Guided Project: Secure Analysis of a Credit Card Dataset from edX

One of the most commonly used tools in data science, pandas is a Python library used to load, process, and analyze datasets using SQL-like queries. Pandas offers several advantages, such as data representation, simpler lines of code, and the ability to handle large sets of data. A number of academic and commercial domains, including finance, economics, statistics, web analytics, and other entities, use pandas as part of their data analytics toolkit.

In this hands-on guided project, you will learn to perform preliminary data analysis and credit risk analysis on a credit card client dataset using the Python library pandas. You will learn how to import required libraries, explore datasets, analyze data, and visualize the dataset. By the end of this project, you will have learned the fundamentals of data analysis using pandas and developed job-ready skills.

You will be provided with access to a Cloud based-IDE which has all of the required software, including Python pandas, pre-installed. All you need is a recent version of a modern web browser to complete this project.

What's inside

Learning objectives

After completing this hands-on guided project, you’ll be able to:
Explore a dataset and perform calculations using its data

Build dependencies among existing attributes of a dataset
Visualize the results of data analysis with various plot types

After completing this hands-on guided project, you’ll be able to:
Explore a dataset and perform calculations using its data
Build dependencies among existing attributes of a dataset
Visualize the results of data analysis with various plot types

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches hands-on data analysis using Python's pandas library, which is a valuable skill for data scientists

Covers fundamental concepts of data analysis, making it accessible to beginners

Provides practical experience with a real-world dataset, preparing learners for job-related tasks

Utilized by academic and commercial domains, including finance and statistics, indicating its relevance in various fields

May require learners to have some prior knowledge of Python or data analysis

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 Guided Project: Secure Analysis of a Credit Card Dataset with these activities:

Organize Class Notes and Materials

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Improves retention and understanding by organizing lecture notes, assignments, and quizzes for easy review.

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Create a dedicated folder or notebook for the course materials.
Organize lecture notes, assignments, and quizzes by topic.
Review the materials regularly to reinforce learning.

Review Basic Python Concepts

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Strengthens the foundation for Pandas by refreshing essential Python concepts, ensuring a seamless learning experience.

Browse courses on Python

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Review the basics of Python syntax and data types.
Practice writing simple Python scripts.

Review 'Python Data Analysis Library'

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Deepens your understanding of the Python pandas library as it will provide a deeper dive into its functionalities and capabilities.

View Football Analytics with Python & R: Learning... on Amazon

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Read the first three chapters of 'Python Data Analysis Library'.
Install the Python Pandas library on your local machine.
Create a sample dataset and explore it using basic Pandas commands.

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Complete the Pandas Tutorial on Kaggle

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Provides hands-on experience with Pandas, reinforcing the concepts learned from the book and the lectures.

Browse courses on Pandas Library

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Go to the Kaggle website and search for the 'Pandas Tutorial'.
Follow the tutorial step-by-step, completing the exercises and quizzes.

Solve Pandas Coding Challenges

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Reinforces Pandas concepts through practical coding exercises, improving problem-solving and coding proficiency.

Browse courses on Pandas Library

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Find a website or platform that offers Pandas coding challenges.
Solve a series of challenges of varying difficulty levels.

Create a Pandas cheat sheet

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Helps solidify your understanding of Pandas syntax and functionality by creating a personalized reference guide.

Browse courses on Pandas Library

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Review the Pandas documentation and lecture notes.
Identify the most commonly used Pandas functions and methods.
Create a cheat sheet that summarizes the syntax and usage of these functions.

Analyze a real-world dataset using Pandas

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Applies Pandas skills to a practical scenario, enhancing problem-solving abilities and data analysis proficiency.

Browse courses on Pandas Library

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Download a real-world dataset related to your interests or industry.
Use Pandas to clean, explore, and analyze the dataset.
Visualize the results of your analysis using plots and charts.
Write a report summarizing your findings.

Develop a Data Analysis Application

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Enhances practical skills by applying Pandas to a real-world project, fostering independence and creativity.

Browse courses on Pandas Library

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Identify a problem or opportunity that can be addressed using data analysis.
Design and implement a data analysis solution using Pandas.
Deploy the application and evaluate its performance.

Career center

Learners who complete Guided Project: Secure Analysis of a Credit Card Dataset will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts examine data to extract meaningful insights and present their findings to various stakeholders. With the help of their data-driven analysis, they play a key role in helping their employers understand their customers, improve their operations, and mitigate risks. By enabling their employers to make data-informed decisions, Data Analysts can have a significant impact on the success of their organizations. This course is an excellent starting point for anyone who aspires to be a Data Analyst. It provides a solid foundation in data analysis using Python and pandas, which are essential tools in this field.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts specialize in the analysis of financial data. They use their skills in data analysis to assess the financial performance of companies, make investment recommendations, and develop financial models. The skills you learn in this course, such as data exploration, data analysis, and data visualization, will be highly valuable to you as a Financial Analyst. More specifically, financial analysts must often work with large datasets, and must be able to extract meaningful insights from data. This course can help you develop the skills necessary to do so.

See salaries and explore the career path for Financial Analyst

Market Researcher

Market Researchers are responsible for gathering and interpreting data about markets, customers, and competitors. They use this information to help their clients make informed decisions about product development, marketing campaigns, and other business strategies. The skills you learn in this course, such as data analysis and data visualization, will be essential to your success as a Market Researcher. Specifically, the ability to analyze data and extract meaningful insights will be highly valuable in this role.

See salaries and explore the career path for Market Researcher

Operations Research Analyst

Operations Research Analysts help organizations improve their efficiency and effectiveness. They use data analysis and modeling to identify and solve problems in areas such as supply chain management, logistics, and scheduling. The skills you learn in this course, such as data analysis and data visualization, will be useful to you as an Operations Research Analyst. Specifically, this course will help you develop the skills necessary to analyze data and identify trends.

See salaries and explore the career path for Operations Research Analyst

Quantitative Trader

Quantitative Traders use mathematical and statistical models to make trading decisions. They use data analysis to identify and exploit opportunities in the financial markets. The skills you learn in this course, such as data analysis and data visualization, may be useful to you as a Quantitative Trader. Specifically, this course will help you develop the skills necessary to analyze data and identify trends.

See salaries and explore the career path for Quantitative Trader

Business Analyst

Business Analysts identify and solve problems in business processes. They use data analysis to understand the current state of a business and to develop recommendations for improvement. The skills you learn in this course, such as data analysis and data visualization, will be valuable to you as a Business Analyst. Specifically, this course will help you develop the skills necessary to analyze data and identify opportunities for improvement.

See salaries and explore the career path for Business Analyst

Data Scientist

Data Scientists use data analysis to extract meaningful insights from data. They use this information to help their employers make informed decisions about product development, marketing campaigns, and other business strategies. The skills you learn in this course, such as data exploration, data analysis, and data visualization, will be essential to your success as a Data Scientist. Specifically, the ability to analyze data and extract meaningful insights will be highly valuable in this role.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians collect, analyze, and interpret data. They use this information to draw conclusions about the world around us. The skills you learn in this course, such as data analysis and data visualization, will be essential to your success as a Statistician. Specifically, the ability to analyze data and extract meaningful insights will be highly valuable in this role.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They use data analysis to identify and solve problems in software systems. The skills you learn in this course, such as data analysis and data visualization, may be useful to you as a Software Engineer. Specifically, this course will help you develop the skills necessary to analyze data and identify trends.

See salaries and explore the career path for Software Engineer

Actuary

Actuaries use data analysis to assess risk and uncertainty. They use this information to help their clients make informed decisions about insurance, pensions, and other financial products. The skills you learn in this course, such as data analysis and data visualization, may be useful to you as an Actuary. Specifically, this course will help you develop the skills necessary to analyze data and identify trends.

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Data Architect

Data Architects design and manage data systems. They use data analysis to understand the data needs of their organizations and to develop data systems that meet those needs. The skills you learn in this course, such as data analysis and data visualization, may be useful to you as a Data Architect. Specifically, this course will help you develop the skills necessary to analyze data and identify trends.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators manage and maintain databases. They use data analysis to identify and solve problems in database systems. The skills you learn in this course, such as data analysis and data visualization, may be useful to you as a Database Administrator. Specifically, this course will help you develop the skills necessary to analyze data and identify trends.

See salaries and explore the career path for Database Administrator

Information Security Analyst

Information Security Analysts protect their organizations from cyberattacks. They use data analysis to identify and mitigate vulnerabilities in their organizations' IT systems. The skills you learn in this course, such as data analysis and data visualization, may be useful to you as an Information Security Analyst. Specifically, this course will help you develop the skills necessary to analyze data and identify trends.

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Financial Risk Manager

Financial Risk Managers identify and mitigate financial risks. They use data analysis to assess the financial health of their organizations and to develop strategies to reduce risk. The skills you learn in this course, such as data analysis and data visualization, may be useful to you as a Financial Risk Manager. Specifically, this course will help you develop the skills necessary to analyze data and identify trends.

See salaries and explore the career path for Financial Risk Manager

Business Intelligence Analyst

Business Intelligence Analysts use data analysis to improve the decision-making process within their organizations. They use data to identify trends, patterns, and opportunities. The skills you learn in this course, such as data analysis and data visualization, will be essential to your success as a Business Intelligence Analyst. Specifically, the ability to analyze data and extract meaningful insights will be highly valuable in this role.

See salaries and explore the career path for Business Intelligence Analyst

Guided Project

Secure Analysis of a Credit Card Dataset

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