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Sales
Be a Consultant in Sales
Be a Consultant in Sales
Curriculum
19 Sections
280 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
Requirements of Sales Consultant
13
2.0
1- Key Skills and Competencies
2.1
Sales Skills
2.2
Analytical Skills
2.3
Communication Skills
2.4
Strategic Thinking
2.5
2- Personal Attributes
2.6
Self-Motivation
2.7
Resilience
2.8
Adaptability
2.9
Integrity
2.10
3- Networking and Professional Development
2.11
Networking
2.12
Mentorship
Consulting Process and Frameworks
24
3.0
1- Overview of the Consulting Process
3.1
Discovery and Assessment
3.2
Analysis and Diagnosis
3.3
Solution Development
3.4
Implementation Planning
3.5
Execution and Monitoring
3.6
Evaluation and Feedback
3.7
2- Consulting Frameworks
3.8
SWOT Analysis
3.9
PESTLE Analysis
3.10
Porter’s Five Forces
3.11
BCG Matrix
3.12
3- Problem-Solving Methodologies
3.13
PDCA (Plan-Do-Check-Act)
3.14
DMAIC (Define-Measure-Analyze-Improve-Control)
3.15
4- Client Engagement and Relationship Management
3.16
Active Listening
3.17
Clear Communication
3.18
Building Trust
3.19
Managing Expectations
3.20
Stakeholder Management
3.21
Feedback Mechanisms
3.22
Case Studies
3.22
Rest
How to Use SWOT
49
4.0
1- Identify the Objective
4.1
Understanding the Purpose
4.2
Scope Identification
4.3
Determining the Subject
4.4
Setting Objectives
4.5
Tailoring the Analysis
4.6
Aligning with Goals
4.7
2- Gather Information
4.8
Financial Reports
4.9
Market Research
4.10
Customer Feedback
4.11
Competitor Analysis
4.12
Internal Assessments
4.13
Stakeholder Input
4.14
3- List Strengths (S)
4.15
Resources
4.16
Capabilities
4.17
Unique Selling Propositions (USPs)
4.18
Brand Reputation
4.19
Strategic Alliances
4.20
4- Identify Weaknesses (W)
4.21
Identify Internal Factors
4.22
Focus on Areas for Improvement
4.23
Developing Solutions
4.24
Documenting and Communicating Weaknesses
4.25
5- Explore Opportunities (O)
4.26
Market Trends
4.27
Emerging Technologies
4.28
Regulatory Changes
4.29
New Partnerships and Collaborations
4.30
Untapped Customer Segments
4.31
Monitoring and Adaptation
4.32
6- Identify Threats (T)
4.33
Competition
4.34
Economic Downturns
4.35
Changing Consumer Preferences
4.36
Regulatory Changes
4.37
Technological Disruptions
4.38
Market Shifts
4.39
Environmental Factors
4.40
Social and Cultural Shifts
4.41
Global Events
4.42
7- Evaluate and Prioritize
4.43
Assessing Significance
4.44
Interplay between Factors
4.45
Focus on Critical Aspects
4.46
Actionable Strategies
4.47
Case Studies
4.47
Rest
Data Collection and Analysis
4
5.0
Methods for Data Collection
5.1
Data Analysis Techniques
5.2
Tools and Software for Data Analysis
5.3
More Detailed Applications
Predictive Modeling with SPSS
9
6.0
1- Types of Predictive Models
6.1
Regression Models
6.2
Classification Models
6.3
2- Model Selection and Evaluation Criteria
6.4
Model Selection
6.5
Evaluation Criteria
6.6
When should I use them?
6.7
Case Studies
6.8
Rest
Tools and Technologies
4
7.0
Introduction to Analytics Tools
7.1
Overview of Business Intelligence Tools
7.2
Emerging Trends in Analytics Technologies
7.3
Case Studies
Data Types and Sources
17
8.0
1- Data Types
8.1
Structured Data
8.2
Unstructured Data
8.3
2- Data Sources
8.4
Internal Data Sources
8.5
External Data Sources
8.6
3- Data Collection Methods
8.7
Surveys and Questionnaires
8.8
Observation
8.9
Interviews
8.10
Sensor Data
8.11
Web Scraping
8.12
Transaction Data
8.13
Social Media Monitoring
8.14
Secondary Data Analysis
8.15
Case Studies
8.15
Rest
Cleaning and Transformation
25
9.0
1- Dealing with Missing Data
9.1
Identification of Missing Values
9.2
Removal of Missing Values
9.3
Imputation of Missing Values
9.4
Evaluate the Impact
9.5
Documentation
9.6
Iterative Process
9.7
2- Outlier Detection and Treatment
9.8
Identification
9.9
Removal
9.10
Transformation
9.11
Winsorizing
9.12
3- Data Normalization and Standardization
9.13
Normalization (Min-Max Scaling)
9.14
Standardization (Z-score Normalization)
9.15
Robust Scaling (IQR Scaling)
9.16
4- Feature Engineering Techniques
9.17
Binning/Discretization
9.18
One-Hot Encoding
9.19
Polynomial Features
9.20
Interaction Terms
9.21
Feature Scaling
9.22
Dimensionality Reduction
9.23
Case Studies
9.24
Rest
Exploratory Data Analysis (EDA) with SPSS
16
10.0
Introduction
10.1
1- Basic Statistical Analysis
10.2
Descriptive Statistics
10.3
Frequency Distribution
10.4
Central Tendency and Dispersion
10.5
Correlation Analysis
10.6
Inferential Statistics
10.7
2- Data Visualization Techniques
10.8
Histograms
10.9
Box Plots
10.10
Scatter Plots
10.11
Bar Charts
10.12
Heatmaps
10.13
Pie Charts
10.14
Line Chart
10.15
When should I use them?
Statistical analysis with SPSS
24
11.1
1- Descriptive Statistics
11.2
1-1 Measures of Central Tendency and Dispersion
11.3
Mean, Median, and Mode
11.4
Variability Measures
11.5
1-2 Frequency Distributions
11.6
Histograms
11.7
Percentiles and Quartiles
11.8
1-3 Probability Distributions
11.9
Normal Distribution
11.10
2- Inferential Statistics
11.11
2-1 Hypothesis Testing
11.12
Formulate Hypotheses
11.13
Conduct Statistical Tests
11.14
2-2 Confidence Intervals
11.15
3-1 Confidence Intervals
11.16
Confidence Interval for Mean
11.17
4-1 Regression Analysis
11.18
Simple Linear Regression
11.19
Multiple Regression
11.20
5-1 Correlation Analysis
11.21
Pearson Correlation
11.22
SPSS Functionality
11.23
When should I use them?
11.24
Case Studies
Prescriptive Analytics with SPSS
8
12.0
1- Optimization Techniques
12.1
Linear and Nonlinear Programming
12.2
Integer Programming
12.3
Goal Programming
12.4
2- Simulation Modeling
12.5
Monte Carlo Simulation
12.6
System Dynamics Modeling
12.7
Case Studies
Business Intelligence and Reporting
32
13.0
1- Dashboard and Visualization Design
13.1
1-1 Principles of Effective Data Visualization
13.2
Clarity and Simplicity
13.3
Relevance
13.4
Consistency
13.5
Interactivity
13.6
Storytelling
13.7
Use of Appropriate Visualization Types
13.8
Color Usage
13.9
Data Accuracy and Precision
13.10
1-2 Dashboard Development and Best Practices
13.11
Define Objectives
13.12
User-Centric Design
13.13
Performance Optimization
13.14
Responsive Design
13.15
Feedback Mechanisms
13.16
Regular Updates
13.17
Testing and ValidationC
13.18
2- Reporting Tools
13.19
2-1 Introduction to Reporting Tools
13.20
Tableau
13.21
Power BI (Microsoft Power BI)
13.22
2-2 Creating Dynamic and Interactive Reports
13.23
Data Connection
13.24
Report Design
13.25
Interactivity
13.26
Data Refresh and Automation
13.27
Collaboration and Sharing
13.28
Security and Access Control
13.29
Documentation and Training
13.30
Case Studies
13.31
Rest
Strategy Development
18
14.0
1- Strategic Thinking and Analysis
14.1
Vision and Mission Statement
14.2
SWOT Analysis
14.3
PESTLE Analysis
14.4
Porter’s Five Forces
14.5
2- Competitive Analysis and Benchmarking
14.6
Identifying Competitors
14.7
Analyzing Competitor Strategies
14.8
Benchmarking
14.9
3- Developing Strategic Recommendations
14.10
Setting Objectives
14.11
Strategy Formulation
14.12
Implementation Plan
14.13
Monitoring and Evaluation
14.14
Risk Management
14.15
Communication and Alignment
14.16
Case Studies
14.16
Rest
Project Management in Consulting
17
15.0
1- Project Planning and Scheduling
15.1
Define Project Scope
15.2
Work Breakdown Structure (WBS)
15.3
Estimate Time and Effort
15.4
Create a Project Schedule
15.5
2- Resource Allocation and Management
15.6
Identify Resources
15.7
Allocate Resources
15.8
Resource Leveling
15.9
Monitor Resource Performance
15.10
3- Risk Management and Mitigation Strategies
15.11
Identify Risks
15.12
Assess Impact and Likelihood
15.13
Develop Mitigation Strategies
15.14
Monitor and Control Risks
15.15
Case Studies
15.15
Rest
Communication and Presentation Skills
4
16.0
Effective Communication in Consulting
16.1
Crafting Compelling Presentations and Reports
16.2
Handling Client Meetings and Presentations
16.3
Case Stdies
Change Management
5
17.0
Understanding Change Management
17.1
Change Management Models
17.2
Implementing Change within Organizations
17.3
Case Stiudies
17.3
Rest
Ethics and Professionalism in Consulting
4
18.0
Ethical Considerations in Consulting
18.1
Professional Standards and Codes of Conduct
18.2
Handling Conflicts of Interest and Maintaining Integrity
18.3
Case Studies
Industry Focus
4
19.0
Healthcare Industry Overview
19.1
Tailoring Consulting Approaches
19.2
Rest
19.3
Consultant In Your Field
30 Minutes
6 Questions
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