09-28-2024, 09:12 AM
How To Become A Data Scientist: No Secrets, No Shortcuts
![[Image: 8de74cdd67cc13999d81de9cbfff0a7a.jpeg]](https://i124.fastpic.org/big/2024/0928/7a/8de74cdd67cc13999d81de9cbfff0a7a.jpeg)
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.29 GB | Duration: 0h 35m
Avoid myths and scams as you learn what it actually takes to become a data scientist
What you'll learn
Identify the typical steps required to become a data scientist in the real world
Understand why honesty and humility are essential attributes for a successful data scientist
Understand why formal education is often the most probable path to success in data science
Understand why work experience is essential for demonstrating data science skills
Requirements
No prior knowledge or experience are required
Description
Do you want to become a data scientist? Of course you do. But where to start?Unfortunately, many aspiring data scientists start on social media, where they learn to
rop the "aspiring." You're a data scientist already!Oversell your accomplishments. Make your resume rise to the top of the pile!Make up some numbers if it helps you make your case. 95% of data scientists _______!Don't go to college. Just do personal projects!Of course, it's not so simple. Yes, there are people who follow these principles and still manage to find success. But for most, the path is both less and more complicated. Less complicated because it will follow the more intuitive process of iteratively gaining education and experience over time. More complicated because there is no one path, and you'll need to decide what specific skills you want to develop and what kind of data professional you want to become.This course will help you to track your experience and desired skills and create your own roadmap. It will also refute some of the common myths and tricks that are out there while taking you through the steps of a more probable path to successon't LieStart Where You AreGet EducationGet ExperienceKeep GrowingThis isn't a secret process. But it will take a lot of time and hard work. This course will walk you through how honesty, education, experience, and humility are the best ways to get started on becoming a data professional and continuing to progress throughout your career.
Overview
Section 1: How to Become a Data Scientist
Lecture 1 How to Become a Data Scientist
Section 2: Don't Lie
Lecture 2 Don't Lie
Section 3: Start Where You Are
Lecture 3 Start Where You Are
Section 4: Get Education
Lecture 4 Get Education
Section 5: Get Experience
Lecture 5 Get Experience
Section 6: Keep Growing
Lecture 6 Keep Growing
Aspiring data scientists at all levels of experience and skill
Screenshots
![[Image: 3d752b6f11d1dc06f4f3ffe5866dbf75.jpeg]](https://i124.fastpic.org/big/2024/0928/75/3d752b6f11d1dc06f4f3ffe5866dbf75.jpeg)
rapidgator.net:
ddownload.com:
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.29 GB | Duration: 0h 35m
Avoid myths and scams as you learn what it actually takes to become a data scientist
What you'll learn
Identify the typical steps required to become a data scientist in the real world
Understand why honesty and humility are essential attributes for a successful data scientist
Understand why formal education is often the most probable path to success in data science
Understand why work experience is essential for demonstrating data science skills
Requirements
No prior knowledge or experience are required
Description
Do you want to become a data scientist? Of course you do. But where to start?Unfortunately, many aspiring data scientists start on social media, where they learn to
rop the "aspiring." You're a data scientist already!Oversell your accomplishments. Make your resume rise to the top of the pile!Make up some numbers if it helps you make your case. 95% of data scientists _______!Don't go to college. Just do personal projects!Of course, it's not so simple. Yes, there are people who follow these principles and still manage to find success. But for most, the path is both less and more complicated. Less complicated because it will follow the more intuitive process of iteratively gaining education and experience over time. More complicated because there is no one path, and you'll need to decide what specific skills you want to develop and what kind of data professional you want to become.This course will help you to track your experience and desired skills and create your own roadmap. It will also refute some of the common myths and tricks that are out there while taking you through the steps of a more probable path to successon't LieStart Where You AreGet EducationGet ExperienceKeep GrowingThis isn't a secret process. But it will take a lot of time and hard work. This course will walk you through how honesty, education, experience, and humility are the best ways to get started on becoming a data professional and continuing to progress throughout your career.Overview
Section 1: How to Become a Data Scientist
Lecture 1 How to Become a Data Scientist
Section 2: Don't Lie
Lecture 2 Don't Lie
Section 3: Start Where You Are
Lecture 3 Start Where You Are
Section 4: Get Education
Lecture 4 Get Education
Section 5: Get Experience
Lecture 5 Get Experience
Section 6: Keep Growing
Lecture 6 Keep Growing
Aspiring data scientists at all levels of experience and skill
Screenshots
rapidgator.net:
ddownload.com:
