# AI for Data Analytics Course (Self-Paced)

Canonical URL: <https://www.graduateschool.edu/courses/ai-for-data-analytics-self-paced>

## Overview

Revolutionize your data analysis with artificial intelligence (AI) in this hands-on course. Learn to use AI tools that automate data collection, preprocessing, analysis, and visualization, allowing you to extract insights with minimal coding. By the end, you'll be proficient in applying AI-driven analytics across sectors like finance, marketing, and healthcare, and presenting your findings with advanced visualizations and reports.

The course begins with an introduction to AI tools for data analysis, followed by training in data collection, cleaning, and preprocessing techniques. You’ll then explore exploratory data analysis, predictive modeling, and advanced AI methods such as natural language processing and time series forecasting.

The course culminates in a capstone project, where you'll apply your skills to a comprehensive data analysis task, showcasing your ability to implement AI solutions in real-world scenarios.

## What you'll learn

- Overview of popular AI tools and platforms like IBM Watson, Google AI, Tableau, and Microsoft Azure AI
- Learn automated data cleaning methods and how to handle missing data and outliers using AI tools
- Use AI tools to generate summary statistics, visualize data distributions, and detect patterns
- Understand regression, classification, and clustering, and use AI tools to build and evaluate predictive models
- Explore applications of NLP for text analysis and automated time series forecasting with AI tools

## Curriculum

### Introduction to AI in Data Analytics

#### Overview of AI & Data Analytics

- Understanding AI and its applications in data analytics
- Benefits of using AI for data analysis

#### Introduction to AI Tools

- Overview of popular AI tools and platforms (e.g. IBM Watson, Google AI, Tableau, Microsoft Azure AI)

### Data Collection & Preparation

#### Data Sources & Collection Methods

- Identifying various data sources
- Using AI tools to collect data from different platforms

#### Data Cleaning & Preprocessing

- Automated data cleaning techniques
- Handling missing data and outliers using AI tools

### Exploratory Data Analysis (EDA)

#### Understanding Your Data

- Using AI tools to generate summary statistics
- Visualizing data distributions and relationships

#### Advanced EDA Techniques

- Automated pattern and trend detection
- AI-driven feature selection and engineering

### Data Visualization

#### Creating Visualizations

- Using AI tools to create charts, graphs, and dashboards
- Best practices for data visualization

#### Interactive Dashboards

- Building interactive dashboards with AI tools
- Customizing dashboards to meet specific needs

### Predictive Analytics & Modeling

#### Introduction to Predictive Modeling

- Understanding regression, classification, and clustering
- Using AI tools to build predictive models

#### Model Evaluation & Validation

- Automated model evaluation techniques
- Understanding metrics and performance evaluation

### Application of AI in Various Domains

#### Financial Data Analysis

- Case studies and applications in financial forecasting

#### Marketing Data Analysis

- Analyzing customer behavior and market trends

#### Healthcare Data Analysis

- Applications in patient data analysis and medical research

### Advanced AI Techniques

#### Natural Language Processing (NLP)

- Using AI for text analysis and sentiment analysis

#### Time Series Analysis

- Automated time series forecasting with AI tools

### Capstone Project

#### Project Planning & Execution

- Defining a project scope and objectives

#### Applying Learned Skills

- Using AI tools to complete a comprehensive data analysis project

#### Presentation & Reporting

- Presenting findings using AI-generated reports and visualizations

## Pricing

**Tuition:** $695