Data Science and Engineering Skills
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Course Overview
This course progresses learners from data fundamentals to advanced data engineering and applied machine learning systems.
Learners will:
Work with structured and unstructured datasets
Build data pipelines and engineering workflows
Apply statistics, machine learning, and visualization
Deploy models and analytics systems
Solve real engineering and industrial data problems
The program is project-based, with continuous labs, case studies, and a final capstone project.
Learning Peeks
Course Duration
6 Months
Course Structure
Instructor-Led
Availability
Available Online/Offline
Flexible Schedules
Flexible study schedules
Language
English Language
Training Days
Offline: Mon, Wed & Fri
Online: Tues, Thur & Fri
Recognized Certification
Earn a certification on completion
Course Outcome
By the end of this course, learners will be able to:
Collect, clean, and preprocess engineering datasets
Apply statistical and exploratory data analysis techniques
Design and implement data pipelines
Use Python and SQL for data engineering tasks
Build predictive and classification models
Apply machine learning to engineering problems
Visualize and communicate insights effectively
Handle large datasets efficiently
Deploy data-driven systems
Present professional engineering-grade data solutions
A World-Class Learning Facility
At Schoolville, we have created a conducive environment for learning, combining exceptional school structures, inspiring classrooms, and dedicated tutors. We understand that the physical surroundings greatly impact the educational experience, and we strive to provide a nurturing setting that fosters academic growth, creativity, and personal development.
Our classrooms are carefully designed to facilitate effective teaching and learning to enable tutors to deliver dynamic and engaging lessons that captivate students attention and spark their curiosity.
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