Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách gia công
bấm vào để đọc thêmThể loại:
Computers - Programming
Năm:2020
Nhà xuát bản:Apress
Ngôn ngữ:english
Trang:440 / 425
This easy-to-follow guide provides R and Python recipes to help you
learn and apply the top languages in the field of data analytics to your
work in Microsoft Power BI. Data analytics expert and author Ryan Wade
shows you how to use R and Python to perform tasks that are extremely
hard, if not impossible, to do using native Power BI tools. For example,
you will learn to score Power BI data using custom data science models
and powerful models from Microsoft Cognitive Services.
The R and
Python languages are powerful complements to Power BI. They enable
advanced data transformation techniques that are difficult to perform in
Power BI in its default configuration but become easier by leveraging
the capabilities of R and Python. If you are a business analyst, data
analyst, or a data scientist who wants to push Power BI and transform it
from being just a business intelligence tool into an advanced data
analytics tool, then this is the book to help you do that.
What You Will Learn
Create advanced data visualizations via R using the ggplot2 package
Ingest data using R and Python to overcome some limitations of Power Query
Apply machine learning models to your data using R and Python without the need of Power BI premium compacity
Incorporate
advanced AI in Power BI without the need of Power BI premium compacity
via Microsoft Cognitive Services, IBM Watson Natural Language
Understanding, and pre-trained models in SQL Server Machine Learning
Services
Perform advanced string manipulations not otherwise possible in Power BI using R and Python
Who This Book Is For
Power
users, data analysts, and data scientists who want to go beyond Power
BI’s built-in functionality to create advanced visualizations, transform
data in ways not otherwise supported, and automate data ingestion from
sources such as SQL Server and Excel in a more concise way
