# AI for Data Analytics (Self-Paced)

Canonical URL: <https://www.nobledesktop.com/classes/ai-for-data-analytics-self-paced>

## Overview

Transform your data analysis workflow with artificial intelligence in this self-paced course. You’ll explore AI tools that automate data collection, preparation, analysis, and visualization, making it possible to uncover valuable insights with minimal coding. By the end of the course, you’ll be able to apply AI-driven analytics across industries such as finance, marketing, and healthcare, and clearly present your findings through professional-quality visualizations and reports.

The course is organized into structured, self-paced modules that guide you through the full AI-enabled analytics process. You’ll start with an overview of AI tools for data analysis, then move through data collection, cleaning, and preprocessing techniques at your own pace. From there, you’ll explore exploratory data analysis, predictive modeling, and advanced topics such as natural language processing and time series forecasting. The course concludes with a capstone-style project that allows you to apply everything you’ve learned to a real-world data analysis scenario.

## What you'll learn

- Get an introduction to widely used AI platforms such as IBM Watson, Google AI, Tableau, and Microsoft Azure AI
- Learn how to automate data cleaning, including handling missing values, outliers, and inconsistent data using AI tools
- Use AI to generate summary statistics, create visualizations, and uncover patterns within datasets
- Build and evaluate predictive models by applying regression, classification, and clustering techniques with AI support
- Explore practical uses of natural language processing for text analysis and AI-powered time series forecasting

## 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
