Data Wrangling with Python Project from Coursera

The "Data Wrangling Project" course provides students with an opportunity to apply the knowledge gained throughout the specialization in a real-life data wrangling project of their interest. Participants will follow the data wrangling pipeline step by step, from identifying data sources to processing and integrating data, to achieve a fine dataset ready for analysis. This course enables students to gain hands-on experience in the data wrangling process and prepares them to handle complex data challenges in real-world scenarios.

Throughout the course, students will work on their data wrangling project, applying the knowledge and skills gained in each module to achieve a refined and well-prepared dataset. By the end of the course, participants will be proficient in the data wrangling process and ready to tackle real-world data challenges in diverse domains.

What's inside

Syllabus

Data Wrangling Pipeline

In this introductory week, you will gain an understanding of the data wrangling pipeline, which serves as a structured approach to transform raw data into a cleaned and organized dataset for analysis. You will learn the key stages involved in the pipeline, setting the foundation for the rest of the course.

Identify Your Data

In this week, you will learn how to identify and define the scope and objectives of your data wrangling project. You will explore various data sources, understand their structure, and assess the suitability of each source for the project.

Data Collection and Integration

This week covers the data collection and integration stage of the data wrangling process. You will learn techniques for data collection, validate the collected data, and integrate data from multiple sources.

Data Understanding and Visualization

This week focuses on gaining a comprehensive understanding of the dataset through statistical analysis and data visualization. You will learn how to perform descriptive statistics, create informative visualizations, and conduct exploratory data analysis (EDA).

Data Processing and Manipulation

In this week, you will delve into essential data processing and manipulation techniques. You will learn how to handle missing values, detect and handle outliers, perform data sampling and dimensionality reduction, apply data scaling and discretization, and explore data cubes and pivot tables.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops hands-on experience in data wrangling, a skill useful in diverse domains

Provides a comprehensive study of the data wrangling pipeline, a standard in the industry

Builds a strong foundation for beginners to master data wrangling

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 Data Wrangling with Python Project with these activities:

Review Linear Regression

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Review the basics of linear regression to strengthen your foundation for data wrangling.

Browse courses on Linear Regression

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Go over your notes on linear regression from previous courses.
Solve practice problems involving linear regression.
Watch online tutorials on linear regression.

Explore Data Visualization Techniques

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Follow tutorials on data visualization techniques to enhance your ability to present data effectively.

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Identify different types of data visualizations.
Learn how to choose the appropriate visualization for different types of data.
Practice creating visualizations using online tools.

Develop a Data Wrangling Pipeline

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Create a step-by-step guide on the data wrangling pipeline to solidify your understanding of the process.

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Identify the different stages of the data wrangling pipeline.
Describe the tools and techniques used in each stage.
Provide examples of real-world scenarios where the pipeline is applied.
Share your guide with classmates for feedback.

Three other activities

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Data Cleaning Exercises

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Practice data cleaning skills to improve your ability to handle messy datasets.

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Find datasets with common data quality issues.
Clean the datasets using appropriate techniques.
Validate the cleaned datasets for accuracy.

Attend Data Science Meetups

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Connect with industry professionals and learn about real-world data wrangling challenges.

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Find local data science meetups.
Attend meetups and participate in discussions.
Network with other data scientists.

Participate in Data Wrangling Workshops

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Gain hands-on experience in data wrangling techniques through workshops.

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Look for data wrangling workshops offered by universities or online platforms.
Register for a workshop that aligns with your interests.
Attend the workshop and actively participate in exercises.

Career center

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

Data Analyst

Data Analysts use their skills in data collection, processing, and visualization to help organizations make informed decisions. This course provides a strong foundation in these areas, making it an excellent choice for those looking to enter or advance in this field. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers design and build the systems that store and process data. This course provides a strong foundation in data wrangling, which is a critical skill for Data Engineers. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use their expertise in data wrangling, machine learning, and statistics to solve complex business problems. This course provides a solid foundation in data wrangling, which is a critical skill for Data Scientists. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts use their skills in data analysis and visualization to help businesses understand their data and make better decisions. This course provides a strong foundation in data wrangling, which is a critical skill for Business Analysts. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Project Manager

Project Managers plan and execute projects, ensuring that they are completed on time, within budget, and to the required quality. This course provides a strong foundation in data wrangling, which is a critical skill for Project Managers. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Data Visualization Specialist

Data Visualization Specialists create visual representations of data to help businesses understand their data and make better decisions. This course provides a strong foundation in data wrangling, which is a critical skill for Data Visualization Specialists. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Data Journalist

Data Journalists use their skills in data analysis and visualization to tell stories with data. This course provides a strong foundation in data wrangling, which is a critical skill for Data Journalists. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Operations Research Analyst

Operations Research Analysts use their skills in data analysis and optimization to improve the efficiency of organizations. This course provides a strong foundation in data wrangling, which is a critical skill for Operations Research Analysts. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Data Architect

Data Architects design and manage the architecture of data systems. This course provides a strong foundation in data wrangling, which is a critical skill for Data Architects. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course provides a strong foundation in data wrangling, which is a valuable skill for Software Engineers. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Database Administrator

Database Administrators manage and maintain databases. This course provides a strong foundation in data wrangling, which is a critical skill for Database Administrators. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Quantitative Researcher

Quantitative Researchers use their skills in data analysis and modeling to solve complex problems. This course provides a strong foundation in data wrangling, which is a critical skill for Quantitative Researchers. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Market Researcher

Market Researchers use their skills in data collection and analysis to understand consumer behavior. This course provides a strong foundation in data wrangling, which is a valuable skill for Market Researchers. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Financial Analyst

Financial Analysts use their skills in data analysis and modeling to make investment recommendations. This course provides a strong foundation in data wrangling, which is a valuable skill for Financial Analysts. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

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Actuary

Actuaries use their skills in mathematics and statistics to assess risk and uncertainty. This course provides a strong foundation in data wrangling, which is a valuable skill for Actuaries. The course's focus on real-world projects also gives you the practical experience you need to succeed in this role.

See salaries and explore the career path for Actuary