Basic to Intermediate Level

• Learn core Excel skills: formatting, formulas, and data organization.
• Apply logical and lookup functions for smarter analysis.
• Create charts and use productivity tools for real-world tasks.

Basic to Advanced Level

• Master advanced formulas, PivotTables, and data analysis tools.
• Automate tasks with macros and streamline complex workflows.
• Ideal for professionals seeking deep Excel control and insights.

Basic to Modern Level

• Start with essentials, then explore Power Query and Power Pivot.
• Use dynamic arrays and build scalable data models.
• Design interactive dashboards for modern business intelligence.

Basic to Intermediate

• Learn SQL syntax, SELECT queries, filtering and sorting data.
• Use JOINs, GROUP BY and aggregate functions for multi-table analysis.
• Ideal for beginners aiming to query and summarize business data confidently.

Basic to Advanced

• Master subqueries, window functions and complex joins.
• Work with views, indexes and stored procedures for performance and reusability.
• Perfect for analysts and developers managing large-scale relational databases.

Basic to Senior

• For senior analysts and data engineers building scalable systems.
• Design schemas, ensure integrity, manage transactions.
• From basics to advanced query optimization.

Basic to Intermediate

• Start with Power BI basics: importing data, creating visuals and designing simple reports.
• Understand data types, relationships and key features of the Power BI interface.
• Learn best practices for clean and effective visual storytelling.

Basic to Advanced

• Build interactive dashboards featuring drill-through, bookmarks and advanced filters.
• Master DAX formulas, advanced modeling and calculated columns/measures.
• Automate refreshes and streamline workflows with Power BI Service.

Basic to Intermediate

• Learn Tableau essentials: connecting data, creating charts and building simple dashboards.
• Use filters, groups and basic calculations for clearer insights.
• Understand data types, formatting and visualization best practices.

Basic to Advanced

• Master advanced charts, level-of-detail (LOD) expressions and complex calculations.
• Build interactive dashboards with advanced filters, parameters and actions.
• Optimize data sources and create professional analytics reports.

Basic to Intermediate

• Learn Python fundamentals: variables, loops, functions and data structures.
• Work with libraries like Pandas and NumPy for data cleaning and manipulation.
• Practice real-world tasks such as importing datasets, filtering data and visualization.

Basic to Advanced

• Advanced concepts: object-oriented program, error handling and modular coding.
• Perform deep data analysis with Pandas, NumPy, Matplotlib and Seaborn.
• Automate repetitive workflows and build production-ready data pipelines.

Basic to Modern

• Explore modern Python tools used in data analytics workflows.
• Master modern Python tools for efficient data workflows.
• Apply Python for automation, dashboards and cloud integration.

Azure

• Creating blob storage and storage
• Azure SQL database
• Handling data factory
• Synapse cloud platform

AWS

• S3 buckets
• Amazon athena
• Glue and glue data brew
• Quick sight

• Mastering Linear Algebra for Data Science
• Essential Calculus Concepts for Data Science
• Foundations of Probability in Data Analysis
• Understanding Data Structures and Algorithms for Efficient Computing
• Senior-Level SQL for Data Querying and Optimization
• Version Control Essentials for Data Projects
• Core Statistics Every Data Scientist Must Know
• Advanced Machine Learning Techniques and Applications
• Deep Learning Foundations and Neural Network Mastery

High-Impact Digital Portfolio

• Build and deploy a professional website using HTML/CSS to showcase your class projects.

Professional Networking Mastery

• Learn to utilize platforms like LinkedIn effectively for job searching and industry connection.

Modern Resume Design

• Create a concise, ATS-friendly resume and application materials.

Targeted Interview Training

• Get tips and practice for job interviews (behavioral and technical).

• Creating and configuring your professional GitHub account.
• Posting and managing data analysis projects systematically.
• Mastering the creation and maintenance of project repositories.
• Using core Git commands to track and share project versions.

• Utilizing modern AI platforms built for efficient data analysis.
• Techniques for developing and refining high-quality, AI-ready datasets.
• Applying complex AI commands and features for specialized data queries.
• Generating deeper, AI-driven insights from raw and complex data.