361: How To Succeed As An Analytics Consultant

John David Ariansen joins me for an episode on the best practices for getting into data science consulting, the importance of understanding data science and analytics, and how you can network, even during a pandemic. In this episode you will learn: Coronavirus and how it will affect the way we work [3:06] John David’s consulting work [8:19] Why did John get into consulting? [13:17] Does John David’s age affect his clients? [25:03] John David’s podcast [34:59] The difference between data science and analytics [40:26] Creating space for opportunities [49:54] 3 top tips for getting a job in data science [54:28] Additional materials: www.superdatascience.com/361

Om Podcasten

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.