Data Anlaytics Course
With AI

Learn the core concepts of Artificial Intelligence including machine learning, neural networks, deep learning, natural language processing, and computer vision. Understand how AI systems work, how data is used to train models, and how businesses apply AI to automate tasks, improve decision-making, and create intelligent solutions across industries.

• Introduction to AI and Machine Learning
• Understanding Neural Networks
• Supervised vs Unsupervised Learning
• Natural Language Processing Basics
• AI Tools and Real-World Applications
• Ethics and Future of Artificial Intelligence

Learn how to clean, organize, and prepare raw data for accurate analysis and better decision-making using modern analytics techniques.

• Handling missing, duplicate, and inconsistent data
• Data formatting, transformation, and preprocessing techniques
• Preparing structured datasets for analytics and AI tools

Learn how to present data clearly using charts, dashboards, and visual reports to uncover insights and support better decision-making.

• Creating charts, graphs, and interactive dashboards
• Using visualization tools like Power BI and Tableau
• Transforming complex data into easy-to-understand insights

Develop practical skills in Excel and SQL to manage, analyze, and extract valuable insights from large datasets efficiently.

• Using Excel formulas, pivot tables, and data analysis tools
• Writing SQL queries to filter, sort, and manage data
• Generating reports and insights from structured databases

Learn how to use Python for data analysis, automation, and visualization to handle real-world datasets more efficiently.

• Introduction to Python programming for analytics
• Working with libraries like Pandas, NumPy, and Matplotlib
• Analyzing, cleaning, and visualizing data using Python

Discover how AI tools can analyze data, identify patterns, and generate valuable insights for faster and smarter business decisions.

• Using AI tools for predictive analytics and forecasting
• Identifying trends and patterns through machine learning
• Improving decision-making with AI-driven insights

Learn how to create professional reports and dashboards that help businesses monitor performance, track KPIs, and make data-driven decisions.

• Building interactive dashboards and business reports
• Tracking KPIs and performance metrics effectively
• Presenting data insights for smarter business strategies

Understand the basics of predictive analytics and learn how to use historical data and AI techniques to forecast future trends and outcomes.

• Introduction to predictive models and forecasting techniques
• Using historical data to identify future trends
• Applying AI and machine learning for predictions

Apply your knowledge through hands-on analytics projects using real-world datasets to build practical skills and industry-ready experience.

• Working on real business and analytics case studies
• Building dashboards, reports, and data-driven solutions
• Creating portfolio-ready projects for career growth