Life & fun · alternatives · 2026

24 alternatives to Data Science Guide For 2022

Get answers about data science questions for your business.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Data Science Guide For 2022 launched in 2022; newer entries below may have overtaken it.

1IW
I wrote a book about using data science to solve “everyday” problems▲632
2021 · andrewnc.github.io · its alternatives →
2
From Data-Driven to Data Everywhere▲107
How to drive growth with user-facing analytics
2021 · its alternatives →
3
State of Product Analytics Report▲184
How product teams use data to drive product-led growth
2020 · its alternatives →
4
The Data Science Handbook▲79
Advice and insights from 25 amazing data scientists
2017 · its alternatives →
5
The Art of Data Science▲85
A guide for anyone who works with data
2017 · its alternatives →
6
The Guide to Product Analytics▲247
A book of questions and answers from 25+ product experts
2020 · its alternatives →
7
Designing UX for SaaS▲248
Free ebook to level up the User Experience of your SaaS
2021 · its alternatives →
8
Getting Your First Data Science Job▲89
Free 70-page book on data science careers with expert advice
2016 · its alternatives →
9
Data Science for Business▲2
What You Need to Know about Data Mining
2017 · its alternatives →
10
Data Interview Q's▲77
Get better at data science interviews
2018 · its alternatives →
11
InsightHack▲114
Free & searchable databases - companies, trends, funding
2022 · its alternatives →
12
Mastering Retention - Product Analytics Playbook Vol.1▲191
155-page ebook on using data to improve user retention
2017 · its alternatives →
13
The Data Driven Daily▲189
Daily ideas for using data to make better business decisions
2016 · its alternatives →
14
The Analytics Setup Guidebook▲136
Build scalable analytics & BI stacks in modern cloud era 📚
2020 · its alternatives →
15
Data Engineering Book – An open source, community-driven guide▲251
Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
Feb 2026 · github.com · its alternatives →
16
Future of Product Management Report 2022▲176
Insights from 5,000 Product Managers
2022 · its alternatives →
17
The Science Based Playbook of Pricing▲185
Boost your profits using the latest scientific discoveries
2022 · its alternatives →
18
The Data-Driven Product Manager▲188
8 tips to help smart PMs make data work for them
2020 · its alternatives →
19
🥷 Product Analysis - Knowledge Base▲145
Maximize your project success with data-driven decision
2023 · its alternatives →
20
Know Your Data▲121
Understand datasets & improve data quality, by Google PAIR
2021 · its alternatives →
21
Fortune Cookie▲143
Ask simple questions, get instant insights from your data
2024 · randomwalk.ai · its alternatives →
22
Winning with Data▲107
Practical handbook on how to leverage data in your company
2016 · its alternatives →
23
Data Science Ebook▲1
Data science e-books
2023 · its alternatives →
24
First Party Data EBook & Data Audit▲87
How to use first-party data to grow your audience & sales
2022 · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →