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Data Scientists Activities.md

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Data Scientists Activities.md

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Data_Science
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  • Preparing or Cleansing Data (38%)
    • During [[Exploratory Data Analysis (EDA)]] Process on new data set, Analyzing:
      • Contents
      • Formats
      • Patterns
    • Scheduled [[Data Pipeline]] (Data Engineer Job): Sequence of software tasks that pull from multiple data sources and reformat or remove errors from the data so that it can be used for downstream tasks such as:
      • Visualizations
      • Reports
      • Model
  • Creating Reports, Presentations, Data Visualization (29%)
    • Extract Insight from data $\xrightarrow{\text{result into}}$ enable organization to monitor its operations + make better decisions
    • Analytics (Data Analytics Job)
    • Data Scientist make APIs call to provide data for variety analytics products (Meta Base, Power BI, etc.)
  • Selecting, Training, Deploying Models (27%)
    • Use [[Machine Learning]], [[Mathematical Model]] $\xrightarrow{\text{so}}$ make prediction / cluster data into groups / perform natural language processing / etc.
    • 2 types of API call in this part:
      • API consumers
        • API as an input source for ML model
      • API Producers (ML engineers)
        • Deploy their models as APIs for others to use
          • Internal consumer $\xrightarrow{\text{so}}$ Host API in their network
          • External consumer $\xrightarrow{\text{so}}$ Host API in over internet