AI for Data Analytics

Automate and enhance the data analysis process with artificial intelligence (AI). In this course, you'll learn how to utilize AI tools to collect, preprocess, analyze, visualize, and interpret data without the need for extensive coding knowledge.

Revolutionize your data analysis process with artificial intelligence (AI) to . This course provides a deep dive into AI tools that automate data collection, preprocessing, analysis, and visualization, enabling participants to extract valuable insights with minimal coding expertise. By the end of the course, learners will be proficient in utilizing AI-driven analytics across various sectors such as finance, marketing, and healthcare, and will be adept at presenting their findings effectively through sophisticated visualizations and reports.

Throughout the course, participants will explore a range of modules that cover essential aspects of AI in data analytics. The curriculum includes an introduction to AI tools for data analysis, followed by hands-on training in data collection, cleaning, and preprocessing techniques. Learners will also delve into exploratory data analysis, predictive modeling, and advanced AI techniques such as natural language processing and time series forecasting. The course culminates in a capstone project where participants apply their skills to a comprehensive data analysis task, showcasing their ability to implement AI solutions in real-world scenarios.

Course Syllabus

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

Learn more about AI for Data Analytics at Noble Desktop.