4.78 average with 2 million paying customers, readers & learners

Data-mania reviews: hear it from your peers

Over 2 million people have used our services and digital products. Read their reviews to learn how marketing excellence changed their world.

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The subject is explained well with examples, implementation code, and at a pace that we can follow.

Rajeshwaran Ramaswamy, Director

The results and outcomes are incredible. She managed to provide a fundamental knowledge. Her presentation was well-balanced professionally but very friendly. I got great feedback from the audience. Many people would like to listen to her again. And I will definitely invite her again.

Pairach Piboonrungroj, Director MICE Excellence Centre, Chiang Mai University

I highly recommend this course. Its content is very relevant and the explanations are very clear with a lot of practical examples that you can easily reproduce.

Tania Garcia, Retail risk Consultant

(This book) is the most comprehensive data book I’ve ever read. Leaving no stone unturned, this book provides an in-depth tour of all facets of working in data including big data, statistics, algorithms, business cases, and the different types of data workers. This book provides a thorough understanding of every area data touches. I learned many new things, and I highly recommend it to anyone who works with data or to anyone simply interested in having a broader understanding of the entire field.

Jordan

Thank you for doing everything you do. Your passion is infectious. Thank you for igniting that spark in me to really just go after what I WANT. You have helped me in more ways than you know.

Elizabeth Saju

Good course to start from scratch

José Pellitero Pérez, LNG Cargo Operations Manager

If you are a beginner and want to gain clarity, then take this course. Everything you need is here. I truly believe this course will really help you out.

Tosin Adekunle, Machine Learning Engineer

It is an easy book dealing with interesting issues.

Jaroslaw Krzywanski

Through Lillian’s service, we got incredible value from connecting with her audience in a truly authentic way. We got fantastic engagement around her posts and her social media outreach strategies. More specifically, her outreach delivered over 1 million views and 45,000 engagements in 3 months. We hope to bring her on again for next year’s campaign.

Kevin J. Allen, Manager @ IBM Developer Content Acquisition

I met Lillian and found her very knowledgeable, friendly and eager to share her experience and expertise. This was evident in her presentation style where she had a tremendous amount of content to impart within an accelerated time frame. I found her very approachable. I thank Lillian for sharing her knowledge with me.

Rod Teo, Senior Manager @ EY Analytics (Asia-Pacific)

I just enjoyed the book, and this course is equally great. Keep up the good work.

Fabio Batista dos Santos, Data Entry Specialist

Good training – Very useful.

Pramoda Thennakoon, Consultant – Data Engineer

Thank you so much for all your help with the sales page review. Your advice was very valuable and I plan on changing my other sales pages to follow the changes you recommended!

Hana Khan, Host & Founder @Disruptive Data Leadership

Great course. I thought it provided a good overview for starting.

Jacob Cox, Ph.D., Solutions Architect & Augusta Site Lead (AI, Cybersecurity, and EW)

I will recommend this course to every beginner in the field.

Darlington Y. Faddams, Data Science Lead Trainer

Lillian Pierson’s gift for turning incredibly complex and high-technical information into engaging, approachable, and highly-consumable content is paired with an innate understanding of trending or soon-to-be trending technology topics. These talents led my team to first follow Lillian and ultimately engage with her as one of the industry’s top luminaries in our Analytics Influencers Program. She covered several of our critical events and provided her valuable perspective and voice to our audience engagement.

Matt Carter, Global Program Director @ IBM

This book is awesome! It breaks down the info in the best way possible.

Anonymous

This book is clearly laid out and provides a great roadmap into how to succeed.

Data Diva

The methods I learned were helpful to me in leveling up my career.

Frank Lavinge, Global AI GTM Leader @ Red Hat

This course covers a lot! Thank you 🙂

Pierre Rubiano, HR Data Analyst, Engineer & Scientist / Agile Coach

I wanted a little refresher. I found this book very informative. There’s a little bit of everything, a lot of information packed in this little book! It doesn’t go into great detail, but gives a good, brief overview with technical jargon that will be sure to impress your co-workers

YogaKat

I used the original book in 2017 to develop an understanding of the field, and being featured in it (bottom of page 345) is like coming full circle again. I definitely recommend this book if you’re a business leader wanting to learn more about the methodologies data scientists use!

HRJ

I was looking for a book that could introduce me to the field, get me used to the language and dip my toes in the water without drinking a whole pitcher-full of the electric kool-aid. Enter Lillian Pierson, and (this book). To me, the “for dummies” series always means informative, understandable, amusing excellence, and Lillian Pierson’s addition to their line met and exceeded those expectations. As soon as I started hearing Lillian’s voice, and understood how accessible the information was, I really enjoyed reading it, and now feel much more comfortable around the vocabulary and ideas than before I encountered the book. I can’t speak to the practical applications of the book, since that isn’t my thing, nor was it what I was looking to take from it. (This book) earns a solid five stars from me.

Samantha Alvarez

Since March 2020, I closed 15 contracts valued at $310K. I also pre-sold $60K worth of annual contracts for my upcoming marketing optimization SaaS company. 67% has been pure profit. With the optimization of new custom tools, I estimate that by the end of Q4 2021 we should be able to achieve anywhere between a 75% – 80% profit margin.

Kam Lee, Founder @ Finetooth Analytics

Excellent overview and how-to guide. In all cases, as little jargon as possible is used and these complex topics are described in a way that an intelligent layman can at least understand their application, and those with some background could actually implement solutions using these tools. A clear and respectable introduction.

Ira Laefsky

Fantastic course.

Kyle McManaman, Workforce Management Specialist II

Great book! I made my staff read it as well and they also commented on the clarity and comprehensiveness of the book. Somehow it feels superior to any other “For Dummies” book I’ve ever read. Pro Tip: follow the author on Twitter. She’s super knowledgeable and tweets great stuff. Overall: I recommend this book to anyone.

David Darby

Lillian Pierson’s wonderful book has delivered me from DUMBNESS, and I thank her.

Bradley Broughman

It is my first time to leave a comment on LinkedIn Learning. I quickly got interested in Lillian’s background and motivation. As someone thinking about my own career path, your opening statement has inspired me a lot to be courageous to pursue a better career. I will also encourage people from other fields to get some lessons learnt from her story.

Chao-Min Huang, CIM/APC Engineer

Nice introduction.. Well organized, easy to understand, covers the basics. Not the definitive source for this topic, but a fine introduction for the novice.

JWH

ENTERPRISE-SCALE MARKETING EXPERTISE

FOCUSED ON EARLY-STAGE STARTUP GROWTH CHALLENGES

I built the demand gen systems that got me to 10% of Fortune 100 brands, 2M+ paid subscribers (Read our wall of ♥), $7+ MIL IN DIRECT REVENUE GENERATED, and 700K+ channel growth… Now I’m helping early-stage startups who need predictable pipeline without burning cash on paid ads.

$750k Revenue Generated
(First Year)

ENTERPRISE CONSULTING
CASE STUDY

1,100 Organic MQLs
at $50 CPL

SERIES F DATABASE CO.
CASE STUDY

200x User Growth
(in 90 Days)

VC-BACKED DATA SAAS
CASE STUDY