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Количество сотрудников:
500-1500

Google Advanced Data Analytics Capstone

Тип компании:
Тренинг
Категория:
Исследование/Анализ данных
Язык:
Английский
Местонахождение:
Ереван
Цена:
Бесплатный
День проведения:
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29 Июнь 2023
Детали тренинга:

Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 6 months.

Кто может принять участие:

Build your Data Analysis expertise

This course is part of the Google Advanced Data Analytics Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Google
Дополнительная информация

There are 3 modules in this course

You’re almost there! This is the seventh and final course of the Google Advanced Data Analytics Certificate. In this course, you have the opportunity to complete an optional capstone project that includes key concepts from each of the six preceding courses. During this capstone project, you'll use your new skills and knowledge to develop data-driven insights for a specific business problem.

Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.

By the end of this course, you will:

-Create and/or update your resume

-Create and/or update your professional portfolio

-Develop a data frame

-Compose data visualizations

-Use statistics to analyze and interpret data

-Build, interpret, and evaluate regression models

-Utilize machine learning techniques in Python

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