Freelancer标志它是如何运作的 浏览工作
登录 注册
发布项目
个人资料封面照片
您正在关注
关注用户错误。
该用户不允许他人关注他们。
您已经关注了这个用户。
您的会员计划仅允许0个关注。升级在此。
成功取消关注
取消关注用户错误
您已成功推荐
推荐用户错误。
出问题了，请刷新页面并重新尝试。
电子邮箱已成功验证。
用户头像
$7 USD / 小时
NETHERLANDS的国旗
eindhoven, netherlands
$7 USD / 小时
目前这里是7:57 下午
八月 25, 2011已加入
0 推荐

Hend Z.

@hendmohamedahmed

 0.0 (0条评论)
0.0
0.0
0%
0%
$7 USD / 小时
NETHERLANDS的国旗
eindhoven, netherlands
$7 USD / 小时
不适用
工作已完成
不适用
在预算内
不适用
按时
50%
重复雇用率

Data analyst

I have experience in data analysis with python using different libraries to gather, wrangle, explore, and visualize the data. 1- gathering the dataset from various sources like CSV files, excel sheets, APIs, JSON, and using web scraping. 2- wrangling the data via assessing them to find the missing and outlier data and correct them. 3- exploring the data to find patterns and meaningful statistics. 4- Making data visualization to make decisions.
Freelancer PHP Developers Netherlands
查看所有PHP Developers在Netherlands

联系Hend Z.询问您的工作详情

登录并通过聊天讨论所有细节。

文件夹

8805244
I have learned how to scrape, parse, and read web data as well as access data using web APIs and working with HTML, XML, and JSON data formats in Python.
Using python to Access Web data
8805232
I have learned these points in this course. Data wrangling, which consists of: 1- Gathering data from different resources. 2- Assessing data 3- Cleaning data 4- Storing, analyzing, and visualizing wrangled data Reporting Data Visualization Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data. Practical Statistics : Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models
Advanced data analysis Nanodegree
8805228
- I can work in the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data and how to work with data in Python using libraries like NumPy and Pandas. - Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it then wrangling efforts through analyses and visualizations
Data visualization_tmdb-movies
- I can work in the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data and how to work with data in Python using libraries like NumPy and Pandas. - Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it then wrangling efforts through analyses and visualizations
Data visualization_tmdb-movies
- I can work in the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data and how to work with data in Python using libraries like NumPy and Pandas. - Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it then wrangling efforts through analyses and visualizations
Data visualization_tmdb-movies
- I can work in the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data and how to work with data in Python using libraries like NumPy and Pandas. - Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it then wrangling efforts through analyses and visualizations
Data visualization_tmdb-movies
8805227
Use Python to understand U.S. bike-share data. Calculate statistics and build an interactive environment where a user chooses the data and filters for a dataset to analyze.
Data analysis for bike share systems for three major cities
8805226
For this project, I will be working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. Your goal is to work through this notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision. using these parts in the project. Part I - Probability Part II - A/B Test Part III - Regression
Analyze A/B Test Results
For this project, I will be working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. Your goal is to work through this notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision. using these parts in the project. Part I - Probability Part II - A/B Test Part III - Regression
Analyze A/B Test Results
8805225
Using Python and its libraries, I will gather data from a variety of sources (Twitter using APIs )and in a variety of formats(JSON file), assess its quality and tidiness, then clean it. This is called data wrangling. I will document the wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python (and its libraries). - package installation instructions. pandas NumPy requests tweepy JSON
Data visualization techniques and Data Scraping from twitter
Using Python and its libraries, I will gather data from a variety of sources (Twitter using APIs )and in a variety of formats(JSON file), assess its quality and tidiness, then clean it. This is called data wrangling. I will document the wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python (and its libraries). - package installation instructions. pandas NumPy requests tweepy JSON
Data visualization techniques and Data Scraping from twitter
8805244
I have learned how to scrape, parse, and read web data as well as access data using web APIs and working with HTML, XML, and JSON data formats in Python.
Using python to Access Web data
8805232
I have learned these points in this course. Data wrangling, which consists of: 1- Gathering data from different resources. 2- Assessing data 3- Cleaning data 4- Storing, analyzing, and visualizing wrangled data Reporting Data Visualization Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data. Practical Statistics : Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models
Advanced data analysis Nanodegree
8805228
- I can work in the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data and how to work with data in Python using libraries like NumPy and Pandas. - Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it then wrangling efforts through analyses and visualizations
Data visualization_tmdb-movies
- I can work in the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data and how to work with data in Python using libraries like NumPy and Pandas. - Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it then wrangling efforts through analyses and visualizations
Data visualization_tmdb-movies
- I can work in the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data and how to work with data in Python using libraries like NumPy and Pandas. - Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it then wrangling efforts through analyses and visualizations
Data visualization_tmdb-movies
- I can work in the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data and how to work with data in Python using libraries like NumPy and Pandas. - Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it then wrangling efforts through analyses and visualizations
Data visualization_tmdb-movies
8805227
Use Python to understand U.S. bike-share data. Calculate statistics and build an interactive environment where a user chooses the data and filters for a dataset to analyze.
Data analysis for bike share systems for three major cities
8805226
For this project, I will be working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. Your goal is to work through this notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision. using these parts in the project. Part I - Probability Part II - A/B Test Part III - Regression
Analyze A/B Test Results
For this project, I will be working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. Your goal is to work through this notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision. using these parts in the project. Part I - Probability Part II - A/B Test Part III - Regression
Analyze A/B Test Results
8805225
Using Python and its libraries, I will gather data from a variety of sources (Twitter using APIs )and in a variety of formats(JSON file), assess its quality and tidiness, then clean it. This is called data wrangling. I will document the wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python (and its libraries). - package installation instructions. pandas NumPy requests tweepy JSON
Data visualization techniques and Data Scraping from twitter
Using Python and its libraries, I will gather data from a variety of sources (Twitter using APIs )and in a variety of formats(JSON file), assess its quality and tidiness, then clean it. This is called data wrangling. I will document the wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python (and its libraries). - package installation instructions. pandas NumPy requests tweepy JSON
Data visualization techniques and Data Scraping from twitter

评论

变更已保存
这里没有评论！

经验

Computer Teacher and it specialist

El Orman smart school
6月 2017 - 6月 2018 (1 年)
- Teach students and learners to use computers. - Planning lessons and activities that facilitate students' acquisition of basic and advanced computer skills. - Instructing in a manner that develops students' confidence in their abilities. - Observing and managing classroom dynamics. - Invigilating and grading projects, quizzes, and examinations. - Tracking and communicating students' advancement throughout the course. - Downloading important software updates and maintaining the hardware.

Software Developer

Sapphire Group
7月 2011 - 12月 2011 (5 个月, 1 天)
Responsible for developing systems Tools used include :MS SQL SERVER 2005 ,NetPlus - Transform the system that used dos software to windows software. - Make a new design for this software - Testing the software

System Analyst

IT-BLOCKS | Professional Software Services
8月 2008 - 1月 2010 (1 年, 5 个月)
- Act as a system analyst of “Supreme Council of Universities” MIS Project. - analyse requirements using interviews, document analysis, requirements workshops, site visits, - Business process descriptions, use cases, scenarios, and business analysis. - Design database schema - work closely with the development team to implement the solution and provide required SQL queries

教育

Bachelor's degree of computers and information

Cairo University, Egypt 2004 - 2008
(4 年)

资质

Data Analysis professional and advanced nanodegree

Udacity
2020
I got the nanodegree certificate in data analysis professional and advanced track

联系Hend Z.询问您的工作详情

登录并通过聊天讨论所有细节。

认证

优选威客
身份已验证
支付已验证
电话已验证
邮箱已验证
Facebook已关联

资质

preferredfreelancer-1.png Preferred Freelancer Program SLA 1 97%

顶级技能

PHP
Python
Copywriting
Linux
Data Processing

浏览相似威客

PHP Developers in Netherlands
PHP Developers
Python Developers
Copywriters

浏览相似作品

PHP
Python
Copywriting
Linux
之前的用户 下一个用户
邀请已发送成功！
谢谢！我们已通过电子邮件向您发送了索取免费积分的链接。
发送电子邮件时出现问题。请再试一次。
Freelancer标志 P.R. China / 中文(简体) 帮助和支持 威客分类项目竞赛威客企业会员优选威客计划项目管理本地工作Photo Anywhere 作品展示开发人员API获得认证桌面APP 关于关于我们如何运作安全投资方网站地图故事消息团队奖励新闻发布职业 条款隐私政策条款和条件版权政策行为准则费用及收费合伙人Escrow.comLoadshiftWarrior Forum 应用程序苹果APP商城图标Google Play标志
复制到剪切板失败，请修改权限后重试。
复制到剪贴板。
已注册用户 发布工作总数
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
加载预览
授予地理位置权限。
您的登录会话已过期而且您已经登出，请再次登录。