Data Analytics & AI
Applied Generative AI & Retrieval-Augmented Generation (RAG) (Advanced Level)
Advanced Level: Build enterprise knowledge assistants using vector databases (Pinecone/Chroma), embeddings, and RAG pipelines.
Courses & certifications
Accredited courses delivered by approved partner institutes, each ending in a secure online exam and a verifiable certificate.
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Data Analytics & AI
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10 courses
Data Analytics & AI
Data Analytics Essentials with Excel & Spreadsheets (Beginner Level)
Beginner Level: Master formulas (VLOOKUP, XLOOKUP, INDEX/MATCH), pivot tables, data cleaning, and executive charts in Excel.
Data Analytics & AI
Advanced Power BI: DAX Calculations & Data Modeling (Intermediate Level)
Intermediate Level: Write complex DAX measures (CALCULATE, FILTER, time intelligence), optimize star schemas, and row-level security.
Data Analytics & AI
Big Data Engineering & Cloud Data Warehousing (Snowflake) (Advanced Level)
Advanced Level: Architect modern cloud data platforms: Snowflake virtual warehouses, data staging, transformations, and DBT models.
Data Analytics & AI
Data Storytelling & Visualization with Tableau (Intermediate Level)
Intermediate Level: Create impactful executive dashboards in Tableau: calculated fields, parameters, dual-axis charts, and stories.
Data Analytics & AI
Generative AI & Prompt Engineering Fundamentals (Beginner Level)
Beginner Level: Understand LLM architectures, zero-shot/few-shot prompting, role-based prompts, and productivity workflows.
Data Analytics & AI
Introduction to Business Intelligence with Power BI (Beginner Level)
Beginner Level: Import datasets into Power BI, create relationships, build interactive dashboards, and publish visual reports.
Data Analytics & AI
Machine Learning Foundations for Business Analysts (Advanced Level)
Advanced Level: Supervised and unsupervised learning: linear regression, decision trees, customer clustering, and model evaluation.
Data Analytics & AI
Python for Data Analysis with Pandas & NumPy (Intermediate Level)
Intermediate Level: Manipulate tabular data, clean messy datasets, handle missing values, and perform statistical calculations.
Data Analytics & AI
SQL for Data Analysis & Relational Querying (Beginner Level)
Beginner Level: Query business databases: SELECT, WHERE, GROUP BY, aggregates, INNER/LEFT joins, and data extraction.