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$7 USD / ora
Bandiera: NETHERLANDS
eindhoven, netherlands
$7 USD / ora
Attualmente sono le 6:03 PM qui
Registrato il agosto 25, 2011
0 Consigli

Hend Z.

@hendmohamedahmed

 0,0 (0 valutazioni)
0,0
0,0
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$7 USD / ora
Bandiera: NETHERLANDS
eindhoven, netherlands
$7 USD / ora
NA
Lavori completati
NA
Nel budget
NA
Nei tempi previsti
50%
Tasso di riassunzione

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.
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Portfolio

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

Valutazioni

Modifiche salvate
Nessuna valutazione da vedere qui!

Esperienza

Computer Teacher and it specialist

El Orman smart school
giu 2017 - giu 2018 (1 anno)
- 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
lug 2011 - dic 2011 (5 mesi, 1 giorno)
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
ago 2008 - gen 2010 (1 anno, 5 mesi)
- 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

Formazione

Bachelor's degree of computers and information

Cairo University, Egypt 2004 - 2008
(4 anni)

Certificati

Data Analysis professional and advanced nanodegree

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

Contatta Hend Z. per il tuo lavoro

Accedi per discutere i dettagli via chat.

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Certificazioni

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

Competenze principali

PHP
Python
Copywriting
Linux
Data Processing

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