My knowledge is standard knowledge of any technology related businessman in any country. Around Big Data, I will not learn core matters what a data scientist need to know rather restrict myself within sysadmin related big data and some theories. On this website, we have lot of tutorials and guides on Big Data and Data Science. This is one of the rare website where you’ll get complete idea around what basics must to know. You’ll see what I write that is what followed.
Many peoples searches for free courses and resources on Big Data. Not always all are restricted by budget but checking some free resources quickly may add some more idea of yet to learn things. Here is our very short guide on how to learn big data with free courses and resources. In order to master Big Data and Data Sciences :
- You need to know the proper websites
- You need to know what not to learn
- You need basic hands-on idea about managing basic server matters
- You need to know how to takes handwritten notes and plan
- You need to find resources and lists on Github
- You need to follow some peoples on Twitter, Github, LinkedIn to keep an eye on what they are doing
- Of course, you need to know some programming languages
- Many books are available on this earth for free of cost, someway
How To Learn Big Data : Free Courses and Resources
The University of Washington’s introductory course on Data Science available at Coursera which can be completed in 8 weeks with 10 to 12 hours’ study per week. This will covers the history, key techniques, key technologies including on MapReduce, Hadoop, traditional relational databases, designing experiments using statistical modeling, visualizing results etc :
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https://www.coursera.org/specializations/data-science |
The University of Harvard also has course on Data Science course available for free in the form of lectures as videos, and materials and homework assignments which are uploaded to the open source knowledge repository on Github. This will cover data wrangling, management, exploratory analysis, prediction and communication of results.
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http://cs109.github.io/2014/ |
Other Universities and companies do have courses on Coursera which has special provisions for those who can not afford to pay :
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https://www.coursera.org/specializations/big-data https://www.coursera.org/specializations/algorithms |
Other important courses from some universities are :
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http://vis.berkeley.edu/courses/cs294-10-sp11/wiki/index.php/CS294-10_Visualization https://in.udacity.com/course/big-data-analytics-in-healthcare--ud758 http://work.caltech.edu/lectures.html https://www.udemy.com/big-data-and-hadoop-essentials-free-tutorial/ http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=MachineLearning https://www.dataquest.io/home https://www.kdnuggets.com/data_mining_course/index.html |
It is almost mandatory to inform about courses and resources by IBM :
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https://www.ibm.com/developerworks/data/library/techarticle/dm-1205bigdatauniversity/index.html |
Previously we talked about free resources of IBM as server with SSH access and all needed softwares pre-installed with the name Demo Cloud.
I told you about Github lists, here is one such :
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https://github.com/onurakpolat/awesome-bigdata https://github.com/bulutyazilim/awesome-datascience |
