Learning analytics is easier than finding a good resource for it! Be it books,mooc,blog posts, self learning,believe me i have tried it all! But getting there, when you understand the whole concept is not an easy task for beginners. It's still ok if you are a management guy or stats grad but for beginners from a different background without having PG degree,it's a lot of pain to understand the whole thing by themselves. So in this section we will discuss some of the best resources i found online or offline that you can use to learn analytics.
MOOCs: You think you are a visual learner? think again! MOOCs are great source to learn new things if you are a visual learner,but it can waste your time if you think you understood all that guy said in that video! The key for any MOOCs is that you practice more time than you learn. Let's say any course is saying you to spend 4-5 hours a week to be on the track,this means you have to practice in your own time to get a grip on it. These MOOCs are available for all kind of audience from beginner to expert. KDnuggets gives a great list of these MOOCs available with audience level.click here . BlogPosts: Blog posts can help you understand any particular topic in detail. So if you have to brush up any topic or you are curious about how others do it, you should follow some blog posts. I am listing some of my favorite blog posts which i follow: 1. AnalyticsVidhya 2. bzst.com 3. Anil Batra's web analytics 4. statistics blog 5. Data Science 101 6. DecisionStats 7. Meta Analysis Books: There are many books available for learning data analytics. Some of them i am listing here. Any good book will do, all are same and depends on your interest of learning, like more stats less coding or more conceptual based. Analytics Vidhya gives a good list for the same.click here. Data Sources: Practicing with different data sets is very important to understand various data types. There are so many repositories are available online that you can leverage to learn. KDnuggets gives a great list for the same. click here
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