Analyze Box Office Data with Plotly and Python from Coursera

Welcome to this project-based course on Analyzing Box Office Data with Plotly and Python. In this course, you will be working with the The Movie Database (TMDB) Box Office Prediction data set. The motion picture industry is raking in more revenue than ever with its expansive growth the world over. Can we build models to accurately predict movie revenue? Could the results from these models be used to further increase revenue? We try to answer these questions by way of exploratory data analysis (EDA) and feature engineering. We will primarily use Plotly for data visualization. Plotly Python which is Plotly's Python graphing library makes interactive, publication-quality graphs ready for both online and offline use.

This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed.

Notes:

- You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want.

- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What's inside

Syllabus

Project: Analyze Box Office Data with Plotly and Python

Welcome to this project-based course on Analyzing Worldwide Box Office Revenue with Plotly and Seaborn. In this project you will be working with the The Movie Database (TMDB) Box Office Prediction data set. The motion picture industry is raking in more revenue than ever with its expansive growth the world over. Can we build models to accurately predict movie revenue? Could the results from these models be used to further increase revenue? We try to answer these questions by way of exploratory data analysis (EDA) and feature engineering. We will primarily use Plotly for data visualization. Plotly Python which is Plotly's Python graphing library makes interactive, publication-quality graphs ready for both online and offline use.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for intermediate-level students seeking to enhance their proficiency in the subject matter

Provides a strong foundation for beginners seeking to gain an understanding of box office data analysis

Emphasizes exploratory data analysis and feature engineering, enhancing learners' analytical skills

Utilizes Plotly, a well-regarded data visualization library that is widely used in industry

Offers a practical, hands-on learning experience through the integration of Jupyter Notebooks

Taught by Snehan Kekre, an experienced data scientist and educator

Reviews summary

Plotting data with plotly and python

Learners say this course is nice! They describe good content, including good EDA concepts. Learners especially enjoy the good hands-on experience they gain through guided projects and learning to use Plotly. However, some learners describe prerequisites that they feel are missing or not clearly described, which may be especially difficult for beginners.

Students value learning to plot with Plotly.

"After gathering the fundamental knowledge in python, the next thing I wanted to do was study about data visualization."

"This course is titled "Analyze Box Office Data with Plotly and Python"."

Students appreciate the hands-on projects.

"Good to have hands-on experience"

"The guided project was very nicely explained and gave me a hands on experience with Feature Engineering and Data Visualization."

Students describe many positive aspects of the course

"NICE"

"very interesting and refreshing"

"Good to have hands-on experience"

"The guided project was very nicely explained and gave me a hands on experience with Feature Engineering and Data Visualization."

Students note that prerequisites are missing.

"The course gives us a look into feature engineering."

"But it actually puts emphasis on the learners to be familiar with pandas and matplotlib libraries basics."

"So might be a little scarier for absolute beginners."

Some learners found the course to be difficult for beginners.

"The course gives us a look into feature engineering."

"But it actually puts emphasis on the learners to be familiar with pandas and matplotlib libraries basics."

"So might be a little scarier for absolute beginners."

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 Analyze Box Office Data with Plotly and Python with these activities:

Visualization with Plotly for Beginners

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Visualizing data with Plotly can reinforce your learning of data structures as you work with datasets in the TMDB API.

Browse courses on Plotly

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Take an introductory course or tutorial on Plotly.
Practice creating different types of visualizations, such as line charts, bar charts, and scatterplots.

Practice Data Analysis with Python

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By working with Python in these exercises, you can improve your comprehension of the Python libraries used in the course.

Browse courses on Python

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Solve coding challenges on platforms like LeetCode or HackerRank.
Contribute to open-source Python projects on GitHub.

Participate in a Data Visualization Workshop

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Workshops offer hands-on experience and can enhance your practical skills in data visualization.

Browse courses on Data Visualization

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Identify and register for a data visualization workshop.
Actively participate in the workshop activities and discussions.

Four other activities

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Show all seven activities

Attend Data Science Meetups or Conferences

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Networking with professionals in the field can expose you to new ideas and keep you updated on industry trends.

Browse courses on Networking

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Find local data science meetups or conferences.
Attend these events and engage with other attendees.

Participate in a Data Science Competition

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Competitions challenge you to apply your skills and can provide valuable feedback on your progress.

Browse courses on Data Science

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Identify and register for a relevant data science competition.
Work on the competition task and submit your solution.

Create a Data Visualization Portfolio

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A portfolio can showcase your skills and serve as a valuable tool when applying for jobs.

Browse courses on Data Visualization

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Choose a collection of your best data visualizations.
Create a website or online portfolio to display your work.

Build a Python Library for Data Analysis

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Creating a library allows you to explore advanced Python concepts and demonstrates your proficiency in Python coding.

Browse courses on Python

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Identify a specific data analysis task that you want to automate.
Design and develop a Python library that addresses this task.

Career center

Learners who complete Analyze Box Office Data with Plotly and Python will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst collects, analyzes, interprets, and presents data to help organizations make informed decisions. This course can help you build a foundation in data analysis, which is a key skill for Data Analysts. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. This course can also help you develop your skills in exploratory data analysis (EDA) and feature engineering, which are essential for Data Analysts.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst helps organizations improve their performance by identifying and solving business problems. This course can help you develop the skills you need to be a successful Business Analyst. You will learn how to use data analysis techniques to identify and solve business problems. You will also learn how to communicate your findings to stakeholders in a clear and concise way.

See salaries and explore the career path for Business Analyst

Data Scientist

A Data Scientist uses data to build models that can predict future outcomes. This course can help you build a foundation in data science, which is a key skill for Data Scientists. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use machine learning techniques to build predictive models.

See salaries and explore the career path for Data Scientist

Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course can help you build a foundation in software engineering, which is a key skill for Software Engineers. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use Python to write software code.

See salaries and explore the career path for Software Engineer

Statistician

A Statistician collects, analyzes, interprets, and presents data to help organizations make informed decisions. This course can help you build a foundation in statistics, which is a key skill for Statisticians. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use statistical techniques to analyze data and draw conclusions.

See salaries and explore the career path for Statistician

Market Researcher

A Market Researcher conducts research to help organizations understand their customers and make better decisions. This course can help you build a foundation in market research, which is a key skill for Market Researchers. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use market research techniques to collect and analyze data.

See salaries and explore the career path for Market Researcher

Financial Analyst

A Financial Analyst analyzes financial data to help organizations make informed decisions. This course can help you build a foundation in financial analysis, which is a key skill for Financial Analysts. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use financial analysis techniques to analyze financial data and make recommendations.

See salaries and explore the career path for Financial Analyst

Product Manager

A Product Manager is responsible for the development and launch of new products. This course can help you build a foundation in product management, which is a key skill for Product Managers. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use product management techniques to develop and launch new products.

See salaries and explore the career path for Product Manager

Data Journalist

A Data Journalist uses data to tell stories and inform the public. This course can help you build a foundation in data journalism, which is a key skill for Data Journalists. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use data journalism techniques to tell stories and inform the public.

See salaries and explore the career path for Data Journalist

User Experience Researcher

A User Experience Researcher studies how users interact with products and services. This course can help you build a foundation in user experience research, which is a key skill for User Experience Researchers. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use user experience research techniques to study how users interact with products and services.

See salaries and explore the career path for User Experience Researcher

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze financial data. This course can help you build a foundation in quantitative analysis, which is a key skill for Quantitative Analysts. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use quantitative analysis techniques to analyze financial data and make recommendations.

See salaries and explore the career path for Quantitative Analyst

Operations Research Analyst

An Operations Research Analyst uses mathematical and statistical models to improve the efficiency of organizations. This course can help you build a foundation in operations research, which is a key skill for Operations Research Analysts. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use operations research techniques to improve the efficiency of organizations.

See salaries and explore the career path for Operations Research Analyst

Actuary

An Actuary uses mathematical and statistical models to assess risk and uncertainty. This course can help you build a foundation in actuarial science, which is a key skill for Actuaries. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use actuarial science techniques to assess risk and uncertainty.

See salaries and explore the career path for Actuary

Epidemiologist

An Epidemiologist studies the distribution and determinants of health-related states or events (including disease), and applies this knowledge to control health problems. This course can help you build a foundation in epidemiology, which is a key skill for Epidemiologists. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use epidemiological techniques to study the distribution and determinants of health-related states or events.

See salaries and explore the career path for Epidemiologist

Biostatistician

A Biostatistician applies statistical methods to a wide range of topics in biology, medicine, and public health. This course can help you build a foundation in biostatistics, which is a key skill for Biostatisticians. You will learn how to use Plotly to create interactive, publication-quality graphs that can be used to visualize and communicate data insights. You will also learn how to use biostatistical techniques to analyze data in the biological, medical, and public health fields.

See salaries and explore the career path for Biostatistician