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This program is designed to help learners develop both analytical and technical competencies required to handle complex datasets, design machine learning models, and interpret model outputs effectively. Participants will work through real-world case studies, including business forecasting, customer segmentation, natural language processing (NLP), and computer vision.
By the end of the course, learners will be capable of designing end-to-end machine learning pipelines and deploying intelligent systems that drive data-informed decisions.
Course Duration
6 Months
Course Structure
Instructor-Led
Availability
Available Online/Offline
Flexible Schedules
Flexible study schedules
Language
English Language
Training Days
Monday, Wednesday, and Friday
Recognized Certification
Earn a certification on completion
Upon successful completion of this course, participants will be able to:
1. Understand the data science workflow, from data collection to model deployment.
2. Use Python for statistical computing and data manipulation.
3. Apply data visualization tools such as Matplotlib, Seaborn, and Power BI.
4. Perform exploratory data analysis (EDA) and feature engineering.
5. Build predictive models using supervised and unsupervised learning techniques.
6. Implement classification, regression, clustering, and recommendation systems.
7. Understand and apply Deep Learning concepts using TensorFlow/Keras.
8. Evaluate and optimize model performance using validation techniques.
9. Deploy models using cloud platforms and APIs.
10. Work collaboratively on real-world data science projects and capstone challenges.
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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