, we will learn the numerical analysis of descriptive statistics to summarize your data.
  • Understand the measures of central tendency to identify the typical, middle, and most frequent values
  • Learn about ranges and percentiles to determine the spread of the data distribution
  • Understand measures of spread to see how far the average data point deviates from the center
Grouping Data This video focuses on grouping operations, using the split-apply-combine method.
  • Understand how to split your data into groups and examine how to use a multi-index object to subset further
  • Apply a function to each group
  • Combine the results into a data structure
Performing Normal Distribution In this video, we will discover the characteristics of a normal distribution.
  • Learn about a standard normal distribution, which is a special case of a normal distribution
  • Check normality with histograms
  • Check normality with Q-Q plots
Confidence Intervals In this video, we will go over how to calculate confidence intervals and interpret them.
  • Learn how a sample estimate can be used as a proxy for the true population estimate, given a normal distribution
  • Look at an example of how a confidence interval is calculated in terms of its lower and upper bounds
  • Learn how to make interpretations of confidence intervals
Correlational Relationship In this video, we will go over the relationship between two variables as measured by correlation.
  • Understand how correlation is calculated
  • Apply the correlation function
  • Look at a correlational matrix and rolling correlations
Getting Grips with Core Statistics Concepts - Quiz Getting Grips with Core Statistics Concepts. 5 lectures 42:47 Working with Summary Statistics In this video, we will learn the numerical analysis of descriptive statistics to summarize your data.
  • Understand the measures of central tendency to identify the typical, middle, and most frequent values
  • Learn about ranges and percentiles to determine the spread of the data distribution
  • Understand measures of spread to see how far the average data point deviates from the center
Grouping Data This video focuses on grouping operations, using the split-apply-combine method.
  • Understand how to split your data into groups and examine how to use a multi-index object to subset further
  • Apply a function to each group
  • Combine the results into a data structure
Performing Normal Distribution In this video, we will discover the characteristics of a normal distribution.
  • Learn about a standard normal distribution, which is a special case of a normal distribution
  • Check normality with histograms
  • Check normality with Q-Q plots
Confidence Intervals In this video, we will go over how to calculate confidence intervals and interpret them.
  • Learn how a sample estimate can be used as a proxy for the true population estimate, given a normal distribution
  • Look at an example of how a confidence interval is calculated in terms of its lower and upper bounds
  • Learn how to make interpretations of confidence intervals
Correlational Relationship In this video, we will go over the relationship between two variables as measured by correlation.
  • Understand how correlation is calculated
  • Apply the correlation function
  • Look at a correlational matrix and rolling correlations
Getting Grips with Core Statistics Concepts - Quiz Working with Summary Statistics In this video, we will learn the numerical analysis of descriptive statistics to summarize your data.
  • Understand the measures of central tendency to identify the typical, middle, and most frequent values
  • Learn about ranges and percentiles to determine the spread of the data distribution
  • Understand measures of spread to see how far the average data point deviates from the center
Working with Summary Statistics In this video, we will learn the numerical analysis of descriptive statistics to summarize your data.
  • Understand the measures of central tendency to identify the typical, middle, and most frequent values
  • Learn about ranges and percentiles to determine the spread of the data distribution
  • Understand measures of spread to see how far the average data point deviates from the center
Working with Summary Statistics In this video, we will learn the numerical analysis of descriptive statistics to summarize your data.
  • Understand the measures of central tendency to identify the typical, middle, and most frequent values
  • Learn about ranges and percentiles to determine the spread of the data distribution
  • Understand measures of spread to see how far the average data point deviates from the center
Working with Summary Statistics In this video, we will learn the numerical analysis of descriptive statistics to summarize your data.
  • Understand the measures of central tendency to identify the typical, middle, and most frequent values
  • Learn about ranges and percentiles to determine the spread of the data distribution
  • Understand measures of spread to see how far the average data point deviates from the center
In this video, we will learn the numerical analysis of descriptive statistics to summarize your data.
  • Understand the measures of central tendency to identify the typical, middle, and most frequent values
  • Learn about ranges and percentiles to determine the spread of the data distribution
  • Understand measures of spread to see how far the average data point deviates from the center
In this video, we will learn the numerical analysis of descriptive statistics to summarize your data sforms binary outcome data into log odds
  • Estimate a basic logistic...

Additional information

This course is for Python programmers who want to master essential statistics and visualization concepts using the Python programming language and are keen to learn to perform visualization effectively in conjunction with multiple visualization tools

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Fundamentals of Statistics and Visualization in Python

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