Data Science

About This Course 

Tennessee State University’s  Summer Program in Data Science offers students of all ages, from middle school to adult learners, a front-row seat  t o the world of  data science and  big data.   This  is an introductory course  for all motivated learners who have  at least  a good understanding of mathematics at the middle school level  and willingness to harness the power of data science in their everyday lives.

High school students are going to be particularly benefited by this course.  Contents covered in the course may be  a good introduction to  a college level introductory statistics or data science course .   Adult learners will be able to acquire solid basic skills in data science to improve their efficiency both at work and at home.    Tennessee State University’s  Summer Program in Data Science offers students of all ages, from middle school to adult learners, a front-row seat  t o the world of  data science and  big data.   This  is an introductory course  for all motivated learners who have  at least  a good understanding of mathematics at the middle school level  and willingness to harness the power of data science in their everyday lives.

T ennessee State University Summer Course in  Data Science is  a  5-week, introductory level course with accompanying  video lectures, live sessions,  downloadable materials ,  and resources.  Participants will receive a  Certification of Completion and 4 CEUs  after successful completion.

Data Science Small Image

Fall/Winter Dates Coming Soon!

Flexible Schedule/Hybrid

$500.00 (includes all lecture materials, notes and data)

+

$29.99 (online resource for hands on practice and assessment)

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Topics Covered

  • Introduction to data science
  • Data types and measurements  
  • Introduction to population, sampling, and sampling methods  
  • Introduction to popular sources of useful data
  • Summary statistics & data visualization  
  • Confidence  intervals for means and proportions
  • Introduction to  useful Excel functions for data scienc e  
  • Introduction to data analysis  TOOLPAK  in  Microsoft Excel  
  • Doing data science in Google Sheet  – XLMINER  
  • An introduction to R Statistica l Package for data science  
  • Introduction to Dashboards:  Pivot tables , pivot charts,  and slicers  
  • Connecting and plotting geographical data  
  • Introduction to sampling and probability
  • Basics of making inferences and predictive anal ytics
  • Regression analysis
  • Time series and forecasting methods  

 

Structure and Delivery

  • All students will be enrolled through  Elearn  – Online Class
  • About 8-10 hours of effort required  course work  per week
  • 3 hours of video lectures per week
  • 5-7 hours of guided work and assignments per week
  • Minimum 70% score on all assessments  to earn the CEU s  

Required Software and Hardware:  

  • Laptop/Desktop computer with at least 4 GB RAM and 5 GB of free space
  • Microsoft Excel (installed version, NOT online)  
  • Recommended: A Gmail account with ability to use Google Sheet  

 

Please note, this class has a minimum enrollment number of 10. In the event the enrollment number is not met, we will make every effort to contact you by email or phone prior to the start date. Refunds will be issued if the course is canceled.