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Home Education for Adults Data Analyst

Online course
Data Analyst

Dive into the world of data analytics with our comprehensive online Data Analyst course.

This course is designed to provide you with the necessary knowledge and practical skills to analyze, process and interpret large amounts of data.

Who is the online course suitable for?
Data Analyst?

For beginners

Ideal for those who want to take the first steps in data analytics, get a clear and practical introduction to key tools.

For non-IT specialists

Enables professionals from other industries to master data analytics to expand their competencies and use data in their field.

Data analysts

Enhances existing knowledge and skills by providing exposure to advanced methods and innovative tools in data analytics.

To the owners of IT companies

Helps executives better understand the potential of data analytics to improve business processes and decision-making

After completing the Data Analyst course, you will be able to:

Possess key analytics tools:

learn to work with programs and languages such as Tableau, SQL, Python, and other tools for data analysis.

Create clear data visualizations:

use tools like Tableau or Power BI to create intuitive visualizations and dashboards.

Effectively process and analyze data:

use tools and techniques to collect, clean and analyze data, revealing useful insights.

Perform statistical analysis:

apply statistical methods to interpret data and conclusions.

Make predictions based on data:

use forecasting techniques to analyze trends and predict future events.

Make informed decisions based on data:

use analytical findings to support strategic business decisions.

Engage with business users and stakeholders:

translate technical insights into business-friendly recommendations.

Improve business processes:

use data analytics to identify opportunities for optimization and efficiency in business operations.

Possess key analytics tools:

learn to work with programs and languages such as Tableau, SQL, Python, and other tools for data analysis.

Create clear data visualizations:

use tools like Tableau or Power BI to create intuitive visualizations and dashboards.

Effectively process and analyze data:

use tools and techniques to collect, clean and analyze data, revealing useful insights.

Perform statistical analysis:

apply statistical methods to interpret data and conclusions.

Make predictions based on data:

use forecasting techniques to analyze trends and predict future events.

Make informed decisions based on data:

use analytical findings to support strategic business decisions.

Engage with business users and stakeholders:

translate technical insights into business-friendly recommendations.

Improve business processes:

use data analytics to identify opportunities for optimization and efficiency in business operations.

Advantages of the profession
Data Analyst

A wide range of industries for employment:

Data Analysts are in demand in a variety of industries, from finance and marketing to healthcare and technology.

High demand on the labor market:

As the volume of data increases, the demand for skilled data analysts continues to grow.

Competitive salary:

The profession usually offers high salaries, especially with the development of experience and specialization.

Variety of tasks and projects:

Working with different types of data and in different industries provides interesting and varied tasks.

Influence on decision-making:

Data Analysts often play an important role in formulating strategies and making decisions based on data analysis.

Ability to work remotely:

Many aspects of the work can be done remotely, which provides flexibility in the choice of work environment.

How much does he earn?Data Analyst

Beginners:

specialists in Ukraine earn money at the start of their careers

from $500 to $970

month

Average:

with 1-5 years of experience, the salary level can be

from $800 to $2188

month

Experienced specialists:

with a high level of expertise, specialists can earn

from $2000 - $5000

month

Freelance and consulting:

analysts working as freelancers or as independent consultants may have different rates depending on the project and their experience.

Specialization and additional skills:

having additional skills, such as machine learning or big data, can increase salary levels.

Training program Data Analyst

This course will form a comprehensive view of the data analyst profession.

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Request a call back

Career prospects fordata analyticsafter training

IT STEP Computer Academy cooperates with local and international companies. We regularly update and post vacancies from our partners and provide students with employment opportunities.

Where do our students work?

companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work
companies where our students work

Ready to start studying on a data analytics course?

Leave an application - we will call you, tell you more about the course program and reserve a place for you in the group

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Frequently Asked Questions

How do I know if the Data Analyst profession is right for me?

Sign up for a free consultation with our manager and he will help you choose a course.

What does a data analyst do?

Processes and analyzes data using various analytical tools. Visualize data: Using tools like Tableau or Power BI to create intuitive visualizations and dashboards.

Who can study, and are there any age or knowledge restrictions?

Anyone over the age of 18 can study on the course, regardless of basic education. There is no need to take any entrance exams or tests.

What document/certificate will I receive after completing the Academy online?

IT Step Computer Academy diploma in two languages: Ukrainian and English.

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