The Most Important Certificates To Level Up Your Career In Data Science

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If you would like to obtain a certificate that will support your resume and raise the value of your projects in the field of data science, which in turn will contribute to increasing your chances of reaching your favorite job, in this article, we offer you 6 certificates that will help you in your re-search.

Microsoft Certified : Azure Data Scientist Associate :

Microsoft certificate enables you to test your skills by training in machine learning and developing your performance using Azure Machine learning. To obtain it, you must take a test at a cost of approximately $165, which Microsoft helps you prepare for either for free through online educational programs provided by Microsoft or as a paid option.

IBM DATA Science Professional certificate :

The Certificate offered by IBM in both Coursera and EDX systems after completing a series of data science courses from beginner to professional at a cost of $39 per month.

Google’s professional data engineer certification

To be qualified as a data engineer able to make data-driven decisions, you must inhance your skills through the professional data engineer certification that Google provides you by applying directly through the official Google certification page or you can obtain your certificate after Finishing a series of educational courses on Coursera, at a cost of $49 per month, in which you learn machine learning, AI basics, graphic representation, and accurate and effective analytics.

Cloudera Certified professional (CCP) Data Engineer

If you are a software developer, then you are the focus of clouderaโ€™s attention by offering you the CCP DATA Engineer certificate. It tests your skill in dealing with data optimally in the cloudera CDH environment.

SAS Certified Al & Machine Learning Professional

To obtain the SAS Al & Machine Learning Professional certificate, you must pass 3 tests, the first of which is to test your skill in machine learning, then to test your skill in dealing with data and the validity of its prediction, and the last of which is the test of NLP and computer technologies. You can prepare for these exams, as SAS provides you with preparation materials to help you pass them successfully.

TensorFlow Developer certificate

You can prove your ability to work with the TensorFlow package to address machine learning and deep learning problems with the TensorFlow Developer Certification that you can prepare for from the Coursera Professional Certification Courses series. Once you obtain it, your name and photo will be added to the Google Developers page and it is valid for 3 years.

At the end, skills development is the viral point in Data Science and these courses can enhance your skills and develop your ability to handle many complicated problems in any project.

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Best Books For Data Science (Advanced)

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Reading a lot of Data Science articles will enable you to expand your experience and develop your skills in the field of data science, and thus you will be more able to employ these skills in developing new analytical projects and discovering new Data.

Deep learning

I highly recommend this book because you will learn about the Deep learning through the most important library in Python called Keras. This book is written by one of the keras library developers. Besides, this book has practical activities to practice right away after every session you read, enjoy!

Machine Learning : a Probabilistic Perspective

Your interest in Machine Learning will enable you to apply your math skills . Especially in probability whichโ€™s the secret of machine learning. I recommend this book to learn more how machine learning works from a probability perspective.

At the end, I need to point out to the other previous articles we presented before, you can check them out through the link below:

If you are interested in buying one of these books, please go to shopping gallery under the Menu button. Besides, if you are interested in any other book please reach out to us by email and it will be our pleasure to assist you.

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ุฃูุถู„ ุงู„ูƒุชุจ ููŠ ู…ุฌุงู„ ุงู„ุฏุงุชุง ุณุงูŠู†ุณ (ู…ุณุชูˆู‰ ู…ุชู‚ุฏู…)

ุณุชู…ูƒู†ูƒ ู‚ุฑุงุกุฉ ุงู„ูƒุซูŠุฑ ู…ู† ุงู„ู…ู‚ุงู„ุงุช ูˆุงู„ูƒุชุจ ุงู„ุฎุงุตุฉ ููŠ ู…ุฌุงู„ ุนู„ู… ุงู„ุจูŠุงู†ุงุช ู…ู† ุชูˆุณูŠุน ุฎุจุฑุชูƒ ูˆุฒูŠุงุฏุฉ ู…ู‡ุงุฑุงุชูƒ ุงู„ุนู…ู„ูŠุฉ ูˆุงู„ู†ุธุฑูŠุฉ ูˆุจุงู„ุชุงู„ูŠ ุณุชุตุจุญ ุฃูƒุซุฑ ู‚ุฏุฑุฉ ุนู„ู‰ ุงู†ุฌุงุฒ ุงู„ุนุฏูŠุฏ ู…ู† ุงู„ู…ุดุงุฑูŠุน ุจุฏู‚ุฉ ูˆูุงุนู„ูŠุฉ ุฃูƒุจุฑ

Deep learning

ู…ู† ุฎู„ุงู„ ู‡ุฐุง ุงู„ูƒุชุงุจ ูŠู…ูƒู†ูƒ ุชุนู„ู… ุงู„ุนุฏูŠุฏ ู…ู† ุงู„ุชู‚ู†ูŠุงุช ุงู„ู…ููŠุฏุฉ ู„ุชูˆุธูŠู ุงู„ุจุงูŠุซูˆู† ููŠ ู…ุฌุงู„ ุงู„ุชุนู„ู… ุงู„ุนู…ูŠู‚ ุจุงุณุชุฎุฏุงู… ุฃุญุฏ ุฃู‡ู… ู…ูƒุชุจุงุช ุงู„ุจุงูŠุซูˆู† ูˆู‡ูŠ ู…ูƒุชุจุฉ ุงู„ูƒูŠุฑุงุณ ุงู„ุชูŠ ูŠู…ูƒู† ุงู„ุงุณุชูุงุฏุฉ ู…ู†ู‡ุง ุจุฏู‚ุฉ ูˆูุนุงู„ูŠุฉ ู„ุชู†ููŠุฐ ุงู„ุนุฏูŠุฏ ู…ู† ุงู„ู…ุดุงุฑูŠุน ุงู„ู…ู‡ู…ุฉ ููŠ ู…ุฌุงู„ ุงู„ุชุนู„ู… ุงู„ุนู…ูŠู‚ ุฃุญุฏ ุฃู‡ู… ู…ูŠุฒุงุช ู‡ุฐุง ุงู„ูƒุชุงุจ ุฃู†ู‡ ูŠุญูˆูŠ ุนู„ู‰ ุชู…ุงุฑูŠู† ู…ุจุงุดุฑุฉ ุงู„ุชุทุจูŠู‚ ู„ุชุนุฒูŠุฒ ุงู„ู…ู‡ุงุฑุงุช ุงู„ุชูŠ ุชู… ุงูƒุชุณุงุจู‡ุง

Machine Learning : a Probabilistic Perspective

ุงู‡ุชู…ุงู…ูƒ ููŠ ุงู„ุฑูŠุงุถูŠุงุช ูˆุฎุงุตุฉ ุนู„ู… ุงู„ุฌุจุฑ ูˆุงู„ุงุญุชู…ุงู„ุงุช ุณูŠุณุงุนุฏูƒ ุนู„ู‰ ูู‡ู… ู…ุจุฏุฃ ุชุนู„ู… ุงู„ุขู„ุฉ ุงูˆ ุงู„ู…ุงุดูŠู† ู„ูŠุฑู†ูŠู†ุบ . ู„ุฐู„ูƒ ู†ู†ุตุญ ุจุงู‚ุชู†ุงุก ูˆู‚ุฑุงุกุฉ ู‡ุฐุง ุงู„ูƒุชุงุจ ุจุบุฑุถ ูู‡ู… ู…ุจุฏุฃ ุชุนู„ู… ุงู„ุงู„ุฉ ู…ู† ูˆุฌู‡ุฉ ู†ุธุฑ ุฑูŠุงุถูŠุฉ

ุฎุชุงู…ุงู‹ ู†ูˆุฏ ุงู„ุชู†ูˆูŠู‡ ุงู„ู‰ ุงู„ู…ู‚ุงู„ุงุช ุงู„ุณุงุจู‚ุฉ ุงู„ุชูŠ ุชุฎุต ุฃู‡ู… ุงู„ูƒุชุจ ููŠ ุนู„ู… ุงู„ุจูŠุงู†ุงุช ุŒ ุญูŠุซ ูŠู…ูƒู†ูƒู… ุจุงู„ุถุบุท ุนู„ู‰ ุงู„ุฑูˆุงุจุท ุงู„ุชุงู„ูŠุฉ ู‚ุฑุงุกุฉ ู‡ุฐู‡ ุงู„ู…ู‚ุงู„ุงุช

shopping Gallery ูˆุงุฐุง ูƒู†ุช ู…ู† ุงู„ู…ู‡ุชู…ูŠู† ุจุงู‚ุชู†ุงุก ู‡ุฐู‡ ุงู„ูƒุชุจ ูŠู…ูƒู†ูƒู… ุงู„ุฐู‡ุงุจ ู…ุจุงุดุฑุฉ ุฅู„ู‰

ูˆุงุชุจุงุน ุงู„ุชุนู„ูŠู…ุงุช Menu ุงู„ู…ูˆุฌูˆุฏ ููŠ ู‚ุงุฆู…ุฉ ุงู„

ูˆููŠ ุญุงู„ ูƒู†ุช ุชุฑูŠุฏ ุฃูŠ ูƒุชุงุจ ุขุฎุฑ ุบูŠุฑ ุงู„ูƒุชุจ ุงู„ู…ูˆุฌูˆุฏุฉ ุนู„ู‰ ุงู„ู…ูˆู‚ุน ูŠู…ูƒู†ูƒ ู…ุฑุงุณู„ุชู†ุง ู…ุจุงุดุฑุฉ ุนู„ู‰ ุงู„ุจุฑูŠุฏ ุงู„ุงู„ูƒุชุฑูˆู†ูŠ ูˆุณูŠุชู… ุงู„ุชูˆุงุตู„ ู…ุนูƒ ุจุดูƒู„ ููˆุฑูŠ

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4 Data Science Projects For Beginners

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These four Data science projects are a blend of recordings and articles. They cover different languages based on your interests that you want to learn.

You’ll figure out how to utilize APLs, how to run forecasts, Dealing with profound learning, and Highlight performance decline .

These four project lessons for Beginners are effective and accurate, So they’re exemplary in case you don’t know where to start. choose one interests you, Know where you’re strive, and utilize that to begin constructing a rundown of different data science abilities you can acquire.

Project 1 : House prices regression

You can utilize either R or Python to go through this project.

In truth, it is a perfect project if you are a beginner in programming and it addresses an inquiry that many individuals have โ€“ what amount are houses worth?

This Regression tutorial is available on kaggle and it has a huge load of various choices to learn how to perform regression projects.

Project 2 : Titanic classification .

This project has a tutorial for all absolute beginners to learn how to create a predictive classification model. I suggest Python for this one.

Project 3 : YouTube comments sentiment analysis

The best  tutorial of YouTube comment sentiment analysis is a beginner video tutorial at a natural language processing, which is the basic experience you will gain in this tutorial.

The video is really entertaining, and the author connected the codes and video link in GitHub. Check it out!

https://github.com/hellotinah/youtube_sentiment_analysis

Project 4 : COVID-19 Data Analysis Project :

 In light of the current pandemic, the optimal language that is used for analyzing COVID-19 data is the python language

The Data scientist used most of the common packages like pandas, matplot and numpy. Many tutorials covered the solution of this data set.

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ุฃุฑุจุนุฉ ู…ุดุงุฑูŠุน ู‡ุงู…ุฉ ููŠ ุนู„ู… ุงู„ุจูŠุงู†ุงุช

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ุณู†ุณุชุนุฑุถ ููŠ ู‡ุฐุง ุงู„ู…ู‚ุงู„ 4 ุชู…ุงุฑูŠู† ุชุนู„ูŠู…ูŠุฉ ู†ู…ูˆุฐุฌูŠุฉ ููŠ ู…ุฌุงู„ ุนู„ู… ุงู„ุจูŠุงู†ุงุช ู„ู„ู…ุจุชุฏุฆูŠู† ููŠ ุญุงู„ ูƒู†ุช ู„ุง ุชุนู„ู… ู…ู† ุฃูŠู† ุชุจุฏุฃ ููŠ ุฑุญู„ุฉ ุชุนู„ู… ู…ุฌุงู„ ุงู„ุฏุงุชุง ุณุงูŠู†ุณ ุงุฎุชุฑ ูˆุงุญุฏุงู‹ ู…ู…ุง ูŠู„ูŠ ูˆุงุจุฏุฃ ุจู†ุงุก ู…ู‡ุงุฑุงุช ู…ุชุนุฏุฏุฉ ูˆุฌุฏูŠุฏุฉ ููŠ ู…ุฌุงู„ ุงู„ุฏุงุชุง ุณุงูŠู†ุณ

: House prices Regression : ุงู„ู…ุดุฑูˆุน 1

ู„ุงูƒุชุณุงุจ ู…ู‡ุงุฑุงุช ุฌุฏูŠุฏุฉ ููŠ ุนู„ู… ุงู„ุจูŠุงู†ุงุช ุฎุงุตุฉ ุฅุฐุง ูƒู†ุช ู…ุจุชุฏุฆู‹ุง ููŠ ุงู„ุจุฑู…ุฌุฉ ู„ุงุจุฏ ู…ู† ุงู„ุจุฏุก ุจุชู†ููŠุฐ ู‡ุฐุง ุงู„ู†ูˆุน ู…ู† ุงู„ู…ุดุงุฑูŠุน

regression ูˆู…ุซุงู„ู†ุง ู‡ู†ุง ู…ุดุฑูˆุน ูŠุชุนู„ู‚ ุจุงู„ุชู†ุจุค ุจุฃุณุนุงุฑ ุงู„ู…ู†ุงุฒู„ ุจุงุณุชุฎุฏุงู… ุชู‚ู†ูŠุฉ ุงู„

Rุชุญุชุงุฌ ู„ุชู†ููŠุฐ ู‡ุฐุง ุงู„ู…ุดุฑูˆุน ู…ุนุฑูุฉ ุงู„ุจุงูŠุซูˆู† ุฃูˆ ุงู„

ุงู„ุฐูŠ ูŠุนุชุจุฑ ู…ูƒุงู† ู…ุซุงู„ูŠ ู„ู„ุชุนู„ู… ู…ู† ุงู„ุขุฎุฑูŠู† kaggle ุญูŠุซ ูŠู…ูƒู†ูƒ ุชุชุจุน ุงู„ุฃูƒูˆุงุฏ ุงู„ู…ุทู„ูˆุจุฉ ุนู„ู‰ ู…ูˆู‚ุน

: Titanic classification : ุงู„ู…ุดุฑูˆุน 2

Kaggle ุนู„ู‰ ุบุฑุงุฑ ุงู„ู…ุดุฑูˆุน ุงู„ุณุงุจู‚ ูŠู…ูƒู†ูƒ ุงู„ุงุณุชูุงุฏุฉ ูƒู…ุจุชุฏุฆ ู…ู† ู…ูˆู‚ุน

ู„ุชู†ููŠุฐ ู‡ุฐุง ุงู„ู…ุดุฑูˆุน ูˆ ุงู„ุชุนู„ู… ู…ู† ุงู„ู…ุจุฑู…ุฌูŠู† ุงู„ุขุฎุฑูŠู† ูˆุงู„ุงูƒูˆุงุฏ ุงู„ุฎุงุตุฉ ุจู‡ู…

ูˆุฃูุถู„ ู„ุบุฉ ุจุฑู…ุฌุฉ ู„ุชู†ููŠุฐ ู‡ุฐุง ุงู„ู…ุดุฑูˆุน ู‡ูŠ ุงู„ุจุงูŠุซูˆู†

: YouTube comments sentiment analysis :ุงู„ู…ุดุฑูˆุน 3
YouTubeุณู†ู‚ูˆู… ุจุงู‚ุชุฑุงุญ ููŠุฏูŠูˆ ุจุณูŠุท ู„ู„ู…ุจุชุฏุฆูŠู† ู„ุชุนู„ู… ุชุญู„ูŠู„ ุขุฑุงุก ุงู„ุชุนู„ูŠู‚ุงุช ุนู„ู‰

ุญูŠุซ ุฃู† ู…ุคู„ูู‡ ูŠุนุชุจุฑ  ู…ุจุชุฏุฆ ููŠ ู‡ุฐุง ุงู„ู…ุฌุงู„ ู„ุฐู„ูƒ ุชู… ุทุฑุญู‡ ุจุดูƒู„ ู…ุจุณุท ู„ุชุนู„ู… ู…ุจุงุฏู‰ุก ุงุณุชุฎุฏุงู… ุงู„ุจุฑู…ุฌุฉ ุงู„ู„ุบูˆูŠุฉ ุงู„ุนุตุจูŠุฉ

Git HubูŠู…ูƒู†ูƒ ุฅูŠุฌุงุฏ ุงู„ุฃูƒูˆุงุฏ ุงู„ู…ุฐูƒูˆุฑุฉ ููŠ ู‡ุฐุง ุงู„ููŠุฏูŠูˆ ุนู„ู‰ ู…ูˆู‚ุน

https://github.com/hellotinah/youtube_sentiment_analysis

: COVID-19 Data Analysis Project :ุงู„ู…ุดุฑูˆุน 4

Python ู‡ูŠ ู„ุบุฉ COVID-19 ููŠ ุธู„ ู‡ุฐู‡ ุงู„ุฌุงุฆุญุฉ ูƒุงู†ุช ุงู„ู„ุบุฉ ุงู„ุจุฑู…ุฌูŠุฉ ุงู„ุฃู…ุซู„ ู„ุชุญู„ูŠู„ ุจูŠุงู†ุงุช

Pandas, Numpy, and matplotุจุงู„ุงุนุชู…ุงุฏ ุนู„ู‰ ู…ูƒุชุจุงุช ุงู„

ู„ู„ุงุณุชูุงุฏุฉ ูˆุงู„ุชุฏุฑูŠุจ Kaggle ูŠู…ูƒู†ูƒ ุฅูŠุฌุงุฏ ุงู„ุนุฏูŠุฏ ู…ู† ุงู„ู…ู„ูุงุช ูˆุงู„ุฃูƒูˆุงุฏ ุงู„ุชุนู„ูŠู…ูŠุฉ ุนู„ู‰ ู…ูˆู‚ุน

ูˆุจู‡ุฐุง ู†ูƒูˆู† ุงุณุชุนุฑุถู†ุง ุฃู‡ู… ุงู„ู…ุดุงุฑูŠุน ู„ู„ู…ุจุชุฏุฆูŠู† ููŠ ู…ุฌุงู„ ุนู„ู… ุงู„ุจูŠุงู†ุงุช

kaggle ูŠู…ูƒู†ูƒู… ุฅูŠุฌุงุฏ ู…ู„ูุงุช ุงู„ุจุงูŠุซูˆู† ูˆุงู„ุฃูƒูˆุงุฏ ุนู„ู‰ ู…ูˆู‚ุน

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