Top 10 Data Science LinkedIn Influencers to Follow in 2024
LinkedIn has a vibrant Data Science & Data Analytics community, with thousands of Data folks who actively post industry trends, give career advice, and post data memes. Be it getting updated about recent developments in AI and Machine Learning or seeking tips to level up, one needs to follow the right influencers.
Here are the top 10 Data Science LinkedIn influencers you need to follow and connect with in 2024!
Top 10 Data Science LinkedIn Influencers You Should Follow
Daliana Liu
Daliana Liu is a prolific data scientist who shares useful posts on machine learning, career growth, and personal stories in the field. Whether one is at the starting stage or a full-fledged professional, her posts are always a source of valuable advice and encouragement for somebody facing an ever-changing Data Science world.
Why follow her? Daliana posts a lot about AI and ML with some great tips on searching for a job in data science. She is fantastic at explaining complex technical things in simple terms.
Nick Singh
Nick Singh is coauthor of Ace the Data Science Interview: an Amazon #1 Best Seller, and founder of DataLemur: a popular platform offering real-world data science interview questions. Nick writes career tips, SQL challenges, and insights on how to crack data science interviews.
Why follow him? Whether getting ready for data science interviews or just wanting to raise the bar, Nick is a goldmine. His career advice intertwined with technical challenges makes him a must-follow for any aspiring data scientist.
Kristin Kehrer
Kristin Kehrer is a data science coach and educator who goes by the handle "Data Moves Me." She's passionate about helping other people break into the field, from job interview tips to technical tutorials.
Why follow her? Kristin is especially great for newcomers looking to make their first steps in data science. Her threads are informative, encouraging, and full of real-world advice.
Andrew Jones
Andrew Jones is the founder of Data Science Infinity, which is an online learning platform that helps enable people to become successful in data science. Ranging from deeply technical end-to-end posts to the creation of strong careers, he is one of the authoritative sources for learning and inspiration.
Why follow him? Andrew's content is ideal for sharpening your data science skills. He covers very specific in-depth tutorials to broader career advice, and anything that might come up, all covered.
Megan Lieu
Megan Lieu is an emerging force in the data science space, helping beginners grapple with the many nuances in the field. Her career advice, job applications, and reflection on personal challenges working in data science make her posts relatable and deep.
Why follow her? Megan gives great tips both for the beginner and job seeker alike, often sharing her own experiences in the way of breaking into the industry. Her content is supportive, motivational, and full of practical advice.
Sudas Khalid
Sundas Khalid is a senior data scientist at Google and is very active in sharing her tech journey through her advice on career transitions, breaking into data science, and generally excelling in tech. Her posts are technical and personal; for that, she is worth growing as a resource.
Why follow her? Sundas is a fantastic mentor for women in tech and for the ones willing to become advanced in data science. She often shares very practical tips, career development advice, and motivational stories that appeal to professionals of every level.
Monica Kay Royal
Monica Kay Royal is a resident data science professional and a loud advocate for diversity in tech. She tweets about data science and social justice, placing a strong focus on using data for good. She also shares technical insights, which makes her a unique influencer.
Why follow her? Monica brings a unique voice to the conversation about data science, merging technical acumen with a social passion for making a positive difference in the world using data. Her posts are always so reflective and motivating.
Richad Nieves-Becker
Richad Nieves-Becker is a leading voice within data science, frequently sharing thoughts on AI, machine learning, and data ethics. He provides deep technical dives, career advice, and musings on the future of data science. His content is very engaging and informative.
Why follow? Richad's insights into the ethical ramifications of data science, in concert with his technical insight, make him a must-follow for those interested in AI and machine learning.
Avery Smith
Avery Smith is the founder of Data Career Jumpstart, a data science learning platform which helps people break into the field. His posts are a mix of career advice, data science tips, and motivational content to help others find success in this field.
Why follow him? Avery's advice about breaking into data science is pretty pragmatic, but combined with motivational posts, that makes him a very good source to get knowledge from for people who are at the beginning and advanced levels of their careers.
Alex Freberg
Alex Freberg, aka "Alex The Analyst," is the founder of AnalystBuilder.com and the host of a popular YouTube channel where he breaks down how-to data analysis techniques to his audience. An accomplished data analyst himself, with experience in SQL, Python, and data visualization tools, Alex loves making others successful in the data field.
Why follow him? Alex provides practical, easy-to-understand tutorials and technical questions aimed at helping aspiring data analysts sharpen their skills. His content is full of actionable advice, from coding tips to career-building strategies.
Why Should I Follow?
Following the right influencers on LinkedIn can supercharge your career in data science by keeping you updated on industry trends, job opportunities, and technical insights. Whether you’re just starting out or looking to level up, these Top 10 Data Science LinkedIn influencers are valuable connections who share both knowledge and inspiration. Go ahead, hit that connect button, and get ready to stay ahead in the ever-evolving world of data science!
Interested in jump-starting your Data Science career? SQL in essential for any data scientist, and lucky for you I have a free SQL Tutorial to help you dive right in.