Checked online certain universities for Data Analysis or Data Sciences or Machine Learning or Computational Sciences courses. It isn't so widespread in UAE , sent some mails and inquired with some recently LinkedIn contacts.
Check this link for lot of good information on the path
http://www.mastersindatascience.org/careers/data-scientist/
Now on the learning R , seems cool esp. the vector factor , slowly I correlate similar data (eg. nos) and then classifying the similar data on a pattern (eg. days) and doing certain analysis on them to extract information.
I have taken this course. https://campus.datacamp.com/courses/free-introduction-to-r
Targeted towards the elite level, the CCP:DS is aimed at data scientists who can demonstrate advanced skills in working with big data. Candidates are drilled in 3 exams – Descriptive and Inferential Statistics, Unsupervised Machine Learning and Supervised Machine Learning – and must prove their chops by designing and developing a production-ready data science solution under real-world conditions.
Related Cloudera certifications include:
Check this link for lot of good information on the path
http://www.mastersindatascience.org/careers/data-scientist/
Now on the learning R , seems cool esp. the vector factor , slowly I correlate similar data (eg. nos) and then classifying the similar data on a pattern (eg. days) and doing certain analysis on them to extract information.
I have taken this course. https://campus.datacamp.com/courses/free-introduction-to-r
What Kind of Skills Will I Need?
Technical Skills
- Math (e.g. linear algebra, calculus and probability)
- Statistics (e.g. hypothesis testing and summary statistics)
- Machine learning tools and techniques (e.g. k-nearest neighbors, random forests, ensemble methods, etc.)
- Software engineering skills (e.g. distributed computing, algorithms and data structures)
- Data mining
- Data cleaning and munging
- Data visualization (e.g. ggplot and d3.js) and reporting techniques
- Unstructured data techniques
- R and/or SAS languages
- SQL databases and database querying languages
- Python (most common), C/C++ Java, Perl
- Big data platforms like Hadoop, Hive & Pig
- Cloud tools like Amazon S3
What About Certifications?
To avoid wasting time on poor quality certifications, ask your mentors for advice, check job listing requirements and consult articles like Tom’s IT Pro “Best Of” certification lists. Here are a few that focus on useful skills:
Certified Analytics Professional (CAP)
CAP was created in 2013 by the Institute for Operations Research and the Management Sciences (INFORMS) and is targeted towards data scientists. During the certification exam, candidates must demonstrate their expertise of the end-to-end analytics process. This includes the framing of business and analytics problems, data and methodology, model building, deployment and life cycle management.
Requirements:
- 5+ years of analytics work-related experience for BA/BS holder in a related area
- 3+ years of analytics work-related experience for MA/MS (or higher) holder in a related area
- 7+ years of analytics work-related experience for BA/BS (or higher) holder in an unrelated area
- Verification of soft skills/provision of business value by employer
- Agreement to adhere to Code of Ethics
Cloudera Certified Professional: Data Scientist (CCP:DS)
Hadoop Developer (CCDH)- Hadoop Admin (CCAH)
HBase Specialist (CCSHB)- New Link https://university.cloudera.com/content/de575 for CCP: Data Engineer
EMC: Data Science Associate (EMCDSA)
The EMCDSA certification tests your ability to apply common techniques and tools required for big data analytics. Candidates are judged on their technical expertise (e.g. employing open source tools such as “R”, Hadoop, and Postgres, etc.) and their business acumen (e.g. telling a compelling story with the data to drive business action).
Once you’ve passed the EMCDSA, you can consider the Advanced Analytics Specialty. This works on developing new skills in areas such as Hadoop (and Pig, Hive, HBase), Social Network Analysis, Natural Language Processing, data visualization methods and more.
SAS Certified Predictive Modeler using SAS Enterprise Miner 7
This certification is designed for SAS Enterprise Miner users who perform predictive analytics. Candidates must have a deep, practical understanding of the functionalities for predictive modeling available in SAS Enterprise Miner 7 before they can take the performance-based exam. This exam includes topics such as data preparation, predictive models, model assessment and scoring and implementation.
Related SAS certifications include:
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