Decision Making And Data Analysis

A detailed guided course on Decision Making, Data Analytics and Interpretation.

Created byOrangeTree Global

Last updated 2/2016

English

What you'll learn

Understanding Data and have a clear concept on decision making process.
Have a sound knowledge on various problem solving tools and approaches.
Have a clear understanding on Data and Variables and various statistical concepts and some knowledge on MS Excel

Course content

9 sections • 41 lectures • 1h 50m total length

What is Structured Problem Solving?2:32
In this tutorial students will have a clear knowledge on Structured Problem Solving with the help of a case scenario.

This will help students to breakdown a problem into sub problems in order to understand the root cause of a situation.
What is Structured Problem Solving
Benefits of Structured Problem Solving.2:06
In this tutorial students will be able to understand in crisp points the benefits of Structured Problem Solving and the importance of Structured Problem Solving.
Benefits of Structured Problem solving
Types of problem Solving Methods.4:47
In this tutorial students will have a clear idea on the three most commonly used Problem Solving Methods. Broadly this tutorial will cover the Just Do It and DAMIC approach.
Types of Problem Solving Methods
What Is The 8 step Problem Solving Approach?4:59
In this tutorial students will have a clear idea on the 8 Step problem Solving Approach and also have clarity on each and every steps with the help of an example.

Each step here is explained based on a scenario and finally all the 8 step is reiterated with the help of a flow diagram.
What Is The 8 step Problem Solving Approach?
When Do We Use The 8 Step Approach?0:50
In this tutorial students will have a clear idea on real time scenarios when the 8 Step Approach is used and is most effective.
What Is PDCA ?2:09
In this tutorial students will have a clear understanding on PDCA cycle and all the steps involved in PDCA cycle.

Evaluation of Ideas2:57
In this tutorial students will have an in-depth knowledge on Develop Countermeasures wherein they will understand the importance of Evaluation of Ideas top solve a problem.
Cost and Benefit Analysis3:49
In this tutorial students will have a clear understanding on what is Cost Benefit Analysis and how it is to be used with the help of a real time example.
Evaluation Matrix3:27
In this tutorial students will have a knowledge on Evaluation Matrix along with its importance.
Evaluation of Ideas

Clarify The Problem4:26
In the tutorial students will have a clear idea to categorize the problem into either Type I, Type II or Type III and can have a better approach to solve a problem.
Breakdown The Problem2:33
In this tutorial students will understand the need to breakdown a Problem into Sub-Problems and why breaking into Sub-Problems help in Problem Solving
Cost and Benefit Analysis
Target Setting3:24
In this tutorial students will have a clear understanding on setting reasonable targets and the advantages of Setting a Target.
Determine The Root Cause2:16
In this tutorial students will have a knowledge on why it is essential to do a Root Cause Analysis along with the Tools used in Root Cause Analysis.
Evaluation Matrix

Multi-Disciplinary Team Work2:18
In this tutorial students will have a clear idea on breaking a Problem into Sub-Problems and then assigning specific team to solve Specific Problems.

They will understand the advantages and why is this approach necessary.
Multidisciplinary Team Work Approach
Brain Storming0:59
At the end of this tutorial students will have a clear knowledge on what is Brain Storming and why is it necessary to Brainstorm before addressing a problem.
Brainstorming
5 W Analysis2:07
At the end of this lecture students will have a clear understanding on 5 W and why is it useful.
5W Analysis
Pareto Analysis2:20
At the end of this lecture students will have a clear idea on Pareto Analysis and the significance of Pareto Analysis.
Check Sheet1:27
At the end of this lecture students will have a clear understanding on what is a Check Sheet and the importance of Check Sheet with practical example.
Fish Bone3:07
At the end of this lecture students will have a clear idea on Fish Bone Analysis and how to solve issues or problems with Fish Bone Analysis.
Control Charts2:05
At the end of this lecture students will have a clear idea on what is Control Chart and why is it used in business.

Quality Control1:15
This tutorial covers 4 quality control tools that was discussed in Section 4, in lectures 22, 23, 24 and 25. It is a requested that students please refer to the lectures to have an idea on the QC tools.
Quality Control Tools
Histogram1:51
At the end of this lecture students will have a clear idea about histogram and how to visualize data in histogram.
Histogram
Scatter Diagram3:50
At the end of this lecture students will have a clear idea on scatter diagram, its advantages and data visualization using scatter diagram.
Fish Bone
Scatter Diagram
Stratification3:53
At the end of this lecture students will learn the technique and use of stratification.
Stratification

Data And Variables4:21
At the end of this lecture students will have a clear idea on Data and Variables and different types of data.
Properties Of Measurement1:20
At the end of this lecture students will have a clear idea on Identity, Magnitude, Equal Interval & Absolute Zero which constitute the properties of measurement.
Scales Of Measurement2:25
At the end of this lecture students will have a clear idea on Nominal, Ordinal, Interval & Ratio which constitute the Scales Of Measurement.
Central Tendency3:05
At the end of this lecture students will have a clear idea on Central Tendency, Mean, Median and Mode.
Central Tendency In Excel2:40
At the end of this tutorial students will have a working knowledge on how to find mean, median and mode using Excel.
Measures Of Dispersion4:43
At the end of this lecture students will have a clear idea on Range, Standard Deviation, Variance and Co Efficient Of Variation
Standard Deviation In Excel1:51
At the end of this tutorial students will be able to understand how to calculate standard deviation using excel.
Measure Of Location2:03
At the end of this lecture, students will have a clear idea on location, Quartiles, Percentile and Decile

Sampling Techniques2:42
At the end of this lecture students will have a clear idea about sampling and different types of sampling used.
Sampling Techniques
Forming Hypothesis2:43
At the end of this lecture students will have a clear idea on how to form hypothesis.
Forming Hypothesis
Null And Alternate Hypothesis1:46
At the end of this lecture students will have a clear idea on two important types of hypothesis called Null and Alternate hypothesis.
Level Of Significance2:26
At the end of this lecture students will have a clear idea on Level Of Significance and its importance.
P Value And Testing Of Hypothesis1:55
At the end of this lecture students will have a clear step by step idea about Testing Of Hypothesis.

T-Test1:17
At the end of this tutorial students will have a clear idea about T-Test.
T-Test In Excel6:25
At the end of this tutorial students will have a clear hands on knowledge on how to calculate T-Test in Excel
Null And Alternate Hypothesis
Level Of Significance
P Value And Hypothesis Testing
T-Test
T-Test In Excel
Data And Variables
Properties Of Measurement
Scales Of Measurement
Central Tendency
Measure Of Dispersion
Measure Of Location
Clarify The Problem
Breakdown The Problem
What is PDCA
Target Setting
When Do We Use The 8 Step Approach?
Determine The Root Cause
Pareto Analysis
Check Sheet
Control Charts

Requirements

No prior knowledge on any Decision Based Topic or Software is needed.
A standard Laptop or Desktop or Tab with MS Office Installed is sufficient.

Description

This course is all about understanding Decision Making, Data Interpretation and Analysis through real time case scenarios and Practical Sessions.

All the video tutorials are in simple English and Technical jargon have not been used. Real life case scenarios have been used as examples to explain each and every topic.

This course has been made in length keeping in mind the broad array to topics that encompasses the entire Decision Making Ability and Data Interpretation. The entire course has been broken down into 30 Sections comprising of 103 tutorial videos giving a clear picture on the various features of Decision Making.

This entire course can be covered in 12 to 14 days depending on the speed of the students.

The entire course is broken down into several topics and each topic has a short video tutorial of 2 minutes explaining the topic in clear details.

This course is very helpful for students or working professionals or managers who has to take decisions in their workplace. This course will clearly guide them how they can take good decisions with the help of analyzing data. From this course they will understand optimal utilization of resources and several team work process which is critical in decision making process.

Who this course is for:

This course is highly recommended for all Data Analytics professionals, Software Consultants, Management Consultants in the field of Marketing and Finance.
This course is probably not for those who are looking for a basic level of understanding on Decision Making and Data Interpretation techniques.

Decision Making And Data Analysis

What you'll learn

Explore related topics

Course content

Structured Problem Solving6 lectures • 17min

Develop Counter Measures3 lectures • 10min

Problem Solving Guide4 lectures • 13min

Tools Used in Problem Solving7 lectures • 14min

A3 Approach2 lectures • 4min

Quality Control4 lectures • 11min

Data And Variables8 lectures • 22min

Sampling And Hypothesis5 lectures • 12min

Statistical Inference2 lectures • 8min

Requirements

Description

Who this course is for: