Top 10 Data Analytics Courses In Armenia With Placement
October 1, 2026|
Vanthana Baburao|
Data Analytics, Courses
Data has permeated all walks of our lives and exists in various shapes and sizes without us even realizing it. Even our mundane routine generates large amounts of data, which when harnessed and carefully analyzed for patterns and trends forms the concept of Data Analytics. It is a qualitative and quantitative analysis of Data to generate functional insights. Data Analytics is the branch of science that is reshaping the entire industry. Data Analytics tools and metrics are widely used in the commercial landscape to assist organizations in making informed decisions. It has an immense scope across the fields. The Data Analytics process includes a myriad of different tools and techniques that vary from industry to industry. There are limitless career opportunities in the rapidly growing field of Data Analytics. If you are of an analytical bent of mind and looking for Data analytics courses to sharpen and hone your skills then we have got you covered. Our list of top 10 Data Analytic Courses in Armenia will assist and support your quest for a triumphant career in Data Analytics.
Before we delve further into the details of Top Data Analytics Courses in Armenia, let us understand the various aspects of Data Analytics and its relevance in today’s world.
What is Data Analytics and What Are the Applications of Data Analytics?
Data analytics is essentially the process of analyzing raw data and deriving trends and conclusions from that. The data analytics process comprises different kinds of applications from basic intelligence, reporting, and online analytical processing to advanced forms of analytics. Data Analytics can be segregated into two broad categories:
Quantitative Data Analysis– This involves the analysis of numerical data carrying quantifying variables. The variables can be statistically measured and compared.
Qualitative Data Analytics– This approach is based on interpretation. It relies more on understanding the non-numerical content in the form of images, text, audio, video, themes, common phrases, opinions, etc.
The Various Data Analytics Applications That Use These Methodologies Are as Follows:
Data Mining– It involves the process of sorting through large sets of data to extract patterns, trends, and relationships.
Business Intelligence and Reporting– BI and reporting provide businesses with functional information about key performance indicators, customer preferences and feedback, and business operations. Earlier data queries and reports were generated by IT developers however Lately, organizations have used self-service BI techniques and metrics that enable their executives, analysts, and operational workers to run the queries and reports as per requirement.
Machine Learning– ML is used in Data Analytics to run automated algorithms to process large sets quickly and more efficiently.
Big Data Analytics– It involves the process of analyzing large sets of data using advanced analytical tools. It utilizes Machine Learning, Data mining, and predictive analysis to analyze a mix of structured, unstructured, and semi-structured data. It also involves Text mining, which includes analyzing emails, documents, and other text-based data.
Customer Churn Forecast– Customer Churn is defined as the percentage of customers that have stopped purchasing a business’s product or services during a certain period. Businesses such as Mobile network operators use Data Analytics metrics to identify customers who are likely to drop off and build strategies to retain them.
Delivery Logistics – Various Logistics companies use Data Analytic solutions to optimize their operations, improve delivery time, and find the most cost-effective route and mode of transport.
Marketing– Companies use Customer relationship management analytics to divide customers into segments for different marketing campaigns and target the customer requirements more efficiently and effectively.
Business Uses– Data Analytic metrics are utilized in a variety of Business uses. Banks and credit card companies use withdrawal and spending analysis to detect irregular activities, identity theft, or credit card fraud. E-commerce websites use clickstream analysis to track and analyze visits to websites. It helps find out customer behavior and preference and who is likely to buy the product and repeat advertise the customer to enhance the probability of sale. Healthcare organizations mine patients’ data to know which medication and treatment is more effective and improve medical facilities.
A Few Top Recommendations That You Should Explore:
Top 10 Data Analytic Courses in Armenia with Placements
1. IIM SKILLS
IIM SKILLS is a world leader in career-oriented courses. It offers a deep catalog of professional courses for successful and lucrative careers. Of all the many challenging courses, The Data Analytics Master Course offered by IIM SKILLS is highly sought-after.
Duration: 6 Months of Training + 2 Months Internship (optional)
Fees: 2,36,820.10Armenian Dram + Taxes
EMI: Interest Free
Certification: Yes
Mode of Learning: Online
Course Modules:
Module Name
Important Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Introduction
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample
The Key Features of the Course That Make It the Top-rated Data Analytics Courses in Armenia Are as Follows:
Universal Access– As the course is carried out online it is accessible from all over the world
Flexible Timings– IIM SKILLS offers flexible timings as per the varying schedules of aspirants and allows them to undertake skill development courses without having to compromise their existing commitments.
Free Demo– IIM SKILLS offers the facility a free trial for a glimpse of the course before having to commit to it.
Course Curriculum– The courseware is structured by industry specialists with real-world knowledge of the subject and it carries a blend of theoretical knowledge and its practical application. The course is designed by keeping in mind both beginners as well as professionals.
Master Certification– The Data Analytics Masters Course by IIM SKILLS provides Globally accredited Master Certification.
Placement Assistance– The trainers at IIM SKILLS provide placement opportunities and assistance to all their candidates.
The Data Analytics Course by IIM SKILLS is comprehensive including hands-on practical exposure to all the latest tools and techniques, making it one of the top Data Analytics courses in Armenia.
ACA is the prime hub for professional courses in Armenia. It helps the students acquire skills for a successful professional career. It offers comprehensive courses in various in-demand fields.
The Data Analytics courses in Armenia provided by ACA is a beginner-level course that provides a well-structured curriculum designed by experts from the field. The sessions are conducted online and in class and various seminars are also conducted for students to implement the knowledge they have acquired in the class. It is a highly popular choice among Data Analytics courses in Armenia.
The Manoogian Simone College of Business and Economics (MSCBE) at the American University of Armenia is a prominent Professional courses institute that has catered to the requirements of Armenian Students for over 2 decades.
They offer a wide range of well-accredited Graduate and Postgraduate courses in the fields of Business, Finance, Economics, and Data Analytics. MSCBE’s faculty is comprised of accomplished scholars and industry experts.
Their Graduate Certificate in Data Analytics is a 16-month program specializing in imparting skills essential to conquer the globally competitive market of Data Analytics. It is among the top-rated Data Analytics Courses in Armenia
Course Name: Graduate Certificate in Data Analytics
Duration: 16 months
Course Curriculum:
Introductory and Advanced Topics in Statistics
Data Management, Data Analysis, and Data Visualization
Probability Theory
Statistical Analysis Methods and Tools
Concept and Techniques of Data Mining
Introduction to Stata and Python
Certificate Completion Requirements:
Grade of C- or above in each course
Overall GPA of 3.0 or above
Qualification Requirement:
Proficiency in the English Language with a TOEFL iBT score of 68 or above
BDG is an eminent educational platform offering professional education and skill development courses across a wide selection of fields aimed at transforming and empowering individuals to succeed in the competitive market landscape. They offer courses for all levels from beginners to specialists from different fields.
Their professional trainers provide individual consultation to students and assist them in acquiring the job. Their Data Analytics courses in Armenia are based on practical projects curated by specialists in the field. It is a quality choice among Data Analytics Courses in Armenia.
Course Name: Data Analytics Full Course
Duration: 5 months
Admission Criteria: Candidates are selected through Admission and Test
Fees: 59000 AMD/ month
Course Curriculum:
Introduction to Data Analytics
Introduction to Excel
Data Analytics with Excel
Statistics and Probability Methods in Excel
Fundamentals of SQL and Basic Types of SQL
Importing and Exporting Data
SQL for Data Preparation
Aggregate Functions for Data Analysis
Window Functions for Data Analysis
Introduction to Power BI
Data Preparation
Table Relationship Creation and Data Model in Power BI
Introduction to DAX Functions including logical, statistical, and mathematical functions
Information Filter and Value and Time Intelligence DAX Functions
EduBridge is one of the top-rated Online Educational platforms that offers a diverse range of online courses in the field of Data Science and Analytics. The provision for online and remote learning, a detailed curriculum, and a large number of enrolments make it a leading and popular choice for the Data Analytics Institute in Armenia.
Their Advanced Certification Program in Data Analytics is in partnership with IBM The curriculum is structured to target both freshers and professionals.
Course Name: Advanced Data Analytics Course
Mode of Learning: Online
Duration: 640 Hours
Fees: 3,72,988 AMD
Course Curriculum:
Skills covered in the exhaustive course are:
Statistical Analysis
Python Programming
Data Visualisation
Data Manipulation
Predictive Analysis Modelling
Advanced Machine Learning
They also provide expert career guidance and assist in building a professional resume. The features make it a sought-after Data Analytics Courses in Armenia helping to jumpstart a lucrative career as Data Analysts.
Do Not Miss check out these Top-ranked Data Analytics Courses:
Unichrone is a prestigious Online Training Platform that specializes in skill development training in multiple fields for professionals to stay current with the rapidly and technologically evolving environment. The course classes provided by them can be adjusted as per the needs of the professionals. They offer Power BI Data Analyst Certification and Training which makes it a highly sought-after Data Analytics Institute in Armenia.
Power Business Intelligence(Power BI) is a practical Business solution for Data Analysts. Organizations are on a constant lookout for professionals who are well-versed with the latest techniques, the Microsoft Power BI Data Analyst Certificate in Armenia gives one a competitive advantage.
After the completion of 3 days of Instructor-led training, students are required to pass Exam PL-300. The exam assesses the student’s ability for Data Visualization, Data Handling, Modelling, and Analysis. Exam details are as follows:
Exam Name: Power BI Data Analyst, Exam PL-300
Exam Fees: USD 165
Format: Multiple Choice Questions
Duration: 3 hours
The course imparts its candidates the ability to import, clean, manipulate, and visualize data in Power BI and other features, like DAX, and Power Query.
7. The Knowledge Academy
The Knowledge Academy is a high-ranked Online Education Provider. They carry a diverse compilation of skill development programs to fulfill the requirements of aspirants from all kinds of backgrounds.
Their courses are cost-effective and time-efficient and help transform people and businesses across the world making it a leading Data Analytics institute in Armenia. Their Advanced Data Analytics Courses in Armenia teach the students cutting-edge techniques and advanced data analysis in their live interactive Instructor-led training sessions.
Course Name: Advanced Data Analytics Course
Duration: 4 days
Certification: Available
Course Curriculum:
Domain 1: Data Analytics
Introduction to Data Analytics
Introduction to Statistical Analysis
Data Wrangling with SQL
Presto
Feature Engineering
Domain 2: Business Analytics with Excel
Fundamentals of Data Analysis using MS Excel
Cleaning Data with Text Function
Sorting and Filtering
Exploring Lookup Functions
Introduction to Power Pivot and Formula Auditing
DAX Variables and Formatting
Introduction to Power Map
Dashboard Design Using Data Model
Domain 3: Basic Programming using Python
Python for Data Analysis- NumPy
Python for Data Analysis- Pandas
Python for Data Visualization – Matplotlib
Python for Data Visualization- Seaborn
Domain 4: Tableau Training
Get Started
Data Sources
Worksheets
Calculations
Sort and Filters
Tableau Charts
Contact Information:
Phone number: +44 1344 203 999
8. Udemy
Udemy is among the top-rated online educators that provide an assorted mix of professional courses. Their Data Analytics Courses in Armenia are structured Data Analytics professional and are flexible and self-paced. Their curriculum is extensive and inclusive and enables their students to have thriving careers as Data Analysts. It is another Top choice as a Data Analytics Institute in Armenia.
Course Name: The Data Analyst Course
Duration: Self Paced
Mode of Learning: Online
Fees: USD 40
Course Curriculum:
Introduction to Data Analytics
Basics of Python
Fundamentals for Coding in Python
Basics of NumPy
Basics of Pandas
Working with Text Files
Working with Text Data
Data Gathering and Data Collection
Working with Arrays
Data Visualization
9. Imarticus
Imarticus Learning is a prominent Skill Development Trainer. They specialize in providing Job Oriented Professional courses for all fields and are in collaboration with premier institutions and Corporations.
Their Data Analytics program is rigorous, experiential, and progressive provides 100% job assurance, and is a preferred choice for the Data Analytics Institute in Armenia. The course aims at the benefit of both individuals and enterprises. Their cutting-edge training programs enable individual and organizational growth through a consistent and comprehensive approach.
Course Name: PG Program in Data Science and Analytics
Duration: Self-paced
Mode of Learning: Online and Classroom Training
Course Curriculum:
SQL
Python Programming
Statistics for Data Science
Machine Learning
Linear Regression using OLS
Project on Linear Regression
Logistic Regression
Model Turning Techniques
Project on Logistic Regression
K-means Clustering
Time Series Modelling
Principal Components Analysis
Data Visualization with Power BI
Capstone Projects
10. Coursera
Coursera provides a variety of online professional courses in a wide range of fields. Its mission is to make education accessible to anyone and everyone across the globe. It provides flexible, job-oriented, cost-effective online training solutions to individuals and organizations alike.
Their Data Analytics Professional Certificate Course is a well-crafted on-ramp to a successful career in Data Analytics. Its remote accessibility makes it a viable option for professionals worldwide and is a sought-after choice among Data Analytics Courses in Armenia.
Course Name: Data Analytics Professional Certification Course
Course Duration: 6 months
Mode of Learning: Online
Certification: Google Certification
Course Curriculum:
Data Analysis
Data Visualisation
Data Cleansing
SQL
R Markdown
R Programming
Tableau Software
Data integrity
Case Study Creation and Analysis
(FAQs) Frequently Asked Questions
Q. What kind of jobs do the Data Analytics courses in Armenia lead to?
Data Analytics is one of the most high-profile career options of the 21st century. It is a high-paying, high-reward career alternative. There are multiple types of jobs it offers, some of them are as follows:
Business Analysts- They are tasked with identifying business problems and opportunities. Business Analysts develop solutions to improve business processes and performance. They utilize analytic tools such as Diagnostic, Descriptive, and Predictive Analytics tools. They are required to have strong analytical and problem-solving skills.
Data Scientist- They collect, analyze, and interpret large sets of complex data. They use statistical and machine-learning tools to derive trends and patterns. They are required to be proficient in statistics and mathematics.
Data Engineer- Their main job includes designing and developing infrastructure that supports data collection, storage, and analysis. Data Engineers are required to know programming languages such as Python, Java, and SQL.
Marketing Analytics Manager– They collect and analyze data to inform marketing strategies. They use data to improve the efficiency of marketing Campaigns. Experienced Marketing Analytics Managers have strong problem-solving and analytical skills.
Financial Analysts- They mainly analyze financial data to detect patterns and trends. They are also tasked with developing financial models and forecasts. They are required to have a working knowledge of financial modeling analysis tools.
Risk Analysts– They help identify and assess potential risks to an organization. They develop and implement risk management strategies. They are required to have experience with risk management analysis solutions.
2. How does Data Analytics help in Business Innovation?
Data Analytics helps to provide a clear overview of the customer’s preference, market demands, and latest trends. It lends a competitive edge to a business as it helps them innovate products and services that are cutting-edge and cater to the requirements of the target audience.
3. How does Data Analytics help in Fraud Detection and Prevention?
Data Analytics metrics are quick at detecting any irregularity or inconsistency and therefore are prompt in observing and reporting any suspicious activity in real time. They also help build robust security measures that prevent unauthorized access. These techniques are highly useful in the financial sector.
Conclusion:
In this article, we have thoroughly covered how Data Analytics has conquered all industries and is here to stay. It is a highly in-demand career choice and a lucrative job option for those with an analytical bent of mind and who are good with numbers. We hope with our exhaustive list of Top 10 Data Analytics courses in Armenia we will help you get closer to the dream of becoming a successful Data Analyst.
