Monthly Subscription Starting at AED 99 + VAT

Data Science Methodology
  • Level Foundation
  • المدة 15 ساعات hours
  • الطبع بواسطة IBM
  • Offered by

عن

If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or similar methodologies for solving data science problems. Begin by learning about forming the business/research problem Learn how data scientists obtain, prepare, and analyze data. Discover how applying data science methodology practices helps ensure that the data used for problem-solving is relevant and properly manipulated to address the question. Next, learn about building the data model, deploying that model, data storytelling, and obtaining feedback You’ll think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through progressive labs hosted within Jupyter Notebooks and using Python.

الوحدات

Welcome to the Course

    • 1 Videos
    • 1 Readings
    • 1 Plugin
Show info about module content

1 Videos

  • Course Introduction

1 Readings

  • Helpful Tips for Course Completion

Problem to Approach

    • 3 Videos
    • 1 Readings
    • 4 Plugin
    • 2 Assignment
Show info about module content

2 Assignment

  • Practice Quiz: From Problem to Approach
  • Graded Quiz:  From Problem to Approach

3 Videos

  • Data Science Methodology Overview
  • Business Understanding
  • Analytic Approach

1 Readings

  • Analytic Approach Based on the Question Type

From Requirements to Collection

    • 2 Videos
    • 1 ExternalTool
    • 2 Plugin
    • 2 Assignment
Show info about module content

2 Assignment

  • Practice Quiz: From Requirements to Collection 
  • Graded quiz:  From Requirements to Collection  

1 External Tool

  • From Requirements to Collection

2 Videos

  • Data Requirements
  • Data Collection

From Understanding to Preparation

    • 3 Videos
    • 1 ExternalTool
    • 2 Plugin
    • 2 Assignment
Show info about module content

2 Assignment

  • Practice Quiz: Lesson 1 From Understanding to Preparation
  • Graded Quiz Lesson 1: From Understanding to Preparation

1 External Tool

  • Hands-on Lab: From Understanding to Preparation

3 Videos

  • Data Understanding
  • Data Preparation - Concepts
  • Data Preparation - Case Study

From Modeling to Evaluation

    • 3 Videos
    • 1 ExternalTool
    • 2 Plugin
    • 2 Assignment
Show info about module content

2 Assignment

  • Practice Quiz Lesson 2: From Modeling to Evaluation
  • Graded Quiz Lesson 2:  From Modeling to Evaluation

1 External Tool

  • Hands-on Lab: From Modeling to Evaluation

3 Videos

  • Modeling - Concepts
  • Modeling - Case Study
  • Evaluation

From Deployment to Feedback

    • 4 Videos
    • 2 Plugin
    • 2 Assignment
Show info about module content

2 Assignment

  • Practice Quiz: From Deployment to Feedback
  • Module 3 Graded Quiz: From Deployment to Feedback

4 Videos

  • Deployment
  • Feedback
  • Storytelling
  • Course Summary

Final Project

    • 1 Videos
    • 1 PeerReview
    • 1 Plugin
Show info about module content

1 Peer Review

  • Final Assignment

1 Videos

  • Introduction to CRISP-DM

Course Summary and Final Quiz

    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Final Quiz

1 Readings

  • Review what you learned

Course Wrap Up

    • 3 Readings
Show info about module content

3 Readings

  • Congratulations and Next Steps
  • Thanks from the Course Team
  • IBM Digital Badge

Auto Summary

Master the art of thinking and working like a Data Scientist with this foundational course on Data Science Methodology. Dive into the CRISP-DM and Foundational Data Science methodologies, learning to tackle real-world scenarios using Jupyter Notebooks and Python. Taught by Coursera, this 900-minute course is ideal for beginners and offers both Starter and Professional subscription options. Perfect for aspiring data scientists aiming to apply structured problem-solving techniques.

Alex Aklson
Instructors

Alex Aklson

Polong Lin
Instructors

Polong Lin