Tableau培訓

  1. 培訓項目
  2. Data Analysis培訓
  3. 商業智能培訓
  4. Tableau培訓
Tableau培訓

本地帶有指導的現場Tableau培訓課程通過交互式討論和實踐練習來演示如何使用Tableau創建儀表板，工作表和其他可視化功能，以更清晰地了解數據。 Tableau培訓可作為“現場實況培訓”或“遠程實時培訓”。現場實地培訓可在當地客戶所在地進行台灣或者在NobleProg公司的培訓中心台灣 。遠程實時培訓通過交互式遠程桌面進行。 NobleProg您當地的培訓提供商。

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Tableau課程大綱

課程名稱
課程時長
概觀
課程名稱
課程時長
概觀

Data Analysis with SQL, Python, and Tableau

14小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization. By the end of this training, participants will be able to:
  • Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
  • Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
  • Get a refresher on the fundamentals of Python and SQL.
  • Perform data pre-processing techniques in Python.
  • Learn how to connect Python and SQL for data analysis.
  • Create insightful data visualizations and charts with Tableau.

Data analysis with Tableau

14小時
Tableau可幫助人們查看和理解數據。

Visual Reporting and Analysis with Tableau

14小時
Tableau可幫助人們查看和理解數據。

Tableau Advanced

14小時
Tableau可幫助人們查看和理解數據。

Tableau with Python

14小時
Tableau是一種商業智能和數據可視化工具。 Python是一種廣泛使用的編程語言，它為各種統計和機器學習技術提供支持。 Tableau的數據可視化功能和Python的機器學習功能相結合，可幫助開發人員快速構建適用於各種業務用例的高級數據分析應用程序。 在這個由講師指導的實時培訓中，參與者將學習如何結合使用Tableau和Python來執行高級分析。 Tableau和Python集成將通過TabPy API完成。 在培訓結束時，參與者將能夠：
  • 使用TabPy API集成Tableau和Python
  • 使用Tableau和Python的集成來分析複雜的業務場景，只需幾行Python代碼
聽眾
  • 開發商
  • 數據科學家
課程形式
  • 部分講座，部分討論，練習和繁重的實踐練習

Tableau for Developers

21小時
Tableau是一款商業智能和數據可視化軟件。 Tableau提供了大量開發人員工具和API，用於Tableau功能的集成，自定義，自動化和擴展，以滿足特定於組織的需求。 在這個由講師指導的實時培訓中，參與者將學習如何擴展Tableau的功能以滿足其組織的特定需求。 在培訓結束時，參與者將能夠：
  • 安裝和配置Tableau （桌面，服務器，在線）。
  • 了解使用Tableau進行開發的基礎知識。
  • 使用Tableau創建和發布數據可視化和交互。
  • 使用Tableau的開發人員工具和API來為其組織定制和擴展Tableau的功能。
課程形式
  • 部分講座，部分討論，練習和繁重的實踐練習
注意
  • 要申請本課程的定制培訓，請聯繫我們安排。

Tableau Fundamentals

14小時
這是一個Tableau用戶初學者課程;它適用于任何希望處理數據的人，並且旨在幫助您使用Tableau中的主要功能。 在課程中，您將能夠： 連接到您的數據。 編輯並保存數據源。 了解Tableau術語。 使用Tableau界面/範例有效地創建強大的可視化效果。 創建基本計算，包括基本算術計算，自定義聚合和比率，日期數學和快速表格計算。 使用以下可視化類型來表示您的數據： 交叉標簽地理地圖熱圖樹圖餅圖和條形圖雙軸和組合不同標記類型的圖表突出顯示表散點圖構建儀表板以共享可視化。

Tableau Intermediate Training Course

14小時
Tableau helps people see and understand data.

Data Science with Tableau and R Programming

14小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at data scientists who wish to program in R for Tableau. By the end of this training, participants will be able to:
  • Implement Tableau analytics with R.
  • Return values to Tableau with learning algorithms in R.
  • Structure and visualize R functions in Tableau.
  • Make data driven decisions for business operations.

Tableau Fundamentals to Advanced

28小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau. By the end of this training, participants will be able to:
  • Connect to your data.
  • Edit and save a data source.
  • Understand Tableau terminology.
  • Use the Tableau interface / paradigm to effectively create powerful visualizations.
  • Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
  • Represent your data using different visualization types.
  • Build dashboards to share visualizations.

Tableau Server for System Administrators

28小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at system administrators who wish to set up and manage Tableau Server. By the end of this training, participants will be able to:
  • Install and configure Tableau Server.
  • Set up users, roles and permissions to get a team up and running.
  • Access various data sources, manage content and access to the content by users.
  • Automate administrative tasks, including monitoring and log management.
  • Deploying Tableau Server to cluster.

Tableau Prep Builder

21小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at data analysts who wish to prepare and shape data using Tableau Prep Builder. By the end of this training, participants will be able to:
  • Install Tableau Prep.
  • Understand and implement a Data Science Workflow.
  • Read data from a variety of sources, such as Excel and databases.
  • Prepare, shape and sample data for analysis in Tableau Desktop.
  • Explore and validate data.
  • Create and publish Tableau Prep flows.

Data Visualization for Nonprofit using Tableau Public

21小時
This course is designed for the learner who has never used Tableau before, or who may need a refresher.  It will guide you through the steps necessary to create your first visualization from the beginning. You will also learn how to apply essential design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with the broader audience.

Data Visualization Principles for Tableau

14小時
This course teaches you about human perception and how to leverage it to deliver the best insights. You will get familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusivity. You will also understand the similarities and differences between exploratory and explanatory analysis. You will discover the usage of the charts and learn how to choose the most suitable one. At the end of the course, you will know how to implement the design principles is visualizations created using Tableau software.

From Tableau Beginners to Advanced User

28小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at ___ who wish to use ___ to ___. By the end of this training, participants will be able to:
  • The course is divided into lectures dedicated to each topic, followed by practical exercises. The course will end with 30 minutes test and 60 minutes project assignment. Course milestones:
  • Get familiar with Tableau interface.
  • Connect to and work with your data.
  • Use the Tableau features.
  • Build an insightful visualization.
  • Share your work with a broader audience.
  • Format of the Course:
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
  • Knowledge test and hands-on project at the end of the course

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