Data Science Courses
DURATION
60 Days
CERTIFICATE
Included upon Completion
Learn data science through a two-month program combining expert-led training with hands-on experience in data analysis, visualization and machine learning.
About this program
Build a strong foundation in data science through a two-month program combining structured learning and practical analytical experience. The first month focuses on Python programming, statistics, data manipulation and machine learning fundamentals, while the second month provides hands-on experience in data cleaning, visualization, predictive modeling and real-world analytical projects.
Key learning outcomes
Python programming: Learn Python fundamentals, data structures and essential libraries to process, manipulate and analyze datasets efficiently.
Data analysis: Understand data cleaning, exploratory data analysis, statistical methods and techniques for identifying meaningful patterns in datasets.
Data visualization: Explore visualization tools, charts, dashboards and techniques to communicate complex data through clear, meaningful insights.
Machine learning: Learn supervised and unsupervised learning concepts, predictive modeling and model evaluation techniques to solve data-driven problems.
Hands-on capstone projects
Apply your learning during the second month through practical data cleaning, exploratory analysis, visualization exercises, predictive modeling and guided data science projects.
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Course FAQs
KAY Scholar offers industry-focused courses designed to develop practical skills through expert-led training and hands-on learning.
Each course runs for two months. The first month focuses on structured learning, followed by hands-on practical experience in the second month.
Yes. Our courses combine theoretical knowledge with practical assignments, guided activities and project-based learning.
Click Enroll now and submit your details. Our team will guide you through the admission process, eligibility requirements and upcoming batches.
Yes. KAY Scholar offers placement assistance, including resume guidance and interview preparation, to support learners in exploring career opportunities.
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