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