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Data Science Project Planning

Fundamental Concepts for Beginners

4.66 / 5.0
444 students4 hours 52 minutes

Created by Gopinath Ramakrishnan, offered on Udemy

bestcourses score™

Student feedback

4.7/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 444 students which left 79 reviews at an average rating of 4.66, which is average.

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 4 hours 52 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

5.3/10

This course currently has a bestcourses score of 5.3/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

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



What you will learn

  • Fundamental concepts underlying core planning activities that are critical for a data science project's success.
  • PLEASE NOTE: This course will not cover technical topics like programming , statistics and algorithms.

Requirements

  • Willingness to look beyond the technical aspects and learn about the crucial planning activities involved in a data science project.
  • Familiarity with high school level mathematics
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Frequently asked questions

  • Price: $19.99
  • Platform: Udemy
  • Language: English
  • 4 hours 52 minutes
Data Science Project Planning thumbnail

bestcourses score: 5.3/10

There might be better courses available for this topic.