Data Society
Academy

Fit For Your Company

Save time on planning and delivery by integrating a customized data academy into your organization. You’ll have an elite data training program that is tailored to you without recruiting instructors or developing content.

Map Your Teams' Skills

Build the right teams by evaluating your staff’s skills and interests with Data Society’s assessments.

Customize Your Training Pathways

Non-Technical

These 2 pathways are designed for individuals who don’t have a background in math or programming, want to receive a strong foundation in data science frameworks, and using data to make decisions.

Data Literate Professional

Outcomes:

  • Understand how data can be
    used to draw conclusions and
    make decisions
  • Develop a common data
    vocabulary
Data Literate Manager

Outcomes:

  • Understand how data can be
    used to draw conclusions and
    make decisions
  • Build and manage teams that
    execute predictive analytics & AI
    projects

Core Skills

These 4 pathways are designed for individuals who don’t have a background in math or programming and want to receive a strong foundation in data science frameworks, programming, and data science techniques.

Entry Data Analyst

Outcomes:

  • Fluency in Excel, data manipulation, and scenario analysis
  • Develop data visualizations and database querying
Data Analyst in R

Outcomes:

  • Fluency in R, automated data cleaning, and interactive data visualizations
  • Build data visualization dashboards and effectively communicate insights

Data Analyst in Python

Outcomes:

  • Fluency in Python, automated data cleaning, and interactive data visualizations
  • Build data visualization dashboards and effectively communicate insights
Data Scientist

Outcomes:

  • Find new patterns in data
  • Identify relationships
  • Forecast trends
  • Forecast outcomes

Specialist

These 4 pathways build upon the Core Skills pathway to develop data scientists with deep expertise in specialized fields such as predictive modeling, natural language processing, and network analysis.

Predictive Modeling

Outcomes:

  • Assign new data to groups, anticipate events and behaviors
  • Automatically generate text, recognize and classify images
Network Analyst

Outcomes:

  • Analyze communication and transportation networks
  • Find communities and patterns in networks

Entry NLP

Outcomes:

  • Automatically summarize bodies of text and extract key insights
  • Automatically classify documents and visualize text data
Advanced NLP

Outcomes:

  • Develop topic models and compare documents
  • Analyze sentiment and apply neural networks to advanced NLP

These 2 pathways are designed for individuals who don’t have a background in math or programming, want to receive a strong foundation in data science frameworks, and using data to make decisions.

Data Literate Professional

Outcomes:

  • Understand how data can be
    used to draw conclusions and
    make decisions
  • Develop a common data
    vocabulary
Data Literate Manager

Outcomes:

  • Understand how data can be
    used to draw conclusions and
    make decisions
  • Build and manage teams that
    execute predictive analytics & AI
    projects

These 4 pathways are designed for individuals who don’t have a background in math or programming and want to receive a strong foundation in data science frameworks, programming, and data science techniques.

Entry Data Analyst

Outcomes:

  • Fluency in Excel, data manipulation, and scenario analysis
  • Develop data visualizations and database querying
Data Analyst in R

Outcomes:

  • Fluency in R, automated data cleaning, and interactive data visualizations
  • Build data visualization dashboards and effectively communicate insights

Data Analyst in Python

Outcomes:

  • Fluency in Python, automated data cleaning, and interactive data visualizations
  • Build data visualization dashboards and effectively communicate insights
Data Scientist

Outcomes:

  • Find new patterns in data
  • Identify relationships
  • Forecast trends
  • Forecast outcomes

These 4 pathways build upon the Core Skills pathway to develop data scientists with deep expertise in specialized fields such as predictive modeling, natural language processing, and network analysis.

Predictive Modeling

Outcomes:

  • Assign new data to groups, anticipate events and behaviors
  • Automatically generate text, recognize and classify images
Network Analyst

Outcomes:

  • Analyze communication and transportation networks
  • Find communities and patterns in networks

Entry NLP

Outcomes:

  • Automatically summarize bodies of text and extract key insights
  • Automatically classify documents and visualize text data
Advanced NLP

Outcomes:

  • Develop topic models and compare documents
  • Analyze sentiment and apply neural networks to advanced NLP