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E&ICT, IIT Kanpur Professional Certificate course in Data Engineering

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Become a Data Engineer with GUVI’s E&ICT, IIT Kanpur Certification. Master the skill of building exceptional data systems and gain in-demand job skills like AWS, Spark, Docker, Python, SQL, etc... Work on real projects under industry experts and kickstart your career.

With Industry Experts From

E&ICT, IIT Kanpur Professional Certificate course in Data Engineering

Learn in Hindi

Become a Data Engineer with GUVI’s E&ICT, IIT Kanpur Certification. Master the skill of building exceptional data systems and gain in-demand job skills like AWS, Spark, Docker, Python, SQL, etc... Work on real projects under industry experts and kickstart your career.

With Industry Experts From

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Duration

3 Months / 5 Months (Weekday/Weekend)

Format

Live Online Classes

Hiring partners

600+ Companies

Duration

3 Months / 5 Months 

Format

Live Online Classes

Hiring partners

600+ Companies

CTC

₹41L/annum

About GUVI’s E&ICT, IIT Kanpur Data Engineering Certification

GUVI provides a 360-degree upskilling experience for freshers and working professionals who are seeking superior job opportunities with higher pay in the data, cloud computing, and IT industries. With our data engineering certification, you will master highly valuable data skills like Python, SQL, MongoDB, Spark, AWS, Docker, etc., while learning big data, database infrastructure, data cleaning, data visualization, shell scripting, and cloud technologies. As you build a promising portfolio of industry-level capstone projects under the mentorship of industry experts, this course prepares you for a flourishing future in data engineering.

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Top Reasons To Choose Data Engineering as a Career

37% from 2021-2031
(Creating 36,457 jobs on average)

Work with companies like

Avg. Salary in these companies: 9.55 LPA

Huge Demand across Industries

Scale Success with Lucrative Career Opportunities After Course Completion: Big Data Engineer, Data Architect, Technical Architect, Cloud Engineer, Business Intelligence Engineer, Data Warehouse Engineer.

The entire technical ecosystem today relies on the efficient utilization of data. This makes the job market ripe for potential data engineers who build efficient data infrastructures to ensure the proper organization, evaluation, and safety of the huge volumes of data available. Doing an online data engineering certification will expose students and working professionals with a technical background to a plethora of phenomenal opportunities that offer higher pay. Such skilled data engineers are in high demand for their ability to create leading-edge technologies that will revolutionize the world’s outlook on data.

While data engineering is growing at a rapid pace, the number of skilled professionals in the field remains scarce. By 2030, the global market for big data engineering is expected to experience a robust growth rate of 30.7%, eventually reaching a total value of $346.24 billion. Moreover, data engineering was also the fastest-growing tech role in 2020, given its massive 50% year-over-year growth. All these statistics show that the gap between the demand and availability of data engineers is wide. A professional data engineering certification is the best way to upskill yourself and fill the gap effectively. A beginner data engineer can earn ₹5.5-7.0 LPA, which can go as high as ₹25-47 LPA based on the company, location, and experience.

Get to Know Our E&ICT, IIT Kanpur Professional Data Engineering Course Syllabus

Module 1

Introduction to Data Engineering

  • What is Data Engineering?
  • Role of Data Engineers in the Industry
  • Importance of Data Engineering in Data-driven Organizations
  • Overview of Data Engineering Tools and Technologies
  • Career Paths and Opportunities in Data Engineering
Module 2

Python 

  • Introduction to Python
  • Basic Syntax and Data Types
  • Control Structures (Conditional Statements and Looping)
  • Functions
  • Lambda Functions
  • Data Structures (Lists, Tuples, Dictionaries, Sets)
  • File Handling
  • Error Handling (try and except)
  • List Comprehensions
  • Decorators
  • NumPy
  • Pandas
  • Regex
  • Code optimisation
Module 3

RDBMS

  • Introduction to Databases
  • MYSQL -Introduction & Installation
  • SQL KEYS
  • PRIMARY KEY
  • FOREIGN KEY
  • UNIQUE KEY
  • composite key
  • Normalization and Denormalization
  • ACID Properties
Module 4

SQL

  • Basic SQL Queries
  • Advanced SQL Queries
  • Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN)
  • Data Manipulation Language (DML): INSERT, UPDATE, DELETE
  • Data Definition Language (DDL): CREATE, ALTER, DROP
  • Data Control Language (DCL): GRANT, REVOKE
  • Aggregate Functions (SUM, AVG, COUNT, MAX, MIN)
  • Grouping Data with GROUP BY
  • Filtering Groups with HAVING
  • Subqueries
  • Views
  • Indexes
  • Transactions and Concurrency Control
  • Stored Procedures and Functions
  • Triggers
  • Stored procedures
Module 5

MongoDB

  • Introduction to NoSQL and MongoDB
  • Installation and Setup of MongoDB
  • MongoDB Data Model (Documents, Collections, Databases)
  • CRUD Operations (Create, Read, Update, Delete)
  • Querying Data with MongoDB
  • Indexing and Performance Optimization
  • Aggregation Framework
  • Data Modeling and Schema Design
  • Working with Embedded Documents and Arrays
  • Transactions and Atomic Operations
  • Security in MongoDB (Authentication, Authorization)
  • Replication and High Availability
  • Sharding and Scalability
  • Backup and Disaster Recovery
  • MongoDB Atlas (Cloud Database Service)
  • MongoDB Compass (GUI for MongoDB)
  • MongoDB Drivers and Client Libraries (e.g., pymongo for Python)
  • Using MongoDB with programming languages Python
  • Real-world Applications and Case Studies
Module 6

Shell Script

  • Introduction to Shell Scripting
  • Basics of Shell Scripting (Variables, Comments, Quoting)
  • Input/Output in Shell Scripts
  • Control Structures (Conditional Statements, Loops)
  • Functions and Scripts Organization
  • Command Line Arguments and Options
  • String Manipulation
  • File and Directory Operations
  • Process Management (Running Commands, Background Processes)
  • Text Processing (grep, sed, awk)
  • Error Handling and Exit Status
  • Environment Variables
  • Regular Expressions in Shell Scripts
  • Debugging and Troubleshooting
  • Advanced Topics (Signals, Job Control, Process Substitution)
  • Shell Scripting Best Practices
  • Scripting with Specific Shells (Bash, Zsh, etc.)
  • Scripting for System Administration Tasks
  • Scripting for Automation and Task Orchestration
Module 7

Git

  • Introduction to Version
  • Control Systems (VCS) and Git
  • Installation and Setup of Git
  • Basic Git Concepts (Repositories, Commits, Branches, Merging)
  • Git Workflow (Local and Remote Repositories)
  • Creating and Cloning Repositories
  • Git Configuration (Global and Repository-specific Settings)
  • Tracking Changes with Git (git add, git commit)
  • Viewing Commit History (git log)
  • Branching and Merging (git branch, git merge)
  • Resolving Merge Conflicts
  • Working with Remote Repositories (git remote, git push, git pull)
  • Collaboration with Git (Forking, Pull Requests, Code Reviews)
  • Git Tags and Releases
  • Git Hooks
  • Rebasing and Cherry-picking
  • Git Reset and Revert
  • Git Stash
  • Git Workflows (e.g., Gitflow, GitHub Flow)
Module 8

Cloud

  • Introduction to Cloud Computing and Data Engineering
  • Overview of Cloud Providers (AWS and Azure)
  • Cloud Storage Solutions (AWS S3, Azure Blob Storage)
  • Cloud Database Services (AWS RDS, Azure SQL Database)
  • Data Warehousing in the Cloud (AWS Redshift, Azure Synapse Analytics)
  • Cloud Data Integration and ETL (AWS Glue, Azure Data Factory)
  • Big Data Processing in the Cloud (AWS EMR, Azure HDInsight)
  • Real-time Data Processing and Streaming Analytics (AWS Kinesis, Azure Stream Analytics)
  • NoSQL Databases in the Cloud (AWS DynamoDB, Azure Cosmos DB)
  • Data Lakes and Analytics Platforms (AWS Athena, Azure Databricks)
  • Machine Learning and AI Services (AWS SageMaker, Azure Machine Learning)
  • Data Visualization and BI Tools (AWS QuickSight, Azure Power BI)
  • Cloud Security and Compliance
  • Cost Management and Optimization in the Cloud
  • Best Practices for Cloud Data Engineering
Module 9

System Design

  • Load balancer and High availability
  • Horizontal vs Vertical Scaling
  • Monolithic vs microservice
  • Distributed messaging service and Aws SQS
  • CDN (content delivery Network)
  • Caching , scalability
  • Aws API gatewayAthena
Module 10

Snowflake

  • Introduction to snowflake
  • Diffrence between Datalake, Datawarehouse, Deltalake, Database
  • Dimension and Fact Tables
  • Roles and users
  • Data modeling, snowpipe
  • MLOAP and ROLAP
  • Partitioning and indexing
  • Data mart and data cubes & caching
  • Data masking
  • Handling json files
  • Data loading from S3 and tranformatin

+ 10 modules. Download Syllabus to know more

Get to Know Our E&ICT, IIT Kanpur Data Engineering Course Syllabus

Module 1

Python

  • Why python?
  • Python IDE
  • Hello World Program
  • Variables & Names
  • String Basics
  • List
  • Tuple
  • Dictionaries
  • Conditional Statements
  • For and While Loop, TRY AND EXCEPT
  • Numbers and Math Functions
  • Common Errors in Python
Module 2

Python(Advance)

  • FUNCTIONS , Lambda, Filters and Map
  • Functions as Arguments
  • List Comprehension
  • Debugging in Python
  • Class and Objects
  • Inheritance, Polymorphism, Abstractions
  • Liner and non-Linear Data structures
  • Singly, doubly,ciculer Linked list, Binary tree
  • Bubble, insertion, merge, quick, Heap sorting
  • File Handling (Text, Json, csv)
  • Iterators
  • Pickling, Multi Threading
Module 3

SQL

  • Joins
  • SQL Outer Join
  • SQL Left Join
  • SQL Right Join
  • SQL Full Join
  • SQL Cross Join
  • Integrating Python SQL
  • Window functions (rank, dense rank, row number, etc)
  • Data Types, Variables
    Constants
  • Conditional Structures (IF, CASE, GOTO, and NULL)
  • Stored procedures and Function
  • subqueries
Module 4

RDBMS

  • MYSQL
  • SQL KEYS
  • PRIMARY KEYS
  • FOREIGN KEY
  • UNIQUE KEY
  • Composite key
  • Triggers
  • Indexes
  • Transaction
  • Views
Module 5

Mongo DB

  • CAP Theorem
  • Structured and unstructured data
  • OLTP vs OLAP
  • Schema vs Schema less
  • Dimensional modelling
  • Cluster set and up Monitoring
  • Insert First Data
  • CRUD Operations
  • Insert Many
  • Update and Update Many
  • Delete and Delete Many
    Projection
  • Intro to Embed Documents
  • Embed Documents in Action
  • Adding Arrays
  • Fetching Data From Structured Data
  • Schema Types
  • Types of Data in MongoDB
  • Relationship between data's
  • Aggregation
  • One to One using Embed Method
  • One to One using Reference Many
  • One to Many Embed
  • One to Many Reference Method
  • Assessment
Module 6

Shell Script

  • Introduction to Linux
  • Basic Shell script commands
  • Creating Frameworks
  • Cron jobs, Email alerts
  • Running Batch jobs
Module 7

GIT

  • Introduction to Git
  • Git Commonds
  • Cloning repository in vs code
  • Working on cloning branches, commit, push, add, merge from vs code
Module 8

AWS Cloud

  • Introduction to Cloud
  • AWS Services overview
  • Server vs serverless
  • Cloud data warehouse
  • Cloud Datalake
  • Cloud database (Dynamo DB)
  • IAM, roles, policies
  • EC2, VM’s
  • S3
  • RDS - MySQL Free tier database
  • Integrating RDS to Local System and Integrating RDS to Python
  • Environment
  • Lambda
  • Cloud Watch
  • Integratrating All the Above components and RDS
  • Glue, Data crawler, Athena
    Monitoring ETL pipeline with Step function
Module 9

Snowflake

  • Introduction to snowflake
  • Diffrence between
  • Datalake, Datawarehouse,
  • Deltalake, Database
  • Dimension and Fact Tables
  • Roles and users
  • Data modeling, snowpipe
  • MLOAP and ROLAP
  • Partitioning and indexing
  • Data mart and data cubes & caching
  • Data masking
  • Handling json files
  • Data loading from S3 and tranformation
Module 10

Airflow

  • Why and what is airflow
  • Airflow UI
  • Run first dag
  • Grid view
  • Graph view
  • Landing times view
  • Calendar view
  • Gantt view
  • Code view
  • Core concepts of airflow
  • DAGs
  • Scope
  • Operators
  • Control flow
  • Task and task instance
  • Database and executors
  • ETL/ELT process implementation
  • Monitoring ETL pipeline with airflow

+ 4 modules. Download Syllabus to know more

Sharpen your skills in

Enhance Your Resume with Valuable Industry Projects

& more projects. Download syllabus to know more

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Learn More About Our E&ICT, IIT Kanpur Professional Data Engineering Certification

Who Can Apply for the E&ICT, IIT Kanpur Professional Data Engineering  Certification?

  • Fresh graduates interested in joining the data and advanced technology fields
  • Job aspirants with at least a bachelor’s degree and a keen interest in data engineering
  • Early professionals looking for a career switch into a data engineering role

Why Choose GUVI for Learning E&ICT, IIT Kanpur Professional Data Engineering?

GUVI’s career programs are project-based online boot camps that focus on bestowing job-ready tech skills through a comprehensive course curriculum instructed in regional languages for the comfort of learning the latest technologies.

  • EMI Options available 

This program has up to 24-month of EMI options available for the payment of the course fee. You can start with pre-booking fee of ₹8000 (Refundable), and evaluate your Pre bootcamp performance. If you're interested then proceed towards your successful upskilling journey or else stay assured of the ‘7-day pre-boot refund policy’.

  • E&ICT, IIT Kanpur Certification

Highlight your portfolio with skill certifications from E&ICT, IIT Kanpur that validate your skills in Advanced Programming & Globally recognized certifications in other latest technologies of Data Engineering.

  • Vernacular Upskilling

Ease your upskilling journey by learning the high-end skills of Data Engineering in your preferred native languages such as हिंदी & தமிழ் and Telugu.

  • Industry Experts’ Mentorship

Get 360-degree career guidance from mentors with expertise & professional experience from world-famous companies such as Google, Microsoft, Flipkart & other 600+ top companies.

Still have queries? Contact Us

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

Still have queries? Contact Us

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

Fill in your details to proceed

Name*
Phone*
  • 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)
  • 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)
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  • Cook Islands(+682)
  • Chile(+56)
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  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
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  • 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)
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  • Panama(+507)
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  • French Polynesia(+689)
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  • Philippines(+63)
  • Pakistan(+92)
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  • 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)
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  • Sweden(+46)
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  • St Helena(+290)
  • Slovenia(+386)
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  • Slovakia(+421)
  • Sierra Leone(+232)
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  • Senegal(+221)
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  • 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)
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  • 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)
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  • Andorra(+376)
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  • Armenia(+374)
  • Angola(+244)
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  • Austria(+43)
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  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
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  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
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  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
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  • Caribbean NL(+599)
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  • Bahamas(+1 242)
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  • Belarus(+375)
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  • 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)
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