Udacity Hadoop Course–Good Insight About Hadoop & MapReduce

Today I completed Introduction to Hadoop & MapReduce course from udacity. It is very useful course to get insight about mapreduce & hadoop. I  like way they are teaching . I specially like udacity way of asking questions and quizzes in the middle of lecture.
Udacity is offering both free & paid versions of  hadoop course.Course is taught by Cloudera professionals Sarah Sproehnle (Vice President of Educational Services at Cloudera) and Ian Wrigley(Senior Curriculum Manager at Cloudera).Full content of course is accessible even in free version but in paid version you will get special attention, you will get one coach for your assistance and at the end of the course you can get verified certificate if you will able to meet their expectation. Before getting certificate there is exit interview in which they will verify that you created that project or not. The course is consist of total four lectures and each lecture has multiple small questions and exercises. Following are lectures topics

• Introduction to Hadoop, Big Data, Data Science & MapReduce
• The Basics of HDFS, MapReduce and Hadoop cluster.
• Writing a MapReduce program to answer questions about data.
• MapReduce design patterns. (I like the most)

It is better to implement all exercises by your self  as I did, but for  an overview or getting an idea about solution. you can also see solution of first three lectures exercises from below link https://github.com/P7h/IntroToHadoopAndMR__Udacity_Course
I also uploaded some solutions for lectures four exercise at githup, Might be It could helpful for you.
https://github.com/haroonob/intro-hadoop-mapreduce-design-pattern-solution
Final project is also consist of four challenging questions that you have to do it by your self to learn and get certificate. I did it and it’s your turn to challenge your self.
Ohh one more challenging point, may be you need to learn python like me because this course is only available in python.