Business Analytics with Digital Marketing Course | Zen Class
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Business and Marketing Analytics with AI Tools.

Business and Marketing Analytics with AI Tools

Business & Marketing Analytics is a pivot for transforming your business objectives into measurable actions! Identify, Leverage & Improvise dramatically with accurate business & marketing analytics and boost your career and business to benefit everyone.

Available in தமிழ், English & Hindi

3 Months Weekdays Batch | 6 Months Weekend.

Business & Marketing Analytics is a pivot for transforming your  business objectives into measurable actions! Identify, Leverage & Improvise dramatically with accurate business & marketing analytics and boost your career and business to benefit everyone.

Available in தமிழ், English & Hindi
Apply now & get ₹6,000 off!
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Grab a special offer at the end 🎁 

Duration

3 Months Weekday | 6 Months Weekend

Format

Online

Hiring Partners

100+ Companies

EMI Options

Upto 12 Months

Duration

3 Months Weekday | 6 Months Weekend

Format

Online

Hiring Partners

100+ Companies

EMI Options

Upto 12 Months

Why GUVI?

Why GUVI?

Our comprehensive program Business and Marketing  Analytics  with Artificial Intelligence Tools will help to gaze a wealth of insight into your marketing performance with the right tools and techniques in Analytics. This leading-edge Technological Program delivers the top-notch analytical skills that will enable you to stand out in the current business & marketing industry. 

Also Leveraging AI tools in the curriculum will make you stand out best fit into the current job & skill market.

Curated by Tech Professionals at GUVI and instructed by the industry’s best Subject-matter Experts, this Certification Program incorporates pedagogical tools focusing on industry expectations and trends and provides Placement Guidance.

We are accredited by

Why Business and Marketing Analytics with AI Tools?

In the data-driven world, massive amounts of data are collected on the requirements and behaviour of consumers. Business analytic tools can be used to tailor the marketing campaigns to the consumer’s expenditure, habits and preferences leveraging the best of all channels.

Program Overview

A program designed by Subject-Matter Experts

Weekend LIVE classes + Lifetime recorded videos

One-on-One with Mentors

Ask me anything sessions with Industry Experts

Globally Recognized Certification from GUVI

A digital portfolio through "Github"

Up-to 12 Months EMI

7 Day Preboot refund policy

Placement Guidance

A digital portfolio through "Github"

Upto 24 months of EMI options available

7-day Refund Policy

 Placement Guidance

A program designed by Subject-Matter Experts

Weekend LIVE classes + Lifetime recorded videos

One-on-One with Mentors

Ask me anything sessions with Industry Experts

Globally Recognized Certification from GUVI

A digital portfolio through "Github"

Upto 24 months of EMI options available

7-day Refund Policy

A digital portfolio through "Github"

Up-to 12 Months EMI

7 Day Preboot refund policy

Placement Guidance

Program Eligibility

Program Eligibility

Any Student, Graduate, Working Professional From Any Background who have keen interest to study business & marketing analytics with AI Tools are eligible to pursue the course.

Professionals & Entrepreneurs looking to acquire comprehensive skills in management.

Aspirants who wish to re-enter the workforce after a career break

Social Media Influencers

Any Student, Graduate, Working Professional From Any Background who have keen interest to study business & marketing analytics with AI Tools are eligible to pursue the course.

Professionals & Entrepreneurs looking to acquire comprehensive skills in management.

Aspirants who wish to re-enter the workforce after a career break

Social Media Influencers

Become a Certified Masters in Business and Marketing  Analytics with AI Tools Specialist.

Become a Certified Business and Marketing  Analytics with AI Tools Specialist.

Our Awards & Achievements

"Most Trusted Vernacular Edtech Brand" 

Awarded by ZEE Digital during ZEE National Achievers Awards 2022.

AI-for-India 1.0 -  Guinness World Record Holder

Broke the Record for most users taking an online computer programming lesson in 24 Hrs.

"Best Online Personalised Learning Programs" 

Awarded by ENTREPRENEUR INDIA for having the best online personalized learning programs

Learn from Industry Experts

Learn from Industry Experts

Get personalized mentorship and guidance from several Industry experts who work in leading companies

Curriculum

Curriculum

Get a peek through the entire curriculum designed that ensures Placement Guidance

Introduction to Analytics - 2 hrs

This curriculum provides a comprehensive introduction to business analytics, covering foundational concepts, models, roles, and the distinction between Analytics and Analysis.

  • Introduction to Business Analytics
  • Analytics vs Analysis
  • Types of Analysis & Analytics
  • Models in Business Analytics
  • The Analytics Lifecycle (Problem Definition, Data Collection, Data Cleaning and Preparation, Data Analysis, Interpretation of Results and Decision Making.)
  • Roles and Responsibilities in Business Analytics

Capstone Project 1:  Myntra Analysis

Data Wrangling in Excel - 5 hrs

This module introduces fundamental Excel functionalities, including data searching and filtering, formula usage, data merging, pivot chart creation, and text function-based data cleaning and advanced Excel features;Also you will learn to integrate ChatGPT with Excel.

  • Importance of Excel in Business Analytics
  • Basic Excel Functionalities
  • Searching and Filtering Data
  • Excel Formulas
  • Merging Data in Excel
  • Data Entry Techniques, Data Validation Rules, Handling Errors and Inconsistencies
  • Data Cleaning Tools: Find and Replace, Text to Columns
  • Pivot Charts in Excel
  • Cleaning Data with Text Functions
  • VLOOKUP, HLOOKUP, INDEX-MATCH
  • Logical Functions (IF, AND, OR, Nested IF
  • Statements and Conditional Formatting)
  • Statistical Functions (AVERAGEIFS, COUNTIFS, SUMIFS)
  • Text Manipulation Functions (CONCATENATE, TEXTJOIN)

Capstone Project 2:  Hiring process analysis

Advance & Data Visualization in Excel - 6 hrs

This module will help you gain the skills and knowledge to leverage Excel's data visualization capabilities to communicate insights and trends in data effectively.

  • Advanced Excel Functions, Formulas and Features
  • Reading Complex JSON Files
    Styling Tabulation
  • Distribution of Data: Histogram, Box Plot
  • Pie Chart, Donut Chart
  • Stacked Bar Plot, Relative Stacked Bar Plot
  • Stacked Area Plot, Scatter Plots
  • Bar Plot, Continuous vs. Continuous Plot
  • Line Plot
  • Combo Charts and Dual Axis Charts
  • Conditional Formatting with Charts
  • Introduction to Power View and Power Map
  • Introduction to Macros and VBA
  • Using ChatGPT to Generate Insights and
  • Summaries from Excel Data
  • AI-powered Excel Add-ins
  • Automating tasks using ChatGPT

Capstone Project 3: Ecommerce sales and customer insight analysis

Data Modeling & SQL Fundamentals - 6 hrs

This module covers fundamental concepts and techniques necessary for querying and manipulating data in a database management system (DBMS).

  • Database Introduction and Installation
  • What is Internal and External Data Sources
  • What is Structured vs. Unstructured Data
  • What is SQL, NoSQL and its Differences
  • Data Modeling concepts (Entity-Relationship Diagrams) and Normalization
  • ACID Transactions and Data Types
  • Data Definition Language (DDL) and Data
  • Manipulation Language (DML)
  • Data Control Language (DCL) and Transaction Control Language (TCL)
  • SQL Constraints and Operators
  • Clauses in SQL (Where, Having, Group By, Order By)

Capstone Project 4:   Electronic products revenue analysis

Advanced SQL Techniques - 6 hrs

This module covers SQL essentials like joins, functions (mathematical, conversion, general, date/time, numeric/string), conditional expressions, subqueries, and rank/window functions.

  • Joins (Inner, Left, Right, Full, Equi, Non-Equi, Self)
  • Mathematical Functions
  • Conversion Functions
  • General Functions
  • Conditional Expressions
  • Date and Time Functions
  • Numeric and String Functions
  • Subqueries
  • Rank and Window Functions
  • Working with Google BigQuery

Capstone Project 5:  Health Care Analysis

Statistics Fundamentals - 6 hrs

This module covers key statistical concepts such as descriptive statistics, probability, inference, hypothesis testing, estimation techniques, and identifying relationships between datasets.

  • Descriptive Statistics: Central Tendency (Mean, Median, Mode) and Dispersion (Variance, Standard Deviation)
  • Probability Concepts
  • Statistical Inference
  • Learn statistical tests like T-tests, ANOVA, and Chi-Square
  • Hypothesis Testing & A/B Testing
  • Time Series Analysis
  • Estimation Techniques: Point Estimation and Interval Estimation
  • Finding Statistical Relationships Between Sets of Data

Capstone Project 6: Marketing Campaign Effectiveness

Data Visualization: PowerBI - 7 hrs

This module covers Power BI essentials, including importing and cleaning data, modeling relationships, using DAX for calculations and measures, advanced visualization, time intelligence functions, and publishing options.

  • Power BI Overview and Components
  • Importing Data into Power BI from Various Sources
  • Data Transformation and Cleaning using Power Query Editor
  • Modeling Data Relationships in Power BI
  • Introduction to DAX Functions and Calculated Columns
  • Creating Custom Measures and KPIs in Power BI
  • Advanced Visualization Techniques (Heat Maps, Tree Maps, Scatter Plots)
  • Working with Time Intelligence Functions in DAX
  • Power BI Publishing and Sharing Options
  • Data Storytelling and Dashboard Design
  • Power BI with AI Insights

Capstone Project 7:  Swiggy analysis,  and IPL Analysis

Data Visualization: Tableau- 7 hrs

This module covers the fundamental concepts and functionalities of Tableau, enabling you to create interactive and insightful visualizations from various data sources. 

  • Introduction to Tableau and Its Components
  • Connecting to Data Sources in Tableau
  •  Data Preparation and Transformation in Tableau Prep Builder
  • Building Basic and Advanced Visualizations
  • Implementing Interactive Dashboards
  • Introduction to Tableau Calculations
  • Geospatial Analysis and Mapping
  • Using Tableau's Forecasting Features
  • Introduction to Tableau Server and Tableau Online
  • Understanding the use of AI in Power BI
  • AI analysis in Power BI using chart
  • Geographic Data Visualization (using Tableau/Power BI)

Capstone Project 8: Disney+Hotstar Analysis, Finance

Predictive Analytics - 6 hrs

This  module delves into the realm of predictive modeling techniques, equipping you with the knowledge and skills to forecast future trends and outcomes based on historical data. 

  • Introduction to Predictive Analytics and Machine Learning
  • Types of Machine Learning Problems
  • Introduction to Regression Analysis
  • Supervised vs. Unsupervised Learning
  • Algorithms: Linear Regression, Logistic Regression, Decision Trees
  • Implementing Regression using Excel
  • Interpretation of Regression Models
  • Introduction to Clustering
  • Exploring Excel Add-ins for Predictive Analytics

Capstone Project 9: Quick Commerce: Predictive Sales Forecasting Using Regression (Use historical sales data to predict future sales trends for a quick commerce company.)

Banking: Predicting Loan Default Risk
Objective: Use customer and financial data to predict the likelihood of loan defaults.

RFM Analysis for Marketing - 4hrs

In this module, we will gain a foundational understanding of RFM with RFM analysis for customer segmentation and a case study to help you understand better.

  • Introduction to RFM
  • Business Use Cases
  • RFM analysis for customer segmentation
  • Targeting Strategy across Segments
  • Case Study: RFM Analysis of Grocery Store Customers

Capstone Project 10: Marketing Campaign Effectiveness Evaluation (Assess past marketing campaigns by analyzing responses from different RFM segments).

Learn Top Tools & Technologies

Learn Top Tools & Technologies

Benefits of GUVI's Zen Class

Benefits of GUVI's Zen Class

LIVE Online Classes

One-on-One with Mentors

Refundable Demo Classes

Industry oriented Projects

₹21 Lakhs Highest Salary 

200+ Hiring Partners

EMI options available

Ask me anything sessions

Designed by Industry experts

Certification from GUVI

175% Highest Hike

3 Months | Weekday & 6 Months | Weekend LIVE classes + Lifetime recorded videos

3 Months (Weekday)  |  6 Months (Weekend)  |  LIVE classes + Lifetime recorded videos

Perks on Course Completion 

Industry- Recognized Certification

Business & Marketing Analytics with Artificial Intelligence Tools assures you a rewarding course completion certification. Make sure to complete all the projects and pass the assessments with minimum passing marks.

Industry- Recognized Certification

Business & Marketing Analytics with Artificial Intelligence Tools assures you a rewarding course completion certification. Make sure to complete all the projects and pass the assessments with minimum passing marks.

How will I benefit from this certification?

Hands-On Experience with Tools like : Excel, SQL, PowerBI, Tableau, ChatGPT, Semrush, Yoast, Google Tag Manager etc…

Exposure Across 7+ Industry Verticals like: IT,ITES,BFSI & many more..

Understanding The Application Of Artificial Intelligence Tools in Business & Marketing Analytics.

Digital Marketing fundamentals & Expertise in Business Data Analytics & Predictions

Solid Foundation in Data-driven Business Methodologies 

Globally recognized Certification

Compliment your abilities in Interviews

Honor your skills on LinkedIn

Project a career growth 

How will I benefit from this certification?

Hands-On Experience with Tools like : Excel, SQL, PowerBI, Tableau, ChatGPT, Semrush, Yoast, Google Tag Manager etc…

Understanding The Application Of Artificial Intelligence Tools in Business & Marketing Analytics.

Solid Foundation in Data-driven Business Methodologies 

Compliment your abilities in Interviews

Exposure Across 7+ Industry Verticals like: IT,ITES,BFSI & many more..

Digital Marketing fundamentals & Expertise in Business Data Analytics & Predictions

Globally recognized Certification

Honor your skills on LinkedIn

Project a career growth 

How does it work?

As a skilled professional and a Guvian bolstered for you to stand a genuine chance of landing your dream job!

Enroll in our Business Analytics Program
Attend Live classes + Pursue self-paced learning
Complete the projects assigned by Industry Experts
Secure a Digital Portfolio in “Github”
Attend Mock Interviews with our HR team & Technical Round with Industry Experts
Receive placement guidance
Enroll in our Master Business Analytics Program 
Attend Live classes + Pursue self-paced learning
Complete the projects assigned by Industry Experts
Secure a Digital Portfolio in “Github”
Attend Mock Interviews with our HR team & Technical Round with Industry Experts
Receive placement guidance

Pay just ₹8000 (Refundable) and Pre-Book your seat

Program Fee
₹1,00,000 ₹94,999/-
(incl. taxes)

Start learning today & Pay in easy EMIs! Get maximum flexibility to learn at your own pace. EMI Options available!

Introductory Offer! - Get Flat Rs 5000 OFF valid till

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GUVI Learners Review

GUVI Learners Review

“Guvi offers a cordial, supportive and friendly environment to learners. With excellent support and 24*7 assistance from the mentors guvi does not leave any stone unturned to improvise your learning. Thanks for being such an inspiration to us.”

Author
Gokak Mohd Ishtiyaque

“Hello folks, if you are thinking of a career transition then, “GUVI” is the best platform to get nourished, indulged and protruded in this upcoming field and also, it doesn’t matter from which engineering background you are or whether you are a working fellow. The best thing I found here is you will always get motivated unknowingly and become curious to learn more & more from the tutorial videos conducted by the IITM professors. GUVI helps me to think about the problem in multidimensional ways. Thanks to the GUVI team”

Author
Shubham Nehete

“They are very approachable and friendly when we ask any doubt or any clarification. Before joining guvi I have already done a course in another institution. When comparing these two institutions, there is a lot of difference in teaching.I love that the mentor who is teaching the course is not only a mentor but a professional too. This is a very unique thing about guvi. I will rate 5/5 to Guvi.”

Author
Vishally

“GUVI is one of the best platforms to start a new course and a new career. 
GUVI is one of the best Platform Where users are been trained with industry experts. It has its own software to practise and a huge number of exercises to master any topic.”

Author
Tejas Samanthapudi

“Guvi helps me to improve my self-confidence in coding skills . The zoom classes are totally comfortable,friendly and easy to learn .It helps me to understand the basic and the core concepts and it helped me to. Build logical skills.I got great mentor's which helped me to bridge between the academics. I'm very proud Thanks to Guvi”

Author
Gokila

I have joined GUVI for a Data Science & Business Analytics Course, the course was good and I’ve learned many key concepts through this course. 

Author
Ishwarya Lakshmi V

I’d like to thank the whole team of GUVI for this course. I have learned a lot of things throughout the course duration of 6 months. Thanks to the support team for their valuable support & special thanks to tutors for their wonderful sessions. Thanks to GUVI again for this upskilling opportunity.

Author
Balaji T

I’ve completed the Business Analytics course in GUVI. I’d like to share my experience that teaching was so crystal clear & there were all the attempts to clear all the doubts. Mentors & supporting staff were too co-operative and always helped me when needed. I’d recommend this course to my friends to enroll for a better future.

Author
Sanjay Sonar

I'm a B.com graduate. Without any knowledge I enrolled in a Master Business Analytics and Digital Marketing Course. But the course was excellently taken by the Trainers. They covered every topic beautifully. The mentors were so friendly and they cleared all the doubts clearly. I appreciate the way they molded us through a variety of mock tests, Live Projects and Cumulative Tests. Not only they trained me in this field but also they are training us for a placement. Now I gained knowledge and confidence to boost up my career. Thank You Team.

Author
S. Krithika

My entire experience was good, the mentors supported me a lot, explained everything well, the entire Guvi team was very helpful.

Author
Vishal Tyagi

I am a non tech experienced fellow looking for a job in IT . While searching for the learning options I came across Guvi. I was impressed with the style and pedagogy and was not disappointed throughout the course. Will definitely recommend Guvi.

Author
Sarvesh Dhende

Where do our Students work?

& more

Our Happy Learners about us!

Frequently Asked Questions

Who can take this course?

Any Student, Graduate, Working Professional from Any Background looking to gain comprehensive skills in Business & Marketing Analytics.

What is the Course Duration?

3 months of weekday & 6 months of weekend live classes.

How do I complete this course?

Being a project-based curriculum, every student has to submit 1/2 project with industry experts' guidance. MCQs help evaluate the performance. After the successful completion of the course, Guvi will grant a course completion globally recognized certificate.

What is the format of the course?

This course is in Online format.

What is the Seat Blocking Procedure? Any Pre-booking charges?

You can book your seats with a ₹8000 Pre-book charge. It is a refundable amount. It is for booking your slot so that you may not miss your preferred batch.

What if I miss any live classes? How long do I have access to the learning contents and practice platforms?

Guvi provides you with a recording of every class with unlimited access to all the practice platforms.  So, you barely get a chance to miss out on anything while being a Guvian!

What is the Fees Structure?

Pay just ₹8000 and Pre-Book your seat. Program Fee ₹94,999(incl. taxes).

What is the Project submission format?

You can submit the projects online. 

What is the EMI payment process?

You exercise an EMI payment option of 12 Months.

Still have Queries? Contact Us

Request a Callback. An expert from the admissions office will call you in the next 24 working hours. You can also reach out to us at [email protected] or +91-9736097320

Congratulations!

You've saved ₹6,000 on Full Stack Development Program

Course fee

Special Offer

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Total

₹88,999

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Phone Number
  • Andorra(+376)
  • United Arab Emirates(+971)
  • Afghanistan(+93)
  • Antigua & Barbuda(+1 268)
  • Anguilla(+1 264)
  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
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  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
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  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
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  • Kenya(+254)
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  • Cambodia(+855)
  • Kiribati(+686)
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  • Korea (North)(+850)
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  • Kuwait(+965)
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  • Kazakhstan(+7)
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  • Liberia(+231)
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  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
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  • Northern Mariana Islands(+ 1 670)
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  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
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  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
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  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
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  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
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  • Philippines(+63)
  • Pakistan(+92)
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  • Puerto Rico(+1 787)
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  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
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  • Serbia(+381)
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  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
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  • Sweden(+46)
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  • St Maarten (Dutch)(+599)
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  • Turks & Caicos Is(+1 649)
  • Chad(+235)
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  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
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  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
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  • US minor outlying islands(+1)
  • United States(+1)
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  • Vatican City(+379)
  • St Vincent(+1 784)
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  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
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  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
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  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
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  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
  • Italy(+39)
  • Jersey(+44 1534)
  • Jamaica(+1 876)
  • Jordan(+962)
  • Japan(+81)
  • Kenya(+254)
  • Kyrgyzstan(+996)
  • Cambodia(+855)
  • Kiribati(+686)
  • Comoros(+269)
  • St Kitts & Nevis(+1 869)
  • Korea (North)(+850)
  • Korea (South)(+82)
  • Kuwait(+965)
  • Cayman Islands(+1 345)
  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
  • Macau(+853)
  • Northern Mariana Islands(+ 1 670)
  • Martinique(+596)
  • Mauritania(+222)
  • Montserrat(+1 664)
  • Malta(+356)
  • Mauritius(+230)
  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
  • Namibia(+264)
  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
  • Nigeria(+234)
  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
  • Nepal(+977)
  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
  • Russia(+7)
  • Rwanda(+250)
  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
  • Sudan(+249)
  • Sweden(+46)
  • Singapore(+65)
  • St Helena(+290)
  • Slovenia(+386)
  • Svalbard & Jan Mayen(+47)
  • Slovakia(+421)
  • Sierra Leone(+232)
  • San Marino(+378)
  • Senegal(+221)
  • Somalia(+252)
  • Suriname(+597)
  • South Sudan(+211)
  • Sao Tome & Principe(+239)
  • El Salvador(+503)
  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
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  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
  • Italy(+39)
  • Jersey(+44 1534)
  • Jamaica(+1 876)
  • Jordan(+962)
  • Japan(+81)
  • Kenya(+254)
  • Kyrgyzstan(+996)
  • Cambodia(+855)
  • Kiribati(+686)
  • Comoros(+269)
  • St Kitts & Nevis(+1 869)
  • Korea (North)(+850)
  • Korea (South)(+82)
  • Kuwait(+965)
  • Cayman Islands(+1 345)
  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
  • Macau(+853)
  • Northern Mariana Islands(+ 1 670)
  • Martinique(+596)
  • Mauritania(+222)
  • Montserrat(+1 664)
  • Malta(+356)
  • Mauritius(+230)
  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
  • Namibia(+264)
  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
  • Nigeria(+234)
  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
  • Nepal(+977)
  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
  • Russia(+7)
  • Rwanda(+250)
  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
  • Sudan(+249)
  • Sweden(+46)
  • Singapore(+65)
  • St Helena(+290)
  • Slovenia(+386)
  • Svalbard & Jan Mayen(+47)
  • Slovakia(+421)
  • Sierra Leone(+232)
  • San Marino(+378)
  • Senegal(+221)
  • Somalia(+252)
  • Suriname(+597)
  • South Sudan(+211)
  • Sao Tome & Principe(+239)
  • El Salvador(+503)
  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
  • Yemen(+967)
  • Mayotte(+262)
  • South Africa(+27)
  • Zambia(+260)
  • Zimbabwe(+263)
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Name*
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  • Andorra(+376)
  • United Arab Emirates(+971)
  • Afghanistan(+93)
  • Antigua & Barbuda(+1 268)
  • Anguilla(+1 264)
  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
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