Essential Non Technical Skills of Effective Data Scientists

Essential Non Technical Skills of Effective Data Scientists, available at $44.99, has an average rating of 4.39, with 18 lectures, based on 1191 reviews, and has 69341 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Science Professionals or Professionals / Students planning to be a Data Scientist or All Working Professionals who want to improve their efficiency at work or Hiring Managers looking for Data Scientists or Any Individual in any Job Profile It is particularly useful for Data Science Professionals or Professionals / Students planning to be a Data Scientist or All Working Professionals who want to improve their efficiency at work or Hiring Managers looking for Data Scientists or Any Individual in any Job Profile.

Enroll now: Essential Non Technical Skills of Effective Data Scientists

Summary

Title: Essential Non Technical Skills of Effective Data Scientists

Price: $44.99

Average Rating: 4.39

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: ?1,199

Quality Status: approved

Status: Live

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

Who Should Attend

Data Science Professionals

Professionals / Students planning to be a Data Scientist

All Working Professionals who want to improve their efficiency at work

Hiring Managers looking for Data Scientists

Any Individual in any Job Profile

Target Audiences

Data Science Professionals

Professionals / Students planning to be a Data Scientist

All Working Professionals who want to improve their efficiency at work

Hiring Managers looking for Data Scientists

Any Individual in any Job Profile

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Essential Non Technical Skills for Data Science Professionals / Students

Lecture 1: Curiosity

Lecture 2: Business Acumen

Lecture 3: Communication Skills

Lecture 4: Teamwork

Lecture 5: Critical Thinking

Lecture 6: Ethics

Lecture 7: Active Listening

Lecture 8: Open Mindedness

Lecture 9: Creativity

Lecture 10: Data Intuition

Lecture 11: Data Driven Decision Making

Lecture 12: Collaboration

Lecture 13: Problem Solving

Lecture 14: Story Telling

Lecture 15: Adaptability

Chapter 3: Conclusion

Lecture 1: Next Steps

Lecture 2: Congratulations on Completing the Course

Instructors

Prince Patni
Software Developer (BI, Data Science)

Rating Distribution

1 stars: 23 votes

2 stars: 51 votes

3 stars: 243 votes

4 stars: 427 votes

5 stars: 447 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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!