STAY AHEAD OF THE CURVE!
STUDENT EXPERIENCE
Our programs are designed to enhance your education by supporting your physical and emotional wellbeing with an array of resources designed to foster personal and creative development, a sense of community and opportunities to help you succeed.
CAREER DEVELOPMENT
Through the delivery of professional development workshops, career counseling, alumni mentorship and experiential education, we strive to provide a campus environment that nurtures the individual curiosity and creativity of our students.
RANKED IN THE STATE
We are dedicated to providing resources and programming that empower EduStation students and alumni to navigate their own creative careers and establish meaningful connections with industry professionals.
INTERNSHIPS
Our alumni and industry network provides students with access to internship opportunities in some of the best studios across the country and around the world.
RECRUITMENTS
Each term, graduating students are given the opportunity to network with design professionals from top companies and studios looking to identify talent for current or potential job openings.
What you'll learn
- Introduction to Business Analytics
- Introduction to Python
- Introduction to Machine learning and many of its tools
- Important Algorithms on Machine Learning
- Visualization Analytics and Tableau
- Analytics for Competitive Advantage
- Data Mining and Management Strategies
- Applying Business Analytics
- Assignments
- Projects
Features
- Live Sessions
- Our live-interactive sessions are designed to meet your needs and provide you with the highest quality learning experience.
- Distinguished Mentors
- Our live-interactive sessions are designed to meet your needs and provide you with the highest quality learning experience.
- Internships & Projects
- Build your career in the entertainment industry, including with our advice and guidance on internships, & projects.
- 24/7 Support
- Edu-station make sure that every query of the students is resolved so that they are able to reach their goals.
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What is Machine Learning Rule-based algorithm V/S machine learning algorithm
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Difference between Supervised and Unsupervised learning.
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Classification vs Regression
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K-NN classification
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Linear Regression
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Logistic Regression Training ,Testing and Cross Validation Data
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pickling and scaling
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Techniques, Error Metrics, Features and label
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Competing With Analytics
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Using Analytics to Create Value
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Enterprise Data Management and Analytical and Modeling Tools
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Value Chain and Business Analytics
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Marketing/Sales and Valuation Processes
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Supply Chain, Enterprise Risk, and HR Processes
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Identifying and Defining Organizational Problems and Opportunities
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Telling the Story With Data – Communications and Visualization
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Enterprise Database and Data Models
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Extracting Data from a Database
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The Data Analysis Landscape and an Overview of Machine Learning
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Getting Data from Social Networks and Geolocalisation
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Clustering and Understanding the Relation of Things
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Black Box vs. White Box Approach and the Implications
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Classification Black Box Methods
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Large-Scale Implementation of Hadoop and MapReduce
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