We are given scholarships to PMtutor’s Business Analytics Program, a unique quality improvement initiative course involving the Business function of any organization. We would take a Lean approach to the deployment of Lean Six Sigma (LSS) Program, realizing that many of our delegates who should be using statistical tools would not benefit from the full curriculum of a LSS belt course. We will be teaching Statistics tools that provide more value to customers and thus drive revenue – this course will be independent of the LSS DMAIC method, an approach that divides projects into five phases—define, measure, analyze, improve and control.
Above Picture: PMtutor Delegates using MINITAB software to model data
Who Should Attend?
Professionals working in the following area:
- Business Function like Sales, Marketing or Customer Service
- Project Monitoring and Control
- Cost Estimators
- Planning and Scheduling
- Risk Analysis and Management
- Data Analysis and Management
- Quality Assurance and Control
Benefit of Attending
- 4-days Classroom Interactive and Hands-On Classroom Training
- 1 Key Stone Project
- 2-Mini Case Study Projects before the class ends.
- Career and Job Placement Advice
- 48 PMI PDUs
- FREE MINITAB Software Training valued @ 150K Naira
Schedule
- Date: March 4th and 5th; April 1st and 2nd
- Time: 9am to 5pm Daily
How to enter for the scholarship
Write an essay of 250 words on “The importance of Statistics to the Nigerian State.”
Deadline for Submission
All essays with subject “Business Analytic Scholarship” must be sent to “pmtutor.ng [at] gmail [dot] org cc:support [at] pmtutor [dot] org” on or before February 26th, 2017.
Business Analytic Using MINITAB Course Content
- Descriptive Statistics and Graphical Analysis
- Types of Data
- Using Graphs to Analyze Data
- Using Statistics to Analyze Data
- Probability Distribution
- Normal Distribution
- Binomial Distribution
- Poisson Distribution
- Statistical Inference
- Sampling Distribution
- Sampling Error
- Central Limit Theorem
- Confidence Interval
- Estimating Population Mean using Small Sample Size
- Estimating Population Mean using Large Sample Size
- Estimating Sample Size
- Hypothesis Testing
- Steps to Conducting Hypothesis Test
- 1-Sample Z-test
- 1-Sample t-test
- 2-Sample t-test
- Paired t-test
- Variance test
- Proportion Test
- Chi Square Test
- Analysis of Variance (ANOVA)
- One-Way ANOVA
- Two-Way ANOVA
- Predictive Analysis
- Correlation
- Simple Linear Regression
- Multivariate Linear Regression
- General Linear Modeling
- Design of Experiments
- 2-Level and General Level Design
- Factorial Design
- Blocking and Incorporating center Points
- Fractional Factorial Design
- Response Optimization
- Measurement Systems Analysis
- Fundamental of Measurement System Analysis
- Repeatability and Reproducibility
- Graphical Analysis of Gage R&R Study
- Variation
- ANOVA with Gage R&R Study
- Gage Linearity and Bias Study
- Attribute Agreement Analysis
- Control Charts (Statistical Process Control)
- Types of variation
- Control Charts for Variable Date in Subgroups
- Control Charts for Individual Observation
- Control Charts for Attribute Data
- Process Capability
- Process Capability for Normal Data
- Capability Indices
- Process Capability for Non-normal Data
