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コース概要
Introduction
- Overview of Tableau
- Fundamentals of Python, R, and SQL
Getting Started
- Setting up the development environment
- Understanding software integration
Data Analysis with Python
- Python fundamentals and programming
- Importing libraries and datasets
- Wrangling data
- Data normalization and formatting
- Exploratory data analysis
- Performing regression analysis
- Model development and evaluation
- Visualizing Data
Data Analysis with R
- R fundamentals and programming
- Preparing data
- Classifying and working with data in R
- Using functions
- Visualizing Data
Data Analysis with SQL
- Setting up the database
- Connecting Python and SQL
- Connecting R and SQL
- SQL aggregations and joins
- Querying the database
- Manipulating data
Data Visualization Using Tableau
- Tableau design principles for visualization
- Creating dashboards, charts, and tables
- Mapping techniques
- Regressions in R and Tableau
- Advanced analytics with R and Tableau
- Practical examples and use cases
Troubleshooting
Summary and Next Steps
要求
- Hands-on experience with data analysis (e.g., using Excel)
- General understanding of database concepts
- No programming experience required
Audience
- Data analysts
35 時間
お客様の声 (5)
トレーナーは教材と内容を私たちにとって最適だと考えたものに適応させ、成功しました。トレーニングの質は素晴らしかったです。
Jorge Sanchez Hernandez - CSMART - Carnival
コース - QGIS for Geographic Information System
Machine Translated
A lot of patience
Mateusz - WestWind Energy Polska Sp. z o.o.
Machine Translated
プロフェッショナルで非常に実用的、日常業務で役立ちます
Jozefin Rékasi - SC Automobile Dacia SA
コース - Advanced Data Analysis with TIBCO Spotfire
Machine Translated
このコースでは、私がコース開始前に興味があると言った領域、つまりデータ関係や Python スクリプトの使用について説明しました。データベースへの接続については、上級モジュールで説明します。
Cristian Tudose - SC Automobile Dacia SA
コース - Introduction to Spotfire
Machine Translated
I genuinely enjoyed the lots of labs and practices.
