كابستون علوم البيانات التطبيقية from Coursera

ستمنحك دورة مشروع الكابستون هذه لمحة عما يمرّ به علماء البيانات في الحياة الواقعية عند التعامل مع البيانات. ستتعرف على بيانات الموقع ومقدمي بيانات الموقع المختلفين، مثل فورسكوير. ستتعرف على طريقة إجراء اتصالات واجهة برمجة تطبيقات RESTful لواجهة برمجة تطبيقات فورسكوير لاسترداد البيانات حول أماكن في أحياء مختلفة حول العالم. ستتعلم أيضًا كيف تكون مبدعًا في المواقف التي لا تكون فيها البيانات متاحة بسهولة من خلال استخلاص بيانات الويب وتحليل كود HTML. ستستخدم بايثون ومكتبة الباندا الخاصة بها لمعالجة البيانات، وهو ما سيساعدك في صقل مهاراتك الخاصة باستكشاف البيانات وتحليلها. وأخيرًا، سيُطلب منك استخدام مكتبة فوليوم للحصول على خرائط رائعة للبيانات الجيوفضائية والإبلاغ عن النتائج والاستنتاجات الخاصة بك. وإذا اخترت المشاركة في هذه الدورة والحصول على شهادة دورة كورسيرا، فستحصل أيضًا على شارة رقمية من IBM عند إتمامك للدورة بنجاح. عرض لوقت محدود: تكلفة الاشتراك 39 دولارًا أمريكيًا فقط للشهر الواحد لتتمكن من الحصول على المواد المصنفة والشهادة.

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Develops skills in data exploration and analysis using Python and its specific libraries, namely Pandas

Course instructors are recognized for their work in the field

Teaches how to communicate with RESTful APIs to retrieve data

Provides hands-on experience through interactive materials and labs

Uses Folium, a Python library, to create visually appealing maps for geospatial data

Teaches web scraping techniques to extract data when it's not readily available

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in كابستون علوم البيانات التطبيقية with these activities:

Review basic probability and statistics concepts.

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Refreshing your understanding of basic probability and statistics concepts will help you better understand the material in this course.

Browse courses on Probability

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Review your notes from a previous probability and statistics course.
Take a practice quiz on basic probability and statistics concepts.

Review the material from the previous course in this sequence.

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Reviewing the material from the previous course in this sequence will help you refresh your memory and build on your existing knowledge.

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Review your notes from the previous course.
Take a practice quiz on the material from the previous course.

Read 'A Field Guide to Data Science'

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Concepts explored throughout this book will enhance your understanding of concepts such as data visualization and working with code.

View A Practitioner's Guide to State and Local... on Amazon

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Read and take notes on the introduction.
Read and complete the exercises in chapters 1-5.

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Join a study group to discuss course material.

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Joining a study group can provide you with opportunities to discuss the course material with other students and get help with concepts you don't understand.

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Find a study group to join.
Attend study group meetings.
Participate in discussions.

Watch the 'Pandas Tutorial' series on YouTube.

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Watching these tutorials will help you gain a solid understanding of how to use Pandas to manipulate data.

Browse courses on Pandas

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Watch the first tutorial in the series.
Complete the exercises in the tutorial.
Repeat steps 1 and 2 for the remaining tutorials in the series.

Complete the practice problems in the course textbook.

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Solving practice problems can help you build proficiency and confidence in working with code.

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Review the material in the textbook chapter.
Attempt to solve the practice problems.
Check your answers against the answer key.
Review the solutions to any problems you got wrong.

Write a blog post about a data science project you've worked on.

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Documenting your work will aid in helping you retain information learned throughout this course.

Browse courses on Data Science

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Brainstorm ideas for your blog post.
Write an outline for your blog post.
Write the first draft of your blog post.
Edit and revise your blog post.
Publish your blog post.

Create a data visualization dashboard using Plotly.

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Creating a data visualization dashboard will require you to apply the concepts and techniques learned in this course.

Browse courses on Data Visualization

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Gather the data you want to visualize.
Clean and prepare the data.
Create a Plotly visualization.
Deploy your dashboard.

Career center

Learners who complete كابستون علوم البيانات التطبيقية will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist is someone who works in the field of data science. This course may be useful for someone who wants to become a Data Scientist because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer is someone who works in the field of machine learning. This course may be useful for someone who wants to become a Machine Learning Engineer because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

A Business Analyst is someone who works in the field of business analysis. This course may be useful for someone who wants to become a Business Analyst because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Business Analyst.

See salaries and explore the career path for Business Analyst

Statistician

A Statistician is someone who works in the field of statistics. This course may be useful for someone who wants to become a Statistician because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Statistician.

See salaries and explore the career path for Statistician

Data Architect

A Data Architect is someone who works in the field of data architecture. This course may be useful for someone who wants to become a Data Architect because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Data Architect.

See salaries and explore the career path for Data Architect

Software Engineer

A Software Engineer is someone who works in the field of software engineering. This course may be useful for someone who wants to become a Software Engineer because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Software Engineer.

See salaries and explore the career path for Software Engineer

Data Analyst

A Data Analyst is someone who works in the field of data analysis. This course may be useful for someone who wants to become a Data Analyst because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Data Analyst.

See salaries and explore the career path for Data Analyst

Financial Analyst

A Financial Analyst is someone who works in the field of financial analysis. This course may be useful for someone who wants to become a Financial Analyst because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Data Engineer

A Data Engineer is someone who works in the field of data engineering. This course may be useful for someone who wants to become a Data Engineer because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Data Engineer.

See salaries and explore the career path for Data Engineer

Information Management

An Information Manager is someone who works in the field of information management. This course may be useful for someone who wants to become an Information Manager because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for an Information Manager.

See salaries and explore the career path for Information Management

Data Management

A Data Manager is someone who works in the field of data management. This course may be useful for someone who wants to become a Data Manager because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Data Manager.

See salaries and explore the career path for Data Management

Data Governance

A Data Governance person is someone who works in the field of data governance. This course may be useful for someone who wants to become a Data Governance person because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Data Governance person.

See salaries and explore the career path for Data Governance

Risk and Compliance

A Risk and Compliance person is someone who works in the field of risk and compliance. This course may be useful for someone who wants to become a Risk and Compliance person because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Risk and Compliance person.

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Information Security

An Information Security person is someone who works in the field of information security. This course may be useful for someone who wants to become an Information Security person because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for an Information Security person.

See salaries and explore the career path for Information Security

Cybersecurity

A Cybersecurity person is someone who works in the field of cybersecurity. This course may be useful for someone who wants to become a Cybersecurity person because it will teach them how to use Python and the pandas library to process data. This course will also teach them how to use the Folium library to create maps of geospatial data. These skills are essential for a Cybersecurity person.

See salaries and explore the career path for Cybersecurity