Analyze Box Office Data with Plotly and Python

4.5
230件の評価
提供:
Coursera Project Network
8,423人がすでに登録済みです
この無料ガイド付きプロジェクトでは、次のことを行います。

Produce interactive data visualizations with Plotly Python

Use Plotly Python and Seaborn during EDA and feature engineering

この実践的な経験を面接でアピールする

Clock1.5 hours
Beginner初心者向け
Cloudダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

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.

必要事項

Some experience in programming in Python.

あなたが開発するスキル

Data SciencePython ProgrammingData AnalysisPlotlyData Visualization (DataViz)

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  1. Analyze Movie Release Dates

  2. Preprocess Features

  3. Create Features Based on Release Date

  4. Use Plotly to Visualize the Number of Films Per Year

  5. Number of Films and Revenue Per Year

  6. Do Release Days Impact Revenue?

  7. Relationship between Runtime and Revenue

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

レビュー

ANALYZE BOX OFFICE DATA WITH PLOTLY AND PYTHON からの人気レビュー

すべてのレビューを見る

よくある質問

よくある質問

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。