Course OutComes.

Slides:



Advertisements
Similar presentations
Spreadsheet Analytics
Advertisements

Formulas and Function Course Overview Logical Functions Data and Time Functions Math Functions Trigonometric Functions Statistical Functions Text Functions.
T T20-00 Range Chart Control Limit Calculations Purpose Allows the analyst to calculate the "Range Chart" 3- sigma control limits based on table.
SpringerLink Training Kit
Luminosity measurements at Hadron Colliders
From Word Embeddings To Document Distances
Choosing a Dental Plan Student Name
Virtual Environments and Computer Graphics
BÖnh Parkinson PGS.TS.BS NGUYỄN TRỌNG HƯNG BỆNH VIỆN LÃO KHOA TRUNG ƯƠNG TRƯỜNG ĐẠI HỌC Y HÀ NỘI Bác Ninh 2013.
HF NOISE FILTERS PERFORMANCE
L-Systems and Affine Transformations
Bayesian Confidence Limits and Intervals
Current State of Japanese Economy under Negative Interest Rate and Proposed Remedies Naoyuki Yoshino Dean Asian Development Bank Institute Professor Emeritus,
Face Recognition Monday, February 1, 2016.
Summer Student Program First results
yaSpMV: Yet Another SpMV Framework on GPUs
Hui Wang†*, Canturk Isci‡, Lavanya Subramanian*,
داده کاوی سئوالات نمونه
Particle acceleration during the gamma-ray flares of the Crab Nebular
Advisor: Chiuyuan Chen Student: Shao-Chun Lin
On Robust Neighbor Discovery in Mobile Wireless Networks
Hui Wang†*, Canturk Isci‡, Lavanya Subramanian*,
Ch48 Statistics by Chtan FYHSKulai
Measure Twice and Cut Once: Robust Dynamic Voltage Scaling for FPGAs
What is Chemistry? Chemistry is: the study of matter & the changes it undergoes Composition Structure Properties Energy changes.
ارائه یک روش حل مبتنی بر استراتژی های تکاملی گروه بندی برای حل مسئله بسته بندی اقلام در ظروف
פרויקט מסכם לתואר בוגר במדעים (B.Sc.) במתמטיקה שימושית
Mitchell Cox University of the Witwatersrand, Johannesburg
Topic 5: Sequences and Series
Limits on Anomalous WWγ and WWZ Couplings from DØ
Plan for Day 4 Skip ahead to Lesson 5, about Mechanism Construction
Machine learning tehniques for credit risk modeling in practice
The new Estimands concept – an introduction and a worked example
Lower bounds against convex relaxations via statistical query complexity Based on: V. F., Will Perkins, Santosh Vempala. On the Complexity of Random Satisfiability.
2 INFN Sezione di Napoli, I-80126, Italy
Lecture 21.
Millikan's Oil Drop Experiment
Flow to Wells – 1 Steady flow to a well in a confined aquifer
The Marks of an Obedient Disciple-maker
Tradeoffs in contextual bandit learning
Abhinav Podili, Chi Zhang, Viktor Prasanna
Constraint-Aware Software-Defined Network for Routing
Instructor: Shengyu Zhang
Pricing products: Approaches and strategies
Lecture 3: Compressor Refrigeration Cycle Steam Cycle (4-8)
Magnetic Force.
HARPO at the NewSUBARU photon beam
Sensor for Mobile Robots
Chapter 16: Acid-Base Equilibria
Lecture 2 Money and inflation.
Type-based Verification of Electronic Voting Systems
Chapter 10. Cluster Analysis: Basic Concepts and Methods
+ = ? Mergeable Summaries Ke Yi HKUST Pankaj Agarwal (Duke)
Chapter 14 Optical Properties of Materials.
The Structure of Atoms.
西村美紀(東大) 他 MEGIIコラボレーション 日本物理学会 2016年秋季大会 宮崎大学(木花キャンパス)
Mathematical Formulas
Comparing Two Populations or Treatments with Significance Testing
Important Terms computers interconnected by communication network
Introduction to metabolomics and data integration
Week 10 - Friday CS 113.
Diverse Beam Search Ashwin Kalyan
Improving WASH for urban settings under stress of migrants
ITI 080 MS Excel Level I 9/21/2018 Copyright © Carl M. Burnett.
ITI 080 MS Excel Level I 11/11/2018 Copyright © Carl M. Burnett.
أ.إسراء الطريقي أ. هاله الشملان , 102 تقن , المعمل الخامس
ITI 091 MS Excel Level II 11/24/2018 Copyright © Carl M. Burnett.
Excel for Managers - II Faculty: S.Vinoth
ITI 091 MS Excel Level II 1/18/2019 Copyright © Carl M. Burnett.
ITI 080 MS Excel Level I 4/9/2019 Copyright © Carl M. Burnett.
Presentation transcript:

Course OutComes

Course: Excel for Managers II Batch : I MBA (2016 Batch) Course Outcomes Course: Excel for Managers II Batch : I MBA (2016 Batch) Faculty: S.Vinoth & Dr.N.Kanakaraj No. Course Outcome CO1 Understand advanced Excel functions like Named Ranges, Circular Referencing, Lookup, and Array Formula. CO2 Preparing Dynamic Charts using Advanced Charting techniques CO3 Preparing Dashboards for effective data representation CO4 Understand the basic Macro functions in Excel and Writing & Recording Macros CO5 Understand the basic of Statistics Functions and Analysis in Excel

Thank You