Transition into High-Growth Data & Analytics Roles
Designed for working professionals from sales, operations, finance, or retail looking to step into high-paying Business Analyst and Data Consultant positions.
Why This Track Works
Ideal Candidate:
Working professionals with 0-5 years experience seeking non-coding/low-coding data careers
Target Career & Education Outcomes:
Programs in this Track
6 WeeksPower BI — Data Visualization & Dashboards
Transform raw data into compelling interactive business intelligence reports. Learn Power Query ETL, Star Schema data modeling, DAX measures, time intelligence, and cloud publishing.
6 WeeksSQL — Database Fundamentals
Master relational databases, complex multi-table joins, subqueries, CTEs, analytical window functions, transactions, and normalized schema design using PostgreSQL and MySQL.
4 WeeksMongoDB — NoSQL Databases
Learn document databases from the ground up. Covers MongoDB Atlas, CRUD operations, Aggregation Pipelines ($match, $group, $lookup), schema design patterns, and indexing for high performance.
8 WeeksJava — Core to Object-Oriented Systems
Master Java from basic control flow to robust OOP, Collections Framework (ArrayList, HashMap), Exception Handling, File I/O, and Multithreading fundamentals.
14 WeeksData Analytics Combo (Python + SQL + Excel + Power BI)
The flagship, comprehensive all-in-one data career program. Master Python data science, advanced SQL querying, Excel financial modeling, Power BI business intelligence, and foundational predictive machine learning.
8 WeeksMachine Learning — Basic
Learn foundational machine learning workflows. Covers data preprocessing with Scikit-Learn, linear/logistic regression, decision trees, KNN, evaluation metrics (ROC-AUC, F1), and K-Means clustering.
8 WeeksMachine Learning — Advanced
Master advanced ML and deep learning techniques. Covers Random Forests, XGBoost, LightGBM, PCA, Neural Networks with Keras/TensorFlow, SMOTE for imbalanced data, and FastAPI model deployment.
6 WeeksAI Fundamentals
A comprehensive journey through artificial intelligence concepts. Covers classical state-space search (A*), NLP fundamentals, computer vision with OpenCV, Hugging Face transformers, and AI ethics.
6 WeeksGenerative AI (GenAI) — Architectures & RAG
Learn modern Generative AI, Large Language Models (LLMs), prompt engineering, structured JSON outputs, OpenAI/Gemini API integration, and Retrieval-Augmented Generation (RAG) with Vector Databases.