Gandhipuram, Coimbatore, India - 641012
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MM Towers 3 rd Floor
3 rd Cross cut road
Gandhipuram, Coimbatore, India - 641012
Landmark: Opposite to Mahavir Silks
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Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Teaches
Spring, J2EE, JSP (Java Server Pages), Core Java, Servlet, Java Full Stack Developer, Java Real Time Projects, Web services, Hibernate
Certification training offered
Yes
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
.Net component
.Net Advanced, .Net WCF, ADO.NET, Microsoft .Net 4, .Net Web Services, C# .NET, .Net WPF, ASP.NET, .Net WF, .Net XML, .Net AJAX, ASP.NET AJAX, .Net Nuke, .Net MVC, Appdynamics, .Net LINQ
Certification offered
Yes
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Course Duration provided
3-6 months, 1-3 months
Seeker background catered to
Individual, Educational Institution, Corporate company
Certification provided
Yes
Python applications taught
Testing with Python, Web Development with Python , Text Processing with Python, Game Development with Python, Data Visualization with Python, Data Science with Python, Help in assignment, Networking with Python , Web Scraping with Python , Machine Learning with Python, Data Analysis with Python , Regular Expressions with Python , Scipy Stack with Python , Data Extraction with Python , GUI (Graphical User Interfaces) with Python , PySpark, Core Python
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Data science techniques
Python, Machine learning, Artificial Intelligence, Java
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Deep_Learning_Techniques
Tensorflow, Python
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Teaches web designing at proficiency level
Basic Web Designing, Advanced Web Designing
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
BCA Subject
IT, Programming in C++ , Software Engineering , Internet Concepts and Web Design , C Language Programming, Web Programming, Database Management Systems , Java Programming
Type of class
Regular Classes, Crash Course
Class strength catered to
One on one/ Private Tutions
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Training for ISTQB certification
No
Testing Types
Mobile Automated Software Testing, Automated Software Testing, Manual Software Testing
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
AWS Certification offered
AWS Certified Solutions Architect, AWS Certified DevOps Engineer, AWS Certified SysOps Administrator, AWS Certified Developer
AWS Certification Level offered
Associate, Professional
1. Do you provide Java Certification?
Yes
2. Which classes do you teach?
We teach .Net Training, Amazon Web Services, BCA Tuition, Data Science, Deep Learning, Java Training, Python Training, Software Testing and Web Designing Classes
3. Do you provide a demo class?
Yes, We provide a free demo class.
4. Where are you located?
We are located in Gandhipuram, Coimbatore.
Answered 4 hrs ago Learn IT Courses/Data Science
Data science is a versatile field that finds applications across various domains and industries. Some of the common domains where data scientists work include:
1. **Healthcare**: Data scientists in healthcare analyze medical records, clinical trials data, and patient demographics to improve patient care, optimize treatment plans, and develop predictive models for disease diagnosis and prognosis.
2. **Finance**: In finance, data scientists work on tasks such as risk management, fraud detection, algorithmic trading, credit scoring, and customer segmentation. They use data to identify market trends, assess investment opportunities, and enhance financial decision-making processes.
3. **Retail and E-commerce**: Data scientists help retail companies and e-commerce platforms optimize pricing strategies, forecast demand, personalize recommendations, and improve supply chain management. They analyze customer behavior, transaction data, and inventory levels to drive sales and enhance customer experience.
4. **Marketing and Advertising**: Data scientists in marketing and advertising leverage data to target the right audience, measure campaign effectiveness, and optimize marketing spend. They use techniques like customer segmentation, sentiment analysis, and attribution modeling to maximize the impact of marketing efforts.
5. **Telecommunications**: In the telecommunications industry, data scientists analyze network data, customer usage patterns, and customer feedback to improve service quality, optimize network performance, and develop predictive maintenance models for infrastructure.
6. **Manufacturing and Supply Chain**: Data scientists help manufacturing companies optimize production processes, predict equipment failures, and minimize downtime. They also work on supply chain optimization, inventory management, and logistics planning to streamline operations and reduce costs.
7. **Energy and Utilities**: Data scientists in the energy sector analyze data from sensors, smart meters, and weather forecasts to optimize energy generation, distribution, and consumption. They develop predictive maintenance models for equipment and infrastructure to improve reliability and efficiency.
8. **Government and Public Policy**: Data scientists in government agencies and public policy organizations analyze data to inform decision-making, improve public services, and address societal challenges. They work on projects related to urban planning, transportation, healthcare policy, and public safety.
9. **Technology and Internet Companies**: Data scientists in technology and internet companies work on a wide range of tasks, including user behavior analysis, recommendation systems, natural language processing, and image recognition. They help improve product features, enhance user experience, and drive innovation.
10. **Education**: In the education sector, data scientists analyze student performance data, learning outcomes, and educational resources to personalize learning experiences, identify at-risk students, and improve educational outcomes.
These are just a few examples of the diverse domains where data scientists can make valuable contributions. The skills and techniques used in data science are applicable across industries, making data scientists in high demand in today's data-driven world.
Answered 4 hrs ago Learn IT Courses/Data Science
Data science is a versatile field that finds applications across various domains and industries. Some of the common domains where data scientists work include:
1. **Healthcare**: Data scientists in healthcare analyze medical records, clinical trials data, and patient demographics to improve patient care, optimize treatment plans, and develop predictive models for disease diagnosis and prognosis.
2. **Finance**: In finance, data scientists work on tasks such as risk management, fraud detection, algorithmic trading, credit scoring, and customer segmentation. They use data to identify market trends, assess investment opportunities, and enhance financial decision-making processes.
3. **Retail and E-commerce**: Data scientists help retail companies and e-commerce platforms optimize pricing strategies, forecast demand, personalize recommendations, and improve supply chain management. They analyze customer behavior, transaction data, and inventory levels to drive sales and enhance customer experience.
4. **Marketing and Advertising**: Data scientists in marketing and advertising leverage data to target the right audience, measure campaign effectiveness, and optimize marketing spend. They use techniques like customer segmentation, sentiment analysis, and attribution modeling to maximize the impact of marketing efforts.
5. **Telecommunications**: In the telecommunications industry, data scientists analyze network data, customer usage patterns, and customer feedback to improve service quality, optimize network performance, and develop predictive maintenance models for infrastructure.
6. **Manufacturing and Supply Chain**: Data scientists help manufacturing companies optimize production processes, predict equipment failures, and minimize downtime. They also work on supply chain optimization, inventory management, and logistics planning to streamline operations and reduce costs.
7. **Energy and Utilities**: Data scientists in the energy sector analyze data from sensors, smart meters, and weather forecasts to optimize energy generation, distribution, and consumption. They develop predictive maintenance models for equipment and infrastructure to improve reliability and efficiency.
8. **Government and Public Policy**: Data scientists in government agencies and public policy organizations analyze data to inform decision-making, improve public services, and address societal challenges. They work on projects related to urban planning, transportation, healthcare policy, and public safety.
9. **Technology and Internet Companies**: Data scientists in technology and internet companies work on a wide range of tasks, including user behavior analysis, recommendation systems, natural language processing, and image recognition. They help improve product features, enhance user experience, and drive innovation.
10. **Education**: In the education sector, data scientists analyze student performance data, learning outcomes, and educational resources to personalize learning experiences, identify at-risk students, and improve educational outcomes.
These are just a few examples of the diverse domains where data scientists can make valuable contributions. The skills and techniques used in data science are applicable across industries, making data scientists in high demand in today's data-driven world.
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Teaches
Spring, J2EE, JSP (Java Server Pages), Core Java, Servlet, Java Full Stack Developer, Java Real Time Projects, Web services, Hibernate
Certification training offered
Yes
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
.Net component
.Net Advanced, .Net WCF, ADO.NET, Microsoft .Net 4, .Net Web Services, C# .NET, .Net WPF, ASP.NET, .Net WF, .Net XML, .Net AJAX, ASP.NET AJAX, .Net Nuke, .Net MVC, Appdynamics, .Net LINQ
Certification offered
Yes
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Course Duration provided
3-6 months, 1-3 months
Seeker background catered to
Individual, Educational Institution, Corporate company
Certification provided
Yes
Python applications taught
Testing with Python, Web Development with Python , Text Processing with Python, Game Development with Python, Data Visualization with Python, Data Science with Python, Help in assignment, Networking with Python , Web Scraping with Python , Machine Learning with Python, Data Analysis with Python , Regular Expressions with Python , Scipy Stack with Python , Data Extraction with Python , GUI (Graphical User Interfaces) with Python , PySpark, Core Python
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Data science techniques
Python, Machine learning, Artificial Intelligence, Java
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Deep_Learning_Techniques
Tensorflow, Python
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Teaches web designing at proficiency level
Basic Web Designing, Advanced Web Designing
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
BCA Subject
IT, Programming in C++ , Software Engineering , Internet Concepts and Web Design , C Language Programming, Web Programming, Database Management Systems , Java Programming
Type of class
Regular Classes, Crash Course
Class strength catered to
One on one/ Private Tutions
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Training for ISTQB certification
No
Testing Types
Mobile Automated Software Testing, Automated Software Testing, Manual Software Testing
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
AWS Certification offered
AWS Certified Solutions Architect, AWS Certified DevOps Engineer, AWS Certified SysOps Administrator, AWS Certified Developer
AWS Certification Level offered
Associate, Professional
Answered 4 hrs ago Learn IT Courses/Data Science
Data science is a versatile field that finds applications across various domains and industries. Some of the common domains where data scientists work include:
1. **Healthcare**: Data scientists in healthcare analyze medical records, clinical trials data, and patient demographics to improve patient care, optimize treatment plans, and develop predictive models for disease diagnosis and prognosis.
2. **Finance**: In finance, data scientists work on tasks such as risk management, fraud detection, algorithmic trading, credit scoring, and customer segmentation. They use data to identify market trends, assess investment opportunities, and enhance financial decision-making processes.
3. **Retail and E-commerce**: Data scientists help retail companies and e-commerce platforms optimize pricing strategies, forecast demand, personalize recommendations, and improve supply chain management. They analyze customer behavior, transaction data, and inventory levels to drive sales and enhance customer experience.
4. **Marketing and Advertising**: Data scientists in marketing and advertising leverage data to target the right audience, measure campaign effectiveness, and optimize marketing spend. They use techniques like customer segmentation, sentiment analysis, and attribution modeling to maximize the impact of marketing efforts.
5. **Telecommunications**: In the telecommunications industry, data scientists analyze network data, customer usage patterns, and customer feedback to improve service quality, optimize network performance, and develop predictive maintenance models for infrastructure.
6. **Manufacturing and Supply Chain**: Data scientists help manufacturing companies optimize production processes, predict equipment failures, and minimize downtime. They also work on supply chain optimization, inventory management, and logistics planning to streamline operations and reduce costs.
7. **Energy and Utilities**: Data scientists in the energy sector analyze data from sensors, smart meters, and weather forecasts to optimize energy generation, distribution, and consumption. They develop predictive maintenance models for equipment and infrastructure to improve reliability and efficiency.
8. **Government and Public Policy**: Data scientists in government agencies and public policy organizations analyze data to inform decision-making, improve public services, and address societal challenges. They work on projects related to urban planning, transportation, healthcare policy, and public safety.
9. **Technology and Internet Companies**: Data scientists in technology and internet companies work on a wide range of tasks, including user behavior analysis, recommendation systems, natural language processing, and image recognition. They help improve product features, enhance user experience, and drive innovation.
10. **Education**: In the education sector, data scientists analyze student performance data, learning outcomes, and educational resources to personalize learning experiences, identify at-risk students, and improve educational outcomes.
These are just a few examples of the diverse domains where data scientists can make valuable contributions. The skills and techniques used in data science are applicable across industries, making data scientists in high demand in today's data-driven world.
Answered 4 hrs ago Learn IT Courses/Data Science
Data science is a versatile field that finds applications across various domains and industries. Some of the common domains where data scientists work include:
1. **Healthcare**: Data scientists in healthcare analyze medical records, clinical trials data, and patient demographics to improve patient care, optimize treatment plans, and develop predictive models for disease diagnosis and prognosis.
2. **Finance**: In finance, data scientists work on tasks such as risk management, fraud detection, algorithmic trading, credit scoring, and customer segmentation. They use data to identify market trends, assess investment opportunities, and enhance financial decision-making processes.
3. **Retail and E-commerce**: Data scientists help retail companies and e-commerce platforms optimize pricing strategies, forecast demand, personalize recommendations, and improve supply chain management. They analyze customer behavior, transaction data, and inventory levels to drive sales and enhance customer experience.
4. **Marketing and Advertising**: Data scientists in marketing and advertising leverage data to target the right audience, measure campaign effectiveness, and optimize marketing spend. They use techniques like customer segmentation, sentiment analysis, and attribution modeling to maximize the impact of marketing efforts.
5. **Telecommunications**: In the telecommunications industry, data scientists analyze network data, customer usage patterns, and customer feedback to improve service quality, optimize network performance, and develop predictive maintenance models for infrastructure.
6. **Manufacturing and Supply Chain**: Data scientists help manufacturing companies optimize production processes, predict equipment failures, and minimize downtime. They also work on supply chain optimization, inventory management, and logistics planning to streamline operations and reduce costs.
7. **Energy and Utilities**: Data scientists in the energy sector analyze data from sensors, smart meters, and weather forecasts to optimize energy generation, distribution, and consumption. They develop predictive maintenance models for equipment and infrastructure to improve reliability and efficiency.
8. **Government and Public Policy**: Data scientists in government agencies and public policy organizations analyze data to inform decision-making, improve public services, and address societal challenges. They work on projects related to urban planning, transportation, healthcare policy, and public safety.
9. **Technology and Internet Companies**: Data scientists in technology and internet companies work on a wide range of tasks, including user behavior analysis, recommendation systems, natural language processing, and image recognition. They help improve product features, enhance user experience, and drive innovation.
10. **Education**: In the education sector, data scientists analyze student performance data, learning outcomes, and educational resources to personalize learning experiences, identify at-risk students, and improve educational outcomes.
These are just a few examples of the diverse domains where data scientists can make valuable contributions. The skills and techniques used in data science are applicable across industries, making data scientists in high demand in today's data-driven world.
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