Explore our skills catalogue for your hiring and assessment needs.
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Applications of deep learning
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Applying natural language processing with deep learning
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Building deep learning architectures
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Executing deep learning
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Framing deep learning
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Introduction to deep learning
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Preparing data for deep learning
Advanced Modeling – Machine Learning
- Deploying machine learning
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Executing machine learning
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Machine learning data
Artificial Intelligence
- Applying AI in organizations
- Designing human-centered AI products
- Evaluating AI product performance
- Introduction to boosting productivity with AI
- Prioritizing AI initiatives
Databases & Wrangling
- Applying OLAP/OLTP and implementing databases
- Data structure and formatting
- Describing data essentials
- Feature engineering
- Integrating and managing data
- Managing processing and workflow
- Selecting and working with databases and warehouses
Data Essentials
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Applying data storytelling
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Comparing methods
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Describing data essentials
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Designing charts
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Identifying data and methods
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Interpreting visuals
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Selecting visuals
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Using data
Data Quality
- Exploring and analyzing data
- Exploring data quality and structure
PySpark
- Exploring data with PySpark
- Modeling with PySpark
- Wrangling data with PySpark
Python
- Exploratory data analysis with Python
- Modeling with Python
- Working with Python
- Wrangling data with Python
Power BI
- Analyzing data with Power BI
- Reporting with Power BI
Spreadsheets
- Exploring data with spreadsheets
- Working with spreadsheets
- Wrangling data with spreadsheets
SQL
- Exploring data with SQL
- Working with SQL
- Wrangling data with SQL
Statistics
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Advanced modeling
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Applying classification and clustering
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Applying natural language processing
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Applying time series analysis
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Data exploration and description
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Hypothesis testing and inferential statistics
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Regression and predictive modeling
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Sampling techniques
Storytelling with Data
- Applying data storytelling
- Building data storytelling narratives
- Choosing data storytelling elements
- Connecting through data storytelling
- Defining data storytelling audience/purpose
- Designing Charts
- Designing visual narrative text
- Designing visual narrative
- Gathering data for storytelling
- Incorporating data in data storytelling
- Interpreting charts
- Presenting data stories
- Selecting visuals
- Structuring data storytelling narratives
Partial List of Additional Topics
- Applying data ethics
- Applying data to decision-making
- Citizen's guide to SQL
- Collecting data for statistical analysis
- Defining data roles
- Designing a statistical study
- Designing surveys
- Establishing data governance
- Establishing organizational data strategy
- Framing data problems
- Identifying chart types
- Interpreting metrics
- Interpreting statistical results
- Interpreting statistics
- Introduction to data wrangling
- Introduction to reading charts
- Introduction to visual literacy
- Managing data innovation
- Managing data projects
- Protecting your data
- Selecting data tools
- Shaping organizational data culture
- Uncovering the story in data
- Working with dashboards
We are continuously building new skills and can build custom skills upon request. If you require something not shown above, please reach out to support@quanthub.com .