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Programmes AI & Innovation Foundations of Data and Models: Regression Analytics

AI & Innovation

Foundations of Data and Models: Regression Analytics

Foundations of Data and Models: Regression Analytics is a 5-day intensive course designed to equip participants with the fundamental skills and knowledge necessary to analyze data and build predictive models using regression techniques.

Starts
To be confirmed
Duration
5-day intensive course
Format
Programme · In person · London
Fee
On enquiry

Highlights

  • For: Data analysts; Data scientists; Business analysts; Statisticians; Anyone interested in data-driven decision-making

What you’ll learn

  • Statistical Foundations: Develop a rigorous understanding of probability distributions, hypothesis testing parameters, and confidence interval estimation
  • Exploratory Data Analysis (EDA): Master advanced data profiling and programmatic visualization workflows utilizing industry-standard libraries in Python and R
  • Continuous Outcome Forecasting: Architect, train, and diagnose simple and multiple linear regression models to predict continuous business metrics
  • Categorical Classification: Apply logistic regression frameworks to solve binary and multi-class classification challenges, such as churn risk and fraud detection
  • Model Validation Rigor: Evaluate predictive model performance using objective mathematical criteria, including ROC-AUC, confusion matrices, and cross-validation techniques
  • Strategic Translation: Interpret statistical parameters and communicate data limitations and model implications clearly to non-technical stakeholders

Who this is for

Not for you if you are looking for online, self-paced study — this programme is delivered in person · london, and online delivery is a future phase.

Curriculum

5 days · day-by-day outline · all sessions live

  1. Basic Statistical Concepts: o Descriptive statistics (mean, median, mode, standard deviation) o Probability distributions (normal, binomial, Poisson) o Hypothesis 1 testing ‫1.
  2. www.numerade.com ‬ www.numerade.com Data Exploration and Visualization: o Data cleaning and preprocessing o Exploratory data analysis (EDA) o Data visualization techniques (histograms, box plots, scatter plots

Questions

What does it cost? Fees

No fee is published for this programme yet, so the honest answer is: fee on enquiry. We will confirm the fee in writing before anything is booked — no price is invented on this page.

Can my team take this programme? Teams

Yes — team enquiries use the same form with your organisation and group size, and this programme stays attached. How team training works.

Is any of this online? Delivery

Not today. This programme is delivered in person · london; online learning is a future phase and this page will say so plainly when it exists.

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Start with Foundations of Data and Models: Regression Analytics

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