Data science

Summary

First I finished the IBM data science professional certificate through coursera, This certificate consists of nine courses through these courses I managed to gain the below knowledge.

The tools and the techniques that can be used through the whole process of analyzing the data and extracting insights.

Get in depth details in data analysis methodology.

Use python and SQL.

Each course consisted of mini projects and labs to gain in practice knowledge.

Mainly the courses provided me with the required knowledge in data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms.

Second I took a nanodegree scholarship on data analysis from udacity - one million Arab coders intuitive- after being shortlisted as the top 0.01% of the students who applied, this nanodegree consisted of the following.

I have studied normal distribution theory, sampling distributions, central limit theorem, confidence intervals, hypothesis test and regression.

I studied the process of wrangling the data from collecting, assessing to cleaning the data using python.

Data visualization and its features,

here is part of my work done through this course :

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Third I am officially a certified data analyst from Microsoft, here is a sample of my projects done on power BI:

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Fourth Microsoft excel, I have been using it for very long time, and on the track to finish more advanced course from MACQUARIE UNIVERSITY, It mainly focus on using excel in efficient way for business

At the end my journey so far wasnt that easy but I managed to have strong background which will qualify me to take a step further by applying for this job opening I am so thrilled to be joining your team as soon as possible.

Expectations

*innovation
*an opportunity to grow

Employment Preferences
Expected Base Salary

**,000 USD

Academic Degree
Experience

Total Professional Experience

3 years

Startup Experience

no experience

Big-Tech Companies

1 year

Enterprise Experience

3 years
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