Earn credits for Time series forecasting: Level 02

Criteria 

 

No. of credits 05
Mode of training Self-Learning + Doubt clearing (on demand)
Criteria to attain credits Successfully complete the assessment
Final Assessment Format Descriptive (coding) test in muLearn
No of question paper sets available 1 set
Assessment duration 5 days (open book)
Pass percentage 70%
Access/installations for taking test NIL
Does the assessment require answer script submission Yes
Mode of score collation Teams (Program PoC to coordinate)

Final Assessment – Rubrics & Weightage

 

Notebook Presentability/ Code quality (comments, modularized structure) – 10 marks
  • The codes written should have proper indentation, spacing and should enable the viewer to understand the execution intuitively. The codes should also be well commented to communicate the logic to the viewer.
 

 

EDA -10 marks
  • The data needs to be analyzed well enough to
    1. maximize insight into a data set;
    2. uncover underlying structure;
    3. extract important variables;
    4. detect outliers and anomalies;
    5. test underlying assumptions;
    6. develop parsimonious models;
    7. determine optimal factor settings.
 

Problem Solving approach– 10 marks

                           Insight callout/ Interpretation – 10 marks
  • The approach taken by the analyst should be the best possible approach available to tackle the problem he/she is faced with.

 

  • The analyst should be able to interpret the data and able to identify the possible outcomes that might arise while providing the solution.