在 深圳 完成此讲师指导的现场培训的参与者将获得对 Big Data 及其相关技术、方法和工具的实用、真实理解。
参与者将有机会通过动手练习将这些知识付诸实践。小组互动和教师反馈构成了课程的重要组成部分。
本课程首先介绍了 Big Data 的基本概念,然后进入用于执行 Data Analysis 的程式设计语言和方法。最后,我们讨论了支援 Big Data 存储、分散式处理和 Scala 特性的工具和基础设施。
完成此培训的参与者将获得对 Data Science 及其相关技术、方法和工具的实际、真实理解。
参与者将有机会通过动手练习将这些知识付诸实践。小组互动和教师反馈构成了课程的重要组成部分。
本课程首先介绍了 Data Science 的基本概念,然后进入了 Data Science 中使用的工具和方法。
观众
This instructor-led, live training in 深圳 (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.
By the end of this training, participants will be able to:
Set up a development environment that includes Python, Pandas, and NumPy.
Create a data analysis application using Pandas and NumPy.
Perform advanced data wrangling, sorting, and filtering operations.
Conduct aggregate operations and analyze time series data.
Visualize data using Matplotlib and other visualization libraries.
In this instructor-led, live training in 深圳, participants will learn how to create a time series data application using kdb+ and q.
By the end of this training, participants will be able to:
Understand the difference between a row-oriented database and a column-oriented database.
Select data, write scripts and create functions to carry out advanced analytics.
Analyze time series data such as stock and commodity exchange data.
Use kdb+'s in-memory capabilities to store, analyze, process and retrieve large data sets at high speed.
Think of functions and data at a higher level than the standard function(arguments) approach common in non-vector languages.
Explore other time-sensitive applications for kdb+, including energy trading, telecommunications, sensor data, log data, and machine and network usage monitoring.
这种以讲师为主导的深圳现场现场培训针对希望使用的业务分析师和数据分析师 TIBCO Spotfire X 及其人工智慧功能来可视化、转换和分析数据。
在培训结束时,参与者将能够:
安装并配置 TIBCO Spotfire X。
了解 TIBCO Spotfire X 的功能和体系结构。
了解增强分析和预测分析背后的概念。
了解如何使用Spotfire X载入、处理和视觉化数据。
创建互动式和增强的数据可视化效果。
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客户评论 (25)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Tse Kiat - ST Engineering Training & Simulation Systems Pte. Ltd.
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培训师使课程与组织的要求保持一致的能力,而不仅仅是为了提供课程而提供课程。
Masilonyane - Revenue Services Lesotho
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内容很艰难,但我必须付出的额外努力说明我更好地记住和理解 Power BI。
Melvin - TLI Group
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培训师的精力、知识和教学风格
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课程材料值得称赞,对 Linux 和 Superset 进行了有见地的概述。虽然 Python 组件很全面,但它需要大量的编码熟练程度
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实践练习。最后的问答环节,关于如何在我们的组织中应用这一点。
Franciszek - Bank Millennium S.A.
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使用与我们在项目中使用的数据(光栅格式的卫星图像)更相似的数据进行更多实践练习的事实
Matthieu - CS Group
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很多实用的练习
Marcin - Narodowy Bank Polski
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讨论我们的问题
Rr Dwi Putri Periska Sari - PT. Becton Dickinson Indonesia
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Data management, reporting and statistics concepts.
Dumisani - Interfront SOC Ltd
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The training materials.
Mona Dobre - DB Global Technology
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It was insightful and I gained a lot of data analysis skills
Mamonyane Taoana - Road Safety Department
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Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.
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sharing experiences and sharing other materials not included in the package.
BRYAN SANTOS - Mizuho Bank Ltd - Manila Branch
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What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs
Ernesto Sitoe Junior - Electricidade de Mocambique
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All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
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Understanding big data beter
Shaune Dennis - Vodacom
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我喜欢 Pablo 的风格,他涵盖了很多主题,从报告设计、html 定制到实现简单的 ML 算法。Good 平衡理论信息/练习。Pablo 真的涵盖了我感兴趣的所有主题,并全面回答了我的问题。
Cristian Tudose - SC Automobile Dacia SA
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Got to know new features in OS which I wasn't aware before.
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Good hands on experience with the tool and excellent documentation provided