Essential Non Technical Skills of Effective Data Scientists

Boost your Data Science Career by developing these crucial Non Technical Skills & become a Successful Data Scientist

3.99 (1133 reviews)
Udemy
platform
English
language
Other
category
instructor
Essential Non Technical Skills of Effective Data Scientists
66,876
students
33 mins
content
Feb 2021
last update
$44.99
regular price

What you will learn

Non Technical Skills required for Data Scientist Role

Ways to Improve your productivity as a Data Scientist

Focus Areas to work upon when applying for a Data Scientist role

Soft Skills that are a Must for any Job Role

Why take this course?

Most data science training focuses only on key technologies like Python, R, ML etc. But real-world data science jobs require more than just technical acumen. As IT professionals rush to upgrade their current skill-set and become career ready in the field of data science, most of them forget the other part of skill development — Non-technical skills.

These skills won’t require as much technical training or formal certification, but they’re foundational to the rigorous application of data science to business problems. Even the most technically skilled data scientist needs to have these soft skills to thrive today.

This easy to follow course is created for recent Data Science graduates, beginners, new hires, Working Data Professionals, or any employee looking to boost their skills at the office and in the global workplace. I am sure these will help you to develop effective work habits that will help you succeed at your job, create a healthy work/life balance, and have a better understanding of your own personal strengths and how you work best. These nontechnical skills can help you convert your first data science job into a successful, lifelong career.

By the end of this course you will be able to:

  • Develop some crucial Non Technical skills, professional presence, and confidence in the workplace.

  • Become a more effective communicator in the work environment.

  • Ask better questions and increase your ability to come up with more and better ideas around how to effectively use data in any project.

  • Evaluate your personal strengths (and weakness), and understand how those are best used at the individual and team levels when working in any Data Science Project.

  • Create clear, specific, and actionable goals to improve your confidence at workplace.


These Non Technical skills are those skills that get you hired, keep you focused, and help you survive and integrate into your global workplace community. Practicing and developing these skills will help separate you from the crowd of job applicants and scientists as the field grows.


A Verifiable Certificate of Completion is presented to all students who undertake this course.

Screenshots

Essential Non Technical Skills of Effective Data Scientists - Screenshot_01Essential Non Technical Skills of Effective Data Scientists - Screenshot_02Essential Non Technical Skills of Effective Data Scientists - Screenshot_03Essential Non Technical Skills of Effective Data Scientists - Screenshot_04

Reviews

OYTUN
September 27, 2023
It is hard to follow up. There were no visuals. At least a brief overview could have been shown during the presentation.
Okeoma
September 21, 2023
This is a very amazing course that shows the important soft skills that are needed to excel in the Data Science space.
Gerard
August 9, 2023
The sound drops in and out. The delivery is monotone and for the most part seems to be aimed at someone who has just graduated and is looking to say the right things at an interview
Johan
August 4, 2023
You always hear people talking about how soft skills are just as important as technical skills. Having a list of these skills and why they are useful gives a good starting point for improving them.
Mitesh
July 5, 2023
The course was good enough but was not immersive as there are mostly slides and no amimations or practical examples related to it. It just gives info about what are necessary skills but how to improve those skills would have been a great addition to this course
Ajay
May 7, 2023
It is very useful course where I got many unknown skills of Data Science. Thank you so much for this wonderful course and I wish you all to create course related to data science
Fernando
April 19, 2023
It's a good course for someone like me who knows nothing about the industry, but it could be better recorded and edited
Alessio
February 18, 2023
It is a precise and comprehensive description of what kind of person a data scientist should be. How many good qualities I will have when I become a Data scientist!
Rashmi
February 8, 2023
The course gives you the clear perspective of the soft skills that the data scientist requires during course of their work.
Joshua
January 27, 2023
Good principals and values are universal. Applying them toward being an effective data scientist is worthwhile. Happy to take the course!
Mark
January 20, 2023
Slides are not very beneficial to the learning. the Spoken content is good but so far 1st 5 topics could have been covered with 1 slide...where are the examples?
SHASHIKANT
January 13, 2023
i was wondering through the net to know which hard skills are required to become data scientist. thank you for guidance and your efforts
Abigail
January 4, 2023
Honestly, this could have just been a bulleted list instead of a 30 min video and been just as effective.
Siddharath
September 22, 2022
first of all i want to thank prince patni for creating very good course on non technical skills that you required not only in data science industry but in every aspect of life .
Salome
July 25, 2022
Very insightful breakdown of the soft-skills required in a Data Scientist position. I look forward to researching each skill more in depth.

Charts

Price

Essential Non Technical Skills of Effective Data Scientists - Price chart

Rating

Essential Non Technical Skills of Effective Data Scientists - Ratings chart

Enrollment distribution

Essential Non Technical Skills of Effective Data Scientists - Distribution chart
3872552
udemy ID
2/24/2021
course created date
2/27/2021
course indexed date
Bot
course submited by