Data Science A-Z: Hands-On Exercises & ChatGPT Prize

DS colleagues, in the “Data Science A-Z: Hands-On Exercises & ChatGPT Prize” program you will learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization plus How to perform all steps in a complex Data Science project, create Basic Tableau Visualisations, perform Data Mining in Tableau, understand how to apply the Chi-Squared statistical test, apply Ordinary Least Squares method to Create Linear Regressions, assess R-Squared for all types of models, analyze the Adjusted R-Squared for all types of models, create a Simple Linear Regression (SLR), a Multiple Linear Regression (MLR) and much more. 28 sections • 217 lectures • 21h 13m total length. Skill-based training lessons include: 1) What is Data Science?, 2) Visualisation - Introduction to Tableau, How to use Tableau for Data Mining, Advanced Data Mining With Tableau, 3) Modeling - Stats Refresher, Simple Linear Regression, Multiple Linear Regression, 4) Logistic Regression, 5) Building a robust geodemographic segmentation model, 6) Assessing your model, Drawing insights from your model, Model maintenance, 7) Data Preparation - Business Intelligence (BI) Tools, ETL Phase 1: Data Wrangling before the Load, ETL Phase 2: Step-by-step guide to uploading data using SSIS, Handling errors during ETL (Phases 1 & 2), SQL Programming for Data Science, ETL Phase 3: Data Wrangling after the load, Handling errors during ETL (Phase 3), and 8) Communication - Working with people, Presenting for Data Scientists, and Homework Solutions. 

Enroll today (teams & executives are welcome): https://tinyurl.com/4eavzjh2 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team) https://tinyurl.com/hh7bf4m9