Data Science - Complete Track • Step 1 - Identify the business problem/value addition/question – ( Data Insights ) this has to be the starting point. • Step 2 - Data availability ( Data Governance ) - Have the structure of your data set defined – The real challenge starts here- o Do we have the data? o Do we have access to the required data? • Step 3 -Getting Data ( Data Mining / Data Pipeline ) – How to collect the data from different sources in the system • Step 4 - Data preparation (ETL / ELT) – Once you have data there will be lot of cleaning and preparation required, reduce/increase/combine/split the predictors, determine and eliminate outliers, populate missing values convert few categorical variables into numerical etc. • Step 5 –Exploratory Data Analysis (EDA) – In this step we do descriptive and diagnostic analysis of the existing data. We build multiple graphs that give us direction towards the next steps of predictive analytics. We migh
INTERACTIVE DASHBOARDS FOR DATA ANALYTICS
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- Analytics dashboards are visualization tools that give you an overview of key metrics.
- Makes it much easier to extract insights from analysis compared to looking at mere numbers.
- Analytics dashboards are tools for visualizing key metrics in your business.
- A great analytics dashboard is clear, customizable, intuitive.
Looker Studio Visualizations and Templates
Looker Studio Templates BYMARKETERS.CO
DASHBOARDS SAMPLES:
Smart Finance Dashboard v.3.3 | Powered by TillerHQ
PAKISTAN BANKING SECTOR "ADVANCES" REPORT FROM 2002 TO 2022
LOOKER STUDIO DASHBAORD DESIGN SAMPLES IN GOOGLE DRIVE
NOVYPRO
https://www.novypro.com/all_dashboards
https://www.novypro.com/project/revenue-margin-analysis-maillis
https://www.novypro.com/project/canadian-store-dashboard-power-bi
https://www.novypro.com/project/bikestore-dashboard-power-bi
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DATAPOOL ( SAMPLE DATA FILES )
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