Data Science
Extract valuable insights from data using Python, R, SQL, and advanced analytics techniques.
Duration
14 weeks
Level
Beginner to Advanced
Course Overview
Our comprehensive Data Science course equips you with the skills needed to analyze complex data sets, build predictive models, and communicate insights effectively. Perfect for beginners and professionals looking to upskill.
What You'll Learn
- Python and R programming for data analysis
- SQL for database management and queries
- Statistical analysis and hypothesis testing
- Data visualization with Tableau, Power BI, and Python libraries
- Machine learning for predictive analytics
- Data cleaning, preprocessing, and ETL pipelines
Course Curriculum
Module 1: Foundations of Data Science
Introduction to data science, Python/R basics, and data types
Module 2: Data Collection and Cleaning
Data acquisition, web scraping, and data cleaning techniques
Module 3: Exploratory Data Analysis
Statistical analysis, data visualization, and pattern recognition
Module 4: Machine Learning for Data Science
Regression, classification, and clustering techniques
Module 5: Advanced Topics & Capstone Project
Big data tools, cloud platforms, and end-to-end data science project
Prerequisites
No prior experience required. Basic mathematical knowledge is helpful but not mandatory. We'll start from the fundamentals.