 What is learning analytics? Learning analytics is the measurement collection analysis and reporting of data about learners and their context for improving the teaching learning process. Let's understand the application of LA using an example of a problem faced by teacher in a classroom. Yes, being a teacher, I am very much worried about my students. I am able to understand each one of them even at the beginning of my course. But whatever the strategy I apply to improve their performance, it works for some students and it does not work for the others. And sometimes it does not work for anyone at all. If I decide to adapt new techniques on them, the course gets completed before any change happens. This is the main issue that I am facing now and I do not know how to overcome this. Now let's see how we can use learning analytics to tackle this problem. The learning behavior of the students in class give a lot of information including their attendance, their test performance and their assignment submission behavior. In this learning analytics tool course, we will teach you how to explore this information to find out what went wrong and what went right. We will teach you how to use machine learning algorithms to predict the future and to design effective teaching strategy for better learning outcomes. Welcome to Learning Analytics course. I am Ramkumar Rajendran. I am the instructor for this course. By now you might know that this course is about applying analytics to improve the teaching learning processes. Like in other domain, in EdTech domain also, we can produce lot of data and we are producing lot of data by interacting with MOOCs, interacting with learning management systems like Moodle, Blackboard and also by interacting with technology enhanced learning environment like computer based learning environment or personalized learning environment or intelligent learning systems. So how to use this data to improve the teaching learning process is the primary goal of this course. In order to achieve this course, first we will start with what data can be collected and how to collect this data in environments like classroom learning management systems or MOOCs or also in the intelligent learning systems or technology enhanced learning environments. Then next, we will see how to process this data in such a way that it can be analyzed for use for analysis in a tools like Excel or Orange or WACA. So it is the second step is data processing and using the data for analysis. Then we will talk about some tools which we used to do the diagnostic analytics like Pro-IM that is a software to do the process mining or sequential pattern mining and ISAT. These are the tools we can use to mine some patterns from the log data and also to visualize. We also talk about ML algorithms like linear regression and decision tree but the aim of this course is not to teach ML algorithms instead it is about you to introduce to these algorithms in abstract way. And finally, we will talk about how to use these data so that we can improve the teaching learning processes. Hi sir, I am pretty much excited about the course but still we have some doubts. Is coding language important for this course? The coding is not necessary for this course but if you know Python script, Python coding that will help you to extract your own features. So if you don't know coding, it's okay, you can take this course. Okay. And does the knowledge of advanced mathematics required? This course we don't really expert the students of advanced mathematics knowledge. If you know basic statistics and the class 10th level mathematics that is enough to understand this course. Okay sir. I want to start learning machine learning algorithms. Is this course suitable for that? If you want to know, learn machine learning and understand the mathematics begin the each algorithm and want to know about the each parameter how to improve those performance of algorithm I don't recommend this course. You can take other good machine learning courses in NPTEL. This course is for someone who want to do a basics in ML and want to use their data and apply the ML algorithm to improve the teaching learning processes. So I already have some basic knowledge of ML algorithms and some knowledge about data analytics. Will the course provide me some data or for analysis? If you already have a basic knowledge that is good but this course is not going to provide you the data for your analysis. Instead what we do in this course is we will try to explain you how to collect data and what data to be collected in a different learning environment. So if you are looking for data from this course this is not a suitable course. Thank you very much.