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Follow on Google News | ![]() DataMites Celebrates Milestone: Completed 800 Data Science & Analytics Learners in CoimbatoreBy: DataMites DataMites offers a range of comprehensive courses, with the Certified Data Scientist and Certified Data Analyst programs standing out as primary offerings. The Certified Data Scientist course, accredited by IABAC® and NASSCOM®, spans 8 months and comprises 700 learning hours. This includes 120 hours of classroom sessions, 25 capstone projects, and 1 client project, ensuring that learners gain extensive hands-on experience and practical knowledge. The Certified Data Analyst course, also accredited by IABAC®, is a 6-month program featuring over 200 learning hours and a demanding 20-hour weekly learning schedule. Participants engage in 10 capstone projects and 1 client project, equipping them with the skills necessary to excel in data analysis roles. Data Science course in Coimbatore: https://datamites.com/ DataMites enhances learning with a 3-month flexi pass for flexible class attendance, Cloud Lab Access for hands-on practice, and internships plus job assistance to bridge education and employment. Courses include Data Science for Managers, Statistics for Data Science, Python for Data Science, Data Scientist with R, and a Diploma in Data Science. DataMites has set up offline training centers in key cities across India, including Bangalore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Kochi, Coimbatore, and Ahmedabad. These centers aim to make their diverse range of courses more accessible. In addition to data science, DataMites offers training in machine learning, artificial intelligence, and data engineering, providing a comprehensive approach to technology education. Data Analytics course in Coimbatore: https://datamites.com/ DataMites is proud to celebrate a significant milestone with 800 successful learners in Coimbatore. This achievement highlights our commitment to advancing data science and analytics education. We remain dedicated to empowering individuals with essential skills, fostering growth, and driving innovation in the field. We look forward to continuing this journey and supporting future data science professionals. End
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