Course Curriculum
Complete data science and AI training program
Python Basics, Data Types, Functions, OOP, NumPy, Pandas, Data Manipulation, File Handling
Data Cleaning, Visualization (Matplotlib, Seaborn), Pattern Detection, Feature Engineering, Insights Generation
Descriptive Statistics, Probability Distributions, Hypothesis Testing, ANOVA, Regression Analysis
SQL Queries, Joins, Aggregate Functions, Window Functions, Stored Procedures, Database Design
Dashboard Creation, DAX Functions, Data Modeling, Reporting, Publishing, Interactive Visualizations
AWS, Azure, GCP, Snowflake, ETL Pipelines, Data Lake, Data Warehouse Concepts
ML Algorithms, Supervised/Unsupervised Learning, Scikit-learn, Generative AI, Prompt Engineering, AI Tools