How Data Science Is Applied
Now that you know what data science is, next up let us focus on the data science lifecycle. Data science’s lifecycle consists of five distinct stages, each with its own tasks:
- Capture: Data Acquisition, Data Entry, Signal Reception, Data Extraction. This stage involves gathering raw structured and unstructured data
- Maintain: Data Warehousing, Data Cleansing, Data Staging, Data Processing, Data Architecture. This stage covers taking the raw data and putting it in a form that can be used.
- Process: Data Mining, Clustering/Classification, Data Modelling, Data Summarization. Data scientists take the prepared data and examine its patterns, ranges, and biases to determine how useful it will be in predictive analysis.
- Analyse: Exploratory/Confirmatory, Predictive Analysis, Regression, Text Mining, Qualitative Analysis. Here is the real meat of the lifecycle. This stage involves performing the various analyses on the data.
- Communicate: Data Reporting, Data Visualization, Business Intelligence, Decision Making. In this final step, analysts prepare the analyses in easily readable forms such as charts, graphs, and reports.
Applications of Data Science
There are various applications of data science, including:Healthcare, Gaming, Image Recognition, Recommendation Systems, Logistics, Fraud Detection, Internet Search, Speech recognition, Targeted Advertising, Airline Route Planning, Augmented Reality
Educational Requirements
To qualify for an entry-level data scientist role, you'll most likely need a bachelor's degree in data science or a related field, such as computer science. But, some jobs may require a master's degree
Common certifications
Whether you want to get a certification through an approved university, gain more training as a recent graduate, improve vendor-specific abilities, or showcase your skills in data analytics, there's likely a useful certification program for you. The following are commonly acquired certifications for a career in data science:
- Cloudera Certified Professional (CCP) Data Engineer
- Dell EMC Data Science Track (EMCDS)
- Google Professional Data Engineer Certification
- IBM Data Science Professional Certificate
- Microsoft Certified: Azure Data Scientist Associate
- Open Certified Data Scientist (Open CDS)
- SAS Certified Data Scientist
- Tensorflow Developer Certificate
