DATA SCIENCE

Causal Inference Basics: Correlation vs Causation and When A/B Tests Aren’t Enough 2026?
ByDeepak Nagpal January 16, 2026January 16, 2026

Correlation vs Causation, but business wants causal answers: “Will this feature cause retention to improve?” Causal inference gives you tools beyond A/B tests for messy, observational data. Connect With Us: WhatsApp Correlation vs causation pitfalls Some classic examples: Ice cream sales increases Shark attacks (summer confounder) Gym membership increases Divorce rate (selection bias) Solutions needed: Experiments…

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DATA SCIENCE

LLM Ops: Monitoring, Evaluating, and Updating GenAI Systems in Production 2026?
ByDeepak Nagpal January 16, 2026January 16, 2026

LLMs go viral fast, but they also hallucinate, drift, and cost a lot of money. LLM Ops (also called GenAI Ops) applies Mops to language models, and it monitors quality, costs, and safety while enabling safety updates. Here’s the 2026 playbook. Connect With Us: WhatsApp Why LLM Ops is different from traditional Mops Traditional Machine…

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DATA SCIENCE

How Product Teams Use Data Science: From Funnel Analytics to Growth Loops 2026?
ByDeepak Nagpal January 15, 2026January 16, 2026

Data science in product isn’t about bleeding‑edge models, but it is about answering “Did the change moved our north star metric?” Product teams rely on funnel analysis, experimentation, and cohort insights to ship faster and retain better. Here’s the playbook. Connect With Us: WhatsApp Funnels: Where users actually drop Every product has a conversion funnel: Awareness…

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DATA SCIENCE

Best A/B Testing and Experimentation for Data Driven Products 2026?
ByDeepak Nagpal January 7, 2026January 7, 2026

Decisions with data, not just with their gut feeling or opinions. It is a controlled way of answering the question A/B Testing “Did the change really improve the situation?” with numbers. What is an A/B test? Basically, an A/B test is a randomized controlled experiment: You divide users (or sessions) into at least two groups: Control…

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