Summarizing Data and Deducing Probabilities from Pluralsight

This course covers the most important aspects of exploratory data analysis using different univariate, bivariate, and multivariate statistics from Excel and Python, including the use of Naive Bayes' classifiers and Seaborn to visualize relationships.

Data science and data modeling are fast emerging as crucial capabilities that every enterprise and every technologist must possess these days. Increasingly, different organizations are using the same models and the same modeling tools, so what differs is how those models are applied to the data. So, it is really important that you know your data well.

In this course, Summarizing Data and Deducing Probabilities, you will gain the ability to summarize your data using univariate, bivariate, and multivariate statistics in a range of technologies.

First, you will learn how measures of mean and central tendency can be calculated in Microsoft Excel and Python. Next, you will discover how to use correlations and covariances to explore pairwise relationships. You will then see how those constructs can be generalized to multiple variables using covariance and correlation matrices.

You will understand and apply Bayes' Theorem, one of the most powerful and widely-used results in probability, to build a robust classifier.

Finally, you will use Seaborn, a visualization library, to represent statistics visually.

When you are finished with this course, you will have the skills and knowledge to use univariate, bivariate, and multivariate descriptive statistics from Excel and Python in order to find relationships and calculate probabilities.

What's inside

Syllabus

Course Overview

Understanding Descriptive Statistics for Data Analysis

Performing Exploratory Data Analysis in Spreadsheets

Summarizing Data and Deducing Probabilities Using Python

Understanding and Applying Bayes' Rule

Visualizing Probabilistic and Statistical Data Using Seaborn

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Good fit for learners interested in data science and data modeling

Teaches tools and skills core to those working in data analysis

Develops skills and knowledge core to those working in data analysis

Taught by Janani Ravi, who is recognized for their work in data analysis

Explores updated techniques and methodologies for exploratory data analysis (EDA)

Requires students to have some background knowledge in statistics

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Summarizing Data and Deducing Probabilities with these activities:

Review Statistics Basics

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Reinforce your statistics foundation by reviewing the basics of mean and central tendency, which are crucial for working with data in this course.

Browse courses on Statistics

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Revisit the concepts of mean, median, and mode.
Review measures of central tendency, including measures of dispersion and skewness.
Go through practice problems related to mean and central tendency.

Create a Course Summary Document

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Reinforce your learning by creating a comprehensive summary document that consolidates your notes, assignments, and key concepts covered in the course.

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Review your lecture notes and handouts.
Summarize important concepts and formulas.
Include examples and practice problems to illustrate your understanding.

Attend a Data Science Meetup

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Connect with other data science enthusiasts and practitioners by attending a local meetup or online event.

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Find a data science meetup in your area.
Attend the meetup and introduce yourself to attendees.
Participate in discussions and share your experiences.

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Read 'Statistical Rethinking' by Richard McElreath

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Expand your understanding of Bayesian statistics, a powerful approach used for modeling uncertainty, by reviewing this foundational text.

View Statistical Rethinking on Amazon

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Read chapters 1-3 to grasp the basics of Bayesian inference.
Work through examples and exercises to reinforce your understanding.
Consider applying Bayesian techniques to your own data analysis projects.

Practice Calculating Covariance and Correlation

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Solidify your understanding of covariance and correlation by engaging in repetitive exercises and solving practice problems.

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Work through examples of calculating covariance and correlation coefficients.
Solve practice problems involving the interpretation of covariance and correlation.
Apply these concepts to real-world datasets.

Participate in a Hands-on Data Visualization Workshop

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Enhance your data visualization skills through hands-on practice in a workshop setting.

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Attend a workshop that focuses on data visualization techniques.
Follow along with the instructor and create your own visualizations.
Ask questions and engage in discussions with other participants.

Develop Visualizations Using Seaborn

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Enhance your data visualization skills by creating interactive and informative visualizations using Seaborn, a popular Python library for visualizing statistical data.

Browse courses on Seaborn

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Explore the Seaborn library and its various visualization options.
Create scatterplots, histograms, and other visualizations to represent statistical data.
Customize and refine your visualizations to effectively communicate insights.
Present your visualizations and explain the statistical relationships they illustrate.

Build a Data Analysis Dashboard

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Apply your knowledge of data analysis techniques to create a comprehensive dashboard that summarizes and visualizes key insights from a real-world dataset.

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Gather and clean a dataset relevant to your interests.
Summarize the data using univariate, bivariate, and multivariate statistics.
Design and develop interactive visualizations to represent the data.
Integrate your visualizations into a user-friendly dashboard.
Present your dashboard and explain how it can be used for data-driven decision-making.

Career center

Learners who complete Summarizing Data and Deducing Probabilities will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist collects, analyzes, and interprets data to help organizations make better decisions. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis and probability theory, which are essential skills for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as a Data Scientist.

See salaries and explore the career path for Data Scientist

Statistician

A Statistician collects, analyzes, and interprets data to help organizations make better decisions. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in statistics, which is essential for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as a Statistician.

See salaries and explore the career path for Statistician

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models to solve business problems. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis and probability theory, which are essential skills for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment decisions. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis and probability theory, which are essential skills for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Data Analyst

A Data Analyst collects, analyzes, and interprets data to help organizations make better decisions. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis, which is essential for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. This course will give you the skills you need to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst uses data to identify and solve business problems. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis, which is essential for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. This course will give you the skills you need to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

An Operations Research Analyst uses mathematical and statistical models to improve the efficiency of organizations. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis and probability theory, which are essential skills for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Risk Analyst

A Risk Analyst assesses the risk of potential events and develops strategies to mitigate those risks. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis and probability theory, which are essential skills for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Financial Analyst

A Financial Analyst uses data to make investment decisions. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis and probability theory, which are essential skills for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Actuary

An Actuary uses mathematical and statistical models to assess and manage risk. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis and probability theory, which are essential skills for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as an Actuary.

See salaries and explore the career path for Actuary

Biostatistician

A Biostatistician uses statistical methods to analyze data in the field of biology. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in statistics, which is essential for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as a Biostatistician.

See salaries and explore the career path for Biostatistician

Epidemiologist

An Epidemiologist investigates the causes of disease and develops strategies to prevent and control it. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis and probability theory, which are essential skills for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as an Epidemiologist.

See salaries and explore the career path for Epidemiologist

Market Researcher

A Market Researcher conducts research to understand consumer behavior and preferences. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis, which is essential for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. This course will give you the skills you need to succeed as a Market Researcher.

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Social Scientist

A Social Scientist studies human behavior and society. The Summarizing Data and Deducing Probabilities course can help you build a strong foundation in data analysis and probability theory, which are essential skills for this role. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. You will also learn how to apply Bayes' Theorem to build robust classifiers. This course will give you the skills you need to succeed as a Social Scientist.

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Teacher

A Teacher educates students in a variety of subjects. The Summarizing Data and Deducing Probabilities course may be useful for a Teacher who wants to use data analysis to improve their teaching methods. You will learn how to use statistical techniques to summarize data, identify trends, and make predictions. This course will give you the skills you need to succeed as a Teacher.

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