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Jupyter Notebook, Numpy, and Pandas

Mat Leonard, Parnian Barekatain, Eddy Shyu, Brok Bucholtz, Elizabeth Otto Hamel, Cindy Lin, Cezanne Camacho, Arpan Chakraborty, Luis Serrano, and Juan Delgado

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What's inside

Syllabus

Learn how to use Jupyter Notebooks to create documents combining code, text, images, and more.

Learn the basics of NumPy and how to use it to create and manipulate arrays.

Learn the basics of Pandas Series and DataFrames and how to use them to load and process data.

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This course introduces Jupyter Notebooks and the basics of NumPy and Pandas for data analysis

The instructors for this course are recognized for their work in data analysis

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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 Jupyter Notebook, Numpy, and Pandas with these activities:

Review Python Crash Course by Eric Matthes

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Review the fundamentals of Python to strengthen your understanding of the language and prepare for the course.

View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon

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Read each chapter thoroughly.
Complete the exercises at the end of each chapter.
Create a small Python project to practice what you've learned.

Seek guidance from an experienced mentor

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Connect with a mentor who can provide support and guidance throughout your learning journey.

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Identify potential mentors in your field or professional network.
Reach out to them and express your interest in mentorship.
Establish clear expectations and goals for the mentorship.

Join a study group

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Enhance your understanding by collaborating with peers in a study group.

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Find or create a study group with classmates.
Set regular meeting times and stick to them.
Review course materials together.
Work on practice problems and assignments jointly.

Four other activities

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Practice NumPy exercises

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Reinforce your understanding of NumPy by solving practice problems.

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Find practice exercises online or in textbooks.
Solve the exercises using NumPy functions.
Check your solutions against the provided answer key.

Follow Pandas tutorials

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Deepen your knowledge of Pandas by following guided tutorials.

Browse courses on Pandas

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Identify specific areas where you need additional support.
Search for tutorials that cover those topics.
Follow the tutorials step-by-step.
Apply what you've learned to practical examples.

Contribute to open-source projects

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Enhance your practical skills and contribute to the community by working on open-source projects.

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Identify open-source projects that align with your interests.
Start by contributing to small issues or tasks.
Gradually take on more complex responsibilities.

Build a data visualization dashboard

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Demonstrate your proficiency in data analysis and visualization by creating a dashboard.

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Choose a dataset and define the scope of your dashboard.
Design the layout and visualizations for your dashboard.
Implement the dashboard using a visualization tool.
Test and refine your dashboard.

Career center

Learners who complete Jupyter Notebook, Numpy, and Pandas will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their expertise in data analysis, machine learning, and artificial intelligence to solve complex business problems. They develop and implement data-driven solutions that can improve decision-making, predict outcomes, and optimize processes. Jupyter Notebook, Numpy, and Pandas are essential tools for Data Scientists as they allow them to efficiently work with large datasets, train machine learning models, and visualize insights. This course provides a strong foundation in these tools, enabling learners to build a successful career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use their knowledge of data, statistics, and programming to extract meaningful insights from data. These insights can be used to improve business decisions and optimize operations. Jupyter Notebook, Numpy, and Pandas are essential tools for Data Analysts as they allow them to efficiently handle, manipulate, and analyze large datasets. This course provides a solid foundation in these tools, equipping learners with the skills needed to succeed in this growing field.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They work closely with Data Scientists and other stakeholders to develop data-driven solutions that address business problems. Jupyter Notebook, Numpy, and Pandas are essential tools for Machine Learning Engineers as they allow them to efficiently work with large datasets, preprocess data, and evaluate model performance. This course provides a solid foundation in these tools, equipping learners with the skills needed to succeed in this rapidly growing field.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative Analysts use their knowledge of mathematics, statistics, and programming to analyze financial data and make investment decisions. They develop and implement trading strategies, risk management models, and other quantitative solutions. Jupyter Notebook, Numpy, and Pandas are essential tools for Quantitative Analysts as they allow them to efficiently handle, manipulate, and analyze large financial datasets. This course provides a solid foundation in these tools, giving learners a competitive advantage in this highly competitive field.

See salaries and explore the career path for Quantitative Analyst

Data Visualization Engineer

Data Visualization Engineers design and develop data visualizations that communicate insights effectively. They work closely with Data Analysts, Data Scientists, and other stakeholders to create visualizations that can inform decision-making, identify trends, and uncover hidden patterns. Jupyter Notebook, Numpy, and Pandas are essential tools for Data Visualization Engineers as they allow them to efficiently work with large datasets, preprocess data, and create interactive visualizations. This course provides a solid foundation in these tools, equipping learners with the skills needed to succeed in this emerging field.

See salaries and explore the career path for Data Visualization Engineer

Business Analyst

Business Analysts use their knowledge of business processes, data analysis, and technology to identify and solve business problems. They work closely with stakeholders to gather requirements, analyze data, and develop solutions that improve efficiency, productivity, and customer satisfaction. Jupyter Notebook, Numpy, and Pandas are essential tools for Business Analysts as they allow them to efficiently work with large datasets, identify trends, and make data-driven recommendations. This course provides a solid foundation in these tools, equipping learners with the skills needed to succeed in this in-demand field.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians use their knowledge of data analysis, probability, and statistics to solve problems in various fields. They design and conduct surveys, analyze data, and develop statistical models to draw meaningful conclusions. Jupyter Notebook, Numpy, and Pandas are essential tools for Statisticians as they allow them to efficiently work with large datasets, perform statistical analyses, and visualize results. This course provides a solid foundation in these tools, giving learners a competitive advantage in this growing field.

See salaries and explore the career path for Statistician

Actuary

Actuaries use their knowledge of mathematics, statistics, and finance to assess and manage risk. They develop and implement insurance policies, pension plans, and other financial products. Jupyter Notebook, Numpy, and Pandas are essential tools for Actuaries as they allow them to efficiently work with large datasets, model financial risk, and make informed decisions. This course provides a solid foundation in these tools, giving learners a competitive advantage in this specialized field.

See salaries and explore the career path for Actuary

Financial Analyst

Financial Analysts use their knowledge of finance, accounting, and economics to analyze financial data and make investment recommendations. They develop and implement financial models, conduct due diligence, and provide insights to clients. Jupyter Notebook, Numpy, and Pandas are essential tools for Financial Analysts as they allow them to efficiently work with large financial datasets, perform financial analysis, and visualize results. This course provides a solid foundation in these tools, giving learners a competitive advantage in this competitive field.

See salaries and explore the career path for Financial Analyst

Software Engineer

Software Engineers design, develop, and maintain software systems. They work closely with stakeholders to gather requirements, design solutions, and implement code. Jupyter Notebook, Numpy, and Pandas are essential tools for Software Engineers who work with data-intensive applications. This course provides a solid foundation in these tools, giving learners a competitive advantage in this rapidly growing field.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers design, build, and maintain data pipelines. They work closely with Data Scientists, Data Analysts, and other stakeholders to ensure that data is available, reliable, and accessible. Jupyter Notebook, Numpy, and Pandas are essential tools for Data Engineers as they allow them to efficiently work with large datasets, perform data transformations, and create data pipelines. This course provides a solid foundation in these tools, giving learners a competitive advantage in this emerging field.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators design, implement, and maintain databases. They work closely with other IT professionals to ensure that data is stored, managed, and accessed efficiently. Jupyter Notebook, Numpy, and Pandas are essential tools for Database Administrators who work with large datasets. This course provides a solid foundation in these tools, giving learners a competitive advantage in this in-demand field.

See salaries and explore the career path for Database Administrator

Market Researcher

Market Researchers conduct research to understand consumer behavior, market trends, and competitive landscapes. They collect and analyze data to provide insights that help businesses make informed decisions. Jupyter Notebook, Numpy, and Pandas are essential tools for Market Researchers as they allow them to efficiently work with large datasets, identify trends, and visualize results.

See salaries and explore the career path for Market Researcher

Operations Research Analyst

Operations Research Analysts use their knowledge of mathematics, statistics, and computer science to solve complex problems in business and industry. They develop and implement mathematical models to optimize operations, improve efficiency, and reduce costs. Jupyter Notebook, Numpy, and Pandas are essential tools for Operations Research Analysts as they allow them to efficiently work with large datasets, build models, and visualize results. This course provides a solid foundation in these tools, giving learners a competitive advantage in this specialized field.

See salaries and explore the career path for Operations Research Analyst

Risk Manager

Risk Managers identify, assess, and manage risks to an organization. They work closely with other stakeholders to develop and implement risk management strategies. Jupyter Notebook, Numpy, and Pandas are essential tools for Risk Managers as they allow them to efficiently work with large datasets, analyze risk factors, and visualize results. This course provides a solid foundation in these tools, giving learners a competitive advantage in this in-demand field.

See salaries and explore the career path for Risk Manager

Reading list

We've selected 13 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 Jupyter Notebook, Numpy, and Pandas.

Python Data Science Handbook

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Provides a comprehensive overview of data science using Python, covering topics such as data manipulation, visualization, machine learning, and deep learning. It valuable reference for anyone who wants to learn more about data science and how to use Python to solve real-world problems.

Jupyter Notebook, Numpy, and Pandas

Two deals to help you save

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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