Data Expert Miner Course
Data Analyst / Research Analyst / Demand Generation Executive / CDQA
The “Data Mastery for B2B” course is a 21-day program that trains participants in data research, quality assurance, and management, with a focus on practical application in B2B contexts.
01
Data Research (Days 1-7)
Participants learn to source accurate data, use advanced search techniques, gather data ethically, and validate information for reliability.
02
Data Quality (Days 8-14)
Focusing on Excel, this segment teaches data validation, cleaning, and advanced analysis techniques, including pivot tables and key Excel functions.
03
Data Management (Days 15-21)
The final part covers data management using Excel and MIS, emphasizing data organization, sorting, deduplication, and advanced data analysis. Practical exercises and projects throughout the course ensure participants can apply these skills to real-world B2B scenarios.
40+ Modules
- Overview of industry concepts
- Key sectors and their significance
- Industry trends
- Course structure
- Learning outcomes
- Assessment methods
- Different levels of industry hierarchy
- Key departments and their roles
- Organizational structure
- Introduction of Prospecting
- What is prospecting?
- Techniques and tools for prospecting
- Importance in sales and marketing
- Introduction of Sales
- Basics of sales
- Sales processes and strategies
- Key concepts in sales
- Benefits of prospecting and sales knowledge
- Impact on career growth
- Real-world applications
- Overview of various platforms
- How they are used in the industry
- Key features and benefits
- Importance of industry specifications
- How to interpret and use them
- Examples of specifications
- Different types of specifications
- Use cases for each type
- Practical applications
- Overview of campaign types
- Planning and executing campaigns
- Success metrics
- Basics of data research
- Using industry specifications in research
- Data sources and tools
- Advanced research techniques
- Case studies
- Practical exercises
- Importance of geography in industry
- Geographical data analysis
- Applications in business
- Common job titles in the industry
- Roles and responsibilities
- Career progression
- Different industry types
- Characteristics and examples
- Market dynamics
- Categorizing companies by employee size
- Implications for business strategies
- Case studies
- Understanding revenue size classifications
- Financial metrics and analysis
- Business impact
- Different types of business emails
- Best practices for email communication
- Examples and templates
- Techniques for data gathering
- Tools for verification
- Practical exercises
- Understanding domain limits
- Impact on business operations
- Practical examples
- Contact-per-company (CPC) explained
- Setting CPC limits
- Case studies
- Data Formatting
- Basics of data formatting
- Tools and techniques
- Practical exercises
- Advanced formatting techniques
- Practical applications
- Case studies
- Introduction to Excel
- Basic functions and features
- Practical exercises
- Advanced Excel functions
- Data analysis with Excel
- Practical exercises
- Theoretical approaches to data gathering
- Tools and techniques
- Best practices
- Practical applications of data gathering
- Case studies
- Exercises
- Importance of data validation
- Techniques and tools
- Theoretical framework
- Practical exercises in data validation
- Tools and techniques
- Case studies
- Theoretical basis for data cleaning
- Importance and methods
- Best practices
- Practical data cleaning exercises
- Tools and techniques
- Case studies
- Introduction to conditional formatting
- Applications and examples
- Practical exercises
- Basics of text analysis
- Techniques and tools
- Practical exercises
- Advanced techniques in data analysis
- Tools and case studies
- Practical exercises
- Overview of Management Information Systems (MIS)
- Role of Excel in MIS
- Practical applications
- Methods of data collation
- Organizational techniques
- Practical exercises
- Techniques for sorting and filtering
- Practical applications in Excel
- Case studies
- Importance of data deduplication
- Techniques and tools
- Practical exercises
- Introduction to pivot tables
- Practical applications in data analysis
- Exercises and examples
- Advanced functions in Excel
- Applications in MIS
- Practical exercises
- Review of key concepts
- Practical exercises
- Preparation tips
- Exam format
- Key topics covered
- Assessment criteria
