Introduction to Data Analytics
What is Data Analytics?
Role of data in decision-making
Data lifecycle & workflow
Exploratory Data Analysis
Descriptive statistics
Data visualization fundamentals
Identifying patterns & anomalies
Data Collection & Management
Data sources (structured & unstructured)
Data storage systems & databases
Data pipelines & ETL basics

Data Preparation
Cleaning & preprocessing
Handling missing values & outliers
Data transformation & feature engineering
Applied Statistics
Probability basics
Hypothesis testing
Regression analysis
Machine Learning for Analytics
Supervised vs. unsupervised learning
Classification & clustering
Model evaluation metrics
Tools & Technologies
Python for analytics (Pandas, NumPy)
SQL for data queries
Visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
Real-World Applications
Business intelligence & reporting
Predictive analytics
Case studies & projects
What will you learn?
ընկերacaն
ամսական
84.000 ֏
անհատacaն

Choose your package

IndividualACA

monthly
350.000 ֏
Flexible schedule

Choice of language

Customized curriculum
Includes the ClassACA package +
Individual professional guidance
Class
Duration
6 months
Support in building a CV/Portfolio
Access to ACA's library
Practical intensive lessons
monthly
84.000 ֏
20-25 students

ClassACA

Soft-skills workshops

Popular

CompanyACA

Work with a small group
Hourly flexibility
Professional consultation
Program tailored to the group
monthly
150.000 ֏
3-4 students
Includes the ClassACA package +
Small group

What is an ACA Profession?

+
+
+
+
+
+

foundational knowledge

CV & interview
preparation

practical modules

advanced program
soft skills workshops

meetings with top professionals

Who are

the instructors?

Data Engineer at SADA

Tirayir Karapetyan

Lead Data Scientist at Digitain

Rafael Shirakyan

Senior Big Data Engineer at Grid Dynamics

Hovhannes Ayvazyan

Partners

Come and become a

Data Analyst
Frequently Asked Questions


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