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Exploratory Data Analysis with Python

Learn how to get the most out of your data using Exploratory Data Analysis. In this course you'll acquire the skills to get the insight you need from your data and take better decisions.

Exploratory Data Analysis (EDA) is a set of techniques that helps you to understand data, and every Data Analyst and Data Scientist should know it in depth. In this course, Exploratory Data Analysis with Python, you'll learn how to create and implement an EDA pipeline. You'll explore the available techniques, and learn why, when, and how to apply them. Finally, you'll discover how to communicate your findings to your audience. When you’re finished with this course, you will have the skills and knowledge to face any complex EDA problem.

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What's inside

Syllabus

Course Overview

Understanding the Goals and Benefits of Exploratory Data Analysis (EDA)

Determining When and Why to Use Univariate Analysis

Determining When and Why Multivariate Analysis

Feature Engineering and Feature Selection

Presenting Your EDA to Others

Practicing Data Analysis with Python

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores Exploratory Data Analysis (EDA), which is standard in Data Science

Focuses on Data Analysis with Python, a popular programming language for data

Covers a range of techniques from univariate to multivariate analysis

Taught by an instructor with expertise in EDA

Provides opportunities to practice data analysis skills with Python

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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 Exploratory Data Analysis with Python with these activities:

Review Univariate Analysis

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Reviewing univariate analysis will help you solidify your understanding of the fundamentals of EDA and prepare you for more advanced topics in the course.

Browse courses on Univariate Analysis

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Read the course materials on univariate analysis.
Complete the practice exercises on univariate analysis.
Review your notes and assignments on univariate analysis.

Review Python basics

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Reviewing the basics of Python will help you refresh your knowledge and make it easier to follow along with the course material.

Browse courses on Python Basics

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Go over your notes from a previous Python course or tutorial.
Complete a few practice problems or coding exercises to test your understanding.

Follow a tutorial on a specific EDA technique

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Following a tutorial on a specific EDA technique will help you learn how to apply the technique correctly and effectively.

Browse courses on Data Analysis

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Find a tutorial on a specific EDA technique that you want to learn more about.
Follow the steps in the tutorial carefully.
Complete any exercises or practice problems that are included in the tutorial.

Four other activities

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Solve EDA practice problems

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Solving practice problems will help you develop your skills in applying EDA techniques and improve your understanding of data analysis concepts.

Browse courses on Data Analysis

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Find a set of practice problems or exercises related to EDA.
Work through the problems step-by-step, following the instructions provided.
Check your answers against the provided solutions or discuss them with a peer or instructor.

Practice EDA with Real-World Datasets

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Practicing EDA with real-world datasets will help you develop your skills and gain experience in applying EDA techniques to practical scenarios.

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Find a real-world dataset that is relevant to your interests or field of study.
Import the dataset into a data analysis tool.
Perform EDA on the dataset, using the techniques you have learned in the course.
Write a report summarizing your findings.

Create a visual representation of your data

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Creating a visual representation of your data will help you identify patterns and trends more easily, and it will also help you communicate your findings to others more effectively.

Browse courses on Data Visualization

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Choose a dataset that you want to analyze.
Select a visualization technique that is appropriate for the data and the question you are trying to answer.
Create the visualization using a tool or software program.
Interpret the results of the visualization and draw conclusions.

Create a Tutorial on EDA

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Creating a tutorial on EDA will help you deepen your understanding of the topic and reinforce your learning.

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Choose a specific EDA topic that you want to cover.
Research the topic and gather information from reliable sources.
Write the tutorial, explaining the topic in a clear and concise manner.
Create examples and illustrations to support your explanations.
Proofread and edit your tutorial.

Career center

Learners who complete Exploratory Data Analysis with Python will develop knowledge and skills that may be useful to these careers:

Research Analyst

Research Analysts use their knowledge of data and statistics to help businesses make better decisions. They conduct research and analyze data to identify trends and patterns. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Research Analyst.

See salaries and explore the career path for Research Analyst

Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models. They use their knowledge of statistics, machine learning, and software engineering to develop models that can solve complex problems. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts use their knowledge of business and data to help businesses make better decisions. They use their skills to identify problems, analyze data, and develop solutions. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use their knowledge of data and statistics to help businesses improve their operations. They develop mathematical models to analyze data and identify opportunities for improvement. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians use their knowledge of statistics to collect, analyze, and interpret data. They use their findings to help businesses make better decisions. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Statistician.

See salaries and explore the career path for Statistician

Data Architect

Data Architects design and build the data systems that businesses use to store and process data. They work with data analysts and data scientists to ensure that data is available for analysis. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Data Architect.

See salaries and explore the career path for Data Architect

Data Scientist

Data Scientists use their knowledge of statistics and machine learning to build models that can predict future outcomes. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Data Scientist.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts gather, clean, and analyze data to find meaningful insights. They use their findings to help businesses make better decisions. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts use their knowledge of data and statistics to help businesses make better decisions. They analyze data to identify trends and patterns, and they develop financial models to forecast future performance. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use their knowledge of data and statistics to help businesses identify and manage risk. They analyze data to identify trends and patterns, and they develop models to predict future risk. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Data Engineer

Data Engineers build and maintain the infrastructure that is used to store and process data. They work with data analysts and data scientists to ensure that data is available for analysis. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Data Engineer.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use their knowledge of data and statistics to help businesses make better decisions. They develop mathematical models to analyze data and predict future performance. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use their knowledge of data and statistics to help businesses assess and manage risk. They develop mathematical models to predict future cash flows, and they use these models to calculate insurance premiums and benefits. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as an Actuary.

See salaries and explore the career path for Actuary

Market Researcher

Market Researchers use their knowledge of data and statistics to help businesses make better decisions. They conduct research and analyze data to identify trends and patterns. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Market Researcher.

See salaries and explore the career path for Market Researcher

Software Engineer

Software Engineers design, develop, and maintain software applications. In the course Exploratory Data Analysis with Python, you'll learn how to use Python to perform exploratory data analysis. This course will help you develop the skills you need to succeed as a Software Engineer. You'll learn how to use Python to clean and prepare data, and how to use statistical techniques to analyze data.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Exploratory Data Analysis with Python.

Python Data Science Handbook

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Comprehensive guide to EDA with Python and covers many of the same topics as this course in more depth.

Exploratory Data Analysis with Python

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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