Using AI with Business Analytics and Tableau

*THIS IS A PRIVATE ONLY COURSE - CONTACT FOR PRICING* This four-Part intensive course combines the power of Artificial Intelligence (AI), business analytics, and Tableau to provide professionals with practical skills and strategies for leveraging AI in data-driven decision-making. Through a combination of hands-on exercises, real-world case studies, and theoretical grounding, participants will gain a solid understanding of AI applications in business analytics and how to integrate these insights into visualizations using Tableau. By the end of the course, participants will be equipped to harness AI techniques for predictive and prescriptive analytics, automate data workflows, and create compelling, actionable dashboards in Tableau.

Retail Price: $0.00

Next Date: Request Date

Course Days: 4


Request a Date

Request Custom Course


Course Objectives: 

  1. Understand AI in Business Analytics: Develop a solid foundation in AI concepts and techniques, specifically as they apply to business analytics, including machine learning, predictive modeling, and natural language processing. 
  1. Integrate AI with Tableau: Learn methods for using AI-driven insights within Tableau dashboards to support real-time data-driven decisions. 
  1. Master Business Analytics and Data Visualization Techniques: Use Tableau effectively to analyze and visualize AI-driven data insights for clear and impactful business presentations. 
  1. Apply AI and Analytics in Real-World Scenarios: Gain hands-on experience with industry-relevant case studies and projects to implement AI and analytics strategies in business contexts. 

 

Who Should Attend? 

This course is designed for business analysts, data scientists, managers, and professionals who want to enhance their skills in data analytics and visualization using AI-powered insights and Tableau. Familiarity with basic data analysis and visualization concepts is recommended. 

 

Prerequisites: 

  • Basic understanding of data analytics and visualization concepts. 
  • Familiarity with Excel and Tableau is beneficial but not required. 

Part 1: Foundations of AI in Business Analytics 

  • Module 1: Introduction to AI in Business Context 
  • Overview of AI and Machine Learning: Understanding core concepts, algorithms, and applications. 
  • AI in Business Analytics: How AI can optimize decision-making and automate processes. 
  • Data Types and Sources: Identifying and preparing structured and unstructured data. 
  • Exploratory Data Analysis (EDA): Techniques for understanding data characteristics, patterns, and outliers. 
  • Module 2: Data Processing and Preparation for AI 
  • Data Cleaning and Transformation: Essential steps for preparing data for AI models. 
  • Feature Engineering and Selection: Identifying critical variables for modeling. 
  • Introduction to Python for Data Preparation: Basic scripting for preprocessing data. 
  • Hands-On Exercise: Prepare a dataset for an AI model, focusing on data cleaning and feature selection. 

 

Part 2: Machine Learning for Business Analytics 

  • Module 1: Predictive Modeling with Machine Learning 
  • Types of Machine Learning: Supervised, unsupervised, and reinforcement learning. 
  • Predictive Models in Business: Linear regression, decision trees, and neural networks. 
  • Evaluating Model Performance: Key metrics like accuracy, precision, and recall. 
  • Hands-On Exercise: Build and evaluate a predictive model for sales forecasting or customer churn analysis. 
  • Module 2: Advanced Analytics - Clustering and Natural Language Processing 
  • Clustering Techniques: K-means, hierarchical clustering for customer segmentation. 
  • Introduction to NLP for Business Insights: Sentiment analysis, topic modeling. 
  • Use Cases of NLP in Business: Analyzing customer reviews, social media, and internal reports. 
  • Hands-On Exercise: Perform sentiment analysis on textual data and interpret findings for business insights. 

 

Part 3: Integrating AI with Tableau 

  • Module 1: Data Connection and Automation in Tableau 
  • Connecting AI-Generated Data to Tableau: Importing and managing model outputs. 
  • Automating Data Workflows: Using Tableau Prep for pre-processing and cleaning. 
  • Real-Time Data Updating: How to maintain up-to-date visualizations with live connections. 
  • Hands-On Exercise: Connect an AI-generated dataset to Tableau and create an automated data workflow. 
  • Module 2: Advanced Data Visualization with AI-Driven Insights 
  • Designing Visualizations for Predictive Analytics: Representing trends, anomalies, and predictions. 
  • Using AI Models in Dashboards: Displaying model outputs such as forecasts, clusters, and sentiment scores. 
  • Interactive Dashboards: Making data actionable with interactive filters and drill-down capabilities. 
  • Hands-On Exercise: Create a dashboard in Tableau that incorporates AI insights, such as forecasted sales or customer sentiment. 


Sorry! It looks like we haven’t updated our dates for the class you selected yet. There’s a quick way to find out. Contact us at 502.265.3057 or email info@training4it.com


Request a Date