Data analytics is one of the most sought—after professions of our time, and

our 26-week course "Data Analytics on Power BI" as part of the Tech program

Orda is actively continuing! Students immerse themselves in the world of Business Intelligence, mastering

the skills necessary for a successful career as a Junior BI Analyst.

 The course includes:

• Study of data visualization and analysis tools in Power BI.

• Practical work with SQL for data modeling and synthesis.

• Mastering DAX formulas and the M language for advanced analytical tasks.

• Implementation of real business cases under the guidance of experienced mentors.

Why is data analytics the profession of the future?

Today, data analytics is one of the most sought-after areas in the market

labor. In a world where data has become the new oil, companies rely on analytics to

optimize processes, reduce costs and increase competitiveness.

1. Digitalization of all industries

From healthcare to retail, data is used everywhere. For example,

Amazon personalizes recommendations for customers, and hospitals use

analytics for predicting diseases.

2. Economy and efficiency

Companies like Walmart use analytics to manage inventory and

reducing costs, which helps to avoid shortages of goods.

3. Competitive advantage

Netflix uses analytics to create popular TV series, and UPS

optimizes delivery routes to increase efficiency.

What skills make analysts in demand?

• Knowledge of Python and SQL for data processing and creation of analytical models.

• Ability to visualize data in Power BI and Tableau.

• Working with big data (Apache Spark, Hadoop).

• Business thinking that helps apply data to solve business problems.

Geometry Academy recommends life hacks for studying data analytics

1. How do I choose a destination?

- Determine what is closer to you: data visualization, big data processing

data or machine learning.

- Look at current vacancies to understand what skills are required.

mostly.

2. The best sources for studying data analytics:

-Books: "Data Science for Business", "Python for Data Analysis" by Wes

McKinney.

-Free courses:

Google Data Analytics on Coursera.

SQL for Data Analysis from Mode Analytics.

-Paid courses:

Geometry Academy, DataCamp, Udemy. 3. Practice: where to apply knowledge?

• Kaggle and HackerRank are platforms for competitions and analytics tasks.

• Volunteer projects for NGOs.

• Create pet projects: analyze data from open sources,

for example, statistics on COVID-19.

4. How not to burn out?

- Set realistic goals: learn one tool at a time.

- Keep a success diary, recording what you have already mastered.

- Find a community of like-minded people: forums, Telegram chats, groups in

Astana Hub Community.

Tech Orda and Geometry Academy give students the opportunity to not only get

knowledge, but also to put it into practice. In the classroom, students create interactive

dashboards automate ETL processes and solve real business cases. These skills

they provide competitive advantages in the labor market.

Follow the progress of our students on the Astana Hub portal and become a part of

The innovation community!

Learn more about the course "Data Analytics on Power BI"

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