Business Analysis and Data Visualization (copy)
  • Type Learning
  • Time Months
Additional Details

Business Analysis and Data Visualization (copy)

Issued by Talent Path

Earners of this designation are both proven critical thinkers and technologists who have demonstrated the knowledge required to use business analysis skills with data visualization tools, and present back valuable business insights. Individuals who earn this badge can apply their experience and industry knowledge, soft skills and emotional intelligence, and hands-on technology acumen to expedite information for key business decision makers.

  • Type Learning
  • Time Months
Additional Details

Skills

  • Advanced SQL
  • Agile
  • Building Dashboards
  • Business Analysis
  • Business Presentations
  • Business Process Modeling
  • Critical Thinking
  • Data Analysis
  • Data Mining
  • Data Visualization
  • Emotional Intelligence
  • Leadership
  • Microsoft Excel
  • Microsoft Power BI
  • Problem Solving
  • Tableau

Earning Criteria

  • Passed rigorous entry examinations and multiple rounds of personnel meetings to assess technological knowledge, practical capabilities, emotional intelligence, motivation, and adaptability.
  • Successfully engaged in 240-360 hours of virtual or in-person work-readiness training focused on the competitive modern technological business analyst employee who can deliver technological visualizations of business insights.
  • Verified proficiency in data mining, cleaning, analysis, and visualization using advanced training applications such as Microsoft Excel and SQL, Microsoft Power BI, ThoughtSpot, and SSRS and Tableau; extracting from multiple sources, creating reports, and dashboards.
  • Demonstrated, within a working group, the ability to produce in a highly collaborative environment, acting as lead and follower, giving and receiving feedback through weekly presentations to technical resources and executive leadership.
  • Completed multiple business case projects by interfacing with corporate executives to assess industry and market trends, applying research and technological skills, and proposing solutions shown through data visualization software.