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Data Analytics Essentials
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This badge earner has demonstrated a foundational knowledge of Data Analytics. The
individual can explain what is Data Analytics, list the key tools and technologies within the data
ecosystem, and has a conceptual understanding of the data analysis lifecycle. The badge earner
is also able to describe the technical and soft skills required to become a successful data
analyst.
Link to verify :Click here
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Data Visualization and Dashboard Essentials
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The badge earner has demonstrated a foundational knowledge of Data Visualization and
Dashboard creation using Microsoft Excel spreadsheets and IBM Cognos Analytics. The
individual can describe and create various types of charts and plots such as line plots, bar
charts, pie charts, histograms, treemaps, scatter charts & map charts. The badge earner has
also demonstrated the ability to generate interactive dashboards.
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Excel Essentials for Data Analytics
This badge earner has demonstrated a foundational knowledge of using Excel spreadsheets for
Data Analysis. The individual can perform basic spreadsheet tasks for entering and formatting
data, create formulae, prepare and wrangle data for analysis, and create pivot tables. The
badge earner has also demonstrated ability to work hands-on with Excel and complete an
exploratory Data Analysis project. |
Link to verify :Click here
Python for Data Science and AI |
This badge earner has the core skills in Python such as critical data structures, programming fundamentals and experience with core libraries for data science. They can apply this knowledge to work with data and develop applications for data science. The individual also has sufficient Python knowledge to work with Python libraries.
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Python Project for Data Science |
This badge earner demonstrates foundational Python skills for working with data. This includes: understanding the role of a Data Scientist / Data Anlayst ; applying Python fundamentals, working with Python data structures, and working with data in Python; and how to build a dashboard using Python and popular Python libraries using Jupyter notebook.
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