Data Science and Analytics
This program teaches you the full data science workflow: collecting and cleaning data, exploring it for patterns, applying statistics and machine learning, and communicating findings to decision-makers. You'll work with real-world datasets in Python, build dashboards, and develop predictive models, finishing with a capstone project that mirrors the kind of analysis companies pay analysts and data scientists to do.
What You'll Learn
- Python programming for data analysis
- Data wrangling and cleaning with Pandas Exploratory data analysis and visualization (Matplotlib, Seaborn) Statistics and probability for data science
- SQL for data extraction and analysis Machine learning fundamentals(regression, classification, clustering)
- Model evaluation and validation techniques
- Building interactive dashboards (Power BI / Tableau)
- Introduction to deep learning concepts
- Storytelling with data and stakeholder communication
- Working with APIs and real-world data sources
- Version control with Git for data projects
Who This Course is For
- Beginners who want a structured path into data science
- Analysts looking to add Python and machine learning to their skill set
- Graduates and career changers from any background with strong analytical interest Professionals who want to make data-driven decisions in their current role
Prerequisites
- Basic computer literacy
- Comfort with basic math (algebra level) no advanced math required
- No prior
- programming experience required
What's Included
This course features a robust hybrid learning model:
- Physical Classes: 3 days per week — hands-on coding, collaborative projects, and core lectures.
- Online Classes: 2 days per week — code reviews, debugging, Q&A, and deep dives.
- Physical Weekend Sessions: Admits students who can only attend weekend classes - Saturdays and Sundays.
- Course Materials
- Code Mentorship
- Portfolio Development
- Certificate of Completion
Tools & Technologies You Will Use
- Python
- Pandas & NumPy'
- Jupyter Notebook'
- Scikit-learn
- SQLPower BI / Tableau
- Git & GitHub
Capstone Project
Business Insights Dashboard & Predictive Model
Analyze a real-world business dataset end-to-end: clean and explore the data, build a predictive model to answer a business question, and present findings through an interactive dashboard and a written executive summary.