This course is designed for business professionals that want to learn how to gather results from previous stages of the data science project and present them to stakeholders. Learners will communicate the results of a model to stakeholders, be shown how to build a basic web app to demonstrate machine learning models and implement and test pipelines that automate the model training, tuning and deployment processes.
提供：
CertNexus認定データサイエンスの実践者 プロフェッショナル認定証CertNexusこのコースについて
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における5の5コース
中級レベル
Understand the data science workflow, experience with programming languages (Python), communication skills and 2 years business experience.
約12時間で修了
英語
字幕：英語
貴社では、従業員に需要のあるスキルを訓練させることによって利益を得ることができるでしょうか？
Coursera for Businessを試す学習内容
Communicate results of a model via web apps, and implement an d test pipelines that automate the model training, tuning and deployment process.
習得するスキル
- Data Science
- Communication
- Data Visualization (DataViz)
- production pipeline
- Data Model
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における5の5コース
中級レベル
Understand the data science workflow, experience with programming languages (Python), communication skills and 2 years business experience.
約12時間で修了
英語
字幕：英語
貴社では、従業員に需要のあるスキルを訓練させることによって利益を得ることができるでしょうか？
Coursera for Businessを試す
提供：
CertNexus
CertNexus is a vendor-neutral certification body, providing emerging technology certifications and micro-credentials for Business, Data, Development, IT, and Security professionals. CertNexus’ exams meet the most rigorous development standards possible which outlines a global framework for developing personnel certification programs to narrow the widening skills gap.
シラバス - 本コースの学習内容
3時間で修了
Communicate Results to Stakeholders
In the previous courses in this specialization, you put your data through the extract, transform, and load (ETL) process, conducted an analysis of the data, and developed statistical models from the data that cover the three major disciplines of machine learning: classification, regression, and clustering. But you're not done yet. Now it's time to gather your results and present them to stakeholders. After all, you undertook the data science project to achieve business goals, so you need to demonstrate that you were actually successful in doing so. In this first module, you'll report your findings to the project's stakeholders.
3時間で修了
6件のビデオ （合計45分）, 2 学習用教材, 2 個のテスト
2時間で修了
Demonstrate Models in a Web App
One way to create a robust and interesting presentation is to show off your results in a web app. In this module, you'll focus on some of the major technologies that go into creating a web app that you might want to use in a demonstration.
2時間で修了
7件のビデオ （合計62分）, 2 学習用教材, 1 個のテスト
3時間で修了
Implement and Test Production Pipelines
Much of what you've done throughout the data science project can be automated in some way. The goal is to spend less time performing some of the more repetitive tasks, and more time on tasks that require your own judgment. This is where pipeline automation comes into play.
3時間で修了
6件のビデオ （合計36分）, 2 学習用教材, 1 個のテスト
5時間で修了
Apply What You've Learned
You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios.
5時間で修了
CertNexus認定データサイエンスの実践者 プロフェッショナル認定証について
The field of Data Science has topped the Linked In Emerging Jobs list for the last 3 years with a projected growth of 28% annually and the World Economic Forum lists Data Analytics and Scientists as the top emerging job for 2022.
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