Data scientists are in high demand. This makes it difficult to discern which companies are legit and which ones might be scams. To help you make a more informed decision, we’ve created this blog post with our expert data science review for the Data Science Dream Job: https://www.linkedin.com/pulse/data-science-dream-job-review/.
The “data science dream job reddit” is a website that reviews data science jobs. The site has been called a scam or legit by different people, but the general consensus is that it’s not worth using.
Are you seeking for a review of a Data Science Dream Job? Kyle McKiou is a name you may have heard of if you desire to earn money online. However, you can worry whether it’s a ruse.
Helping individuals understand about internet money-making options is my passion. I’ve examined a lot of programs over the years, including Data Science Dream Job.
I’ve spent the last week researching Data Science Dream Job so that I can tell you more about it.
I’m not linked with Kyle McKiou, just to be clear. It indicates I was not compensated for writing this review. As a result, you can be certain that my opinions are impartial.
I’ll also tell you about a superior option that has allowed me to create a full-time passive income online at the conclusion of this article.
I’ll go through the following topics in this Data Science Dream Job review.
Kyle McKiou, who is he?
The Data Science Dream Job course was created by Kyle McKiou.
Kyle earned a PhD in mathematics in college with the intention of becoming an investment banker or hedge fund manager. He understood after a year of studies that he didn’t want to work for a bank; he wanted a meaningful profession.
He eventually dropped out of his PhD program after earning his master’s degree and went on to work as a software developer. Despite the fact that he loved many elements of the work, he was dissatisfied with his performance.
In a Harvard Business Review study, Kyle determined that data science was one of the most appealing careers of the twenty-first century.
He wasn’t able to prove his naysayers wrong, break the code, and obtain his first job in data science until he put in a lot of effort, trial and error, and experimentation.
He became senior director of data science at one of the fastest-growing private marketing organizations, evaluating hundreds of people and recruiting 30+ data scientists after refining his data science job search tactics.
Kyle built the Data Science Dream Job course to assist students break into the business and discover their dream job as fast as possible, as many gurus who have achieved success in their professions have done.
Recommendation: This Is The Best Option
Overview of the Data Science Dream Job
The Data Science Dream Job course teaches aspiring data analysts and scientists how to learn certain algorithms and data abilities, build a portfolio, position yourself as an expert, prepare for interviews, and negotiate a compensation.
The DSDJ course has around 150 hours of coursework. The majority of the course is self-paced. Students get comments on their work on a weekly basis. The course covers resume writing, LinkedIn profile optimization, and portfolio creation, among other things.
DSDJ creator Kyle McKiou offers a mentorship program that includes monthly calls and practice computations. This 60-minute mentorship event takes place every Saturday at 9:00 a.m. PDT.
The result is as follows:
Module 1: What is Success?
In the first lesson, you’ll learn how to define objectives and find out what you want in a Data Science Dream Job, as well as the many data science positions and phrases you should be familiar with.
Module 2: Mentality
Module 2 focuses on building positive habits, increasing your self-image, and other topics. This kind of training is tedious for me, but it only takes a short period of time.
Module 3: Technical Knowledge and Skills
You will discover what data science is all about in Module 3. Math, statistics, programming, analysis, machine learning, and much more will be covered. Deep learning, data science, and software engineering will also be covered.
Portfolio (Module 4)
Module 4 will teach you how to develop your portfolio, including how to create your own data science project and what not to do while doing so.
Module 5: Creating Your Narrative
Module 5’s “tell me about yourself” portion teaches you how to brand yourself and become a great storyteller.
Module 6: LinkedIn, GitHub, and Resume
Module 6 will teach you how to write a strong CV, what to avoid, and how to demonstrate your skills by creating a Linkedin profile and a GitHub account.
Getting Interviews (Module 7)
This part will discuss how to obtain a data science job interview. You’ll also discover how to work with hiring agencies and how to get your resume prioritized.
HR Phone Screens (Module 8)
It teaches you how to ace phone interviews. You’ll also focus on identifying any holes on your résumé and dealing with pay queries.
Technical Screens (Module 9)
It explains how to figure out what your panelists actually want and how to handle problems that arise during technical screening.
Module 10: Coding Challenges and Take-Home Assignments
Module 10 will teach you how to excel in challenges and homework tasks, as well as how to figure out what screeners are searching for.
Interviews in Person (Module 11)
Module 11 discusses how to succeed in a face-to-face interview, includ