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Courses>Data Science>Data Science Project Planning
DevelopmentData Science Project Planning
Price:Paid
Length:5 hours
Content type:video
level:beginner
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Data Science Project Planning
Data Science Project Planning
4.2 (645.0)
5 hours
645 students
What you will learn
1Fundamental concepts underlying core planning activities that are critical for a data science project's success.
2PLEASE NOTE: This course will not cover technical topics like programming , statistics and algorithms.
Target audiences
1Managers or Leads who are going to plan their first data science project in a real life business environment
2Members of a data science team who want to build awareness about crucial planning activities required for making their project successful
3Senior Executives requiring a bird’s eye view of activities involved in planning a data science project
Requirements
1Willingness to look beyond the technical aspects and learn about the crucial planning activities involved in a data science project.
2Familiarity with high school level mathematics
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Success of any project depends highly on how well it has been planned. Data science projects are no exception.

Large number of data science projects in industrial settings fail to meet the expectations due to lack of proper planning at their inception stage.

This course will provide a overview of core planning activities that are critical to the success of any data science project.

We will discuss the concepts underlying  - Business Problem Definition; Data Science Problem Definition; Situation Assessment; Scheduling Tasks and Deliveries.

The concepts learned will help the students in:

A) Framing the business problem 

B) Getting buy-in from the stakeholders 

C) Identifying appropriate data science solution that can solve the business problem 

D) Defining success criteria and metrics to evaluate the key project deliverables  viz;  models, data flow pipeline and documentation.

E) Assessing the prevailing situation impacting the project. For e.g. availability of data and resources; risks; estimated costs and perceived benefits. 

F) Preparing delivery schedules that enable early and continuously incremental valuable actionable insights to the customers 

G) Understanding the desired team attributes and communication needs



Similar courses
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Make the most out of your online education
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Careertail
Courses>Data Science>Data Science Project Planning
DevelopmentData Science Project Planning
Price:Paid
Length:5 hours
Content type:video
level:beginner
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Data Science Project Planning
Data Science Project Planning
4.2 (645.0)
5 hours
645 students
What you will learn
1Fundamental concepts underlying core planning activities that are critical for a data science project's success.
2PLEASE NOTE: This course will not cover technical topics like programming , statistics and algorithms.
Target audiences
1Managers or Leads who are going to plan their first data science project in a real life business environment
2Members of a data science team who want to build awareness about crucial planning activities required for making their project successful
3Senior Executives requiring a bird’s eye view of activities involved in planning a data science project
Requirements
1Willingness to look beyond the technical aspects and learn about the crucial planning activities involved in a data science project.
2Familiarity with high school level mathematics
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Success of any project depends highly on how well it has been planned. Data science projects are no exception.

Large number of data science projects in industrial settings fail to meet the expectations due to lack of proper planning at their inception stage.

This course will provide a overview of core planning activities that are critical to the success of any data science project.

We will discuss the concepts underlying  - Business Problem Definition; Data Science Problem Definition; Situation Assessment; Scheduling Tasks and Deliveries.

The concepts learned will help the students in:

A) Framing the business problem 

B) Getting buy-in from the stakeholders 

C) Identifying appropriate data science solution that can solve the business problem 

D) Defining success criteria and metrics to evaluate the key project deliverables  viz;  models, data flow pipeline and documentation.

E) Assessing the prevailing situation impacting the project. For e.g. availability of data and resources; risks; estimated costs and perceived benefits. 

F) Preparing delivery schedules that enable early and continuously incremental valuable actionable insights to the customers 

G) Understanding the desired team attributes and communication needs



Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot