Description

Certification Name: Certified Tourism Data Analyst

Global Occupational Skill Standard – GOSS ID: GOSS/HT/CTDA/V1

Eligibility: Graduation or Equivalent or minimum 2 years of relevant experience (experience-based learners can directly enroll and certify).

Objective: The Certified Tourism Data Analyst course is designed to equip professionals with the skills and knowledge to collect, analyze, and interpret data relevant to the tourism industry. The program covers data collection methods, statistical analysis, data visualization, predictive modeling, market research, customer behavior analysis, and tourism trend forecasting. 

Certification: Within 5 days after Completion of Online Assessment.

Get ready to join the Journey to become a GSDCI Certified Professional  – International Certification and Assessment Body.

Steps to become a GSDCI Certified Professional:

Step 1: Select your certification you want to pursue.

Step 2: Click on get certified tab, new pop up window will open.

Step 3: Click on pay certification fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay certification fee, You will be redirected to payment gateway, pay fee by any available options like Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.

Step 6: After completion of online assessment, you can download your Certificate Immediately.

Assessment Modules:

Module 1: Introduction to Tourism Analytics and Data Literacy: Role of data in tourism planning, marketing, and operations, Types of tourism data: demographic, behavioral, transactional, Importance of data-driven decision-making in travel and tourism, Data sources in tourism: surveys, booking engines, social media, IoT, Understanding data types: structured, unstructured, and geospatial, Ethical data use, privacy considerations, and regulatory compliance (e.g., GDPR).

Module 2: Data Collection Methods and Tourism Data Sources: Primary vs. secondary data in tourism research, Tools for collecting data: online forms, mobile apps, CRM systems, Using Google Analytics, OTA platforms, and social media insights, Working with tourism statistics from government and global organizations (UNWTO, WTTC), Data acquisition through APIs, sensors, and geolocation tracking, Challenges in collecting accurate and real-time tourism data.

Module 3: Data Cleaning, Processing, and Visualization: Data cleaning techniques: handling missing values, duplicates, and inconsistencies, Structuring and organizing raw data for analysis, Introduction to Excel, Power Query, and data transformation tools, Visualization best practices using charts, maps, and dashboards, Using tools like Tableau, Power BI, or Google Data Studio in tourism, Interpreting trends, seasonality, and destination-specific metrics visually.

Module 4: Tourism Metrics, KPIs, and Performance Indicators: Key tourism performance indicators: ARR, RevPAR, occupancy rate, footfall, customer lifetime value, Measuring destination performance: arrivals, stay duration, satisfaction, spending, Analyzing traveler segments: leisure vs. business, local vs. international, Tracking digital engagement: website traffic, conversion rates, social media impact, Benchmarking with industry standards and regional averages, Creating tourism scorecards and executive reports.

Module 5: Predictive Analytics and Market Forecasting: Basics of forecasting methods: time-series, regression, machine learning, Predicting demand, tourist inflows, and booking patterns, Using historical data to inform pricing and promotional strategies, Visitor behavior prediction for itinerary and package customization, Applications of AI in tourism demand forecasting and sentiment analysis, Scenario modeling for risk management and crisis response planning.

Module 6: Strategic Applications and Reporting for Stakeholders: Building data-driven tourism strategies and policy recommendations, Customizing reports for tourism boards, travel agencies, and hotels, Presenting insights to non-technical stakeholders effectively, Data storytelling techniques to support marketing and investment decisions, Case studies of successful tourism analytics implementations, Career paths, certifications, and tools for professional growth as a tourism data analyst.

GSDCI Online Assessment Detail:

• Duration- 60 minutes.
• Number of Questions- 30.
• Number of Questions from each module: 5.
• Language: English.
• Exam Type: Multiple Choice Questions.
• Maximum Marks- 100, Passing Marks- 50%.
• There is no negative marking in any module.

Marking System:
S.No.	No. of Questions	Marks Each Question	Total Marks
1	10	5	50
2	5	4	20
3	5	3	15
4	5	2	10
5	5	1	5
	30		100
How Students will be Graded:
S.No.	Marks	Grade
1	91-100	O (Outstanding)
2	81-90	A+ (Excellent)
3	71-80	A (Very Good)
4	61-70	B (Good)
5	50-60	P (Pass)
6	0-49	F (Fail)

 

Benefits of Certification:

🌍 1. Global Recognition & Credibility – Stand out worldwide with a certification that opens doors across borders. Trusted by employers, respected by institutions, and recognized in over 100 countries.

📜 2. Quality Assurance through ISO Certification – Certified to global ISO standards, our programs deliver excellence, consistency, and a benchmarked learning experience that speaks for itself.

💼 3. Career Advancement & Employability – Enhances your resume and increases chances of promotions or job offers.

🤝 4. Non-Profit Trust Factor – Certifications from non-profit organizations are mission-driven rather than profit-driven.

📚 5. Access to Verified Learning & Resources – Often includes e-books, mock tests, and online support without hidden costs.

🔍 6. Transparency & Online Verification – Certifications come with a unique Enrolment ID for easy online verification by employers and institutions.

⏳ 7. Lifetime or Long-Term Validity – Certifications usually have lifetime validity or long-term recognition, reducing the need for frequent renewals.