Using the frequent-Chook card, a customer get a discount at the time of purchase and Cheeky Chook gets information about their purchases, creating a detailed database of customer preferences. They then use these categories to customise discounts and mailing to individual customers, generating increased sales and identifying new products and services to expand their offerings. At the individual stores, data can show information such as which products have fewer price-sensitive customers, as well as which products must have regular low prices to be successful. In some cases, prices are store-specific, based on the customer information.
Data Science and Big Data Analytics: Every day, your organization generates new data on your customers, your processes, and your industry.
But could you be using this data more effectively? Discover how to turn big data into even bigger results in this eight-week online course and earn an MIT Certificate on Data Science as well as 1. Faced with overwhelming amounts of data, organizations are struggling to extract the powerful insights they need to make smarter business decisions.
To help uncover the true value of your data, MIT Institute for Data, Systems, and Society IDSS created this online course for data scientist professionals looking to harness data in new and innovated ways. What is clustering and when should I use it? What is the best way to design experiments and conduct hypothesis testing using my data?
How should I do model selection and avoid over-fitting? What are the latest trends in machine learning? How do graphical models and network models differ? Ever wondered how top companies perfect their recommendation systems? Or how auto manufacturers develop their GPS technology?
Tracking the 2D and 3D position of objects with a Kalman filter. Building your own movie, music, and product recommendation systems, just like Netflix or Pandora.
Automatically clustering news stories with a spectral technique algorithm.
Predicting wages with a linear regression model. Exploring one or two layer perceptrons to assess their decision boundaries. Using network-theoretic ideas to identify new candidate genes that might cause autism. Not sure this course is for you? Identify and avoid common pitfalls in big data analytics.
Deploy machine learning algorithms to mine your data. Interpret analytical models to make better business decisions. Convert datasets to models through predictive analytics. Understand the challenges associated with scaling big data algorithms.
Want to purchase this course for a group? You can purchase enrollment codes for this course to distribute to your team. MIT xPRO courses provide professional development opportunities to individuals, teams, and companies across the world. Leveraging the latest learning technologies, MIT xPRO courses and programs are designed to provide a high quality education experience while accommodating your busy life.
MIT xPRO learners are not only scientists, engineers, technicians, managers, and consultants— they are change agents. They take the initiative, push boundaries, and define the future. Submission and peer-review of two case studies Passing grades on eight assessments. This course is designed for data scientists and data analysts, as well as professionals who wish to turn large volumes of data into actionable insights.
Because of the broad nature of the information, the course is well suited for both early career professionals and senior managers. Since this is not an introductory course, the faculty strongly recommends participants to have substantial background knowledge of statistical techniques and data calculations or quantitative methods of data research.
Technical managers Business intelligence analysts Management consultants IT practitioners Business managers Data science managers Data science enthusiasts. These really helped with visualizing the concepts… I feel more equipped to understand what type of insights can be gleaned from a particular set of data, and can better communicate these asks to our data science team.
I really like having different instructors for different modules and having two instructors interacting together makes the material more vivid and entertaining. Course materials blend the following pedagogical strategies to best achieve the learning objectives of the course and individual modules: Teacher-centered learning where the instructors present relevant content tutorial videos enhanced with animation and graphics.
Students will test their knowledge through graded tests. Learning by doing approach. We encourage learners to construct their own understanding through solving the mandatory and optional case studies and practicing.
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