Practitioners Course in Descriptive Predictive and Prescriptive Analytics
Online
8 WeeksQuick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Kanpur |
The Syllabus
- Introduction to analytics
- Differentiating descriptive, predictive, and prescriptive analytics, data mining vs data analytics
- Industrial problem solving process
- Decision needs and analytics, stakeholders and analytics, SWOT analysis
- Model and modeling process, modeling pitfalls, good modelers, decision models and business expectations,
- Different types of models – overview of context diagrams, mathematical models, network models, control systems models, workflow models, capability models
- Data and its types, phases of data analysis
- Hypothesis and data Scales, relations, similarity and dissimilarity measures
- Sampling process
- Types of sampling, sampling strategies, error mitigation
- Visualization of numeric data
- Visualization of non-numeric data
- Tools available for visualizations Hypothesis testing, pairwise comparisons, t-test, ANOVA
- Wilcoxon signed-rank test, Kruskal-Wallis test, A/B testing
- Data infrastructure
- Analytics and BI
- Data sources, data warehouse, data stewardship, meta data management Data and forecasting, super-forecasting, S-curve (lifecycle), moving average, exponential smoothing, error in forecasting Linear correlation, correlation and causality
- Spearman’s rank correlation, Linear regression, logistic regression, robust regression
- Hierarchical clustering (Euclidean & Manhattan), k-means clustering, Nearest neighbor
- Decision trees Basics, customer lifetime value, customer probability model
- Net promoter score, survival analysis Product lifecycle analysis, Ansoff’s matrix, competitive map
- Fundamentals of simulation, simulation types, Monte-Carlo simulation
Instructors
Articles
26 May'25, 09:45 AM
22 Jun'24, 08:11 AM
4 Mar'24, 05:03 AM
3 Jun'22, 05:57 AM
2 Mar'22, 08:48 AM
26 May'25, 09:45 AM
22 Jun'24, 08:11 AM
4 Mar'24, 05:03 AM
3 Jun'22, 05:57 AM
2 Mar'22, 08:48 AM