Introduction to Data Analytics
Offline or online
59,000 - 69,000 AMD/month
Learn from industry experts!
Get practical knowledge from those who successfully work in the industry.
Our curriculum specialists work on providing a program with a clear path and necessary theoretical information.
Data Engineer at Questrade Financial Group
Senior Data Analyst at Buymie
Senior Data Analyst at Sololearn
SML Researcher at Pixeria Lab
Business/Data Analyst at James Edition
The quality of our courses is based on the structural organization of the lesson process: theoretical and practical lessons, homework, out-of-class communication with the lecturer.
During the lectures, students get theoretical knowledge, get acquainted with new technologies and working methodologies and discuss the materials.
During the seminars, the students implement the knowledge they received in the theoretical classes. The tutors provide individualized support to each student discussing the problems they encountered.
We are ready to provide comprehensive information about the courses, present their features and possible perspectives, and help you make a final decision. Throughout the admission and study process, the students will be in touch with the course coordinator.
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- What is Data Analytics?
- Introduction to data and it’s different fields
- The relationships between Data Analytics, Engineering and Science
- Data career paths
- Databases and basic manipulation with data
- Introduction to SQL
- SQL basic commands
- SQL built in functions and subqueries
- SQL joins and unions
- SQL Advanced functionality
- Introduction to Python
- Python fundamentals and basic commands
- Python main data types
- Conditional and loops
- Working with Python libraries
Power BI (replaceable with Tableu)
- Introduction to Power BI
- Power query editor
- Power BI Desktop overview
- Data modeling and filter flow
- Data normalization, star and snowflake schemas
- Dimensions and fact tables
- Table relationships, primary and foreign keys
- Data exploration, research and analysis
- Data visualization, insights and presentation
Operations Analyst @ Praemium
The Data Analytics Course organized by Armenian Code Academy provides all the basic knowledge and technical skills of this highly demanded profession. Our trainer focused on analysis and calculations using Microsoft Excel spreadsheets, SQL, and Python programming language. Also we have been able to visualize and present data with Power BI - one of the commonly used tools nowadays. Really useful course for those who love data and want to gain technical proficiency in it. Those tools can be used both in your existing roles and also be very helpful in landing a new data analytics role. Thanks ACA!
Product Management and Customer experience Senior Specialist @ Ameriabank
The course was quite effective and useful. During the classes, we had the opportunity to learn not only software skills related to Data Analytics but also studied the techniques of performing the analyses themselves, which was very interesting and applicable. It was important that the course was developed based on practical examples, and our tutor made efforts and put in all the time to provide us with useful knowledge.
Assistant to commercial Director @ Bacon product
I am extremely excited that there are data analysis classes in Armenia, which give professionals the opportunity to improve their skills and go up to another level. Thank you, ACA for your work and efforts to improve the quality of education.
59,000- 69,000 AMD/month
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