Top 9 Data Analytics Courses in Yerevan With Placements

Struck in your old traditional job and want to boost your career as a data analyst, read this article till the end and you will get all the information required to enroll in data analytics courses in Yerevan. Data analytics has become the backbone of almost all businesses be it in the private or government sector. From healthcare to tourism, data analytics has proven its worth as a good skill, helping to manage the data sophistically. If getting admission to a data analytics course is your motive, then read the article till the end.

Data Analytics is in demand and individuals are looking for trusted institutes where they can learn the program with recognized certificates.

We have mentioned a list of a few top data analytics institutes in Yerevan in this article for your reference.

About Yerevan

Yerevan is one of the oldest cities populated by humans and is also the capital city of Armenia. It is a primate city and all the cultural events or administrative decisions are being done and conducted in the city.

Chemicals, primary metals and steel products, machinery, rubber products, plastics, rugs and carpets, textiles, apparel and footwear, jewelry, wood products and furniture, building materials and stone processing, alcoholic beverages, mineral water, dairy products, and processed food are just a few of the many industries that make up Yerevan’s economy.

Yerevan’s citizens could benefit from data analytics institutes in Yerevan. Yerevan has developed into a significant hub for research and science. The Armenian National Academy of Sciences looks into all the scientific developments in Yerevan.

The Armenian National Academy of Sciences is the main body that runs scientific interference in Armenia. Originally established in 1943 as the Soviet Academy of Sciences’ Armenian Branch, it has since grown to become the principal organization in Armenia for scientific research and activity coordination.

Mathematical and Technical Sciences, Physics and Astrophysics, Natural Sciences, Chemistry and Earth Sciences, Armenology, and Social Sciences are just a few of its several divisions.

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What is Data Analysis?

Businesses constantly gather a ton of data which is mostly meaningless in its unprocessed state. Data analytics can help with this.

Cluttered and unstructured data is being refined into valuable and actionable insights that are being used by big companies and corporations to make sensible and risk-reducing decisions for company data analytics.

Raw data will be extracted, arranged, and analyzed by a data analyst to turn it from meaningless numbers into logical, understandable information.

After analyzing the data, the data analyst will share their conclusions with the firm in the form of recommendations or ideas for what should happen next.

Consider data analytics as a type of business intelligence that helps organizations overcome particular obstacles and problems.

It all comes down to identifying patterns in a dataset that can provide important and pertinent information about a specific aspect of the company, such as the behavior of a particular clientele or employee usage of a specific technology.

As a result, you can make well-informed decisions and plans based on the data rather than winging it.

Real-Life Applications of Data Analytics-

1. Healthcare-

Healthcare benefits greatly from data analytics for several reasons, including bettering patient care, increasing operational effectiveness, and fostering organizational businesses that can use data analytics to examine patient data, spot trends, and forecast performance in terms of healthcare.

Healthcare companies can examine patient data, spot trends, and forecast performance in terms of health outcomes thanks to data analytics. Healthcare professionals can predict patient situations and act before they worsen, improving health outcomes and reducing the point of care.

Healthcare providers use data analytics to access pertinent patient information, clinical recommendations, and best practices. Hospital readmissions are recommended based on evidence by clinical decision support systems that are driven by data analytics.

By highlighting inefficiencies, waste, and overuse, data analytics assists healthcare businesses in allocating resources more wisely. By evaluating patient data and finding patterns suggestive of sickness, data analytics makes it possible to diagnose illnesses and health hazards early.

2. Finance-

With the rise of digitalization and modern technology, the majority of firms nowadays use data analysis to enhance various internal financial operations. Finance data analysis facilitates the collection and processing of more accurate data with insightful results.

Businesses may more easily comprehend their clients and make informed decisions for their business outcomes with the use of data analysis.

Financial raw or unstructured data can be transformed into structured data that is simple to comprehend and interpret with the aid of data analytics.

Additionally, the information gathered can be utilized to compute Key Performance Indicators (KPIs) such as investments, transactions, income, payroll, etc. with the aid of data analysis.

3. Weather Prediction-

Weather prediction is a difficult endeavor. Forecasting the weather is a very intricate process that uses data from numerous sources, a variety of analyses, and weather models that are provided to make sense of the deluge of data.

This procedure makes use of a wide range of devices and technologies, including deep-space satellites, weather balloons, thermometers, and barometers.

The wealth of information at our disposal may be both an asset and a liability. While having a wealth of data from multiple sources is essential for gathering precise information and making insightful predictions, figuring out which weather models to use with the available data can be challenging.

Additionally, factors like the ever-changing climate might make things more difficult the further into the future a forecast is made, like a week or even longer. That’s why accurate weather forecasting relies heavily on ongoing, real-time analysis.

The dependability of weather forecasts can be greatly increased by utilizing machine learning algorithms and artificial intelligence capabilities.

With these technologies, massive volumes of weather data can be processed quickly, and when the models are used more often, they will provide a more sophisticated approach, making weather models considerably more accurate.

4. Fraud Detection-

By using data analytics to mine patterns, anomalies, and trends that may point to fraudulent activity, data analytics plays a critical role in detecting fraud.

Data analytics approaches can identify possible fraud cases, highlight questionable behaviors, and detect deviations from usual trends by evaluating massive volumes of transactional and behavioral data.

By taking a proactive stance, companies may protect their assets and uphold the integrity of their operations by quickly responding to and mitigating fraudulent activity.

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Steps in Data Analysis-

There are a total of 6 steps in Data analysis which are being taught in every data analysis course in Yerevan.

1. Defining and Stating the Question-

An issue or business job is assigned to the data analyst in the first step of the procedure. The task and the stakeholders’ expectations for the solution must be understood by the analyst.

A stakeholder is an individual who has contributed funds and resources to a project. To identify the best answer to their problem, the analyst needs to be able to pose many queries.

To understand the subject to its core, the data analyst must recognize the main cause. When studying the problem, the analyst has to make sure that there are no outside distractions.

To fully grasp the nature of the underlying issue, communicate with the stakeholders and other team members effectively.

2. Unifying the Data-

The preparation or collection of the data is the second step. This stage entails gathering information and keeping it for later study.

Information and data should be collected not only from one or two sources but multiple reliable sources. It is necessary to gather the data from a variety of internal and external sources.

The data that is available within the company you work for is known as internal data, while the data that is available outside of your company is known as external data.

First-party data is information gathered by an individual using their resources. Common sources from which information is gathered include surveys, interviews, feedback, and questionnaires.

3. Cleansing the Data-

The Cleanse and Process Data stage is the third. Once information has been gathered from various sources, it’s time to clean it up. Clear data is devoid of typos, repetitions, and unnecessary information.

Data integrity is a major factor in clean data. Unnecessary data is eliminated and cleaned since it may be redundant or not in the proper format.

One of the most crucial phases in data analysis is this one since well-formatted, clean data makes it easier to identify patterns and locate answers. Evaluating the bias of your data is the most crucial step in the Process phase.

4. Representing the Data-

The data visualization phase is the fifth. Now that the data has been translated, a visual (chart, graph) must be created.

The rationale behind creating data visualizations is the possibility of non-technical stakeholders, primarily consisting of individuals.

The two widely used programs for creating eye-catching data visualizations are Tableau and Looker. Tableau is a straightforward drag-and-drop application that facilitates the creation of eye-catching visuals.

Looker is a data visualization application that makes visuals by connecting directly to the database. When developing a graphic, data analysts use Tableau and Looker equally. There are packages for R and Python that offer stunning data visualizations.

5. Presenting the Data-

To present the data, raw data must be transformed into a format that is understandable and relevant to a variety of stakeholders.

The method involves generating visual aids, including tables, graphs, and charts, to efficiently convey trends, patterns, and insights discovered through data analysis.

Encouraging both technical and non-technical audiences to grasp difficult material is the aim of this approach. The selection of visualization techniques for effective data presentation is contingent upon the exact message to be conveyed and the characteristics of the data itself.

It goes beyond simple presentation to include storytelling, in which the speaker analyzes the results, highlights important details, and leads the audience through the tale the data tells.

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Data Analytics Courses in Yerevan

Below is a list of all the institutes that offer data analytics courses in Yerevan-

1.  IIM SKILLS-

IIM SKILLS is the only organization that has the potential to dominate the ed-tech sector. IIM SKILLS started its journey in 2015.

It is one of the best data analytics institutes in Yerevan because of its variety of courses and faculty’s commitment to providing each student with a good education.

 

They have instigated ample upgrading initiatives to uplift the skills of aspiring students. It excels in providing the greatest programs for writing, marketing, finance, preparing for competitive exams, and analytics.

The Content Writing Master Course was the first course that IIM SKILLS offered. Subsequently, it entered the domains of analytics, finance, marketing, and competitive tests to draw in and support students in those areas.

• 160+Hours Lectures
• 100+Hours Practical Assignments
• 16+Live Projects
• 10+Case Studies
• 7+Tools Covered
• 6 Month course
• Online course
• Around-the-clock service
• Master certification
• Lifetime access

The data analytics course at IIM SKILLS is designed in a way that covers all the latest topics required by the industry.

Module Name	Important Topic
Module 1: Basic and Advanced 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 the 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

2. The Knowledge Academy-

The Knowledge Academy is well established in the field of providing training courses all over the world. They have more than 30,000 courses, in 490+ locations, across 190.

Their data analytics courses in Yerevan are one of the best in the city. They provide both online and offline options.

They are one of the leading data analytics institutes in Yerevan as of now. Their curriculum is well designed and their training is wholesome, providing trainees with good guidance.

Below is the Syllabus-

Module 1: Introduction to Data Science

• What is Data Science?
• Types of Data
• Data Science Pipeline

Module 2: Understanding Data Wrangling

• Data Wrangling Workflow
• Data Acquisition
• Data Enriching
• Data Cleansing

Module 3: Data Analysis

• Data Analysis within Business
• Confirmatory Data Analysis
• Exploratory Data Analysis
• Data Analysis Files

Module 4: Data Mining

• Introduction to Data Mining
  • Common Classes of Tasks Under Data Mining
• Regression Analysis

Module 5: Understanding Data Visualisation

• Introduction to Data Visualisation
  • Six Principles of Data Visualisation
  • Elements of Data Visualisation
• Psychology of Charts

Module 6: Data Manipulation

• Data Manipulation Overview
• Types of Structuring Involved in Data Manipulation
  • Intrarecord Structuring
  • Interrecord Structuring
  • Module 7:  Hefty Quantities of Data

 

• What is Big Data?
  • Different Devices and Applications
• Fundamentals of Big Data
  • 3 V’s
  • Sources of Big Data
• Data Tools
• Structure
• Sampling
  • Methods of Sampling
• Chunking Principles
  • How Big Should Data Chunks Be?

3. Business Development Group-

Leading educational platform BDG offers innovative talent development and professional education programs in a variety of sectors, enabling people and companies of all sizes to succeed in the fiercely competitive global market.

Guiding people, companies, and the nation to thrive at every level of development and to be ahead of the fourth industrial revolution. They are a market leader when comes to data analytics institutes in Yerevan.

• Course Duration – 5-month course
• Course Fees-59,000 AMD monthly
• Mode of Course- offline

Contact Information-

+374 55 201209

Address-4 Hr. Kochar Street, Yerevan

4. Armenian Code Academy-

ACA is a reputable source of education that accurately forecasts and closes the labor market deficit. They offer Data analytics courses in Yerevan. Their educational center opens doors to the tech sector.

They aim to deliver high-quality educators and trainers for better innovation. They develop a steady talent stream for companies and educate both present and future IT professionals in our pursuit of excellence.

Their mission is to promote practice-based, inclusive, lifelong learning opportunities, and to match industry demands with tech education. They are modest data analytics institutes in Yerevan.

 

You will gain knowledge of how to work with and prepare data for analysis, do computations and analysis with SQL, Python, and Power BI, apply probability and statistics to practical situations, and produce visuals for data exploration.

• Mode of Course and offline both
• Duration of Course- 5 months
• Fees of Duration- 69,000 AMD per month
• 5 hours per week

Contact Information-

• +374 (44) 48-16-32
• Address-Hakob Hakobyan 3, Yerevan, Armenia.

5. Skill Up-

With the rigorous online learning environment offered by Skill Up, you can acquire globally recognized industry-relevant skills. They provide you with the greatest courses to advance your knowledge.

It offers data analytics courses in Yerevan that are Accredited CPD courses covering all relevant facets of the constantly changing job market scenario are offered by them. In the field of online learning, they are a pioneer.

Gain a thorough understanding of Tableau data analytics and gain proficiency in Tableau storytelling. To improve data management, and comprehension of database concepts. Develop successful data-driven business plans. Also, deal with various data kinds with assurance.

• Course Name- TechMaster Certificate Program in Data Analytics
• Course Duration- 5 months

Contact Information-

+91-98188996

6. Unichrone-

They govern how to win new collaborations, how they will manage connections both internally and outside, and how will operate in partnerships. They do offer data analytics courses in Yerevan.

Their values have an impact on the hiring, skill upgrading, and performance processes of individuals. In the areas of cyber security, project management, cloud computing, IT governance, DevOps, IT software, and quality management, they offer worldwide training sessions and assessments.

Their goal is to offer distinctive training programs that create ideal career pathways for individuals worldwide and for various roles.

Participants in Yerevan’s Generative AI for Data Analyst Training program are exposed to cutting-edge technologies.

The course covers the fundamentals of generative models as well as popular tools and methods for creating text, code, images, and audiovisual content. It makes it one of the best data analytics courses in Yerevan.

 

Data Analysts Using Generative AI The Yerevan exam establishes the minimum level of knowledge required for such topics, which were covered in training. Primary generative theories like GANs and VAEs are typically at its core.

• Name of Exam-Generative AI for Data Analyst Certification Exam
• Exam Format- Multiple choice question
• Exam Duration- 60 minutes
• Total Questions- 30

7. Udemy-

Udemy was founded in 2010 and now it is a prominent online education website. It boasts 64 million students, more than 2 lakh courses, and 7,000 teachers teaching in nearly 75 languages.

Modern courses on a range of subjects, such as technology, academia, marketing, business, entrepreneurship, music, and personal development, are available on Udemy.

• Course Name- Complete Data Analyst Boot Camp
• Fees of the Course-14387.10 AMD
• 17 hours of on-demand video

8. iNeuron-

iNeuron offers online data analytics courses in Yerevan. They aim to provide effective service to students and working professionals to uplift their careers.

They focus on practical engagement to further the grasp of students on the project at hand. They provide knowledge of concepts and aspects that help you to make data-driven decisions.

The online data analytics institutes in Yerevan offer a learning platform for affordable, top-notch instruction in the cutting-edge technologies that are reshaping the modern world.

Via an online boot camp, iNeuron offers data analytics courses in Yerevan. This course assists students in developing their decision-making, programming, and data visualization skills.

 

There are 87 modules in the curriculum for the data analytics boot camp, covering topics such as Introduction to Data Analytics, MySQL, Power BI, Tableau, and Python in great detail.

• Course Name- Data Analytics Boot Camp
• Course Duration-4 months
• Course Fees-40646.09 AMD

9. Imarticus Learning-

The award-winning ed-tech startup Imarticus Learning provides courses in technology, analytics, marketing, finance, and analytics.

We are a classroom and virtual training center offering executive, university-assured, interview-guaranteed, and certification programs. They offer online data analytics courses in Yerevan.

They offer a 100% placement guarantee. They have a job-specific curriculum that makes it one of the well-known data analytics institutes in Yerevan.

To prepare you for employment in a variety of data science professions, their staff uses an interactive module and hands-on training techniques to teach the comprehensive curriculum.

• Course Name-Post graduation in Data Science and Analytics
• Course Duration-6 months
• Course Fees- 919361.82 AMD
• Mode of Course- Online

FAQ’s

1. What is the pay after completing the data analytics courses in Yerevan?

After completing the data analytics courses in Yerevan, you can expect a pay of, average salary of AMD 415,000 per month, the estimated total pay for a data analyst in the Yerevan area is AMD 498,363 per month.

2. Can anyone apply for the data analytics courses in Yerevan?

Yes, anyone can apply for the data analyst courses in Yerevan. There is no necessary background for it.

3. What are the future of Data Analytics courses in Yerevan?

Data Analytics has become a part of every sector of society, leading to an increased demand for data analysts. So, there is a huge scope of data analytics courses in Yerevan.

Conclusion

There are many employment choices for individuals with technical and programming talents in data analytics. Data analysts hold fascinating positions with excellent incomes. There is a growing need for data analysts in practically every industry where significant amounts of data are collected.