Data Analyst Career Path: Options, Roles, Skills, and Requirements

Data analyst career path

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, […]

AoF 64: The Role of Exec & Expectation Mngt in Data Science w/ Heather Smith

Copy of Search Canva

Analytics On Fire Podcast Co-hosted by Lillian Pierson Analytics on Fire is your backstage pass inside the enterprise analytics and business intelligence world. Join your hosts – Lillian Pierson, PE (data leader, data strategy advisor & trainer, and CEO of Data-Mania) and Mico Yuk (BI author, speaker, and co-founder of BI Brainz) – as they pull […]

Building a Data Science Portfolio: A Newcomer’s Guide

building a data science portfolio in

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

Customer profiling and segmentation is an important data science skill.

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 […]

AoF 58: Is it time to Check your Emotional Intelligence? w/ Jay Levin​

Analytics On fire podcast Analytics on Fire is your backstage pass inside the enterprise analytics and business intelligence world. Join your hosts – Lillian Pierson, PE (data leader, data strategy advisor & trainer, and CEO of Data-Mania) and Mico Yuk (BI author, speaker, and co-founder of BI Brainz) – as they pull back the curtain on […]

Is Data Science for Me? Taking a Second Look at the Sexiest Job of the 21st Century

Is Data Science For Me? Let's revisit the so-called "sexiest" job of the 21st century...

It’s been nearly eight years since the Harvard Business Review first declared that data scientist was the sexiest job of the 21st century. Perhaps despite this fancy label, you’re still asking yourself the question, “is data science for me?”.  Just the other day, I was doing a little research, trying to figure out what sort […]

AoF 56: 3 Clever Ways to use Storytelling in Data Science w/ Kirk Borne

Analytics On fire podcast Analytics on Fire is your backstage pass inside the enterprise analytics and business intelligence world. Join your hosts – Lillian Pierson, PE (data leader, data strategy advisor & trainer, and CEO of Data-Mania) and Mico Yuk (BI author, speaker, and co-founder of BI Brainz) – as they pull back the curtain on […]

The Self-Taught Data Scientist Curriculum (Updated)

what it means to be a self taught data scientist in 2020

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 […]

How To Build A Recommendation Engine in R | A Marketing Data Science Demo

How To Build A Recommendation Engine in R

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 […]

How to Get a Job Fast + Make a Career Change in This Online Age

suffering from unemployment due to covid - here's how to get a job fast

Wanna know how to get a job fast in the online era?! In this quick read I’ll show you exactly what you need to do – pandemic or not – to find and land a job quickly through LinkedIn. ========================= SPOILER ALERT ========================= Read through this article and you’ll not only learn how to LAND […]

Climb The Data Science Career Ladder Faster With This Rare Skill

In today’s post you’re going to see a rare data skill that will place you yards ahead in your quest to climb the data science career ladder. In all honesty, this skill is relevant to data workers of all types, but since data scientists are everywhere these days – we’ll relate it all back you. […]

[Podcast] Build a Solid Enterprise Wide Data Strategy w/ Lillian Pierson

Today’s guest is the talented and intelligent Lillian Pierson. Lillian, founder of Data Mania and a Data Science, Instagram rock star with 600K+ followers across social media. Currently, she is the data science instructor for multiple courses on LinkedIn Learning, as well as an author, entrepreneur, coach and social media genius. In this new BI […]

[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 […]

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