Top 10 data science leader you should follow năm 2024

Data is growing rapidly, changing its dynamic from time to time. Considering that taking advice from experts is a practical course of action. In today’s time, due to social media, a lot of data influencers are sharing their views on how to harness your data effectively. Following these data influencers will benefit your business as you stay up-to-date with the latest industry trends, innovative strategies, and emerging technologies. These experts offer valuable insights, fostering informed decision-making, enhancing data utilization, and driving business growth.

Top 10 Data Influencers

Here are the top ten data influencers you should follow in 2024:

Andrew NG

Dr. Andrew Ng is a global AI (Artificial Intelligence) luminary renowned for his thorough understanding of the data-driven landscape. He holds pivotal roles as the founder of DeepLearning.AI, General Partner of AI Fund, CEO of Landing AI, and Co-Founder of Coursera. He is also the former head of Baidu AI.

Currently an adjunct professor at Stanford University, Andrew spearheaded the creation of Stanford University’s primary Massive Open Online Courses (MOOC) back in 2011. Driven by his vision to democratize education globally, Andrew Ng aspires to provide universal access to exceptional education without financial barriers. Coursera, which collaborates with leading universities, stands today as one of the most reputable MOOC platforms, offering top-notch online courses.

In 2013, Andrew made it to the Time 100 list of the most influential persons in the world. With 919.6 K on X and 1,364,093 followers on LinkedIn, he is active on social media, frequently sharing his thoughts on various data-related topics.

Kirk Borne

Dr. Kirk serves as the Chief Science Officer at DataPrime, Inc. His expertise encompasses areas like data mining, data management, big data analytics, machine learning, dynamic system modeling, AI, internet of Things, etc.

Kirk dedicated two decades to supporting various NASA projects. He was the data archive project scientist for the Hubble Space Telescope and contributed to the Astronomy Data Center and the Space Science Data Operations Office.

Kirk significantly contributed to the design and development of the new Large Synoptic Survey Telescope. He also contributed to science data management, informatics, statistical science research, galaxy exploration, and educational outreach. He earned recognition as a Fellow of the International Astrostatistics Association for his advancements in big data research in astronomy. With close to 437K followers on X and over 80,000 followers on LinkedIn, he is active on social media.

Ben Rogojan

With a diverse background spanning multiple industries, Ben Rogojan has worked at prominent companies like Facebook as a data engineer. With this breadth of experience, he assisted businesses in enhancing, modernizing, and migrating their data infrastructure. Ben’s expertise extends to migrating companies from outdated ETL systems and enhancing overall data performance for organizations.

Ben’s primary focus has been creating fraud detection algorithms, curbing patient readmissions, and restructuring insurance provider policies to lower healthcare expenses. He also played a role in developing analytics for marketing and IT operations. The goal was to optimize limited resources like the budget.

Privately consulting on data science and engineering predicaments, Ben collaborates independently and with Acheron Analytics. With 114,942 followers on Linkedin, he frequently shares his views on data-related peripheries.

Ronald VanLoon

Ronald holds the title of the world’s number 1 influencer in Data and Analytics, Automation, and the Future Economy, according to Onalytica. He served as the CEO of Intelligent World and is a thought leader in Data Science and Digital Transformation. Ronald helps businesses succeed by analyzing big data and unlocking its value for business benefits.

In his own words, Ronald’s passion lies in Machine Learning, Deep Learning, and Data Governance. He believes these specific domains profoundly influence businesses, society, and our daily lives. He has given lectures on IoT, AI, big data, 5G, deep learning, cloud, etc.

With 320K followers on X and 88,492 followers on Linkedin, Ronald’s social media presence needs no highlighting.

Andriy Burkov

Andriy Burkov is a machine learning team leader at Gartner and the author of books like “The Hundred-Page Machine Learning Book” and “Machine Learning Engineering.” He also holds a PhD in artificial intelligence.

With over two decades dedicated to computing projects, Andriy brings extensive hands-on experience in automated data, machine learning, and Linux hacking. His expertise in Python and Java and substantial experience in big data design complement his strong scientific programming and team leadership skills.

Andriy offers over 15 years of practical proficiency in natural language processing, database setup, and a dedicated focus on advancing technological frontiers. Andriy has 273k followers on LinkedIn and frequently enlightens people on data science intricacies.

Barr Moses

Barr Moses, the CEO and co-founder of Monte Carlo, pioneered the data observability category. She co-authored “Data Quality Fundamentals: Building Reliable Data Pipelines.” She is also credited for introducing the term “data downtime,” which describes intervals when data is incomplete, faulty, absent, or imprecise.

Barr served as the VP of Customer Operations at Gainsight and worked as a management consultant at Bain and Company. She also commanded an intelligence data analyst unit in the Israeli Air Force.

Barr holds a B.Sc. in Mathematical and Computational Science from Stanford University. With almost 47,320 followers on Linkedin, she is active on social media, including X.

Deepak Goyal

Deepak, a certified big data and Azure Cloud Solution Architect has over 13 years of experience in the IT industry. With a decade-long experience in big data, he was among the pioneers working on Hadoop Big Data Analytics.

Presently, he aids companies in defining data-driven architecture and constructing robust cloud-based data platforms, specializing in Microsoft Azure. He spearheads the highly-ranked Azure blog, azurelib.com.

Deepak assists people in grasping complex cloud concepts and technologies. These include Azure Data Factory, Azure DataBricks, Apache Spark, Azure Synapse Analytics, Azure Key Vault, Snowflake, Encryption Decryption, Azure Blob Storage, and numerous other technologies. Deepak is an active user of social media, sharing valuable insights on data-related matters. Deepak has 156,699 followers on LinkedIn and over 6k followers on Twitter.

Vincent Granville

Vincent Granville, the Author and Publisher at MLtechniques.com, stands as a distinguished figure in the field of data science and machine learning. His corporate journey spans over 20 years, working in companies such as CNET, Microsoft, eBay, Wells Fargo, etc. He is also the co-founder of Data Science Central, a platform later acquired by TechTarget in 2020.

Vincent had previous affiliations with Cambridge University and the National Institute of Sciences (NISS) as a post-doctoral researcher. His expertise is evident through his contributions to esteemed journals. Journal of Number Theory, Journal of the Royal Statistical Society, and IEEE Transactions on Pattern Analysis and Machine Intelligence are some of his famous publications.

Residing in Washington state, he passionately delves into research on stochastic processes, dynamic systems, experimental math, and probabilistic number theory. He is actively present on social media, with over 76,957 followers on LinkedIn.

Bernard Marr

Bernard Marr is globally recognized for his expertise in driving business performance, digital transformation, and leveraging data intelligently. His impact extends across renowned organizations like Accenture, Microsoft, NATO, and Walmart, where he has provided guidance on business strategies and business innovation. Apart from these, Bernard also advised companies like Amazon, Google, IBM, Qlik, Nokia, Dell and many more.

Bernard has authored 15 books, including best-sellers like “Data Strategy,” “Big Data in Practice,” and “The Intelligent Company.” Bernard Marr’s books achieved remarkable success, being translated into more than 20 languages and earning prestigious accolades. They’ve been Amazon's No.1 bestsellers and received awards like the CMI Management Book of the Year and the Axiom Book Award.

Bernard is a renowned keynote speaker and has a strong social media presence with 138.6K followers on X and 1,472,424 followers on LinkedIn.

Allie K. Miller

Allie Miller, the US Head of AI Business Development for Startups and Venture Capital at Amazon (AWS), champions leading AI companies globally. Formerly at IBM, Allie became the youngest woman ever to create an AI product, overseeing expansive development in computer vision, conversation, data, and regulation.

Recognized as 2019’s “AI Innovator of the Year” by Forbes and the AI Summit, Allie is a LinkedIn Top Voice for Technology 2019. She is also part of Award Magazine’s Top 50 Women in Tech.

Allie also featured in ReadWrite’s Top 20 AI Speakers, MKAI’s Top 20 AI Mavericks, and Neptune’s Top 20 AI influencers. Additionally, she founded the AI Pipeline for diversity in ML. Allie has 45.8K followers on Twitter and 1,361,535 followers on LinkedIn.

How can Airbyte Help with Data-Related Issues?

Generally, data influencers talk about how you can organize and harness the potential of big data. One of the widely used tools to organize data is Airbyte. Data engineers face various challenges while dealing with massive amounts of data. However, with Airbyte, data practitioners can migrate data from popular sources to destinations seamlessly.

Airbyte allows you to carry out incremental or full refreshes for databases of any size. For incremental changes, Airbyte’s Change Data Capture (CDC) technology allows you to swiftly identify data changes in the target system, enabling efficient replication using minimal resources.

Marc Lamberti, who is a best-selling instructor at Udemy, did an online survey on LinkedIn asking people their favorite data ingestion tool, and no surprise, Airbyte topped the list. With over 1000 people voting, Airbyte received 43% of the vote, beating the likes of Fivetran by 20%.

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It is Airbyte’s continuous excellence that has won people’s trust and should be your go-to tool if you are performing data ingestion or data replication.

Conclusion

In today's dynamic world of data-driven practices, staying ahead of industry trends demands a multifaceted strategy. Integrating theoretical learning, instructor-led methods and online courses provides valuable insights, while staying informed through data influencers is crucial for gaining practical exposure and enriching our knowledge base.

We have curated some of the best data influencers you can follow on social media. Their expertise will amplify your understanding of data-driven practices, empowering your company to adapt, innovate, and remain competitive within a rapidly evolving landscape. Ultimately, engaging with these influencers enriches your business acumen, inspires fresh perspectives, and facilitates network opportunities, paving the way for positioning your business at the forefront of data-driven excellence.

FAQs

Q: Who is a data influencer?

Ans: Data Influencers are data experts who frequently post on social media about data-related topics.

Q: Who should I follow on LinkedIn for data analytics?

Ans: Andrew Ng and Kirk Borne are two of the most prestigious data analysts you can follow on LinkedIn.

Q: Who are the influential people in data analytics?

Ans: Andrew Ng and Kirk Borne are some of the most influential people in data analytics.

Q: How do I become a data science influencer?

Ans: You can be a data science influencer if you have sufficient knowledge in the field and are willing to share your opinion on social media consistently.

Who is the most famous data scientist?

Top 10 Data Scientists in the World.

Kyle McKiou. ... .

Geoffrey Hinton. ... .

Kate Starchnyi. ... .

Jeff Hammerbacher. ... .

Dean Abbott. ... .

Andriy Burkov. ... .

Andreas Kretz. What is the similarity between plumbing and data science? ... .

Kirill Eremenko. He is the founder and CEO of SuperDataScience, an online educational portal for data scientists..

Which is the highest position in data science?

Some of the highest paying data science jobs include Data Scientist, Machine Learning Scientist, Machine Learning Engineer, and Database Manager. These roles offer salary ranges between INR 8,31,100 to INR 14,95,098 per year.nullInsights on the Highest paying data science jobs in India 2023 - TimesProtimespro.com › blog › what-are-the-highest-paying-data-science-jobs-in-in...null

Who to follow on LinkedIn data science?

To guide people in learning data science, I recommend following a diverse group of experts: Academics like Andrew Ng and Yann LeCun for foundational knowledge. Industry leaders such as Hilary Mason and DJ Patil for practical applications. Influencers in specialized fields, like Hadley Wickham in R programming.nullYou want to learn data science. Who are the experts you should follow?www.linkedin.com › advice › you-want-learn-data-science-who-experts-sh...null

What are the top 3 most important qualities to possess to succeed as a data scientist?

Statistics & Mathematics..

Computer Science Knowledge..

Business understanding..

Analytical abilities..

Communication skills..