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Data Strategy
Data Strategy Action Plan
($37)
This is our crowd-favorite data strategy product. No long video trainings, no books to read, no needless theory. Just clear, concise guidance on what your next data strategy steps should be, starting today.
It’s a step-by-step checklist & collaborative Trello Board planner for data professionals who want to get unstuck & up-leveled into their next promotion by delivering a fail-proof data strategy plan for their data projects.
There are also 2 bonus guides, if you need help improving communications with your senior executives and stakeholders
And, it comes with a bonus, members-only community, if you’d like a private sounding board for getting valuable input from other data strategists.
Data Use Case Evaluation Workbox
($197)
The Data Use Case Evaluation Workbox is a one-stop-shop for companies who quickly want to decide which data use case to invest in.
You get our proprietary data use case selection tool, as well as detailed information on 21 winning data use cases, complete with a corresponding case study and tech spec for each of the 21 data use cases. These collections span 13 industries and represent all 5 routes to using data to drive your business success. If you’ve ever felt paralyzed by the sheer number of options out there, this is the tool you need!
Data Strategy Starter Kit
($97)
If you’re in charge of your company's data strategy, you know that - if you're going to be successful - you need to take the time to do the research and plan out your strategy. The Data Strategy Starter Kit is a bundle of digital assets that include templates, checklists, and strategic assets that will dramatically decrease the time it’ll take you to build a data strategy plan that actually boosts profits for your company.
It's time for a data strategy that actually delivers on its promise. This kit is a transformative digital asset bundle from our team of experts. It'll help you stop spinning your wheels and start boosting profits for your company in record time. You know the old adage: time is money? This bundle will save you days - even weeks - of valuable work. You'll have the data strategy plan you need to make your boss happy, get promoted, and make more money for your company in the process.
Data Entrepreneurs
Data Entrepreneur Toolkit
($0) FREEBIE!
There’s always that data professional who starts an online business and hits 6-figures in less than a year. Now? It’s your turn and we’re ready to help get you there with our Data Entrepreneur’s Toolkit (designed to help you get results for your data business fast).
These are our favorite 32 tools & processes (that we use), which include:
Data Careers
A Badass’s Guide to Breaking into Data
($0) FREEBIE!
This book is for people who want to develop or advance their careers in the data space. It’s also for people who’d like to become independent consultants or entrepreneurs within the data niche.
A Badass’s Guide to Breaking into Data tells the story of how a young environmental engineer retooled her skill set to become a data scientist, and later turned her passion for data into a thriving business. Paramount to this storyline, the ebook provides 52 pages of free advice about how to break into the data professions by either getting a data job or starting your own small consultancy. This book is free to download and share, but please implement its suggestions responsibly.
Data Superhero’s Quiz
($0) FREEBIE!
Most of the time, custom advice is all you need to achieve both your dream salary AND the satisfaction that you crave from your data career. In our free, fun, 45-second data career path quiz, you’ll uncover your inner Data Superhero type and get personalized data career recommendations that directly align with your unique combination of data skills, personality and passions.
Insights on Data Science
[LinkedIn Learning Course]
Lillian began her career not as a data scientist, but as an environmental engineer. Here, she shares her story, discussing how she taught herself to code in Python and R, and work with data science methodologies. As a result of her own experiences, Lillian is passionate about helping those interested in data science—but who may lack a four-year degree in the discipline—get started in the field. She shares practical ways to acquire the skills and experience needed to become a data scientist, and best practices for landing a job. Lillian also dives into grappling with the challenges that occur in rapidly evolving tech workforces. Plus, she discusses the industry itself, covering recent changes in the field and areas of need, and clearing up a few common misconceptions.
Data Science
Building A Recommendation System With Python
[LinkedIn Learning Course]
Discover how to use Python—and some essential machine learning concepts—to build programs that can make recommendations. In this hands-on course, Lillian Pierson, P.E. covers the different types of recommendation systems out there, and shows how to build each one. She helps you learn the concepts behind how recommendation systems work by taking you through a series of examples and exercises. Once you're familiar with the underlying concepts, Lillian explains how to apply statistical and machine learning methods to construct your own recommenders. She demonstrates how to build a popularity-based recommender using the Pandas library, how to recommend similar items based on correlation, and how to deploy various machine learning algorithms to make recommendations. At the end of the course, she shows how to evaluate which recommender performed the best.
Data Science For Dummies – 3rd Ed.
($24)
Data Science For Dummies demonstrates:
Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.
Python for Data Science Essential Training – Part 1
[LinkedIn Learning Course]
Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts—for even more hands-on experience with Python. In this course, instructor Lillian Pierson takes you step by step through a practical data science project: a web scraper that downloads and analyzes data from the web. Along the way, she introduces techniques to clean, reformat, transform, and describe raw data; generate visualizations; remove outliers; perform simple data analysis; and generate interactive graphs using the Plotly library. You should walk away from this training with basic coding experience that you can take to your organization and quickly apply to your own custom data science projects.
Python for Data Science Essential Training – Part 2
[LinkedIn Learning Course]
In this course, instructor Lillian Pierson takes you step by step through a practical data science project: building machine learning models that can generate predictions and recommendations and automate routine tasks. Along the way, she shows how to perform linear and logistic regression, use K-means and hierarchal clustering, identify relationships between variables, and use other machine learning tools such as neural networks and Bayesian models. You should walk away from this training with hands-on coding experience that you can quickly apply to your own data science projects.
Freebies
Marketing Optimization Toolkit
($0) FREEBIE!
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Data Entrepreneur Toolkit
($0) FREEBIE!
There’s always that data professional who starts an online business and hits 6-figures in less than a year. Now? It’s your turn and we’re ready to help get you there with our Data Entrepreneur’s Toolkit (designed to help you get results for your data business fast).
These are our favorite 32 tools & processes (that we use), which include:
A Badass’s Guide to Breaking into Data
($0) FREEBIE!
This book is for people who want to develop or advance their careers in the data space. It’s also for people who’d like to become independent consultants or entrepreneurs within the data niche.
A Badass’s Guide to Breaking into Data tells the story of how a young environmental engineer retooled her skill set to become a data scientist, and later turned her passion for data into a thriving business. Paramount to this storyline, the ebook provides 52 pages of free advice about how to break into the data professions by either getting a data job or starting your own small consultancy. This book is free to download and share, but please implement its suggestions responsibly.
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© COPYRIGHT DATA-MANIA, LLC | 2012 - 2021+. • All Rights Reserved • Houston, TX
© COPYRIGHT DATA-MANIA, LLC | 2012 - 2021+. • All Rights Reserved • Houston, TX
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