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
Start for free
What you get:
- 3 hours of content
- 12 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
How to Think Like a Data Scientist to Become One
Start for free
What you get:
- 3 hours of content
- 12 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
Start for free
What you get:
- 3 hours of content
- 12 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Develop the critical thinking skills of a data scientist
- Apply the scientific method to problem-solving
- Learn to frame problems and ask insightful questions for effective analysis
- Choose the best role in data science based on your personal traits
- Build an impactful project portfolio that will help you get hired
- Get ahead of others in terms of mindset and ability to see the big picture in data science
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
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.
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1.1 Why is data science so unique
6 min
1.2 The importance of projects
8 min
1.3 Roles in data science
15 min
1.4 Industry overview
10 min
1.5 What a project should do for you
9 min
1.6 What kind of project
10 min
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
- 1. Data science - Industry overview8 Lessons 70 Min
In this introductory section, you learn why data science is so unique and what it’s like to work in the field. The author introduces you to the importance of data science projects and how to build a project portfolio that stands out. He also discusses at length the various data science roles you can apply for and what type of mindset you should adopt to become a data scientist.
Why is data science so unique6 minThe importance of projects8 minRoles in data science15 minIndustry overview10 minWhat a project should do for you9 minWhat kind of project10 minHow many projects4 minData science mindset8 min - 2. Be your own manager7 Lessons 56 Min
If you are a data scientist, you cannot plan for insights. So, instead of spending a lot of time up front on planning, you need to be flexible enough to adapt and change - whether it’s a change in assumption or a change in question. The love of experimenting is vital. Most individuals new to data science still crave planning typical for other activities. In this part of the course, you’ll learn how to address these challenges and re-wire how you think about work.
Embrace ambiguity9 minData science lifecycles6 minThe analysis plan6 minRevisiting existing plans9 minAsk yourself these questions6 minAgility, flexibility, sprints10 minFinding project ideas10 min - 3. Think like a scientist6 Lessons 48 Min
The concept of data as a wilderness is one of the most compelling reasons for using the term ‘data science’ instead of outdated terms like ‘data mining’. We focus on the scientific method in this part of the course. This is not a new topic, as scientists have conducted scientific research for centuries. The difference, however, is that today we live in a data jungle with significantly more data. This tremendous amount of data allows us to gain powerful knowledge without leaving our office or home. We must use the scientific method to get to data’s truth and valuable answers—there’s no way around that.
The scientific method5 minThe scientific method in action12 minProblem framing6 minQuestions, assumptions, answers10 minQuestion design5 minMaking an effective analysis plan10 min
Topics
Course Requirements
- 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.
Who Should Take This Course?
Level of difficulty: Beginner
- Aspiring data analysts, data scientists, data engineers, machine learning engineers, and AI engineers
- Individuals who recognize the importance of soft skills and critical thinking
- People who want to gain an overall understanding of the data science field
- Students aiming to break into data science and seeking first-hand mentorship
Exams and Certification
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
Meet Your Instructor
Harpreet Sahota is a senior data scientist who has gained significant working experience with such companies as Bold Commerce, Price Industries, Comet, Pachyderm, and Deci AI as a manager. Harpreet describes himself as a proud data science generalist who can create value with his work thanks to solid statistics, business, data engineering, and machine learning engineering skills. He contributes to the data science community by mentoring 2,500+ up-and-coming data scientists who need quality leadership and technical guidance.
What Our Learners Say
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