Data Analysis Details



Nseobot Afaha
Data Analyst
Data Analysis


  • Lectures 2
  • Tests 3
  • Guided Practice 6 hours
  • Duration 4 weeks
  • Skill level Beginner
  • Language English
  • Assessments Yes
Course Description

5 chapters of data analysis topics that prepares you for a career in data analysis.


Certificates will be issued to students. Performance will be indicated.

Learning Outcomes
  • Terms and concept of Data analysis, Business Intelligence and their impact
  • Gain knowledge of scope and application of Data analysis
  • How to solve data problems
  • Data distribution such as Tendency, variance
  • Statistical inferences and how to draw conclusions about a data population
  • Data cleaning
  • Forecasting, simple linear analysis
  • Pivot tables,charts, conditional formatting
  • Data presentations and reporting


Software you need: Microsoft Excel, SPSS


Nseobot Afaha
Data Analyst

Nseobot, is a data analyst and data analysis technical writer. She is analyzing business and community data using SPSS and other tools. She has deep interest in community building and innovations.

Sam Iso
Solution Architect

Sam is a Software Engineer with deep interest in finance, data, community, mental health and education. Sam is exploring his curiosity and creativity to match that with what the world needs.