Break into Data Science without Degree/Experience 2024
Haebichan Jung | Silicon Valley Data Scientist
3:12:45
Description
Real-World Strategies for Getting Hired without Degrees/Experiences | Machine Learning, Deep Learning, AI
What You'll Learn?
- Decode Data Science without Degrees: Grasp roles, tools, and industry relevance without formal data degrees or coding backgrounds.
- Tailored Career Readiness: Prepare strategically for data careers and interviews, leveraging your unique background.
- Customized Job Application Mastery: Master job strategies suited for non-traditional paths into data science.
- Navigate Applications Unconventionally: Successfully navigate stages, from recruiters to offers, despite non-coding origins.
Who is this for?
What You Need to Know?
More details
DescriptionEmbark on an empowering journey into the world of data science and AI with our course tailored for individuals without a coding background. Designed as a roadmap to navigate the complexities of this dynamic field, this course unveils the secrets to securing a data science job and pursuing a thriving career in AI.
IÂ Was Just Like You
IÂ didn't have a Data Science degree, trying to break into the field without experience. 6 years later, I've been working at cutting edge AI companies in Silicon Valley as a Senior Data Scientist with a competitive tech salary. I've also been working as an official career coach, helping dozens of others just like you to get into the data industry as a Data Science Mentor at SharpestMinds (YCombinator Company), as well as through UC Berkeley Distinguished Alumni Network.
Beat the Unimaginable Odds (sometimes 1 to 10000) Through Insider Knowledge I've gained in Hiring Committee
Craft standout resumes that beat the algorithms of Applicant Tracking Systems (ATS). Learn the art of standing out among thousands of applicants and understand why projects alone might not land you the job. Discover strategies to crack the intelligence test and optimize your job application approach. Explore the diversity of data roles and gain insights into the application cycle stagesâfrom engaging with recruiters and hiring managers to nailing technical interviews, take-home assignments, and negotiating offers.
Demystifying the Data Space
Unravel common and foundational queries, from the necessity of a master's degree to understanding the nuances between roles like data scientist, data analyst, and machine learning engineer. Discover essential portfolio projects, delve into commonly used tools and libraries (such as Python, SQL, and Dashboard creation), and explore the significance of domain knowledge in shaping a successful career in data science. Plus, learn about certifications that can set you apart in this competitive landscape.
Creating Your Path in Data Science
Finally, gain practical advice on creating personal branding, finding mentorship, and maintaining a healthy job pipeline. Understand the intricacies of the job application cycle and learn how to navigate through each stage effectively, avoiding common pitfalls.
Join us to acquire the skills, strategies, and confidence needed to triumph in the competitive data science and AI job market, regardless of your coding background. Unlock a world of opportunities and steer your career towards success in 2024 and beyond.
Who this course is for:
- Career Changers: Professionals from various fields looking to transition into data science without prior coding or data-related experience.
- Graduates & Entry-level: Recent graduates or individuals starting their careers seeking to enter the data science field.
- Curious Beginners: Anyone intrigued by data science, regardless of their current profession, aiming to explore this field without technical prerequisites.
Embark on an empowering journey into the world of data science and AI with our course tailored for individuals without a coding background. Designed as a roadmap to navigate the complexities of this dynamic field, this course unveils the secrets to securing a data science job and pursuing a thriving career in AI.
IÂ Was Just Like You
IÂ didn't have a Data Science degree, trying to break into the field without experience. 6 years later, I've been working at cutting edge AI companies in Silicon Valley as a Senior Data Scientist with a competitive tech salary. I've also been working as an official career coach, helping dozens of others just like you to get into the data industry as a Data Science Mentor at SharpestMinds (YCombinator Company), as well as through UC Berkeley Distinguished Alumni Network.
Beat the Unimaginable Odds (sometimes 1 to 10000) Through Insider Knowledge I've gained in Hiring Committee
Craft standout resumes that beat the algorithms of Applicant Tracking Systems (ATS). Learn the art of standing out among thousands of applicants and understand why projects alone might not land you the job. Discover strategies to crack the intelligence test and optimize your job application approach. Explore the diversity of data roles and gain insights into the application cycle stagesâfrom engaging with recruiters and hiring managers to nailing technical interviews, take-home assignments, and negotiating offers.
Demystifying the Data Space
Unravel common and foundational queries, from the necessity of a master's degree to understanding the nuances between roles like data scientist, data analyst, and machine learning engineer. Discover essential portfolio projects, delve into commonly used tools and libraries (such as Python, SQL, and Dashboard creation), and explore the significance of domain knowledge in shaping a successful career in data science. Plus, learn about certifications that can set you apart in this competitive landscape.
Creating Your Path in Data Science
Finally, gain practical advice on creating personal branding, finding mentorship, and maintaining a healthy job pipeline. Understand the intricacies of the job application cycle and learn how to navigate through each stage effectively, avoiding common pitfalls.
Join us to acquire the skills, strategies, and confidence needed to triumph in the competitive data science and AI job market, regardless of your coding background. Unlock a world of opportunities and steer your career towards success in 2024 and beyond.
Who this course is for:
- Career Changers: Professionals from various fields looking to transition into data science without prior coding or data-related experience.
- Graduates & Entry-level: Recent graduates or individuals starting their careers seeking to enter the data science field.
- Curious Beginners: Anyone intrigued by data science, regardless of their current profession, aiming to explore this field without technical prerequisites.
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Haebichan Jung | Silicon Valley Data Scientist
Instructor's Courses
Udemy
View courses Udemy- language english
- Training sessions 24
- duration 3:12:45
- Release Date 2024/02/14