Become an industry-ready Data Scientist from the ground up.
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Master Python basics, OOP, and file handling to build robust automated scripts and data scrapers.

Grasp core algorithms deeply via probability, statistics, calculus, and linear algebra.

Clean, transform, and analyze datasets using Pandas, NumPy, and Excel Power Query.

Utilize advanced SQL and query optimization to efficiently retrieve enterprise data.

Design interactive, dynamic dashboards with Power BI, DAX, and Tableau.

Train and evaluate supervised, unsupervised, and ensemble models, including XGBoost.

Build text prediction models with Spacy and manipulate real-time video using OpenCV.
Python Fundamentals
File I/O and Operating System
Statistics
Probability
Data Analysis with Python
Data Analysis with Excel
Retrieving Data using Web Scraping
Reframing Data with NumPy
Moving from Basics to Advanced SQL



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