Data science

It helps to analyze various types of data, such as financial data, customer feedback, sales figures, and more, to draw conclusions. Lessons are held twice a week, each lasting 1 hour, over a total period of 4 months. Maestro School gives you the opportunity to develop your analytical thinking skills!

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Learning Program

Students learn topics such as statistical analysis, data visualization, and decision support systems, developing skills to apply data analytics in real-life scenarios. As a result of this curriculum at Maestro School, students' analytical thinking and problem-solving abilities are enhanced!

Tools you will use

Python

SQL

Python

SQL

Identifying trends and patterns

Data analytics helps to predict future changes and customer behavior.

Increased efficiency

By optimizing resources and operations, more results can be achieved with less cost.

Better decision-making

It is possible to make more accurate and informative decisions based on data.

Study duration

4months

Per week

2times

Each lesson

1hours

Our teachers

Nijat Akhundzada

Software engineer | Instructor

Work experience (years):

Workplaces:

Maestro School

Towards achievement

At Maestro School, every lesson, every project, and every experience is the foundation for your child's successful achievements.

Frequently asked questions

Data analytics is a field that helps companies make correct decisions by collecting and analyzing large volumes of data. Every sector — from marketing and finance to healthcare and e-commerce — needs data analytics.

Python, SQL, Excel, Tableau, and Power BI are the core tools of a data analyst — at Maestro School, all of these are taught using real datasets. Python libraries like Pandas and NumPy form the core of data analysis.

Basic statistics concepts are sufficient — advanced mathematics is not mandatory. The necessary mathematical concepts are explained practically within the course at Maestro School.

Yes — career transitions into data analytics from fields like accounting, economics, teaching, and marketing are increasingly common, as the field combines analytical thinking with technical tools. The course at Maestro School starts from scratch.

A data analyst analyzes existing data and draws conclusions; a data scientist builds machine learning models that predict the future. Data analytics is more accessible for beginners, while data science requires deeper mathematics and programming.