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Spring 2025 Programs

Programs available for Spring 2025

Data Science Professional Program: Summer 2025(Cohort 27)

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.

Data Wrangling Academy – Spring 2027 Cohort 27

Ready to transform raw data into actionable insights? The Data Wrangling Professional Program is your gateway to mastering the foundational and advanced techniques that every data analyst needs today. Designed with the evolving demands of the data industry in mind, this hands-on course will teach you how to extract, clean, reshape, and prepare data for deep analysis, powerful visualizations, and predictive modeling.

Data Analytics Professional Program – Spring 2025 – Cohort 27

Gain the skills you need to analyze complex data and uncover actionable business insights. This comprehensive Data Analyst Masterclass starts with the essentials—data visualization, exploratory data analysis (EDA), and storytelling with data—and then dives deep into the tools, techniques, and real-world applications that top data analysts use every day.

Python Programing Academy- Cohort 25 Spring 2025

Kickstart your career in Data Analytics, Data Science, or Machine Learning with a solid foundation in Python—the most in-demand programming language for data professionals today. This course, a cornerstone of the OneCampus Python Academy, is a required component of the Data Analytics, Data Science, and Machine Learning Professional Programs.

Techtern FullStack Data Science & Machine Learning Professional Program -Spring2024

Combined class of Data Science and ML Techtern Students

Data Wrangling Academy – Spring 2024

This course covers essential techniques and tools used in the data wrangling process, enabling professionals to handle real-world data challenges and prepare data for advanced analytics and decision-making.
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