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Google Cloud Training

טכנולוגיית הענן לבדה מספקת לעסק חלק קטן בלבד מהערך האמיתי שלה. כשהיא משולבת עם נתונים בנפח רב מאוד, נוצרת העוצמה שמאפשרת להפיק ערך וליצור חוויות חדשות ללקוחות

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טכנולוגיית הענן לבדה מספקת לעסק חלק קטן בלבד מהערך האמיתי שלה. כשהיא משולבת עם נתונים בנפח רב מאוד, נוצרת העוצמה שמאפשרת להפיק ערך וליצור חוויות חדשות ללקוחות

במסגרת הקורס הזה תלמדו מהם נתונים, איך השתמשו בהם בעבר בחברות לצורך קבלת החלטות ולמה הם קריטיים כל כך ללמידה חישובית.

:בנוסף, בקורס הזה יוצגו ללומדים מושגים טכניים כמו

- נתונים מובְנים ולא מובְנים

- מסד נתונים

- (data warehouse) מחסן נתונים

- (data lakes) אגמי נתונים

.הנפוצים ביותר בתחום הנתונים, ובמוצרים כאלה ששיעור השימוש בהם גדל במהירות הרבה ביותר Google Cloud בהמשך, הקורס יעסוק במוצרי

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What's inside

Syllabus

מבוא
ברוכים הבאים לקורס 'חדשנות עם נתונים ו-Google Cloud ! במודול זה, תפגשו את המרצה ותקבלו מידע על תוכן הקורס ועל תחילת הלמידה.
מודול 1: הערך של נתונים
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נתונים הם מרכיב חיוני של טרנספורמציה דיגיטלית. למעשה, התיעוד והניהול של נתונים ושימוש בהם ממלאים תפקיד מרכזי בהגדרה מחדש של חוויית הלקוחות ובהפקת ערך חדש בכל תעשייה כמעט. המודול הזה מתחיל בבחינת הערך של נתונים לצורך טרנספורמציה דיגיטלית, וממשיך בפירוט הסוגים השונים של נתונים והשיקולים הנוגעים לאיסוף, אחסון ועיבוד של נתונים במסגרת השימוש בטכנולוגיית הענן.
מודול 2: איחוד וניתוח של נתונים
המודול הזה עובר על המושגים המרכזיים שקשורים לניהול נתונים ומדגיש את היתרונות של העברת הנתונים אל הענן. המודול כולל מספר תרחישים לדוגמה של שימוש מצד לקוחות וכן פתרונות רלוונטיים של Google Cloud לניהול נתונים. הוא מסתיים בסקירה של מוצרי מפתח כגון BigQuery ו-Looker שמאפשרים למשתמשים להפיק תובנות מהנתונים שלהם.
מודול 3: חדשנות באמצעות למידה חישובית
בעבר ניתוח נתונים שימש כדי להבין דברים שהתרחשו בעבר. כתוצאה מחידושים בטכנולוגיית הענן ומהזמינות של מכשירים דיגיטליים, אנשים מייצרים כמויות עצומות של נתונים בכל יום. המודול הזה בוחן מהן היכולות של למידה חישובית ואילו יעדים אפשר להשיג כיום בעזרת נפח נתונים גדול. המודול מרחיב על הנושאים שנידונו במודול הקודם ומתאר איך למידה חישובית מאפשרת לבצע חיזוי, למיין פריטים לקטגוריות ולתת המלצות על סמך כמות עצומה של נתונים. לאורך המודול, תכירו לקוחות לדוגמה שהשתמשו בלמידה חישובית כדי לספק פתרונות חדשניים ללקוחות שלהם.
סיכום
המודול הזה מסכם את הנקודות המרכזיות שנידונו בכל המודולים, והוא גם מציג פעולות שתוכלו לבצע כדי להמשיך בלמידה.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
הקורס מפתח יכולות למידה חישובית, שהן מהותיות להפקת תובנות ולחיזוי מגמות עתידיות בעידן הדיגיטלי
הקורס מועבר על ידי Google Cloud Training, שיש להם מומחיות מוכחת ומוניטין בתעשייה בתחום הלמידה החישובית
הקורס מתאים למנהלי נתונים, אנליסטים ואנשי מקצוע בתחום ה-IT המעוניינים להבין וליישם למידה חישובית כדי לקבל תובנות מעמיקות מהנתונים שלהם
הקורס כולל בתוכו סקירה של המושגים הטכניים הנפוצים ביותר בתחום הנתונים, כגון נתונים מובנים ולא מובנים, מסדי נתונים, מחסני נתונים ואגמי נתונים
הקורס מתמקד בשילוב טכנולוגיית הענן בלמידה חישובית כדי ליצור חוויות חדשות ללקוחות ולהפיק מהן ערך עסקי מקסימלי

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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 Innovating with Data and Google Cloud בעברית with these activities:
Organize and review your course materials
Staying organized will help you stay on track and maximize your learning.
Show steps
  • Create a system for organizing your notes, assignments, and other materials.
  • Regularly review your materials to refresh your memory and reinforce your understanding.
Review core principles of data management
Reviewing these core principles will provide a foundation for understanding the more advanced concepts in this course.
Browse courses on Data Management
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  • Go over your notes from previous courses or textbooks on data management.
  • Complete online tutorials or practice exercises.
Volunteer with organizations that use data to make a positive impact
Volunteering can help you gain practical experience and make a difference in the world.
Browse courses on Volunteering
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  • Identify organizations that align with your interests and values.
  • Contact the organizations and inquire about volunteering opportunities.
  • Commit to a regular volunteering schedule and actively participate in the organization's activities.
Five other activities
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Practice data analysis and visualization techniques
Practicing these techniques will help you develop the skills necessary to effectively analyze and visualize data.
Browse courses on Data Analysis
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  • Find a dataset online or create your own.
  • Use data analysis and visualization tools to explore the data.
  • Practice presenting your findings in a clear and concise manner.
Attend industry events and conferences
Networking with professionals in the field can help you learn about new opportunities and trends.
Browse courses on Networking
Show steps
  • Identify industry events and conferences that are relevant to your interests.
  • Attend these events and actively network with other attendees.
Develop a data-driven solution to a business problem
This project will allow you to apply the concepts learned in this course to a real-world scenario.
Show steps
  • Identify a business problem that could be solved using data.
  • Collect and analyze data relevant to the problem.
  • Develop a data-driven solution to the problem.
  • Present your solution to stakeholders.
Explore advanced topics in data management and analysis
These tutorials will help you learn about the latest trends and technologies in the field.
Browse courses on Big Data
Show steps
  • Identify areas where you want to expand your knowledge.
  • Find online tutorials or courses on these topics.
  • Complete the tutorials and practice the concepts you learn.
Start a personal project that involves data management and analysis
Working on a personal project can help you develop your skills and build a portfolio.
Browse courses on Data Management
Show steps
  • Identify a topic or problem that you are interested in.
  • Gather data and develop a plan for analyzing the data.
  • Implement your analysis and present your findings.

Career center

Learners who complete Innovating with Data and Google Cloud בעברית will develop knowledge and skills that may be useful to these careers:
Big Data Engineer
Big Data Engineers design and manage systems for processing and storing large volumes of data. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about big data technologies, data warehousing, and how to use Google Cloud products to manage and process big data. This course is essential for anyone interested in a career as a Big Data Engineer.
Data Scientist
Data Scientists use data to build models and solve business problems. This course would provide you with the foundational knowledge and skills needed to succeed in this role. You would learn about data science techniques, machine learning algorithms, and how to use Google Cloud products to analyze and model data. This course is highly recommended for anyone interested in a career as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about machine learning theory, model development, and how to use Google Cloud products to deploy and manage machine learning models. This course is ideal for anyone interested in a career as a Machine Learning Engineer.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course would provide a strong foundation in data concepts and technologies, preparing you for success in this role. You would learn about different types of data, data management techniques, and how to use Google Cloud products to analyze data. This course is essential for anyone interested in a career as a Data Analyst.
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about data architecture, data integration, and how to use Google Cloud products to manage and process data. This course is ideal for anyone interested in a career as a Data Engineer.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about cloud computing concepts, cloud services, and how to use Google Cloud products to design and implement cloud solutions. This course is ideal for anyone interested in a career as a Cloud Architect.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course would provide you with the foundational knowledge and skills needed to succeed in this role. You would learn about software development principles, programming languages, and how to use Google Cloud products to build and deploy software applications. This course is recommended for anyone interested in a career as a Software Engineer.
Data Management Consultant
Data Management Consultants help businesses manage and use their data effectively. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about data management best practices, data governance, and how to use Google Cloud products to manage and analyze data. This course is recommended for anyone interested in a career as a Data Management Consultant.
Business Analyst
Business Analysts help businesses understand their data and make informed decisions. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about business analysis techniques, data analysis, and how to use Google Cloud products to analyze data and solve business problems. This course is recommended for anyone interested in a career as a Business Analyst.
Product Manager
Product Managers are responsible for the development and launch of new products. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about product development, product management, and how to use Google Cloud products to analyze data and make informed decisions. This course may be useful for anyone interested in a career as a Product Manager.
Sales Manager
Sales Managers are responsible for leading and managing sales teams. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about sales management techniques, data analysis, and how to use Google Cloud products to analyze data and make informed decisions. This course may be useful for anyone interested in a career as a Sales Manager.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about marketing principles, data analysis, and how to use Google Cloud products to analyze data and make informed decisions. This course may be useful for anyone interested in a career as a Marketing Manager.
Operations Manager
Operations Managers are responsible for planning and managing the operations of a business. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about operations management techniques, data analysis, and how to use Google Cloud products to analyze data and make informed decisions. This course may be useful for anyone interested in a career as an Operations Manager.
Project Manager
Project Managers are responsible for planning and managing projects. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about project management techniques, data analysis, and how to use Google Cloud products to analyze data and make informed decisions. This course may be useful for anyone interested in a career as a Project Manager.
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making investment recommendations. This course would provide you with the knowledge and skills needed to succeed in this role. You would learn about financial analysis techniques, data analysis, and how to use Google Cloud products to analyze data and make informed decisions. This course may be useful for anyone interested in a career as a Financial Analyst.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Innovating with Data and Google Cloud בעברית.
Provides a comprehensive overview of data science, covering topics such as data mining, machine learning, and statistical modeling. It valuable resource for anyone who wants to learn more about data science.
Provides a comprehensive overview of deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning.
Provides a practical guide to using data science for business. It covers topics such as data mining, machine learning, and statistical modeling. It valuable resource for anyone who wants to learn more about using data science for business.
Provides a comprehensive overview of big data analytics. It covers topics such as data mining, machine learning, and distributed computing. It valuable resource for anyone who wants to learn more about big data analytics.
Provides a practical guide to doing data science. It covers topics such as data cleaning, data analysis, and machine learning. It valuable resource for anyone who wants to learn more about doing data science.
Provides a comprehensive overview of pattern recognition and machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone who wants to learn more about pattern recognition and machine learning.
Provides a comprehensive overview of natural language processing. It covers topics such as text classification, text summarization, and machine translation. It valuable resource for anyone who wants to learn more about natural language processing.
Provides a comprehensive overview of speech and language processing. It covers topics such as speech recognition, speech synthesis, and natural language processing. It valuable resource for anyone who wants to learn more about speech and language processing.
Provides a comprehensive overview of computer vision. It covers topics such as image processing, feature detection, and object recognition. It valuable resource for anyone who wants to learn more about computer vision.
Provides a clear and concise introduction to data science. It covers topics such as data mining, machine learning, and statistical modeling. It valuable resource for anyone who wants to learn more about data science.

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