There is a huge difference in collecting raw data and using that data in a comprehensive and structured way. Technological aspects like data management (Hadoop), scalable computation (MapReduce) and visualization will also be covered. customised services that resonate with your personal career needs. Andheri East, Mumbai, Maharashtra 400069, Leverage Edu Bangalore, Innov8, 3, 20 Main Road Syllabus. Emphasis on statistical analysis and visualization of real data. All of this is possible because of the emergence of Data Science! A project-based course that brings together methods, concepts and current practices in the growing field of data science, including statistical inference, financial modeling, data visualization, social networks and data engineering. Data Science is revolutionising every area of science, engineering and commerce. You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data. 3 Credits Prerequisites Undergraduate course in statistics such as STA 3164 or equivalent The RFP should include a sample design, data collection method, data description, and if required, statistical analysis technique employed. By taking this course the students will be provided with the basic toolkit to work with data (CSV, R, MongoDB). Data Science (Pattern 2019) From academic year 2020-21 … CS910 Foundations of Data Analytics ... Hypothesis testing for determining the significance of an observation, and the R system for working with statistical data. Data science witnessing applications in diverse research disciplines. The Data Science (with Specialisation in Statistics) MSc, was created to address an industry need for statistical analysis alongside data analytics in order to interpret and extract information and value from complex data. Testing and training set: data in S k and fS jg j6=k. 91 Springboard, Lotus Building Leverage Edu helps students make career choice & university admission decisions, using simplified technology to drive streamlined access to best-matched mentors & leading global Universities. Also…, Big Data Security: Starter Tips by Stewart Dunlop. With data-first approach at Leverage Edu, you get 100% Syllabus for MAT 128: Foundations of Data Science Course Description MAT 128: 4 hours, 3 credits. (Data Science) COURSE STRUCTURE I ... 3 MRU-R20DS503 Statistical Foundations of Data Science 3 0 0 3 40 60 4 MRU-R20A0513 Artificial Intelligence 3 0 0 3 40 60 5 MRU-R20A0532 MRU-R20A0533 MRU-R20A0522 Professional Elective-I 1. MBD 411 STATISTICAL METHODS Unit 1 Data Collection & Visualization: Concepts of measurement, scales of measurement, design of data collection formats with illustration, data quality and issues with date collection systems with examples from business, cleaning and treatment of missing data, principles of data visualization, and different method of presenting data in business analytics. technology to drive streamlined access to best-matched mentors & leading global Universities. This statistics and data analysis course will pave the statistical foundation for our discussion on data science. We live in a world where data is power. Secondary (10+2) with minimum 55% marks in PCM / Statistics / Computer / Commerce / Economics For International Students The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program. 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