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Description
<p> <strong>Harvard University</strong> has created a free online course on the topic of <strong>Data Wise</strong> with the collaboration of <strong>edX</strong>. This course is based on eight to twelve hours long and self study course. The basic motive to design this course is to enhance the capabilities of school teachers, district leaders, educational entrepreneurs and policymaker to improving results for students.</p> <p> This online course explains a clear, 8-step procedure for using a large variety of data sources to get better teaching. This course is offered free of cost in <strong><a href="https://www.edx.org/course/introduction-data-wise-collaborative-harvardx-gse3x#!">English language</a></strong>. Certificates will be given to those candidates who completed this course successfully.</p> <p> <strong>Why Take This Course?</strong></p> <p> MOOC introduced this free online course with collaboration of Harvard University. <strong>MOOC</strong> will be offered with video transcripts to more understandable this course to students. Students who successfully complete this course will get the certificate with verification. Students with no programming experience will also apply for this course.</p> <p> This free online course will beneficial for students who want to know about Data Wise. In this course there will include discussion board moderation, live events, and office hours. After getting this course, students will also join the research work related to this course. Students who want do online courses related to their interest and study field please visit the official webpage of MOOC and get maximum information.</p> <p> <strong>Learning Outcomes</strong></p> <p> Students who are successfully complete this course will have to know about the Data wise improvement procedure and how it can facilitate you get better teaching and learning. Those candidates who complete this course they have complete knowledge about the teaching practice, test scores, data sources and student work. Recognize subsequently steps in sustaining a civilization of joint data query in your situation.</p> <p> <strong>Instructors</strong></p> <p> <strong>Kathryn Parker Boudett i</strong>s Lecturer on Education & Director of the Data Wise Project in Graduate School of Education, Harvard University</p> <p> </p> <p style="text-align: center;"> <span style="font-size:16px;"><strong><a href="https://www.edx.org/course/introduction-data-wise-collaborative-harvardx-gse3x#!"><span style="color:#ff0000;">Click for more Details</span></a></strong></span></p> <p> </p> <p> </p>
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