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Data Science Training

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Course type: Online Instructor led Course

Platform: Google

Course ID: 32600

Course type: Online Instructor led Course

Platform: Google

Students Interested 0 (Seats Left 0)

₹ 15,000

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Safi Patel

Global Head-training

About Safi Patel

Seasoned technology consultant with experience in diversified disciplines
- Passionate mentor and trainer with strong technical skills
- Experienced expert in new product development, product planning and project management
- Engineering graduate with Masters in Embedded Systems
- Research interest- Protocol development, device design & open source technologies
- 18+ Years of Experience of research, design and development in Embedded Systems, ESDM, IoT, Medical Electronics, Networking, IT and Project management.
- 10+ years of experience as skill development and corporate trainer in Embedded, Communication, and IoT domain
- Field experience of implementation of Hospital Information Systems and PACS
- Strong conceptual understanding of communication protocols: RS232C, SPI, I2C, TCP/IP, IPv4/IPv6, MQTT, CoAP, and medical imaging protocols: DICOM, HL7, PACS
- Strong programming & coding skills in Python, C and Assembly
- Strong development skills on 8051, Arduino and ARM based dvelopment platforms
- Trained more than 8000 engineering graduates
- Designed and developed hundreds of projects and product prototypes
- Certified service engineer for Siemens X-ray systems & AGFA Medical Imaging Systems (CR Systems)
- Good knowledge of PLC/SCADA & Ladder programming.
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About the Course

Data Science course enables you to understand the practical foundations, helps you to effectively execute and take up Big Data and other analytics projects. The program covers topics from Big Data to Data Analytics Life Cycle. Understanding these topics helps in addressing business challenges that leverage Big Data. Another aspect of this course is that it covers basic as well as advanced analytic methods and also introduces the participant to Big Data Technology and tools like MapR and Hadoop. Our state-of-the-art-infrastructure allows students to understand the applications of these methods and tools by getting hands-on experience working alongside real time data scientists. This program has an open approach including a final lab session which explains various Big Data Analytics challenges by applying the concepts covered during the program in respect to Data Analytics Lifecycle.

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