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How to Think Like a Data Scientist to Become One

Develop your mindset and learn to think like a senior data scientist. Embrace the multifaceted approach needed to succeed in data science

4.9

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7811 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

3 hours
  • Lessons (3 hours)

CPE credits:

3.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Develop the critical mindset needed to think like a data scientist.
  • Apply the scientific method to problem-solving.
  • Learn to frame problems and ask insightful questions effectively.
  • Build impactful portfolio projects to stand out.
  • Choose the best data science role based on your traits.

Topics & tools

career developmentproblem solvingproblem framingscientific methodquestion designsoft skillstheory

Your instructor

Course OVERVIEW

Description

CPE Credits: 3.5 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Do you want to improve your understanding of the data scientist role? Are you looking for a mentor who will help you develop a data scientist mindset? If so, then you have come to the right place, as this is the perfect course for you. Data science is unique for its combination of several different knowledge bases and skillsets. To become a successful data scientist, you need critical thinking, problem-solving, programming, engineering, math, statistics, business acumen, communication, and project management. Bootcamps and university degrees certainly don’t teach or prepare you to utilize all these skills together. So, how can you learn how to think like a data scientist and develop a multifaceted skillset? The ‘How to think like a data scientist’ course will help you do just that. Think of this training as your opportunity to gain experience and advice from someone who has been on the job for several years and wants to spend time with you and share what they have learned as a senior data scientist. The course is valuable for aspiring data analysts and data scientists, and is highly recommended for professionals who have recently landed their first data science job and want to grow professionally. Join us on a journey that will explain why data science is so unique, which are the various roles in the data science field, and how to land a job in data science. You will learn about the importance of building an impactful project portfolio and how to choose the right types of projects for your portfolio. In the second part of the course, you will learn how to be your own manager and plan your data science work. This is a significantly different process compared to any other job role and you need to re-wire how you think of projects and deadlines. In the third section of the ‘How to think like a data scientist’ course, we will focus on the scientific method and the importance to learn to think like a data scientist. This will allow you to develop a holistic understanding and you will learn how to frame problems, how to design and ask the right questions, and how to make an effective analysis plan. If you want to work in the data science field, this course can be immensely helpful because it equips you with the mindset and skills needed to tackle real-world challenges and excel in your career. How is this data scientist training different than the rest? There are several differentiating factors. 1. Content quality Enjoy a structured learning experience with animated lessons that were carefully prepared and delivered by an engaging instructor. The How to think like a data scientist course is concise, to the point, and extremely interesting because it teaches the first-hand experience of a senior data scientist. 2. Instructor Harpreet Sahota, your instructor, is a seasoned data scientist and one of the most influential voices in the data community on LinkedIn. With a successful career as an AI Engineer and a decade of experience in data science, Harpreet brings invaluable insights and expertise. Learn from someone who has walked the walk and can enrich your professional mindset. 3. Interactive exercises The interactive exercises we have built into our platform are truly innovative and will help you solidify everything you have learned in the lessons. Learning by doing is at its finest in this Think like a data scientist course.

Prerequisites

  • No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course.

Advanced preparation

Curriculum

21 lessons 1 exam

Free preview

Why is data science so unique

1.1 Why is data science so unique

6 min

The importance of projects

1.2 The importance of projects

8 min

Roles in data science

1.3 Roles in data science

15 min

Industry overview

1.4 Industry overview

10 min

What a project should do for you

1.5 What a project should do for you

9 min

What kind of project

1.6 What kind of project

10 min

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ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-Study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.