Data Science Methodology in Action using Dataiku

Gain hands-on experience in building a Data Driven AI engagement using Dataiku
4.03 (85 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Data Science Methodology in Action using Dataiku
410
students
4 hours
content
Nov 2022
last update
$13.99
regular price

Why take this course?

🌟 Transform Your Data into Actionable Insights with "Data Science in Action using Dataiku" 🌟

Embark on a Practical Adventure in Data Science!
🚀 Course Overview: Dive headfirst into the realm of Data Science and unlock the secrets of AI modeling with our comprehensive "Data Science Methodology in Action using Dataikucourse." This hands-on adventure is meticulously designed for those eager to gain practical, real-world experience. By leveraging the CRISP-DM framework and focusing on the 'clicker' approach using the powerful Dataiku platform, you'll learn how to effectively harness unstructured data and build engaging AI models.

What You'll Learn:

Categorization of Data Scientists: Discover the roles of 'clickers' and 'coders' in data science. This course emphasizes the 'clicker' approach, which is perfect for those who prefer working with user-friendly interfaces like Dataiku, without needing to delve deep into coding.

Capstone Project: Test your skills with a real-world capstone project, where you'll design and prototype a complete Data Science engagement, applying all the concepts learned throughout the course.

Seven-Step Data Science Methodology: We'll walk you through each critical step of our unique data science methodology within Dataiku:

  • Use Case Description: Clearly define your data science use case and its objectives.
  • Data Description: Explore various data sources and datasets to understand the kind of data you're working with.
  • Dataset Preparation: Get hands-on experience in preparing your datasets for analysis within Dataiku.
  • Model Development: Learn to apply AI modeling techniques like clustering, regression, and more, all within the Dataiku environment.
  • Model Evaluation: Understand how to measure the effectiveness of your AI model and evaluate its performance.
  • Model Deployment: Discover the process of deploying your AI models into a real-world setting.
  • Model Monitoring: Master the art of continuously monitoring and evaluating your models once they're in production, ensuring their ongoing accuracy and relevance.

Who Is This Course For? This course is an ideal starting point for:

  • Business Analysts looking to understand data science applications.
  • Project Managers aiming to oversee data science projects with confidence.
  • Aspiring Data Scientists interested in the 'clicker' approach of using tools like Dataiku without extensive coding knowledge.
  • Enthusiasts who are curious about advanced machine learning and its practical applications.

Your Learning Journey:

  • Interactive Lessons: Engage with step-by-step tutorials that guide you through the data science process.
  • Real-World Datasets: Download datasets to apply your knowledge in a tangible, practical manner.
  • Assignments and Project Work: Complete assignments and a final capstone project to solidify your learning and demonstrate your newfound skills.
  • Final Notebook Submission: Share your insights by submitting your final notebook for review and feedback.

Join us on this journey to transform your data science skills from theoretical to actionable. With "Data Science in Action using Dataiku," you'll not only understand the methodology but also see it in practice, making you a well-rounded professional ready to tackle data science challenges head-on! 📊🎉

Course Gallery

Data Science Methodology in Action using Dataiku – Screenshot 1
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Related Topics

4873466
udemy ID
09/09/2022
course created date
18/10/2022
course indexed date
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course submited by
Data Science Methodology in Action using Dataiku - | Comidoc