Decision Making And Data Analysis
3.6 (23 ratings)
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Decision Making And Data Analysis

A detailed guided course on Decision Making, Data Analytics and Interpretation.
3.6 (23 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,733 students enrolled
Created by OrangeTree Global
Last updated 2/2016
English
Current price: $10 Original price: $20 Discount: 50% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 2 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I 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
View Curriculum
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 is the target audience?
  • 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.
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Curriculum For This Course
41 Lectures
01:51:10
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Structured Problem Solving
6 Lectures 17:23

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.

Preview 02:32

Answer all questions

What is Structured Problem Solving
3 questions

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.

Preview 02:06

Benefits of Structured Problem solving
3 questions

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.

Preview 04:47

Types of Problem Solving Methods
3 questions

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.

Preview 04:59

What Is The 8 step Problem Solving Approach?
3 questions

In this tutorial students will have a clear idea on real time scenarios when the 8 Step Approach is used and is most effective.

When Do We Use The 8 Step Approach?
00:50

In this tutorial students will have a clear understanding on PDCA cycle and all the steps involved in PDCA cycle.

What Is PDCA ?
02:09
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Develop Counter Measures
3 Lectures 10:13

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.

Evaluation of Ideas
02:57

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.

Cost and Benefit Analysis
03:49

In this tutorial students will have a knowledge on Evaluation Matrix along with its importance.

Evaluation Matrix
03:27

Evaluation of Ideas
3 questions
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Problem Solving Guide
4 Lectures 12:39

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.

Clarify The Problem
04:26

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

Breakdown The Problem
02:33

Cost and Benefit Analysis
3 questions

In this tutorial students will have a clear understanding on setting reasonable targets and the advantages of Setting a Target.

Target Setting
03:24

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.

Determine The Root Cause
02:16

Evaluation Matrix
3 questions
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Tools Used in Problem Solving
7 Lectures 14:23

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.

Multi-Disciplinary Team Work
02:18

Multidisciplinary Team Work Approach
2 questions

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.

Brain Storming
00:59

Brainstorming
1 question

At the end of this lecture students will have a clear understanding on 5 W and why is it useful.

5 W Analysis
02:07

5W Analysis
2 questions

At the end of this lecture students will have a clear idea on Pareto Analysis and the significance of Pareto Analysis.

Pareto Analysis
02:20

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.

Check Sheet
01:27

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.

Fish Bone
03:07

At the end of this lecture students will have a clear idea on what is Control Chart and why is it used in business.

Control Charts
02:05
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A3 Approach
2 Lectures 04:01

In this tutorial students will have a clear knowledge on A3 approach and its importance.

What is A3 approach?
02:45

A3 Approach
2 questions

In this tutorial students will have a clear understand on the benefits and the popularity of A3 approach and why it is preferred in the industry.

Why we use A3 approach?
01:16

Why We Use A3 Approach
1 question
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Quality Control
4 Lectures 10:49

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
01:15

Quality Control Tools
1 question

At the end of this lecture students will have a clear idea about histogram and how to visualize data in histogram.

Histogram
01:51

Histogram
1 question

At the end of this lecture students will have a clear idea on scatter diagram, its advantages and data visualization using scatter diagram.

Scatter Diagram
03:50

Fish Bone
4 questions

Scatter Diagram
2 questions

At the end of this lecture students will learn the technique and use of stratification.

Stratification
03:53

Stratification
1 question
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Data And Variables
8 Lectures 22:28

At the end of this lecture students will have a clear idea on Data and Variables and different types of data.

Data And Variables
04:21

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.

Properties Of Measurement
01:20

At the end of this lecture students will have a clear idea on Nominal, Ordinal, Interval & Ratio which constitute the Scales Of Measurement.

Scales Of Measurement
02:25

At the end of this lecture students will have a clear idea on Central Tendency, Mean, Median and Mode.

Central Tendency
03:05

At the end of this tutorial students will have a working knowledge on how to find mean, median and mode using Excel.

Central Tendency In Excel
02:40

At the end of this lecture students will have a clear idea on Range, Standard Deviation, Variance and Co Efficient Of Variation

Measures Of Dispersion
04:43

At the end of this tutorial students will be able to understand how to calculate standard deviation using excel.

Standard Deviation In Excel
01:51

At the end of this lecture, students will have a clear idea on location, Quartiles, Percentile and Decile

Measure Of Location
02:03
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Sampling And Hypothesis
5 Lectures 11:32

At the end of this lecture students will have a clear idea about sampling and different types of sampling used.

Sampling Techniques
02:42

Sampling Techniques
3 questions

At the end of this lecture students will have a clear idea on how to form hypothesis.

Forming Hypothesis
02:43

Forming Hypothesis
3 questions

At the end of this lecture students will have a clear idea on two important types of hypothesis called Null and Alternate hypothesis.

Null And Alternate Hypothesis
01:46

At the end of this lecture students will have a clear idea on Level Of Significance and its importance.

Level Of Significance
02:26

At the end of this lecture students will have a clear step by step idea about Testing Of Hypothesis.

P Value And Testing Of Hypothesis
01:55
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Statistical Inference
2 Lectures 07:42

At the end of this tutorial students will have a clear idea about T-Test.

T-Test
01:17

At the end of this tutorial students will have a clear hands on knowledge on how to calculate T-Test in Excel

T-Test In Excel
06:25

Null And Alternate Hypothesis
3 questions

Level Of Significance
3 questions

P Value And Hypothesis Testing
3 questions

T-Test
3 questions

T-Test In Excel
2 questions

Data And Variables
4 questions

Properties Of Measurement
3 questions

Scales Of Measurement
3 questions

Central Tendency
2 questions

Measure Of Dispersion
2 questions

Measure Of Location
2 questions

Clarify The Problem
3 questions

Breakdown The Problem
3 questions

What is PDCA
3 questions

Target Setting
3 questions

When Do We Use The 8 Step Approach?
1 question

Determine The Root Cause
3 questions

Pareto Analysis
3 questions

Check Sheet
2 questions

Control Charts
3 questions
About the Instructor
OrangeTree Global
3.6 Average rating
30 Reviews
2,872 Students
3 Courses
Analytics Trainer At OrangeTree Global.

We are a training academy providing Analytics training to students and working professionals across India. Our trainers are well versed in Analytics as well as several other programming languages like C,C++, Java,.Net etc and we help train our students so that they get a cutting edge over others in the technology platform. Our training modules are simple yet vast enough to cover all details of our program.