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Do You Really Want To Become A 'Data Scientist'?
- Data Infrastructure: It supports data sharing, processing, and consumption. Distributed computing and cloud computing is most popular these days.
- Data Management: DBMS plays an important role to store structured and unstructured data sets. Since most of the business-related data is structured, SQL knowledge is still invaluable.
- Visualization: It is very important to communicate newly acquired insights into the leadership and rest of the organization so data visualization technologies play an equally important role.
- Fraud detection
- Social Media Analytics
- Online matchmaking or dating services
- Weather forecast
- Simulation
- Network Securityâ?¦etc.
- Classification - Labelling a group of data objects into a specific category.
- Prediction - Building a model that produces continuous or ordered values that form a trend.
- Clustering - Grouping similar data objects into a classâ?¦etc.
- Natural Language Processing - NLP refers to different ways for a computer to interact with humans through a natural language. Computer science, Artificial Intelligence (AI), Computer linguistics and Human-computer interaction (HCI) are different areas of NLP. Some of the NLP aspects which are specifically related to Data Science are Tokenization, parsing, sentence, segmentation and named entity recognition. Python programming language is very famous and a recommended tool for having well-developed NLP tools.
- Tokenization and Parsing: Isolate each symbol from a text and conduct a grammatical analysis
- Sentence segmentation: Separates one sentence from the other in a text.
- Named entity recognition: Identifies which text symbol maps to what types of proper names
- Machine Learning(Supervised & Unsupervised)
- Visualization - Multiple Software is already available in the market that offers comprehensive visualization tools for data scientist such as Tableau. But it is important to remember that Data Scientist always acts as a middleman between data pile up and decision makers.
- MCSE Business Intelligence Certification
- Cloudera Certified Professional or CCP data scientist
- Cloudera Certified Developer for Apache Hadoop or CCDH
- Cloudera Certified Administrator for Apache Hadoop or CCAH
- Cloudera Certified Specialist in Apache HBase or CCSHB
- EMC Data Science Associate (EMCDSA)
- EMC Data Center Architect or EMCDCA
- EMC Cloud Architect or EMCCA
- Oracle BI Implementation Specialist â?¦etc.
- Data Scientist must keep refreshing their knowledge to stay up to date. Attending conferences, workshops, peer networking, and continuing education are ways to stay updated.
- Cloud vendors like Amazon, IBM, and Google â?¦etc. makes it cheaper for companies to use cloud computing facilities instead of private in housed resources, which in turn increases the demand for Data Scientists. Even Data Scientist no longer worries about data infrastructure and management problems due to emerging online services.
- The importance of Machine Learning is growing especially deep learning taking advantage of neural networking is getting more traction.