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AI for Tech

Statistical Data Analysis

Learn how to analyze data rigorously using statistical methods to move beyond descriptive reporting and confidently validate business decisions with probability, inference, and hypothesis testing.
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Build a solid statistical foundation to model uncertainty and extract statistical insights from real-world datasets using Python.
Duration
15 hours
Level
Beginner
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Who is this program for

Data analysts who want to move from descriptive metrics to inferential analysis.
Marketing or business analysts validating experiments and campaign performance.
Professionals working with data who need to quantify risk and uncertainty.
Teams making decisions based on experiments, forecasts, or performance comparisons.
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Recommended prerequisites

You have basic Python skills (variables, loops, functions).
You can work with dataframes in pandas (reading CSVs, filtering, sorting).
You are comfortable with basic arithmetic and algebra.
You have experience analyzing data in spreadsheets or SQL.

Modules overview

5 Modules
Module 1. Descriptive statistics
Module 2. Probability theory
Module 3. Testing hypotheses
Module 4. Final project
Module 5. Final assessment

Get in touch!

You’re just one email away from transforming your company! Our team will reach out to understand your strategic objectives and craft a tailored solution that meets your specific needs.
Fill in the form
Learn about our product
Get a personalized offer for your business needs
We’ll reach out to understand your goals and craft a solution that works for you