About the Course
Data Analysis is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
Topics CoveredWe cover Basis statistics: Population, sample, Graphical & Numerical representation. Mean, Median, Mode, Range, Variance, Standard deviation, IQR
Probability distribution: Binominal, Poisson, Uniform, Normal, Lognormal, Exponential, Etc Interpretation through Minitab
Process capability: Cp, Cpk, Pp, Ppk, process capability for discrete data, Zst, Zlt, Interpretation through Minitab
Basic quality tools: Histogram, Check sheet, Pareto, Cause and effect , Graphs, Scatter plots.
SPC: Xbar chart IMR Chart, C chart, U chart, NP chart etc
Live case study demonstration during classroom training
Who should attendPeople who are from Sales, Finance, Purchase, Quality, HR, legal, Corporate planning, Facilities & Admin, Training, Recruitment, Operations, Engineers, Corporate managers, Management students etc
What you need to bringNothing"
Key TakeawaysProblem Solving skills
Graphical representation of Analysis