This comprehensive bootcamp is designed to provide a strong foundation in data skills, from data manipulation to visualization, and prepares learners for specialized tracks in either Data Science (Machine Learning) or Data Analytics (Business Intelligence). Whether you're starting out or upskilling, this course guides you through Python programming, data wrangling, and statistical thinking. After mastering the core fundamentals, the cohort splits into two focused paths—ML for those interested in predictive modeling and algorithms, and BI for those inclined toward dashboards, business insights, and reporting tools.

Key Highlights:

Foundations in Python for data work

Real-world datasets and hands-on projects

Choice of specialization: Machine Learning or Business Intelligence

Career-focused curriculum with practical tools and techniques

Industry-relevant case studies and mentorship

What You Will Learn:

Core Modules (All Students):

Python for Data

Learn the basics of Python, focusing on data structures, libraries like Pandas, NumPy, and data exploration techniques.

Data Cleaning & Manipulation

Understand how to transform raw data into structured formats suitable for analysis.

Data Visualization
Use libraries such as Matplotlib and Seaborn to build impactful visual narratives.

Statistics & Analytical Thinking
Apply statistical methods to interpret data, identify trends, and inform decisions.

Specialization Tracks (Choose One):

Track A: Data Science – Machine Learning Focus

Introduction to Supervised and Unsupervised Learning

Model Building, Evaluation, and Tuning

Scikit-learn, XGBoost, and other ML libraries

Real-world machine learning project with deployment considerations

Track B: Data Analytics – Business Intelligence Focus

Dashboard Design and Data Storytelling

Tools like Power BI or Tableau.

SQL for data querying and business reporting.

Capstone project involving executive-ready dashboards and KPIs

Outcomes:

By the end of the program, you’ll have the technical skills, project experience, and portfolio to pursue roles in either data science or analytics. You’ll understand both the "how" and "why" behind data decisions—setting you up for success in a wide range of industries.