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+--- Thread: Get Hired Break Into Data Science Without Degree Experience (/Thread-Get-Hired-Break-Into-Data-Science-Without-Degree-Experience)
Get Hired Break Into Data Science Without Degree Experience - OneDDL - 12-12-2023
![[Image: 8863e0dbdddddc5f903f07173e8567ce.jpeg]](https://i122.fastpic.org/big/2023/1212/ce/8863e0dbdddddc5f903f07173e8567ce.jpeg)
Free Download Get Hired Break Into Data Science Without Degree Experience
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.95 GB | Duration: 3h 13m
Proven, Real-World Strategies for Getting Hired without Degrees/Experiences
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.
Requirements
No prior skills or experience needed. This course is tailored for beginners from diverse backgrounds eager to start a career in data science.
Description
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.I Was Just Like YouI 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 CommitteeCraft 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 stages-from engaging with recruiters and hiring managers to nailing technical interviews, take-home assignments, and negotiating offers.Demystifying the Data SpaceUnravel 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 ScienceFinally, 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.
Overview
Section 1: Introduction
Lecture 1 Common Q and A for Getting into Data Science Space
Section 2: Preparing for your Studies: Crucial Study Techniques to be Interview-Ready
Lecture 2 Crack the Code: Study Smarter, not Everything, to get a Data Science Job
Lecture 3 Crack the Code 2: Avoid these Topics for Studying for Successful Data Interviews
Section 3: Preparing for Job Application: Strategic Essentials for Getting You Interviews
Lecture 4 Interview Foundations: The Crucial First Step That Shapes Your Data Science Inte
Lecture 5 Craft A Resume that Gets Chosen: How to be ahead of 10,000 other applicants
Lecture 6 Craft A Resume that Beats Your Competition (Part 2)
Lecture 7 Cover Letters: The Brutal Truth and Why You're Wasting Time
Lecture 8 Sorry, Projects Don't Give You Jobs: Let's Break the Myth and Here's Why
Lecture 9 IT Certifications: They Don't Get You Jobs Either - Why You're Wasting Resources
Lecture 10 Find the Right Mentor to Fast Track Success in Getting Call Backs
Section 4: Master Data Science Interviews: Insider Secrets from Recruiter Stage to Offer
Lecture 11 Recruiter Stage: Nail this Stage by Following these Steps
Lecture 12 Recruiter Call Role-play Demo
Lecture 13 Recruiter Stage (BONUS): Bonus step that'll get you to the Next Interview Stage
Lecture 14 If You're Failing the Recruiter Stage, Here's Why (and How to Pass Next Time)
Lecture 15 Hiring Manager Interview: Go Beyond Technical Skills to Master This Stage
Lecture 16 Hiring Manager Interview Role-play Demo
Lecture 17 Hiring Manager Interview: Final Tips on Nailing This Interview
Lecture 18 Cracking the Test: How to Pass Data Science Technical Interviews
Lecture 19 Cracking the Test (2): How to Pass Data Science Technical Interviews
Lecture 20 Conquer the Final Interview: The "Meet the Upper Management" Stage
Section 5: The Offer Stage: Close the Deal by Mastering Job Negotiation Techniques
Lecture 21 The Offer Stage: Master Data Science Job Negotiations
Lecture 22 Pre-Offer Stage HR Manager Interview Role-play Demonstration
Lecture 23 Offer Negotiation Role-play Demo: One Offer Only
Lecture 24 Offer Negotiation Role-play: Multiple Offers
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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