Data & AI
Machine Learning
Understand the core algorithms of machine learning and apply them with scikit-learn and Python.
- Level
- Advanced
- Mode
- Online & Classroom
- Duration
- 12 Weeks
All Courses
Data & AI
Data Science
Turn raw data into insight with Python, statistics, visualization, and practical analysis workflows.
Course Overview
Data science combines statistics, programming, and domain knowledge to solve real problems.
You will work with real datasets, build analysis pipelines, and present findings clearly.
Skills Covered
- NumPy and Pandas
- Statistical analysis
- Data visualization
- Data cleaning
- SQL
What You Will Achieve
- Analyze real-world datasets
- Create clear visualizations
- Communicate data-driven decisions
Course Content
- 1Python for data analysis
- 2NumPy and Pandas
- 3Data cleaning and preprocessing
- 4Statistical analysis
- 5Data visualization with Matplotlib
- 6Exploratory data analysis
- 7SQL for data analysis
- 8Reporting and storytelling
- 9Final project development
Projects You Will Build
Sales Analysis Dashboard
An analysis of sales data with trends, forecasts, and visual dashboards.
Customer Churn Study
A data-driven study identifying patterns behind customer churn.
COVID-19 Data Exploration
An exploratory analysis of public health data with visualizations.
Related Courses
- Level
- Advanced
- Mode
- Online & Classroom
- Duration
- 14 Weeks
Data & AI
Artificial Intelligence
Explore modern AI techniques including neural networks, computer vision, and natural language processing.