Data Analytic Programs
Yesteryears’ trend suggests that the analysis of data have been more in improving operational processes like manufacturing, service provision, quality control and the likes. Literatures of data analysis are also tuned with the orientation to serve the purpose of operational excellence focused towards more of internal processes in the entire business processes. However, every businessman knows how important are the external influences on their processes and available analytical ability hardly succeeded to address the external concerns. Due to this, decisions to tackle external influences are often taken on intuition and perceptions. Many of such decisions often went counterproductive.
Current practices of developing business analytic to gather business intelligence are more focused towards tabular analysis and data visualization and less of even basic data analysis and scientific data mining activities requiring good depth of univariate and multivariate statistical techniques. Already known conclusions and wishful conclusions are presented in visual graphs and charts in many of the routinely exercised business analytic reports using quite costly `customized’ software! Discover unknown information from the available data, predict future with accuracy, and manage the knowledge of external environment impacting your business is a few key deliverables of business analytic. ISI, Pune’s Data Analysts and Miners are here to support you to reach out to these deliverables..
Who can enrole ?
Manager and above who would need to extract information from data, they routinely encounter from the areas such as Retail, Banking, BPO, IT, Sales & Marketing, Supply chain, Strategic management etc. We strongly recommend the participants to come from Mathematical and statistical background with acquaintance of data analysis software such as Minitab, JMP, R, SAS etc.
Data Analyst Certificate and ID Card will be issued after successful completion of Content Test and a Test of Presentation skill with >=70% marks in the test conducted on the last day of the session.
- Introduction to Data Analytic,
- Data Preparation
- Visual Analytics
- Exploratory Data Analysis (EDA)
- Classification (Regression, Logistic Regression, Tree-based modelling, ANN, SVM, Naïve Baye’s Classifier, Ensembling)
- Market Basket Analysis
- Time Series Analysis
- Case studies