After completing the course, you will…
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Use Bash to quickly sort, search, match, replace, clean and optimise various aspect of a data set
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Use bash in processing real-world data sets (included)
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Use Bash commands and scripting
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Use Regular Expressions (RegEX) in Bash
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Use AWK programming language commands to tweak and format data
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Use SED and GREP to quickly search in large-scale data sets
This course starts with some practical bash-based flat file data mining projects involving:
- University ranking data
- Facebook data
- AU Crime Data
- Text Mining with Shakespeare-era Play and Poems
Who this course is for:
- Students who want to learn Bash and the command line to improve their career prospects
- Researchers who want to add Bash and other command line tools to their bag of tricks
- Scientists who want to learn to explore and analyze the data that their lab generates
- Journalists who want to polish their reporting by analyzing publicly-available datasets
- Anyone wants to deal with Big Data
Can I download Bash Shell Programming for Data Sciences: Animated course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Bash Shell Programming for Data Sciences: Animated course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.