Curriculum
- 19 Sections
- 292 Lessons
- 7 Weeks
Expand all sectionsCollapse all sections
- Introduction to Consulting4
- Becoming a Marketing Consultant needs25
- 2.11- Gain Practical Experience
- 2.2Internships
- 2.3Entry-Level Positions
- 2.42- Develop Essential Skills
- 2.5Analytical Skills
- 2.6Communication Skills
- 2.7Creativity
- 2.8Digital Marketing Proficiency
- 2.9Client Management
- 2.10Project Management
- 2.113- Stay Updated
- 2.12Industry Trends and Emerging Technologies
- 2.13Changes in Consumer Behavior
- 2.14Continued Learning
- 2.15Networking
- 2.164- Build a Portfolio
- 2.17Select Your Best Work
- 2.18Provide Context and Results
- 2.19Showcase Creativity and Innovation:
- 2.20Demonstrate Digital Marketing Skills
- 2.21Visual Presentation
- 2.22Keep it Updated
- 2.23Seek Feedback and Testimonials
- 2.245- Network
- 2.256- Consider Specialization
- Consulting Process and Frameworks24
- 3.11- Overview of the Consulting Process
- 3.2Discovery and Assessment
- 3.3Analysis and Diagnosis
- 3.4Solution Development
- 3.5Implementation Planning
- 3.6Execution and Monitoring
- 3.7Evaluation and Feedback
- 3.82- Consulting Frameworks
- 3.9SWOT Analysis
- 3.10PESTLE Analysis
- 3.11Porter’s Five Forces
- 3.12BCG Matrix
- 3.133- Problem-Solving Methodologies
- 3.14PDCA (Plan-Do-Check-Act)
- 3.15DMAIC (Define-Measure-Analyze-Improve-Control)
- 3.164- Client Engagement and Relationship Management
- 3.17Active Listening
- 3.18Clear Communication
- 3.19Building Trust
- 3.20Managing Expectations
- 3.21Stakeholder Management
- 3.22Feedback Mechanisms
- 3.23Rest
- 3.24Case Studies
- How to Use SWOT49
- 4.11- Identify the Objective
- 4.2Understanding the Purpose
- 4.3Scope Identification
- 4.4Determining the Subject
- 4.5Setting Objectives
- 4.6Tailoring the Analysis
- 4.7Aligning with Goals
- 4.82- Gather Information
- 4.9Financial Reports
- 4.10Market Research
- 4.11Customer Feedback
- 4.12Competitor Analysis
- 4.13Internal Assessments
- 4.14Stakeholder Input
- 4.153- List Strengths (S)
- 4.16Resources
- 4.17Capabilities
- 4.18Unique Selling Propositions (USPs)
- 4.19Brand Reputation
- 4.20Strategic Alliances
- 4.214- Identify Weaknesses (W)
- 4.22Identify Internal Factors
- 4.23Focus on Areas for Improvement
- 4.24Developing Solutions
- 4.25Documenting and Communicating Weaknesses
- 4.265- Explore Opportunities (O)
- 4.27Market Trends
- 4.28Emerging Technologies
- 4.29Regulatory Changes
- 4.30New Partnerships and Collaborations
- 4.31Untapped Customer Segments
- 4.32Monitoring and Adaptation
- 4.336- Identify Threats (T)
- 4.34Competition
- 4.35Economic Downturns
- 4.36Changing Consumer Preferences
- 4.37Regulatory Changes
- 4.38Technological Disruptions
- 4.39Market Shifts
- 4.40Environmental Factors
- 4.41Social and Cultural Shifts
- 4.42Global Events
- 4.437- Evaluate and Prioritize
- 4.44Assessing Significance
- 4.45Interplay between Factors
- 4.46Focus on Critical Aspects
- 4.47Actionable Strategies
- 4.48Case Studies
- 4.49RestC
- Data Collection and Analysis4
- Predictive Modeling with SPSS9
- Tools and Technologies4
- Data Types and Sources17
- 8.11- Data Types
- 8.2Structured Data
- 8.3Unstructured Data
- 8.42- Data Sources
- 8.5Internal Data Sources
- 8.6External Data Sources
- 8.73- Data Collection Methods
- 8.8Surveys and Questionnaires
- 8.9Observation
- 8.10Interviews
- 8.11Sensor Data
- 8.12Web Scraping
- 8.13Transaction Data
- 8.14Social Media Monitoring
- 8.15Secondary Data Analysis
- 8.16Case Studies
- 8.17Rest
- Cleaning and Transformation25
- 9.11- Dealing with Missing Dat
- 9.2Identification of Missing Values
- 9.3Removal of Missing Values
- 9.4Imputation of Missing Values
- 9.5Evaluate the Impact
- 9.6Documentation
- 9.7Iterative Process
- 9.82- Outlier Detection and Treatment
- 9.9Identification
- 9.10Removal
- 9.11Transformation
- 9.12Winsorizing
- 9.133- Data Normalization and Standardization
- 9.14Normalization (Min-Max Scaling)
- 9.15Standardization (Z-score Normalization)
- 9.16Robust Scaling (IQR Scaling)
- 9.174- Feature Engineering Techniques
- 9.18Binning/Discretization
- 9.19One-Hot Encoding
- 9.20Polynomial Features
- 9.21Interaction Terms
- 9.22Feature Scaling
- 9.23Dimensionality Reduction
- 9.24Case Studies
- 9.25Rest
- Exploratory Data Analysis (EDA) with SPSS16
- 10.1Introduction
- 10.21- Basic Statistical Analysis
- 10.3Descriptive Statistics
- 10.4Frequency Distribution
- 10.5Central Tendency and Dispersion
- 10.6Correlation Analysis
- 10.7Inferential Statistics
- 10.82- Data Visualization Techniques
- 10.9Histograms
- 10.10Box Plots
- 10.11Scatter Plots
- 10.12Bar Charts
- 10.13Heatmaps
- 10.14Pie Charts
- 10.15Line Chart
- 10.16When should I use them?
- Statistical analysis with SPSS24
- 11.11- Descriptive Statistics
- 11.21-1 Measures of Central Tendency and Dispersion
- 11.3Mean, Median, and Mode
- 11.4Variability Measures
- 11.51-2 Frequency Distributions
- 11.6Histograms
- 11.7Percentiles and Quartiles
- 11.81-3 Probability Distributions
- 11.9Normal Distribution
- 11.102- Inferential Statistics
- 11.112-1 Hypothesis Testing
- 11.12Formulate Hypotheses
- 11.13Conduct Statistical Tests
- 11.142-2 Confidence Intervals
- 11.153-1 Confidence Intervals
- 11.16Confidence Interval for Mean
- 11.174-1 Regression Analysis
- 11.18Simple Linear Regression
- 11.19Multiple Regression
- 11.205-1 Correlation Analysis
- 11.21Pearson Correlation
- 11.22SPSS Functionality
- 11.23When should I use them?
- 11.24Case Studies
- Prescriptive Analytics with SPSS8
- Business Intelligence and Reporting32
- 13.11- Dashboard and Visualization Design
- 13.21-1 Principles of Effective Data Visualization
- 13.3Clarity and Simplicity
- 13.4Relevance
- 13.5Consistency
- 13.6Interactivity
- 13.7Storytelling
- 13.8Use of Appropriate Visualization Types
- 13.9Color Usage
- 13.10Data Accuracy and Precision
- 13.111-2 Dashboard Development and Best Practices
- 13.12Define Objectives
- 13.13User-Centric Design
- 13.14Performance Optimization
- 13.15Responsive Design
- 13.16Feedback Mechanisms
- 13.17Regular Updates
- 13.18Testing and Validation
- 13.192- Reporting Tools
- 13.202-1 Introduction to Reporting Tools
- 13.21Tableau
- 13.22Power BI (Microsoft Power BI)
- 13.232-2 Creating Dynamic and Interactive Reports
- 13.24Data Connection
- 13.25Report Design
- 13.26Interactivity
- 13.27Data Refresh and Automation
- 13.28Collaboration and Sharing
- 13.29Security and Access Control
- 13.30Documentation and Training
- 13.31Case Studies
- 13.32Rest
- Strategy Development18
- 14.11- Strategic Thinking and Analysis
- 14.2Vision and Mission Statement
- 14.3SWOT Analysis
- 14.4PESTLE Analysis
- 14.5Porter’s Five Forces
- 14.62- Competitive Analysis and Benchmarking
- 14.7Identifying Competitors
- 14.8Analyzing Competitor Strategies
- 14.9Benchmarking
- 14.103- Developing Strategic Recommendations
- 14.11Setting Objectives
- 14.12Strategy Formulation
- 14.13Implementation Plan
- 14.14Monitoring and Evaluation
- 14.15Risk Management
- 14.16Communication and Alignment
- 14.17Case Studies
- 14.18Rest
- Project Management in Consulting17
- 15.11- Project Planning and Scheduling
- 15.2Define Project Scope
- 15.3Work Breakdown Structure (WBS)
- 15.4Estimate Time and Effort
- 15.5Create a Project Schedule
- 15.62- Resource Allocation and Management
- 15.7Identify Resources
- 15.8Allocate Resources
- 15.9Resource Leveling
- 15.10Monitor Resource Performance
- 15.113- Risk Management and Mitigation Strategies
- 15.12Identify Risks
- 15.13Assess Impact and Likelihood
- 15.14Develop Mitigation Strategies
- 15.15Monitor and Control Risks
- 15.16Case Studies
- 15.17Rest
- Communication and Presentation Skills4
- Change Management5
- Ethics and Professionalism in Consulting4
- Industry Focus (Optional)4
Rest
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