Data Science Methodology

BY
IBM via Coursera

Explore all about data science methodology and why data scientists need it with the Data Science Methodology certification by Coursera

Lavel

Beginner

Mode

Online

Duration

6 Hours

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The duration of the Data Science Methodology certification course is 6 hours (approximately). The certification programme supports the students to gain a comprehensive knowledge of data science methodology and all other aspects related to it. This course is designed for beginners, allowing students to progress at their own speed and with ease.

The students will gain in-depth knowledge of applying the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyse a case study. The Data Science Methodology certification by Coursera provides Data Science, Data Analysis, CRISP-DM, Methodology, Data Mining skills to the students. They will be able to apply the learned fundamentals in real-world scenarios.

The highlights

  • Beginner Level
  • 6 Hours Online Course
  • Flexible Schedule
  • Taught in English/Available in 22 Languages

Program offerings

  • Gudiane from data science professionals
  • Advice from data scientists
  • Shareable certificate
  • 23 assessments
  • Videos
  • Readings
  • Plugins

Course and certificate fees

The fees for course Data Science Methodology is -
 

Certification 

Fee Amount in INR

Data Science Methodology (Audit)

Free

Data Science Methodology - 1 month

Rs.4,105 /- per month

Data Science Methodology - 3 months

Rs.2,737 /- per month

Data Science Methodology- 6 months

Rs.2,053 /- per month
certificate availability

Yes

certificate providing authority

Coursera

Who it is for

The certification course is designed for aspiring students and working professionals to develop the required knowledge and skills. This course is also useful for:

What you will learn

After completing the Data Science Methodology training, the students will learn evaluating the right analytic model and determing the appropriate data sources for the data science analysis methodology. They will learn about business understanding and analytic approach and understand, prepare, and clean the data.

The participants also learn about the understanding to preparation and from modeling to evaluation and from deployment to feedback and final evaluation stages of the data science methodology. After completion of the Data Science Methodology Certification syllabus, the students will gain the required skills such as Data Science Data Analysis, CRISP-DM, Methodology and Data Mining.

The syllabus

Module 1: From Problem to Approach and From Requirements to Collection

Videos
  • Course Introduction
  • Data Science Methodology Overview
  • Business Understanding
  • Analytic Approach
  • Data Requirements
  • Data Collection
Readings
  • Helpful Tips for Course Completion
  • Analytic Approach Based on the Question Type
Assignments
  • Graded Quiz:  From Problem to Approach
  • Graded quiz:  From Requirements to Collection  
  • Practice Quiz: From Problem to Approach
  • Practice Quiz: From Requirements to Collection
App item
  • From Requirements to Collection
Plugins
  • Course Syllabus
  • Activity - Business Understanding: Asking Questions
  • Activity - Analytical Approach: Identifying the Pattern to Address the Question
  • Lesson Summary: From Problem to Approach
  • Glossary: From Problem to Approach
  • Lesson Summary: From Requirements to Collection
  • Glossary: From Requirements to Collection

Module 2: From Understanding to Preparation and From Modeling to Evaluation

Videos
  • Data Understanding
  • Data Preparation - Concepts
  • Data Preparation - Case Study
  • Modeling - Concepts
  • Modeling - Case Study
  • Evaluation
A ssignments
  • Graded Quiz Lesson 1: From Understanding to Preparation
  • Graded Quiz Lesson 2:  From Modeling to Evaluation
  • Practice Quiz: Lesson 1 From Understanding to Preparation
  • Practice Quiz Lesson 2: From Modeling to Evaluation
App items
  • Hands-on Lab: From Understanding to Preparation
  • Hands-on Lab: From Modeling to Evaluation
Plugins
  • Lesson Summary: From Understanding to Preparation
  • Module 2 Lesson 1 Glossary: From Understanding to Preparation 
  • Lesson Summary: From Modeling to Evaluation
  • Glossary: From Modeling to Evaluation

Module 3: From Deployment to Feedback

Videos
  • Deployment
  • Feedback 
  • Storytelling
  • Course Summary
Assignments
  • Module 3 Graded Quiz: From Deployment to Feedback
  • Practice Quiz: From Deployment to Feedback 
Plugins
  • Module 3 Summary : From Deployment to Feedback
  • Module 3 Glossary: From Deployment to Feedback

Module 4: Final Project and Assessment

Video
  • Introduction to CRISP-DM
Readings
  • Review what you learned
  • Congratulations and Next Steps
  • Thanks from the Course Team
  • IBM Digital Badge
Assignment
  • Final Quiz
Peer review
  • Final Assignment
Plugin
  • Final Assignment Overview

Instructors

Mr Alex Aklson

Mr Alex Aklson
Data Scientist
IBM

Ph.D

Mr Polong Lin
Data Scientist
IBM

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