Beginner to Intermediate10-12 weeks

Data Science & Analytics

Learn to analyze data, build predictive models, and derive actionable insights using Python, SQL, and machine learning techniques.

PythonNumPyPandasSQLStatisticsPower BIMachine LearningScikit-learn

What you'll learn

Write Python code for data manipulation and analysis
Use NumPy and Pandas for efficient data processing
Query databases using SQL
Apply statistical methods for data analysis
Create interactive dashboards with Power BI
Build and evaluate machine learning models
Clean and preprocess real-world datasets
Present data insights effectively

Curriculum

  • Python basics and syntax
  • Data types and structures
  • Control flow and functions
  • File handling
  • Error handling
  • Python best practices

Who should enroll?

Aspiring data analysts and data scientists, business professionals wanting to become data-driven, students interested in analytics careers, and professionals looking to add data skills to their profile.

Prerequisites

Basic mathematics and logical thinking. No prior programming experience required.