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The courses covers all the essential elements of technology and the latest domain knowledge from Desktop to Data Center. In nine interactive modules students use text, video, and hands-on analytical exercises to master the fundamentals of sustainability for the IT industry and specific techniques for applying that knowledge.
The course content is essential knowledge for career success as Chief Sustainability Officer, Facility Manager. Architect and Building Design Engineer, Procurement and Purchasing Manager, and Corporate Social Responsibility leader. There is also increasing demand for professionals in Sales, Business Development, and Consulting who are knowledgeable about sustainability for IT.
a) Understand how Scrum relates to Agile software Development
b) Learn what Scrum is and its lifecycle as expressed in the Scrum Guide
c) A full overview of Scrum - The exact events, roles, rules and artifacts
a) Visualization Using Tableau
b) Tableau, Tableau server/online
c) Includes preparation for Global Tableau desktop certification
d) Power BI, Power BI pro server
r) Data manipulation Using Alteryx
a) User Experience, User Interface
b) Explore and use design tools like Sketch, Adobe XD or Figma
c) Create wireframes for mobile and desktop
d) End-to-end design project that includes each phase of the design process
Certification is awarded at three levels:Â Bronze, Silver, or Gold, for following computing best practices, from implementing computing power settings to using recycled paper.
Gold Level:Â Your department is making major efforts to reduce computing energy and is a great example for other departments.
Silver Level:Â Your department has taken extra steps to adopt greener computing practices. The hope is that program can keep working to be certified at the Gold level!
Bronze Level: Department has made the commitment to pursue greener computing practices. Continue to strive to reach Silver and Gold certification.
Sustainable IT Strategy:
IT Sustainability Maturity Assessment
IT Sustainability strategy, roadmap/blueprint
IT Operations Carbon footprint measurement
Basic Statistics:Â
Definition of Statistics, Data & Variables
Measures of Spread- Range, Interquartile Range, Variance, Standard deviation, Dispersion
Measures of Distribution functions – Symmetric (normal distribution), Skewness(Positively, Negatively), Kurtosis (Mesokurtic , Platykurtic, Leptokurtic)
Descriptive Statistics:
Qualitative – Frequency distribution, Relative Freq distribution, Percent Freq distribution,Cross Tabulation, Bar Graph, Pie Chart
Sampling – Random, Clustered, Sampling, Central Limit Theorem, Law of large Number, Variance & Distribution of Sample mean
Statistical Inference and Hypothesis Testing – Estimation – Point, Interval Estimation Hypothesis – Null, Alternative Hypothesis, Confidence Interval ,T, F, Z, Chi Sqr test, Types of error(Type-I Type-II), Decision, Level of Significance, Rejection Region , P-value, Dependent & Independent samples, Assumption of Paired T test, Goodness of fit, Degree of freedom, One way Anova Two way Anova (SST, SSW, SSG, F-Stats)
Cluster Analysis:
Cluster Analysis – K means, Hierarchical & Two Step – Agglomerative approach, Divisive approach, Dendrogram, Distance measuring technique (Single, Complete linkage, Ward Method), Proximity Matrix, RMSTD -Proc Standard, Proc Fastclus, Centeriod, Distance measuring technique (Euclidean, Manhattan, Cosine)
Forecasting – Area of Application, Time series components – (Trend,Seasonality, Cyclic and Random), AR/MA/ARMA/ARIMA Models
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