Data Cleaning and Processing for Data Scientists from Pluralsight

Data Scientists spend most of their time cleaning and processing their data before they can be leveraged for future predictions. This course will teach you the various data cleaning and processing techniques and how to leverage the cloud services and AI tools to accomplish them.

Properly cleaning and processing the data is crucial to ensure that the subsequent data modeling produces accurate, meaningful, and reliable data.

In this course, Data Cleaning and Processing for Data Scientists, you’ll gain the ability to learn the various techniques to pre-process the data that can be used to generate accurate analysis, which will lead to effective decision-making.

First, you’ll explore the various data-cleaning techniques and address data with missing values, duplicate data, and outliers.

Next, you’ll discover some of the transformation techniques like min-max scaler, standard scaler, one-hot encoding, and dimensionality reduction.

Finally, you’ll learn how to leverage the cloud services and AI tools and automate these tasks to achieve results quickly.

When you’re finished with this course, you’ll have the skills and knowledge of cleaning and processing the data needed to generate high-quality data for enhanced decision-making.

What's inside

Syllabus

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Read about what's good

what should give you pause

and possible dealbreakers

Develops data cleaning techniques used in industry, which are foundational for real-world application

Leverages cloud services and AI tools, which are in high demand for skilled data scientists

Teaches data transformation techniques used in the industry, which augments the cleaning techniques to make the data ready for analysis

Taught by instructors with a strong reputation, which adds credibility to the material

Focuses heavily on cleaning and processing tasks for data scientists, which aligns with the target audience

Reviews summary

Essential data cleaning with cloud & ai

According to students, this course offers a solid foundation in data cleaning and processing, crucial for any aspiring data scientist. Learners highlight the course's practical, hands-on approach, praising its real-world examples and coding exercises that make complex concepts digestible. The curriculum effectively covers essential data transformation techniques and distinguishes itself by demonstrating how to leverage cloud services and AI tools for automation. While largely seen as a positive learning experience, some suggest that a strong grasp of Python basics is beneficial for optimal comprehension, and more advanced learners might find certain sections lack sufficient depth for highly specialized needs.

Highlights modern approaches using cloud services and AI for automation.

"The section on leveraging cloud services for automation was particularly insightful and forward-thinking."

"I was impressed by how the course integrated AI tools to speed up routine data processing tasks."

"It really sets this course apart, showing how to scale cleaning efforts with cloud technologies."

Covers essential data cleaning and transformation methods thoroughly.

"The course covers all the fundamental data cleaning techniques thoroughly, from missing values to outliers."

"I found the explanations of one-hot encoding and min-max scaling very clear and well-illustrated."

"It builds a strong foundation in data preprocessing, which is essential for any data scientist."

Provides practical skills with real-world examples and coding.

"I appreciated the practical exercises; they truly helped me understand real-world data issues."

"The hands-on coding and projects are the strongest part of the course for me, very applicable."

"I gained practical tools and strategies that I could apply immediately to my work."

May not delve deeply enough into advanced topics for experienced practitioners.

"As an experienced data professional, I found some topics to be a bit superficial; I was hoping for more advanced techniques."

"Could use more in-depth coverage on complex topics or optimization techniques for large datasets."

"Good for beginners to intermediate, but not for those seeking cutting-edge research methods."

Some found the pace challenging without prior programming knowledge.

"While comprehensive, I felt some parts moved a bit quickly, especially if you're not already familiar with Python."

"I recommend having a solid understanding of basic data structures and Python before taking this course."

"Could benefit from a clearer definition of prerequisite skills for learners from diverse backgrounds."

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 Cleaning and Processing for Data Scientists with these activities:

Review Data Science For Dummies, 2nd Edition

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Review the fundamentals of data science from a beginner-friendly reference text.

View Artificial Intelligence For Dummies (For... on Amazon

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Obtain a copy of Data Science For Dummies, 2nd Edition.
Read chapters 1-4 to gain an overview of data science concepts.
Review highlighted sections on data cleaning techniques.
Take notes or summarize key concepts for better retention.

Organize Course Materials and Resources

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Create a structured system for storing and accessing course materials to enhance your learning experience.

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Create a dedicated folder or notebook for course materials.
Organize materials by topic or type (e.g., lecture notes, assignments, readings).
Establish a consistent naming convention for files.

Practice Data Cleaning Exercises from Kaggle

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Apply data cleaning techniques to real-world datasets, reinforcing your understanding.

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Visit the Kaggle website and select a beginner-friendly data cleaning dataset.
Load the dataset into your preferred data analysis tool.
Identify and address missing values, outliers, and duplicates.
Transform the data using techniques like normalization and one-hot encoding.

Three other activities

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Discussion Forum Participation

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Engage with your peers and instructors to clarify concepts and share insights.

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Actively participate in discussion forums.
Ask questions to seek clarification on course topics.
Share your understanding and insights to help others.

Follow a Tutorial on Advanced Data Transformation Techniques

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Deepen your understanding of complex data transformation techniques.

Browse courses on Data Transformation

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Identify a topic related to advanced data transformation, such as dimensionality reduction or feature scaling.
Search for tutorials or articles that cover the chosen topic.
Follow the tutorial step-by-step, applying the techniques to a sample dataset.
Experiment with different parameters and settings to observe the impact on data.

Participate in a Data Science Hackathon

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Test your skills and gain practical experience in a competitive environment.

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Identify a data science hackathon aligned with your interests.
Form a team or work independently.
Develop a solution to the hackathon challenge.
Present your findings and compete for recognition.

Career center

Learners who complete Data Cleaning and Processing for Data Scientists will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are in high demand as businesses increasingly rely on data to make decisions. This course will teach you the skills you need to clean and process data, which is a critical part of the data science process. By taking this course, you'll be well-positioned for a successful career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. This course will teach you the skills you need to clean and process data, which is a critical part of the data analysis process. By taking this course, you'll be well-positioned for a successful career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. This course will teach you the skills you need to clean and process data, which is a critical part of the machine learning process. By taking this course, you'll be well-positioned for a successful career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts use data to help businesses make better decisions. This course will teach you the skills you need to clean and process data, which is a critical part of the business analysis process. By taking this course, you'll be well-positioned for a successful career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers build and maintain data pipelines. This course will teach you the skills you need to clean and process data, which is a critical part of the data engineering process. By taking this course, you'll be well-positioned for a successful career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Statistician

Statisticians collect, analyze, and interpret data. This course will teach you the skills you need to clean and process data, which is a critical part of the statistical process. By taking this course, you'll be well-positioned for a successful career as a Statistician.

See salaries and explore the career path for Statistician

Data Architect

Data Architects design and build data systems. This course will teach you the skills you need to clean and process data, which is a critical part of the data architecture process. By taking this course, you'll be well-positioned for a successful career as a Data Architect.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators manage and maintain databases. This course will teach you the skills you need to clean and process data, which is a critical part of the database administration process. By taking this course, you'll be well-positioned for a successful career as a Database Administrator.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course will teach you the skills you need to clean and process data, which is a common task for Software Engineers. By taking this course, you'll be well-positioned for a successful career as a Software Engineer.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve business problems. This course will teach you the skills you need to clean and process data, which is a critical part of the operations research process. By taking this course, you'll be well-positioned for a successful career as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts use data to make investment decisions. This course will teach you the skills you need to clean and process data, which is a critical part of the financial analysis process. By taking this course, you'll be well-positioned for a successful career as a Financial Analyst.

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Market Researcher

Market Researchers collect and analyze data to understand consumer behavior. This course will teach you the skills you need to clean and process data, which is a critical part of the market research process. By taking this course, you'll be well-positioned for a successful career as a Market Researcher.

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Product Manager

Product Managers develop and manage products. This course will teach you the skills you need to clean and process data, which is a common task for Product Managers. By taking this course, you'll be well-positioned for a successful career as a Product Manager.

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Project Manager

Project Managers plan and execute projects. This course will teach you the skills you need to clean and process data, which is a common task for Project Managers. By taking this course, you'll be well-positioned for a successful career as a Project Manager.

See salaries and explore the career path for Project Manager

Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. This course will teach you the skills you need to clean and process data, which is a critical part of the business intelligence process. By taking this course, you'll be well-positioned for a successful career as a Business Intelligence Analyst.

See salaries and explore the career path for Business Intelligence Analyst