Manisha Arora

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Unlock your potential with our self-assessment tool! Answer a few questions to uncover your strengths, pinpoint areas for improvement, and benchmark yourself against peers. Receive personalized resources to help you up-level yourself as a data scientist.

Assess Your Data Science Skills

Data scientists who apply statistical and ML techniques to extract insights from data.

Using data and metrics to measure performance, run experiments, and inform decisions.

Master advanced A/B testing to drive data-informed product decisions and measurable growth.

Data Science Lead, Google

Data Science Lead, Google | UT Austin & UCinn

Data Science Manager, Walmart

Banani Mohapatra

Senior Manager, AI/ML & Data Science at Walmart | Generative AI,LLM | IIT Delhi

 Advanced AB Testing for Data Scientists

Senior Business analyst 

Associate Data Scientist

Senior data analyst

Sr Data Scientist

Product managers who drive strategy, development, and launch of products.

Learn to design A/B tests that drive real product decisions - from metrics and hypotheses to business impact.

AB Testing for Data Scientists & Product Managers

Data Analyst

Product Manager

Data Scientist

Web Analytics and Experimentation Analyst 

This weekend workshop is a hands-on introduction to A/B Testing for data scientists and product managers. To drive real impact, you need to connect experiment results to business decisions, partner effectively with product teams, and communicate insights that shape roadmaps. This workshop helps mid-senior data professionals strengthen those skills, sharpen product thinking, and elevate how they approach experimentation.Across fast-paced case studies, group discussions, and live walkthroughs, you’ll learn to:<ol><li>Frame hypotheses that lead to clear decisions</li><li>Pick metrics that reflect real business trade-offs</li><li>Interpret results beyond statistical significance</li><li>Communicate insights to PMs, leaders, and cross-functional teams</li></ol>By the end, you won’t just run A/B tests — you’ll make better product decisions with them. We’ll close with what separates good data scientists from great ones and how to keep growing your skills.

Learn to Design and Analyze A/B Tests that Influence Product Strategy.

Master high-signal A/B test design

Build confidence in interpreting experimental results.

Apply industry case studies to real product challenges

Communicate experiment outcomes through clear decision briefs

Use a reusable A/B testing framework to evaluate and improve experiments

Level up experimentation judgment to operate like a senior data scientist.

No advanced math or statistics required. Just curiosity, a willingness to learn, and an interest in how product decisions are made.

Basic Comfort with Data and Curiosity

Data scientists who want to build A/B Testing skills to share business outcomes and get interview-ready.

Growth analysts looking to design high-impact experiments and optimize key funnel metrics.

Product Managers who work closely with data teams and want to better frame, interpret and act on experiment results.

This weekend-intensive workshop is built for data scientists who want to go beyond just “running experiments” — and start shaping product strategy through evidence-based decision-making. Over two immersive days, you’ll gain hands-on experience in designing robust experiments, analyzing results with rigor, and translating findings into measurable business impact. Through live lectures, breakout discussions, and case-based exercises, you’ll learn not just how to run experiments, but why each design choice matters — from hypothesis framing to metric selection and trade-offs. This program is fast-paced and practical, tailored for mid-level professionals who want to level up their experimentation craft and drive product outcomes with clarity and confidence.

Learn to Design, Analyze, and Scale A/B Tests that Drive Growth

Design Rigorous Experiments

Detect and Handle Complex Pitfalls

Statistical Methods for Design & Analysis

Advanced Experimental Methods

Translate Experiment Results into Actionable Decisions

You should be familiar with the basics of experiment design. Check out AB Testing 101 course here

Basic Understanding of AB Testing

Data &amp; Applied Scientists who are looking to design stronger experiments and influence product decisions.

Data Analysts who want to level up from dashboards to designing and interpreting high-impact experiments.

CRO Experts who are optimization professionals seeking deeper statistical rigor and better test design.

Gain hands-on experience and build a portfolio of industry AI/ML projects. Scope & execute the workflow from data exploration to deployment.

Data Science Lead, Google | UT Austin & Univ of Cincinnati

Director of Data Science, Microsoft

Siddarth Ranganathan

Director of Data Science, Microsoft | Founder, PrepVector | USC Marshall

If you want to succeed as a Data Scientist in tech, proficiency in AI / ML concepts is just the beginning. To truly thrive, you must implement end-to-end projects, integrate business acumen, and effectively collaborate with stakeholders. This advanced course is designed to equip mid-senior career professionals to drive impact while building a portfolio of applied AI &amp; ML projects. This course offers a dynamic blend of technical expertise and real-world business challenges. Through a series of interactive sessions, discussions, and hands-on projects, you will learn how to: 1) Scope machine learning projects effectively2) Lead discussions with stakeholders to align on project objectives and get buy-in3) Navigate the entire data science workflow from data exploration to model deployment4) Communicate project insights and business impact to stakeholders

Become a Data Science Expert by Implementing End-to-End AI/ML Projects

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Data scientists who want to build a compelling portfolio of industry projects to showcase their skills to potential employers.

Software and data engineers eager to gain expertise in applications of machine learning methodologies to enhance their technical repertoire.

Data and BI analysts seeking to acquire hands-on experience in leveraging data-driven insights to solve industry challenges.

Learn directly from Manisha Arora

Manisha Arora

Courses

AB Testing for Data Scientists & Product Managers

Advanced AB Testing for Data Scientists

AI-ML Projects for Data Professionals

Lightning Lessons

How Big Tech Actually Evaluates DS Candidates

Experimentation in the age of AI

Cracking A/B Testing Interviews

Crack Your Data Science Interviews

Decoding Data Science Roles

Cracking A/B Testing Interviews

Resources

Assess Your Data Science Skills