Data Science
Launch your career as a data professional by mastering the complete data science pipeline—from data collection and cleaning to analysis, visualization, and predictive modeling. This course prepares you to work with real-world datasets, derive insights, and build data-driven solutions used across industries. No prior experience is required; you’ll gain hands-on practice, project-based learning, and job-ready analytical skills.
Practical learning
Apply skills through real data projects
No prior coding required
Start from absolute basics
Mock interview practice
Prepare for real job interviews
Flexible schedule
Learn at your own pace
What you’ll learn
- Explore, clean, and process large datasets using industry-standard tools and techniques.
- Perform statistical analysis to uncover trends, patterns, and actionable insights.
- Build predictive models using machine learning algorithms such as regression, classification, and clustering.
- Create impactful dashboards and data visualizations with tools like Matplotlib, Seaborn, and Power BI/Tableau.
- Work with Python, SQL, and essential data libraries to analyze and manipulate data effectively.
Skills you’ll gain
Python
NumPy
Pandas
Matplotlib
Seaborn
SQL
Machine Learning
Statistics
Data Visualization
Data Cleaning
NumPy
Pandas
Matplotlib
Seaborn
SQL
Machine Learning
Statistics
Data Visualization
Data Cleaning