AI+ Data

Course Overview

Module One: Foundations of Data Science

• Introduction to Data Science
• Data Science Life Cycle
• Applications of Data Science

Module Two: Foundations of Statistics

• Basic Concepts of Statistics
• Probability Theory
• Statistical Inference

Module Three: Data Sources and Types

• Types of Data
• Data Sources
• Data Storage Technologies

Module Four: Programming Skills for Data Science

• Introduction to Python for Data Science
• Introduction to R for Data Science

Module Five: Data Wrangling and Preprocessing

• Data Imputation Techniques
• Handling Outliers and Data Transformation

Module Six: Exploratory Data Analysis (EDA)

• Introduction to EDA
• Data Visualization

Module Seven: Generative AI Tools for Deriving Insights

• Introduction to Generative AI Tools
• Applications of Generative AI

Module Eight: Machine Learning

• Introduction to Supervised Learning Algorithms
• Introduction to Unsupervised Learning
• Different Algorithms for Clustering
• Association Rule Learning with Implementation

Module Nine: Advance Machine Learning

• Ensemble Learning Techniques
• Dimensionality Reduction
• Advanced Optimization Techniques

Module Ten: Data-Driven Decision-Making

• Introduction to Data-Driven Decision Making
• Open Source Tools for Data-Driven Decision Making
• Deriving Data-Driven Insights from Sales Dataset

Module Eleven: Data Storytelling

• Understanding the Power of Data Storytelling
• Identifying Use Cases and Business Relevance
• Crafting Compelling Narratives
• Visualizing Data for Impact

Module Twelve: Capstone Project – Employee Attrition Prediction

• Project Introduction and Problem Statement
• Data Collection and Preparation
• Data Analysis and Modeling
• Data Storytelling and Presentation

Optional Module: AI Agents for Data Analysis

What are the key components of the AI+ Data™ certification?

The certification covers Data Science Foundations, Statistics, Programming, and Data Wrangling, along with advanced subjects such as Generative AI and Machine Learning.

How does this certification prepare participants for data challenges?

The certification provides participants with the necessary tools and skills to handle complex data challenges, such as cleaning, transforming, and analyzing data.

What are the career opportunities after completing this certification?

Graduates of the AI+ Data™ certification program can pursue roles such as Data Scientist, Machine Learning Engineer, Data Analyst, AI Consultant, and other data-driven positions.

What skills will I gain from this certification?

Participants will gain skills in data analysis, machine learning, data visualization, data wrangling, and predictive analytics, along with proficiency in Python and R.

Can I pursue this course while working full-time?

Yes, the AI+ Data™ certification is designed to be flexible and can be pursued while working full-time. The course materials are available online.