Data Science
4 MonthsIntermediate
Course Overview
Master the art and science of data analysis with our comprehensive Data Science course. Learn statistics, machine learning, data visualization, and predictive modeling using Python.
Prerequisites
- Basic Python programming knowledge
- Understanding of mathematics and statistics
- Analytical thinking ability
- Basic SQL knowledge is a plus
Course Syllabus
- Introduction to Data Science
- Python for Data Science
- Statistics Fundamentals
- Data Preprocessing and Cleaning
- Exploratory Data Analysis
- Data Visualization with Python
- SQL for Data Science
- Machine Learning Basics
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
- Deep Learning Introduction
- Natural Language Processing
- Time Series Analysis
- Big Data Analytics Introduction
- Data Science Tools (Jupyter, Git)
- Real-world Project Implementation
What You'll Learn
Data Analysis Mastery
Learn to analyze complex datasets and extract meaningful insights
Machine Learning Skills
Build and deploy machine learning models for real-world applications
Statistical Analysis
Master statistical methods and their application in data science
Data Visualization
Create compelling visualizations to communicate insights effectively
Predictive Modeling
Develop predictive models and understand their business applications
Industry Projects
Work on real industry projects using actual datasets