Data Science Roadmap: Begin a Career in Data Science | Future of Data & AI | Data Science Dojo
In this AMA session, we will cover the essentials of starting a career in data science. We will discuss the key skills, resources, and strategies needed to break into data science and give advice on how to stand out from the competition. We will also cover the most common mistakes made when starting out in data science and how to avoid them. Finally, we will discuss potential job opportunities, the best ways to apply for them, and what to expect during the interview process. About the Panelists: Jimmy Nguyen: Senior Data Scientist at LinkedIn, former HR to Engineering transfer, transformed from Analyst to Data Scientist through a part-time Master in Statistics, online courses, and side-projects. Muazma Zahid: Principal PM Manager at Microsoft Azure Data, where she enables customers to deploy the most demanding Data workloads on Microsoft Azure. Avery Smith: Data scientist, the founder of Data Career Jumpstart, runs consulting firm helping businesses become more data-driven, formerly worked at ExxonMobil & Vaporsens. Nick Singh: Formerly worked at Facebook, Google, and Microsoft, best-selling author of Ace the Data Science Interview, job hunting, and interview tips read by over 10 million people on LinkedIn. Table of contents: 00:00 – Introduction 03:28 – Do you need a specific degree to break into a data science career? 07:00 – Transitioning to a career in data science 09:50 – Use of data science skills in multiple industries 12:28 – Will it be hard to find a data science job with the ongoing tech layoffs? 16:00 – What kind of projects and skills do recruiters look for in an application? 22:25 – Difference between a data scientist, data engineer, and data analyst 30:00 – A road map to becoming an ML engineer with an economics background 33:26 – The future of data science with advancements in LLM and generative AI space 37:50 – The future of Geospatial and tips for entering the field 41:50 – What stands out more in a data science job application: good projects without solid work experience, gaps, or non-related experience, or 5-7 years of experience with a good company without any projects? 45:30 – What are the hard skills required for an entry-level data scientist or data engineer? 54:00 – Typical data science skills and abilities companies look for when hiring candidates in data science 57:40 – Technical expertise required for leaders in data science, AI, and business fields 1:01:40 – How to prepare for coding interviews at top tech companies for a data scientist role 1:05:00 – ChatGPT's success in clearing FANG interviews 1:05:40 – Learning pathway for professionals without a software engineering background to become credible in data/ML 1:07:40 – Approach to a data science project in an interview 1:13:30 – One piece of advice for someone starting their data science journey -- At Data Science Dojo, we believe data science is for everyone. Our data science trainings have been attended by more than 10,000 employees from over 2,500 companies globally, including many leaders in tech like Microsoft, Google, and Facebook. For more information please visit: https://hubs.la/Q01Z-13k0 💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: https://hubs.la/Q01ZZGL-0 💼 Get started in the world of data with our top-rated data science bootcamp: https://hubs.la/Q01ZZDpt0 💼 Master Python for data science, analytics, machine learning, and data engineering: https://hubs.la/Q01ZZD-s0 💼 Explore, analyze, and visualize your data with Power BI desktop: https://hubs.la/Q01ZZF8B0 -- Unleash your data science potential for FREE! Dive into our tutorials, events & courses today! 📚 Learn the essentials of data science and analytics with our data science tutorials: https://hubs.la/Q01ZZJJK0 📚 Stay ahead of the curve with the latest data science content, subscribe to our newsletter now: https://hubs.la/Q01ZZBy10 📚 Connect with other data scientists and AI professionals at our community events: https://hubs.la/Q01ZZLd80 📚 Checkout our free data science courses: https://hubs.la/Q01ZZMcm0 📚 Get your daily dose of data science with our trending blogs: https://hubs.la/Q01ZZMWl0 -- 📱 Social media links Connect with us: https://www.linkedin.com/company/data-science-dojo Follow us: https://twitter.com/DataScienceDojo Keep up with us: https://www.instagram.com/data_science_dojo/ Like us: https://www.facebook.com/datasciencedojo Find us: https://www.threads.net/@data_science_dojo -- Also, join our communities: LinkedIn: https://www.linkedin.com/groups/13601597/ Twitter: https://twitter.com/i/communities/1677363761399865344 Facebook: https://www.facebook.com/groups/AIandMachineLearningforEveryone/ Vimeo: https://vimeo.com/datasciencedojo Discord: https://discord.com/invite/tj8ken4Err _ Want to share your data science knowledge? Boost your profile and share your knowledge with our community: https://hubs.la/Q01ZZNCn0 #datascience #ai #career
In this AMA session, we will cover the essentials of starting a career in data science. We will discuss the key skills, resources, and strategies needed to break into data science and give advice on how to stand out from the competition. We will also cover the most common mistakes made when starting out in data science and how to avoid them. Finally, we will discuss potential job opportunities, the best ways to apply for them, and what to expect during the interview process. About the Panelists: Jimmy Nguyen: Senior Data Scientist at LinkedIn, former HR to Engineering transfer, transformed from Analyst to Data Scientist through a part-time Master in Statistics, online courses, and side-projects. Muazma Zahid: Principal PM Manager at Microsoft Azure Data, where she enables customers to deploy the most demanding Data workloads on Microsoft Azure. Avery Smith: Data scientist, the founder of Data Career Jumpstart, runs consulting firm helping businesses become more data-driven, formerly worked at ExxonMobil & Vaporsens. Nick Singh: Formerly worked at Facebook, Google, and Microsoft, best-selling author of Ace the Data Science Interview, job hunting, and interview tips read by over 10 million people on LinkedIn. Table of contents: 00:00 – Introduction 03:28 – Do you need a specific degree to break into a data science career? 07:00 – Transitioning to a career in data science 09:50 – Use of data science skills in multiple industries 12:28 – Will it be hard to find a data science job with the ongoing tech layoffs? 16:00 – What kind of projects and skills do recruiters look for in an application? 22:25 – Difference between a data scientist, data engineer, and data analyst 30:00 – A road map to becoming an ML engineer with an economics background 33:26 – The future of data science with advancements in LLM and generative AI space 37:50 – The future of Geospatial and tips for entering the field 41:50 – What stands out more in a data science job application: good projects without solid work experience, gaps, or non-related experience, or 5-7 years of experience with a good company without any projects? 45:30 – What are the hard skills required for an entry-level data scientist or data engineer? 54:00 – Typical data science skills and abilities companies look for when hiring candidates in data science 57:40 – Technical expertise required for leaders in data science, AI, and business fields 1:01:40 – How to prepare for coding interviews at top tech companies for a data scientist role 1:05:00 – ChatGPT's success in clearing FANG interviews 1:05:40 – Learning pathway for professionals without a software engineering background to become credible in data/ML 1:07:40 – Approach to a data science project in an interview 1:13:30 – One piece of advice for someone starting their data science journey -- At Data Science Dojo, we believe data science is for everyone. Our data science trainings have been attended by more than 10,000 employees from over 2,500 companies globally, including many leaders in tech like Microsoft, Google, and Facebook. For more information please visit: https://hubs.la/Q01Z-13k0 💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: https://hubs.la/Q01ZZGL-0 💼 Get started in the world of data with our top-rated data science bootcamp: https://hubs.la/Q01ZZDpt0 💼 Master Python for data science, analytics, machine learning, and data engineering: https://hubs.la/Q01ZZD-s0 💼 Explore, analyze, and visualize your data with Power BI desktop: https://hubs.la/Q01ZZF8B0 -- Unleash your data science potential for FREE! Dive into our tutorials, events & courses today! 📚 Learn the essentials of data science and analytics with our data science tutorials: https://hubs.la/Q01ZZJJK0 📚 Stay ahead of the curve with the latest data science content, subscribe to our newsletter now: https://hubs.la/Q01ZZBy10 📚 Connect with other data scientists and AI professionals at our community events: https://hubs.la/Q01ZZLd80 📚 Checkout our free data science courses: https://hubs.la/Q01ZZMcm0 📚 Get your daily dose of data science with our trending blogs: https://hubs.la/Q01ZZMWl0 -- 📱 Social media links Connect with us: https://www.linkedin.com/company/data-science-dojo Follow us: https://twitter.com/DataScienceDojo Keep up with us: https://www.instagram.com/data_science_dojo/ Like us: https://www.facebook.com/datasciencedojo Find us: https://www.threads.net/@data_science_dojo -- Also, join our communities: LinkedIn: https://www.linkedin.com/groups/13601597/ Twitter: https://twitter.com/i/communities/1677363761399865344 Facebook: https://www.facebook.com/groups/AIandMachineLearningforEveryone/ Vimeo: https://vimeo.com/datasciencedojo Discord: https://discord.com/invite/tj8ken4Err _ Want to share your data science knowledge? Boost your profile and share your knowledge with our community: https://hubs.la/Q01ZZNCn0 #datascience #ai #career