AI for Data Analytics

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

• Students may cancel up to 14 days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price). 
• Cancellations within 14 days are not permitted, but students may reschedule up to three business days before the class start date.
• For cancellations and reschedules, please email us at [email protected]

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.