Unlock Your Data Analyst Career: Power BI, SQL, Python & AI Course
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Курс Data Analyst предлагает обучение основам дата-аналитики с использованием AI, включая Excel, SQL, Python и Power BI. Программа включает практические задания, карьерное сопровождение и поддержку менторов, что помогает студентам получить необходимые навыки для трудоустройства в IT-компаниях.
main points
unique insights
practical applications
key topics
key insights
learning outcomes
• main points
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Практическая направленность с множеством заданий
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Поддержка карьерного сопровождения для студентов
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Обучение актуальным инструментам и технологиям в аналитике данных
• unique insights
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Курс включает использование AI инструментов, таких как ChatGPT и DataRobot
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Финальный проект позволяет студентам применить все изученные навыки на практике
• practical applications
Курс предлагает обширные практические задания и реальный опыт работы с инструментами аналитики, что значительно повышает шансы на трудоустройство.
• key topics
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Основы Excel и визуализации данных
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Программирование на SQL и проектирование баз данных
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Использование Python для анализа данных
• key insights
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Курс разработан с учетом требований работодателей
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Возможность трудоустройства после завершения курса
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Поддержка менторов и карьерное сопровождение
• learning outcomes
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Умение работать с Excel для анализа и визуализации данных
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Навыки программирования на SQL для управления базами данных
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Способность использовать Python для анализа данных и машинного обучения
In today's data-driven world, the role of a Data Analyst is more critical than ever. This course provides a comprehensive introduction to data analytics, leveraging the power of Artificial Intelligence (AI) to streamline processes and derive actionable insights. Learn how to transform raw data into valuable business intelligence.
“ Course Overview: Data Analyst Program in Odessa
The Data Analyst course in Odessa is designed for beginners and professionals alike. It offers a 100% up-to-date curriculum tailored to meet employer demands. The program emphasizes practical application, ensuring graduates are well-prepared for new job opportunities or career advancement in data analytics. The course structure is carefully designed with input from Israeli specialists.
“ Key Modules: Excel, SQL, Python, and Power BI
This course covers essential tools and technologies for data analysis:
* **Excel:** Master the fundamentals and advanced functions of Excel for data visualization and interactive tables.
* **SQL:** Learn database design and advanced SQL programming for data management and manipulation.
* **Python:** Utilize Python for data integration, including libraries like pandas and numpy for machine learning and predictive analytics.
* **Power BI:** Gain proficiency in Power BI for data visualization, reporting, and creating interactive dashboards.
“ Integrating AI Tools in Data Analysis
Explore how to integrate AI tools such as ChatGPT, DataRobot, RapidMiner, and AI functionalities within Power BI to simplify data analysis tasks and find optimal solutions. This module focuses on leveraging AI to enhance data analytics workflows.
“ Real-World Projects and Business Intelligence
Students will engage in real-world projects, including:
* **Business Intelligence:** Analyzing employee databases and other datasets to derive actionable insights.
* **Final Project:** Creating a comprehensive data analysis project using learned tools, including data analysis, hypothesis testing, modeling, and report building.
“ Career Opportunities and Job Placement Support
The course includes a two-week career support module, focusing on resume preparation, portfolio development, LinkedIn profile optimization, interview preparation, and job search assistance. DAN.IT is committed to helping students secure employment in IT companies, with a high percentage of graduates successfully placed.
“ Course Details: Duration, Cost, and Support
The Data Analyst course spans six months and includes 60 lessons. Support includes mentorship, a modern LMS system, course coordination, and a knowledge assessment system. Flexible payment options are available, including installment plans and discounts for full upfront payment.
“ Frequently Asked Questions about the Data Analyst Course
Common questions addressed include age restrictions, course format, homework load, instructor consultations, admission requirements, skills acquired, project details, post-training outcomes, job placement processes, course completion time, recovery options for missed classes, laptop requirements, and prerequisite knowledge.
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