Data Science Professional Program: Summer 2025(Cohort 27)

🚀 Launch Your Career in Data Analytics in Under 8 Months!
Join the Next Cohort of the OneCampus Data Science Professional Program
🎓 100% Tuition Covered by the GATIP Scholarship

The OneCampus Data Science Professional Program is your fast track into the world of data analytics and applied machine learning. In less than 8 months, you'll gain hands-on experience, industry-relevant skills, and real-world project exposure to prepare you for high-impact roles in data analytics, business intelligence, and data science.

🔍 What You’ll Learn:

• Master Core Data Analyst Skills:
  Learn to collect, clean, and transform data using industry-standard tools like Python, SQL, Excel, and Power BI.
• Work with Real-World Data:
  Gain experience building dashboards, conducting exploratory data analysis (EDA), and uncovering actionable insights that drive business decisions.
• Model Development & Evaluation:
  Understand the end-to-end machine learning workflow—model training, performance evaluation, and optimization using ensemble methods and hyperparameter tuning.
• Feature Engineering & Data Wrangling:
  Learn advanced data preprocessing techniques to create robust features and wrangle complex data sets with pandas, NumPy, and more.
• Data Storytelling & Communication:
  Sharpen your ability to communicate insights effectively through compelling visualizations and presentations tailored to business stakeholders.

💼 Why Choose This Program?

• Multiple Capstone Projects: Build a portfolio that demonstrates your ability to solve real business problems.
• Career-Ready Skills: Get job-prep training in resume building, mock interviews, and Git-based portfolio development.
• Expert-Led Curriculum: Learn from top data scientists and analysts with practical industry experience.
• Full Scholarship: Thanks to the GATIP Scholarship, this life-changing opportunity comes at no cost to you.

🎯 Ideal for Aspiring:

• Data Analysts
• Business Intelligence Analysts
• Junior Data Scientists
• Professionals pivoting into tech and analytics roles

📅 Don’t Miss Out – Applications for the Next Cohort Are Now Open!
Start your journey to becoming a data analyst today.

Course Requirements

A background in basic science/math, STEM. A basic understanding of Python programming language is valuable but not a key requirement.

Course Description

Through this course, participants will gain strong mastery of the full cycle of data science model development; from data preprocessing down to pushing trained/tested models to production. Key aspects of the course include:

• Explore the key differences between supervised learning and unsupervised learning
• Manipulate and analyze data using scikit-learn and pandas libraries
• Understand key concepts such as regression, classification, and clusterin
• Discover advanced techniques to improve the accuracy of your model
• Understand how to speed up the process of adding new features
• Simplify your machine learning workflow for production