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Avatari i PĂ«rdoruesit
$15 USD / orë
Flamuri i OMAN
khasab, oman
$15 USD / orë
Aktualisht është 12:59 m.d. këtu
U bashkua korrik 28, 2023
0 Rekomanadimet

Fatma A.

@FatmaDalali

 0,0 (0 përshtypje)
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$15 USD / orë
Flamuri i OMAN
khasab, oman
$15 USD / orë
Asnjë
Punët e Plotësuara
Asnjë
Brenda Buxhetit
Asnjë
Në Kohë
Asnjë
Shpeshtësia e Rimarrjes në Punë

Data Analyst Freelance | Dashboard Creator

holds a nanodegree in Data Fundamentals and Digital freelancer. I have experience in Python, Excel and Power PI. I can create an interactive dashboard that helps the client make the right decisions based on data. Strengths: Problem-Solving: I am a natural problem solver and enjoy tackling complex data challenges to find innovative solutions. Attention to Detail: I pay meticulous attention to detail when working with data, ensuring accuracy and reliability in all my analyses. Adaptability: I thrive in dynamic environments and am quick to adapt to new tools, technologies, and project requirements. Client-Centric Approach: I prioritize understanding my clients' needs and goals, tailoring my services to deliver value that aligns with their business objectives. In summary, I am a data-driven individual with a passion for exploring insights from data and creating powerful visualizations. My goal as a freelancer is to help businesses harness the potential of their data and make informed decisions for success. If you have any specific project or need further information about my services, feel free to reach out. I look forward to the possibility of working together and contributing to your data analysis needs.
Freelancer Javascript Developers Oman
Shikoni të gjitha Javascript Developers në Oman

Kontaktoni Fatma A. për punën tuaj

Identifikohu për të diskutuar çdo detaj gjatë bisedës.

Portofol

11386465
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
11386423
Overview In this project, you will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. You will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
Project:Explore US Bikeshare Data
Overview In this project, you will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. You will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
Project:Explore US Bikeshare Data
11386465
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
data analysis and create a file to share that documents your findings. You should start by taking a look at dataset and brainstorming what questions you could answer using it. Then you should use pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers.
Investigate a Dataset - [TMDb Movie Dataset]
11386423
Overview In this project, you will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. You will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
Project:Explore US Bikeshare Data
Overview In this project, you will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. You will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
Project:Explore US Bikeshare Data

Vlerësimet

Ndryshimet u ruajtën
Asnjë vlerësim këtu!

PĂ«rvoja

CRE Trainee

Sohar International Bank
qer 2022 - E tashme
Provide solutions and services to customers Submission of daily, weekly, and monthly reports Support staff when needed writing Letters (responding to official letters)

Arsimi

Bachelor of Engineering in Data Communication and Systems Administration

Oman 2014 - 2019
(5 years)

Kualifikimet

Machine Learning Advanced Certification Training

Simplilern
2020
an intensive and specialized program designed to enhance your skills and knowledge in the field of machine learning. This training targets individuals who already have a foundational understanding of machine learning concepts and are looking to deepen their expertise

Digital Freelancer Nanodegree

udacity
2023
help individuals develop the skills and knowledge needed to become successful freelancers . -Freelancing Fundamentals -Effective communication and client management skills, including how to understand client needs, negotiate contracts, and provide excellent customer service. -Techniques for managing your time and workload as a freelancer to ensure productivity and work-life balance. - Understanding legal and ethical issues -Client Acquisition: Strategies for finding and acquiring clients

Data Fundamentals-Nanodegree

Udacity
2023
A nanodegree , focused, and cover the foundational concepts and skills related to data analysis, data science, or data engineering. Here are some topics that included it: -Techniques for cleaning, exploring, and visualizing data. Learning to work with data using tools like Python and libraries like pandas and matplotlib. -Understanding the ethical considerations and privacy issues related to handling and analyzing data. - Familiarity with various data tools and technologies

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JavaScript
Data Entry
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Javascript Developers in Oman
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