Intermediate Pandas Python Library for Data Science from Coursera

Note : Pandas is not used for development. So you will not build anything during the course of this project. This guided project is for those who are familiar with pandas for data analysis, but want to really harness the power of pandas by learning more complex operations. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special Features: 1) Work with real-world data. 2) Detailed variable description booklet provided. 3) This project provides plenty of challenges with solutions to encourage you to practice using pandas. 4) Libraries are automatically imported and the dataset is automatically split into subsets, each time you begin a new session. Just open the project and start learning! 5) The real-world applications of each function are explained. 6) Best practices and tips are provided to ensure that you learn how to use pandas efficiently. 7) Animated gifs are used to aid in the learning process. 8) Important terminology and definitions are explained. Note: This course works best for learners who are based in the North America region. Weâ€™re currently working on providing the same experience in other regions.

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Provides opportunities to practice using pandas, which optimizes learning

Specifically designed for those familiar with pandas, encouraging focused learning

Leverages hands-on learning with cloud desktop and pre-installed software

Emphasizes best practices and tips for efficient pandas usage

Explores real-world applications of functions, enhancing practical knowledge

Animated gifs facilitate comprehension of concepts

Reviews summary

Informative pandas course for intermediate learners

This course titled "Intermediate Pandas Python Library for Data Science" seems to be generally well-received by its students. With an average rating of 4.2 out of 5 stars across 25 reviews, this course is appropriate for those intermediate learners who are already familiar with Pandas for data analysis but are looking to develop a deeper understanding of the library's more complex operations. According to the reviews, the course is well-paced, informative, and includes plenty of opportunities to practice using Pandas. The instructor is commended for providing clear explanations and examples, although her fast-paced teaching style may not be suitable for all learners. Overall, this course is a solid choice for intermediate Pandas users looking to expand their knowledge and skills.

Course provides ample opportunities to practice using Pandas.

"You can use what you learn in many other projects"

"The exercises were great"

Instructor provides clear explanations and examples.

"This instructor is great! Simplifies the concepts and provides useful challenges that are relevant to the topics covered."

"The course was very instructive, thanks a lot!"

Course assumes prior knowledge of Pandas for data analysis.

"This is a great project on intermediate use of Pandas."

"Good for beginners to Pandas which has enough foundation on basic syntax of Python."

Some inconsistencies and errors have been reported in the project.

"many inconsistencies in the project.Confusing in many places."

"Great course but it has one error in the final challenge where the instructions in the video do not match the instructions on the notebook."

Instructor's teaching style may be too fast-paced for some learners.

"The instructor was just reading the syntax and showed the output. It really lacked explanation on how the script actually worked."

"interesting use of virtual environment, the teachings were too brief in my opinion"

Career center

Learners who complete Intermediate Pandas Python Library for Data Science will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build machine learning models. These skills are essential for Data Analysts who want to be able to effectively communicate insights to stakeholders.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use data to solve complex problems and make predictions. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build machine learning models. These skills are essential for Data Scientists who want to be able to effectively analyze data and communicate insights to stakeholders.

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build machine learning models. These skills are essential for Machine Learning Engineers who want to be able to effectively analyze data and build robust machine learning models.

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Data Engineer

Data Engineers design and build data pipelines. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build data pipelines. These skills are essential for Data Engineers who want to be able to effectively design and build data pipelines.

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Business Analyst

Business Analysts use data to understand business needs and make recommendations for improvements. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and communicate insights to stakeholders. These skills are essential for Business Analysts who want to be able to effectively analyze data and make recommendations for improvements.

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Financial Analyst

Financial Analysts use data to make investment recommendations. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build financial models. These skills are essential for Financial Analysts who want to be able to effectively analyze data and make investment recommendations.

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Market Researcher

Market Researchers use data to understand consumer behavior and make recommendations for marketing campaigns. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and communicate insights to stakeholders. These skills are essential for Market Researchers who want to be able to effectively analyze data and make recommendations for marketing campaigns.

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Risk Analyst

Risk Analysts use data to identify and mitigate risks. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build risk models. These skills are essential for Risk Analysts who want to be able to effectively analyze data and identify and mitigate risks.

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Operations Research Analyst

Operations Research Analysts use data to improve business operations. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build optimization models. These skills are essential for Operations Research Analysts who want to be able to effectively analyze data and make recommendations for improvements in business operations.

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Statistician

Statisticians use data to analyze patterns and trends. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build statistical models. These skills are essential for Statisticians who want to be able to effectively analyze data and communicate insights to stakeholders.

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Quantitative Analyst

Quantitative Analysts use data to make investment decisions. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build financial models. These skills are essential for Quantitative Analysts who want to be able to effectively analyze data and make investment decisions.

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Actuary

Actuaries use data to assess risk and make financial decisions. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build financial models. These skills are essential for Actuaries who want to be able to effectively assess risk and make financial decisions.

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Data Visualization Specialist

Data Visualization Specialists use data to create visualizations that communicate insights to stakeholders. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and communicate insights to stakeholders. These skills are essential for Data Visualization Specialists who want to be able to effectively communicate insights to stakeholders.

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Insurance Analyst

Insurance Analysts use data to assess risk and make underwriting decisions. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build insurance models. These skills are essential for Insurance Analysts who want to be able to effectively assess risk and make underwriting decisions.

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Health Economist

Health Economists use data to analyze the cost and effectiveness of healthcare interventions. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in pandas, a powerful Python library for data analysis. You will learn how to use pandas to manipulate and explore data, create visualizations, and build economic models. These skills are essential for Health Economists who want to be able to effectively analyze the cost and effectiveness of healthcare interventions.

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Intermediate Pandas Python Library for Data Science

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Reviews summary

Informative pandas course for intermediate learners

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