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DATA SCIENCE SKILLS MATRICES
DATA SCIENCESKILLS MATRICES
S K I L L S M A T R I C E S
Course ID GE101 GE102 EXE101 EXE102
# of days 1 1 2 2
Pre-requisites N/A N/A N/A N/A
Understand how data can be used to draw conclusions and make decisions
Be aware of best practices for data collection
Understand how to check data for accuracy and quality
Be able to use descriptive statistics to understand patterns in data and leverage them to make decisions
Use Excel spreadsheets to perform basic data operations
Develop an understanding of data science & machine learning and their use cases
Communicate with data scientists and analysts effectively
Understand the pitfalls of using data
Know what to look for to avoid being mislead by numbers, measurements, visualizations & predictive models
Understand how quantitative approaches can be used to answer tough questions and inform critical decisions
Describe different tools that can be used for data analysis and visualization
Understand what AI tools can and cannot accomplish
Develop a team or organizational strategy for leveraging data and AI to solve the most pressing problems
Choose the correct tools, approaches and skills sets to build your data science team
Identify the best projects and efforts to pursue for generating ROI for your organization
Develop frameworks and project plans for AI projects and data-driven products
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The below table maps the skills and skill levels to the courses that we offer for staff who need to understand how to use and work with data, but may not be directly responsible for producing analyses.
S K I L L S M A T R I C E S
The below table maps the skills and skill levels to the courses that we offer, and creates learning paths for staff. As your staff advance in their skills, we can suggest tailored advanced topics that fit your use cases.
Course ID EXC101 EXC102 SQL101 PY101 PY102 R101 R102 R103
# of days 2 1 2 2 2 2 1 2
Pre-requisites N/A EXC101 N/A N/A PY101 N/A R101 R101, R102
Cleaning structured data
Summarizing / aggregating data
Visualizing data
Regression models & forecasting
Descriptive statistics
Scenario analysis
Working with databases
Automating data processing
Automating reports
Creating dashboards
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UCT
ORY
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MA
TRIX
S K I L L S M A T R I C E S
The below table maps the skills and skill levels to the courses that we offer, and creates learning paths for staff. As your staff advance in their skills, we can suggest tailored advanced topics that fit your use cases.
Course ID DS201 DS202 DS203 DS204 DS205 DS206 DS207 DS208
# of days 1 2 1 2 1 1 1 1
Pre-requisitesPY101/ R101
PY101/ R101
PY101/ R101, DS202
PY101/ R101, DS202
PY101/ R101
PY101/ R101, DS205
PY101 / R101, DS205-6
PY101/ R101
Sorting data & assigning data points to groups
Finding patterns
Understanding causal relationships
Variable selection models
Multiple regression models & regression with categoricalvariables
Forecasting models
Forecasting time-series & seasonal / cyclical data
Anticipate events & behavior
Cleaning text data & extracting key terms
Analyzing & vis. text data
Automatically summarize bodies of text
Compare document similarity
Automatically sort documents
Analyzing communication & transportation networks
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INTE
RMED
IATE
CO
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ILLS
MA
TRIX
S K I L L S M A T R I C E S
The below table maps the skills and skill levels to the courses that we offer, and creates learning paths for staff. As your staff advance in their skills, we can suggest tailored advanced topics that fit your use cases.
Course ID DS301 DS302 DS303 DS304 DS305
# of days 1 1 1 1 4
Pre-requisitesPY101 / R101,
DS205 - 7
PY101 / R101, DS205 – 7,
DS301
PY101 / R101, DS208
PY101 / R101, DS202,
DS204
PY101, DS202, DS204, DS304
Cleaning text data
Building a document recommendation system
Create automated tools for document comparisons
Automating document sorting & topic modeling
Sentiment analysis & public perception
Finding patterns in network data
Finding communities & analyzing communication networks
Sorting & assigning to groups
Variable selection models
Anticipate events & behavior
Computer generation of text
Automatic recognition and classification of objects in images
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Data Society is a Washington, D.C.-based analytics training and advisory firm that provides data science training to executives and data scientists to eliminate communication gaps, improve data quality, and increase efficiencies through data-driven decision-making.
We were founded by an expert educator and experienced data scientist to provide applicable and intuitive data science training to professionals. Every training we offer has been meticulously built and curated to teach the most relevant and powerful data science methods with step-by-step instructions and practical use cases.
Clients include:
Learn more: https://datasociety.com
Contact us: [email protected]
