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Expert
Be a Consultant in Your Field
Be a Consultant in Your Field
Curriculum
18 Sections
267 Lessons
7 Weeks
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Collapse all sections
Introduction to Consulting
4
1.0
Understanding the Role of a Consultant
1.1
History and Evolution of Consulting
1.2
Types of Consulting
1.3
Key Skills and Competencies Required for Consulting
Consulting Process and Frameworks
24
2.0
1- Overview of the Consulting Process
2.1
Discovery and Assessment
2.2
Analysis and Diagnosis
2.3
Solution Development
2.4
Implementation Planning
2.5
Execution and Monitoring
2.6
Evaluation and Feedback
2.7
2- Consulting Frameworks
2.8
SWOT Analysis
2.9
PESTLE Analysis
2.10
Porter’s Five Forces
2.11
BCG Matrix
2.12
3- Problem-Solving Methodologies
2.13
PDCA (Plan-Do-Check-Act)
2.14
DMAIC (Define-Measure-Analyze-Improve-Control)
2.15
4- Client Engagement and Relationship Management
2.16
Active Listening
2.17
Clear Communication
2.18
Building Trust
2.19
Managing Expectations
2.20
Stakeholder Management
2.21
Feedback Mechanisms
2.22
Case Studies
2.22
Rest
How to Use SWOT
49
3.0
1- Identify the Objective
3.1
Understanding the Purpose
3.2
Scope Identification
3.3
Determining the Subject
3.4
Setting Objectives
3.5
Tailoring the Analysis
3.6
Aligning with Goals
3.7
2- Gather Information
3.8
Financial Reports
3.9
Market Research
3.10
Customer Feedback
3.11
Competitor Analysis
3.12
Internal Assessments
3.13
Stakeholder Input
3.14
3- List Strengths (S)
3.15
Resources
3.16
Capabilities
3.17
Unique Selling Propositions (USPs)
3.18
Brand Reputation
3.19
Strategic Alliances
3.20
4- Identify Weaknesses (W)
3.21
Identify Internal Factors
3.22
Focus on Areas for Improvement
3.23
Developing Solutions
3.24
Documenting and Communicating Weaknesses
3.25
5- Explore Opportunities (O)
3.26
Market Trends
3.27
Emerging Technologies
3.28
Regulatory Changes
3.29
New Partnerships and Collaborations
3.30
Untapped Customer Segments
3.31
Monitoring and Adaptation
3.32
6- Identify Threats (T)
3.33
Competition
3.34
Economic Downturns
3.35
Changing Consumer Preferences
3.36
Regulatory Changes
3.37
Technological Disruptions
3.38
Market Shifts
3.39
Environmental Factors
3.40
Social and Cultural Shifts
3.41
Global Events
3.42
7- Evaluate and Prioritize
3.43
Assessing Significance
3.44
Interplay between Factors
3.45
Focus on Critical Aspects
3.46
Actionable Strategies
3.47
Case Studies
3.47
Rest
Data Collection and Analysis
4
4.0
Methods for Data Collection
4.1
Data Analysis Techniques
4.2
Tools and Software for Data Analysis
4.3
More Detailed Applications
Predictive Modeling with SPSS
9
5.0
1- Types of Predictive Models
5.1
Regression Models
5.2
Classification Models
5.3
2- Model Selection and Evaluation Criteria
5.4
Model Selection
5.5
Evaluation Criteria
5.6
When should I use them?
5.7
Case Studies
5.8
Rest
Tools and Technologies
4
6.0
Introduction to Analytics Tools
6.1
Overview of Business Intelligence Tools
6.2
Emerging Trends in Analytics Technologies
6.3
Case Studies
Data Types and Sources
17
7.0
1- Data Types
7.1
Structured Data
7.2
Unstructured Data
7.3
2- Data Sources
7.4
Internal Data Sources
7.5
External Data Sources
7.6
3- Data Collection Methods
7.7
Surveys and Questionnaires
7.8
Observation
7.9
Interviews
7.10
Sensor Data
7.11
Web Scraping
7.12
Transaction Data
7.13
Social Media Monitoring
7.14
Secondary Data Analysis
7.15
Case Studies
7.15
Rest
Cleaning and Transformation
25
8.0
1- Dealing with Missing Data
8.1
Identification of Missing Values
8.2
Removal of Missing Values
8.3
Imputation of Missing Values
8.4
Evaluate the Impact
8.5
Documentation
8.6
Iterative Process
8.7
2- Outlier Detection and Treatment
8.8
Identification
8.9
Removal
8.10
Transformation
8.11
Winsorizing
8.12
3- Data Normalization and Standardization
8.13
Normalization (Min-Max Scaling)
8.14
Standardization (Z-score Normalization)
8.15
Robust Scaling (IQR Scaling)
8.16
4- Feature Engineering Techniques
8.17
Binning/Discretization
8.18
One-Hot Encoding
8.19
Polynomial Features
8.20
Interaction Terms
8.21
Feature Scaling
8.22
Dimensionality Reduction
8.23
Case Studies
8.24
Rest
Exploratory Data Analysis (EDA) with SPSS
16
9.0
Introduction
9.1
1- Basic Statistical Analysis
9.2
Descriptive Statistics
9.3
Frequency Distribution
9.4
Central Tendency and Dispersion
9.5
Correlation Analysis
9.6
Inferential Statistics
9.7
2- Data Visualization Techniques
9.8
Histograms
9.9
Box Plots
9.10
Scatter Plots
9.11
Bar Charts
9.12
Heatmaps
9.13
Pie Charts
9.14
Line Chart
9.15
When should I use them?
Statistical analysis with SPSS
24
10.1
1- Descriptive Statistics
10.2
1-1 Measures of Central Tendency and Dispersion
10.3
Mean, Median, and Mode
10.4
Variability Measures
10.5
1-2 Frequency Distributions
10.6
Histograms
10.7
Percentiles and Quartiles
10.8
1-3 Probability Distributions
10.9
Normal Distribution
10.10
2- Inferential Statistics
10.11
2-1 Hypothesis Testing
10.12
Formulate Hypotheses
10.13
Conduct Statistical Tests
10.14
2-2 Confidence Intervals
10.15
3-1 Confidence Intervals
10.16
Confidence Interval for Mean
10.17
4-1 Regression Analysis
10.18
Simple Linear Regression
10.19
Multiple Regression
10.20
5-1 Correlation Analysis
10.21
Pearson Correlation
10.22
SPSS Functionality
10.23
When should I use them?
10.24
Case Studies
Prescriptive Analytics with SPSS
8
11.0
1- Optimization Techniques
11.1
Linear and Nonlinear Programming
11.2
Integer Programming
11.3
Goal Programming
11.4
2- Simulation Modeling
11.5
Monte Carlo Simulation
11.6
System Dynamics Modeling
11.7
Case Studies
Business Intelligence and Reporting
32
12.0
1- Dashboard and Visualization Design
12.1
1-1 Principles of Effective Data Visualization
12.2
Clarity and Simplicity
12.3
Relevance
12.4
Consistency
12.5
Interactivity
12.6
Storytelling
12.7
Use of Appropriate Visualization Types
12.8
Color Usage
12.9
Data Accuracy and Precision
12.10
1-2 Dashboard Development and Best Practices
12.11
Define Objectives
12.12
User-Centric Design
12.13
Performance Optimization
12.14
Responsive Design
12.15
Feedback Mechanisms
12.16
Regular Updates
12.17
Testing and Validation
12.18
2- Reporting Tools
12.19
2-1 Introduction to Reporting Tools
12.20
Tableau
12.21
Power BI (Microsoft Power BI)
12.22
2-2 Creating Dynamic and Interactive Reports
12.23
Data Connection
12.24
Report Design
12.25
Interactivity
12.26
Data Refresh and Automation
12.27
Collaboration and Sharing
12.28
Security and Access Control
12.29
Documentation and Training
12.30
Case Studies
12.31
Rest
Strategy Development
18
13.0
1- Strategic Thinking and Analysis
13.1
Vision and Mission Statement
13.2
SWOT Analysis
13.3
PESTLE Analysis
13.4
Porter’s Five Forces
13.5
2- Competitive Analysis and Benchmarking
13.6
Identifying Competitors
13.7
Analyzing Competitor Strategies
13.8
Benchmarking
13.9
3- Developing Strategic Recommendations
13.10
Setting Objectives
13.11
Strategy Formulation
13.12
Implementation Plan
13.13
Monitoring and Evaluation
13.14
Risk Management
13.15
Communication and Alignment
13.16
Case Studies
13.16
Rest
Project Management in Consulting
17
14.0
1- Project Planning and Scheduling
14.1
Define Project Scope
14.2
Work Breakdown Structure (WBS)
14.3
Estimate Time and Effort
14.4
Create a Project Schedule
14.5
2- Resource Allocation and Management
14.6
Identify Resources
14.7
Allocate Resources
14.8
Resource Leveling
14.9
Monitor Resource Performance
14.10
3- Risk Management and Mitigation Strategies
14.11
Identify Risks
14.12
Assess Impact and Likelihood
14.13
Develop Mitigation Strategies
14.14
Monitor and Control Risks
14.15
Case Studies
14.15
Rest
Communication and Presentation Skills
4
15.0
Effective Communication in Consulting
15.1
Crafting Compelling Presentations and Reports
15.2
Handling Client Meetings and Presentations
15.3
Case Stdies
Change Management
5
16.0
Understanding Change Management
16.1
Change Management Models
16.2
Implementing Change within Organizations
16.3
Case Stiudies
16.3
Rest
Ethics and Professionalism in Consulting
4
17.0
Ethical Considerations in Consulting
17.1
Professional Standards and Codes of Conduct
17.2
Handling Conflicts of Interest and Maintaining Integrity
17.3
Case Studies
Industry Focus
4
18.0
Healthcare Industry Overview
18.1
Tailoring Consulting Approaches
18.2
Rest
18.3
Consultant In Your Field
30 Minutes
6 Questions
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