Storing Data in the Public Cloud: What You Should Know
Do you know what a public cloud is, and how it can help your business’s storage needs? Read this article about storing data in the public cloud, what you should know about cloud storage, and the best practices to use it better. Public Cloud: A Definition A public cloud is a platform that relies on […]
Seven Industry Trends in Data-Driven Software Development
Data-Driven Software Development in 2020 was one-of-a-kind with lots of digital enhancements and movements in the uncertain world of COVID-19. Though it has affected every one of us in many ways, digital technology adoption has taken a quantum leap-not only on the medical front but unceasing innovation in the software development industry as well. With […]
NEW & Improved: Data Science for Dummies Book, Edition 3 Giveaway!!!
Say hello to the brand new Data Science for Dummies Edition 3!! GIVEAWAY TIME!! We’re pulling out ALL THE STOPS helping aspiring and expert data professionals alike – to get them strategizing and monetizing with data science at record speed! And to celebrate the Sept 15 release of this epic new title, we’re giving away […]
Data Science Career Path: What You Need to Succeed
In today’s digital world, organizations continuously look for ways to turn their data into insights that improve business performance and revenue. To achieve this goal, organizations hire data scientists, who use their knowledge in business, math, statistics, and computer science to leverage big data. They typically need to build statistical models, train algorithms, and present […]
Data Analyst vs Data Scientist: Which Career Path Should You Take?
If you’re new to the data field, and just looking to get started in your data career, you’re probably wondering Data Analyst vs Data Scientist, What’s even the difference? Well we’re here to help you protect your precious time – time that otherwise may be wasted time barking up the wrong tree. Although the roles […]
Data Analyst Career Path: Options, Roles, Skills, and Requirements
What is a Data Analyst? Data analysts take data and turn it into insights that help organizations make precise and accurate business decisions. Data analysis techniques vary, depending on disciplines, but often include using skills such as programming, statistics, and mathematics. Once analysts turn raw data into conclusions, they present insights in simple, usually visualized ways, […]
Building a Data Science Portfolio: A Newcomer’s Guide
The point of building a data science portfolio is to demonstrate your skills to prospective employers. As someone with six years of experience hiring data professionals for my own consultancy firm, and who’s worked with 10% of Fortune 100 companies on data projects, I know a thing or two about what businesses are looking for […]
Customer Profiling and Segmentation in Python | A Conceptual Overview and Demonstration
If you’re a data professional interested in marketing, mastering customer segmentation and profiling should be at the top of your priority list. Not every product or service that your company makes will be right for every customer, nor will every customer be equally responsive to each of your company’s marketing campaigns. In the age of […]
The Self-Taught Data Scientist Curriculum (Updated)
Welcome to the 2020 update of the Self-Taught Data Scientist Curriculum! Smart, scrappy, and resourceful data professionals are more in-demand than ever. That’s as true now, as it was 3 years ago when I first published this article. What’s changed, however? Plenty! First, the industry is flooded with talent from fresh grads and more mature […]
Top Online Communities for Data Science and Other Data Professionals Who Aspire To Become Data Leaders
The world is an incredibly interconnected place these days – more so than ever before. But somehow if you go looking for the top online communities for data science and other data professionals who aspire to become data leaders – all you get is a bunch of people troubleshooting their broken code. Surprisingly, and despite […]
How To Build A Recommendation Engine in R | A Marketing Data Science Demo
1 billion dollars per year. That’s how much Netflix’s Chief Product Officer Neil Hunt estimates the company saves per year thanks to their global recommendation system. No wonder you’ve found yourself searching for how to build a recommendation engine in R! They’re valuable commodities! From tech giants like Netflix to Amazon to YouTube, enterprises all […]
Data Science Process Lifecycle: 8 Steps To Improving Yours By Developing A Business-Centric Data Use Case Framework
If you follow my blog, trainings, books or data strategy products, there’s a good chance you’re a data professional, a data leader, or at the very least need to harness and utilize data for your business. And if you’re following along ardently, you’re probably excited to know that today’s blog post is actually a super-valuable, […]
10+ Data Science Podcasts That Reveal Ways To Win With Data… Even if You Aren’t A Data Scientist Yourself!
Not listening to data science podcasts? You should be. Here I’ve rounded up the ten best data science podcasts that will take you to greater heights on your journey to a more effective data program. Here’s a cold hard truth about your company’s data program: It’s probably going to fail. I’m not going out of […]
[COURSE] by Lillian Pierson, Building Recommendation Engines in Python
[NEW COURSE] Python for Data Science Essential Training Part 2 for @LinkedIn Learning by Lillian Pierson, PE
[NEW COURSE] Python for Data Science Essential Training Part 1 for LinkedIn Learning by Lillian Pierson, PE
[Webinar] Making AI Routine, Repeatable and Reliable w/ Lillian Pierson for GigaOm + Cloudera
While interest in Machine Learning/Artificial Intelligence/ (ML/AI) has never been higher, the number of companies deploying it is only a subset, and successful implementations a smaller proportion still. The problem isn’t the technology; that part is working great. But the mere presence and provision of tools, algorithms, and frameworks aren’t enough. What’s missing is the […]
[Interview Course] Insights on #DataScience for LinkedIn by Lillian Pierson
Data science is a rapidly expanding field offering a wealth of possibilities for viewing the world around us through a more accurate lens. But for many of those whose imagination is sparked by big data—but who have already started pursuing a career in another field—the dream of becoming a data scientist can feel far-fetched. Lillian […]
[Live Panel] Women in Tech #STEM @EricssonDigital Services hosted by Lillian Pierson
Listen to our exclusive panel led by staunch advocate for Women in Tech, Data Scientist, Lillian Pierson (twitter: @BigDataGal, Linked In: Lillian Pierson) when she asks Women Leaders in Technology in Ericsson, what advise they would give their younger selves and what passions drove them into this career. In the panel we have (Right to […]
[Keynote] A Guide To Breaking Into Data by Lillian Pierson for Metis / Kaplan
Watch Lillian Pierson’s talk, “A Badass’s Guide to Breaking into Data” from the free, live online Demystifying Data Science conference hosted by Metis July 24-25, 2018.
[Panel Discussion] SiliconAngle #GDPR at IBM Fast Track Your Data
Lillian Pierson, PE discusses GDPR with SiliconAngle at IBM Fast Track Your Data 2017 in Munich, Germany.
