Lillian Pierson's Blog, page 10
May 9, 2022
Data Analyst Career Path – Options, Skills, Requirements and Salaries That’ll SKYROCKET YOUR CAREER
Do your data analyst career options seem unclear to you? So, you’ve got data analysis skills and you’re wondering what all you can do with them? Well, I’ve got great news for you! In this article, we’re going to cover 30 different incredible roles that you can land with a data analyst skill set and […]
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May 8, 2022
How long does it take to learn how to code?
How long does it take to learn how to code? Not long (at all). In this brief post, I’m going to pretend as if I was learning to code from the very beginning, and show you the easiest, fastest way to go about learning to code. Make sure to read to the end of this […]
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May 7, 2022
The Journey to Becoming a Successful Data Entrepreneur
In this episode, Cassidy speaks with Lillian Pierson, a world-class data leader, entrepreneur, and educator, and the CEO of Data Mania. They discuss different approaches data professionals can take to become data entrepreneurs and how data science has evolved over the years. Lillian has trained over 1 million data professionals through her YouTube videos, online […]
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A Revenue Driven Approach to Data Science with Lillian Pierson
Momma Bird, Priscilla McKinney, welcomes the CEO of Data-Mania, Lillian Pierson, to the perch to discuss how to take intangible ideas, put them into a rock-solid plan, and finally, into a product that sells. In addition, they speak on the dividing line between those who understand the “science” in data science and those who understand […]
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April 29, 2022
Women in AI Trailblazer: Meet Lillian Pierson
The Women in AI Trailblazers series is a partnership between Discovering Data and Women in AI (WAI). This initiative showcases global data leaders and invites less-represented people to lead the data conversation. It is a series of short interviews focused on the person behind the leader, and is designed to inspire more women to lead […]
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April 12, 2022
Data Science and Web 3 – Top Tips To Make The Transition
If you are a data professional that’s looking to break into web 3, then this blog is for you. That’s because you’re gonna get real-life actionable career advice about data science and web 3, and how to transition your data science career into a web 3 career. This advice is coming from the lips of […]
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April 2, 2022
Data Science In Marketing – How Much It’s Worth And Where To Get Trained
[UPDATED: April 2022] When you think of marketing teams, the usual suspects probably come to mind. Developers and designers, copywriters, marketing strategists, and social media managers. But the hottest new role marketing departments are looking to fill is one you’re maybe not quite as familiar with. I mean, how much do you really know about […]
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March 24, 2022
Marketing Mix Modeling Algorithms and Variables
For data professionals who are looking to work in marketing data science, knowing marketing mix modeling algorithms, variables and methods is non-negotiable. That’s why we are dedicating this blog to introducing the algorithms and variables you’ll want to use to implement the marketing mix modeling (MMM) approach. Now, if you aren’t quite sure what MMM […]
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March 20, 2022
Tech for Good: Helping Developing Countries Through Innovation
When we as data professionals engage with developing populations and help them access better technologies, we also benefit by gaining exposure to new strategies of application and implementation, develop problem-solving skills, generate positive press or media for our organizations, and learn from radically different perspectives and life experiences. In this blog post, you’re going to […]
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March 11, 2022
Marketing Mix Modeling Explained
In this quick introductory blog post, you’ll see what marketing mix modeling is. You’ll also learn how you can use it to increase the profitability of your company. I first learned about marketing mix modeling while gathering a client testimonial from Kam Lee. For the record, the “mixture” of Kam’s marketing data science expertise and […]
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