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コース概要
Introduction to Google Gemini AI
- Overview of AI in data analysis
- Capabilities of Google Gemini AI
- Setting up the Gemini AI environment
Connecting Data Sources
- Importing data into Gemini AI
- Data cleaning and preprocessing
- Ensuring data security and privacy
Exploring Data with Gemini AI
- Using natural language queries
- Understanding Gemini AI's responses
- Advanced query techniques
Data Analysis and Insights
- Identifying patterns and anomalies
- Statistical analysis with Gemini AI
- Predictive modeling and forecasting
Data Visualization
- Designing effective visualizations
- Customizing charts and graphs
- Interactive dashboards with Gemini AI
Communicating Insights
- Storytelling with data
- Preparing reports and presentations
- Best practices for data-driven decision making
Summary and Next Steps
要求
- Basic understanding of data analysis concepts
- Familiarity with data visualization tools is recommended
Audience
- Data analysts
- Business professionals
21 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.
