Apollo Computer Education

Courses /Data Science

Data Science

From Data to Decisions – Learn the Science
That Powers Innovation

About Course

Apollo Computer Education’s Data Science course is designed to equip students with in-demand data analytics and machine learning skills required to thrive in the fields of business intelligence, AI, and big data. The course blends statistical techniques, programming knowledge, and practical projects to prepare students for real-world applications.

Personalized mentoring, flexible class timings, and access to practice labs further enhance the learning experience, making it an ideal choice for anyone serious about a career in data.

What will you Learn?

Python Programming for Data Science:Learn the fundamentals of Python, including data structures, loops, functions, and libraries like NumPy and Pandas.
Data Cleaning & Preprocessing:Understand how to handle missing data, outliers, and transform raw data into a usable format.

Statistics & Probability:Grasp essential statistical concepts such as mean, median, standard deviation, distributions, and hypothesis testing.

Data Visualization:Use tools like Matplotlib, Seaborn, and Tableau to create compelling visual representations of data.

Machine Learning: Learn supervised and unsupervised learning techniques including regression, classification, clustering, and decision trees using scikit-learn.

Career Support:Apollo Computer Education offers strong career support to help students transition from training to employment with confidence.