Coursera Big Data

Share

Coursera Big Data

Coursera offers a variety of courses and specializations related to Big Data and data analysis. These courses are provided by top universities and institutions and cover various aspects of Big Data technologies, tools, and applications. Here’s an overview of what you can expect from Coursera’s Big Data courses:

Course Topics: Coursera’s Big Data courses cover a wide range of topics, including:

  1. Hadoop and MapReduce: Many courses introduce you to Hadoop, an open-source framework for distributed storage and processing of large datasets, and MapReduce, a programming model used for processing and generating Big Data.

  2. NoSQL Databases: You’ll learn about various NoSQL databases like MongoDB, Cassandra, and HBase, which are commonly used for handling unstructured and semi-structured data.

  3. Big Data Analytics: Courses often delve into data analysis techniques, including data cleaning, transformation, and exploration, as well as machine learning algorithms for predictive modeling.

  4. Data Warehousing: You’ll explore concepts related to data warehousing, data modeling, and designing data warehouses for large-scale data storage and retrieval.

  5. Spark: Apache Spark is a popular open-source framework for Big Data processing. Some courses focus on Spark and its ecosystem of libraries for data analysis and machine learning.

  6. Data Visualization: Effective data visualization is a critical skill, and courses may cover tools and techniques for visualizing Big Data insights.

  7. Big Data Architecture: Understanding the architecture of Big Data systems, including batch processing, real-time streaming, and distributed computing, is a key component of many courses.

  8. Scalability and Performance: You’ll learn about strategies for scaling Big Data solutions to handle large volumes of data efficiently.

Data Science Training Demo Day 1 Video:

 
You can find more information about Data Science in this Data Science Link

 

Conclusion:

Unogeeks is the No.1 IT Training Institute for Data Science Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on  Data Science here – Data Science Blogs

You can check out our Best In Class Data Science Training Details here – Data Science Training

💬 Follow & Connect with us:

———————————-

For Training inquiries:

Call/Whatsapp: +91 73960 33555

Mail us at: info@unogeeks.com

Our Website ➜ https://unogeeks.com

Follow us:

Instagram: https://www.instagram.com/unogeeks

Facebook:https://www.facebook.com/UnogeeksSoftwareTrainingInstitute

Twitter: https://twitter.com/unogeeks

 

Google Cloud Platform (GCP) offers various resources and benefits for students who want to learn and use cloud computing services. Here are some ways students can leverage GCP:

  1. Google Cloud for Education: Google provides a range of educational resources, including tutorials, documentation, and online courses specifically designed for students. The Google Cloud for Education program offers free credits and access to GCP services to support learning and experimentation.

  2. Google Cloud Free Tier: GCP offers a free tier that allows students to use certain services within specified limits without incurring any charges. This allows students to explore GCP and gain hands-on experience without a financial commitment.

  3. Google Cloud Credits: Through the Google Cloud Education Grants program, eligible students can receive Google Cloud credits to use GCP services. These credits are typically granted to universities and educational institutions, which can then distribute them to students for their projects or research.

  4. Qwiklabs: Qwiklabs is an interactive learning platform that provides hands-on labs for GCP. It offers a wide range of labs and quests to help students practice and build their skills using GCP services. Some labs are available for free, while others require payment.

  5. GCP Student Certification: Google offers certification exams that validate a student’s knowledge and expertise in using GCP. By earning a GCP certification, students can demonstrate their proficiency in specific GCP technologies, which can be valuable for future job opportunities.

  6. Student Developer Community: Google has a vibrant student developer community that organizes events, workshops, and competitions focused on GCP. These communities provide networking opportunities and resources for students to connect with peers and industry professionals.

To take advantage of these resources, students can visit the Google Cloud for Education website, explore the available programs, and follow the instructions to apply for credits or access educational resources. It’s also recommended to check with their educational institution to see if they have any partnerships or specific programs in place with Google Cloud Platform.

 
 

Google Cloud Platform (GCP) offers various resources and benefits for students who want to learn and use cloud computing services. Here are some ways students can leverage GCP:

  1. Google Cloud for Education: Google provides a range of educational resources, including tutorials, documentation, and online courses specifically designed for students. The Google Cloud for Education program offers free credits and access to GCP services to support learning and experimentation.

  2. Google Cloud Free Tier: GCP offers a free tier that allows students to use certain services within specified limits without incurring any charges. This allows students to explore GCP and gain hands-on experience without a financial commitment.

  3. Google Cloud Credits: Through the Google Cloud Education Grants program, eligible students can receive Google Cloud credits to use GCP services. These credits are typically granted to universities and educational institutions, which can then distribute them to students for their projects or research.

  4. Qwiklabs: Qwiklabs is an interactive learning platform that provides hands-on labs for GCP. It offers a wide range of labs and quests to help students practice and build their skills using GCP services. Some labs are available for free, while others require payment.

  5. GCP Student Certification: Google offers certification exams that validate a student’s knowledge and expertise in using GCP. By earning a GCP certification, students can demonstrate their proficiency in specific GCP technologies, which can be valuable for future job opportunities.

  6. Student Developer Community: Google has a vibrant student developer community that organizes events, workshops, and competitions focused on GCP. These communities provide networking opportunities and resources for students to connect with peers and industry professionals.

To take advantage of these resources, students can visit the Google Cloud for Education website, explore the available programs, and follow the instructions to apply for credits or access educational resources. It’s also recommended to check with their educational institution to see if they have any partnerships or specific programs in place with Google Cloud Platform.

 
 

Google Cloud Platform (GCP) offers various resources and benefits for students who want to learn and use cloud computing services. Here are some ways students can leverage GCP:

  1. Google Cloud for Education: Google provides a range of educational resources, including tutorials, documentation, and online courses specifically designed for students. The Google Cloud for Education program offers free credits and access to GCP services to support learning and experimentation.

  2. Google Cloud Free Tier: GCP offers a free tier that allows students to use certain services within specified limits without incurring any charges. This allows students to explore GCP and gain hands-on experience without a financial commitment.

  3. Google Cloud Credits: Through the Google Cloud Education Grants program, eligible students can receive Google Cloud credits to use GCP services. These credits are typically granted to universities and educational institutions, which can then distribute them to students for their projects or research.

  4. Qwiklabs: Qwiklabs is an interactive learning platform that provides hands-on labs for GCP. It offers a wide range of labs and quests to help students practice and build their skills using GCP services. Some labs are available for free, while others require payment.

  5. GCP Student Certification: Google offers certification exams that validate a student’s knowledge and expertise in using GCP. By earning a GCP certification, students can demonstrate their proficiency in specific GCP technologies, which can be valuable for future job opportunities.

  6. Student Developer Community: Google has a vibrant student developer community that organizes events, workshops, and competitions focused on GCP. These communities provide networking opportunities and resources for students to connect with peers and industry professionals.

To take advantage of these resources, students can visit the Google Cloud for Education website, explore the available programs, and follow the instructions to apply for credits or access educational resources. It’s also recommended to check with their educational institution to see if they have any partnerships or specific programs in place with Google Cloud Platform.

 

Selenium is a popular open-source automation testing framework used for web applications. It allows developers and testers to interact with web browsers programmatically and automate browser actions. Selenium supports multiple programming languages, including Python, Java, C#, Ruby, and more.

To get started with Selenium, you need to follow these steps:

  1. Install Selenium: You can use package managers like pip for Python or NuGet for C#. For Python, you can install Selenium using pip with the following command:

    pip install selenium
  2. Download Browser Drivers: Selenium requires browser-specific drivers to interact with browsers. For example, Chrome requires ChromeDriver, Firefox requires GeckoDriver, and so on. Make sure you download the appropriate driver for your chosen browser and place it in a directory accessible to your script.

  3. Set Up WebDriver: Depending on the programming language you choose, you need to set up the WebDriver to launch a browser instance. Here’s an example using Python and Chrome:

    python
    from selenium import webdriver # Replace 'path_to_chromedriver' with the actual path to your chromedriver executable driver = webdriver.Chrome(executable_path='path_to_chromedriver')
  4. Automate Browser Actions: You can use Selenium to automate various browser actions like navigating to a URL, filling forms, clicking elements, extracting data, etc. Here’s an example to open a webpage and click a button:

    python
    from selenium import webdriver driver = webdriver.Chrome(executable_path='path_to_chromedriver') driver.get('https://www.example.com') # Assuming there's a button with ID 'btn-submit', this will click it driver.find_element_by_id('btn-submit').click()
  5. Handle Waits: Web applications might have elements that take time to load. To ensure stability in your test scripts, use waits to handle dynamic elements.

  6. Perform Assertions (Optional): If you are using Selenium for test automation, you can perform assertions to validate that the expected behavior of your web application is met during the test execution.

Remember to clean up resources after the test is completed:

python
driver.quit()

This is just a basic introduction to get you started with Selenium. As you explore further, you will discover more advanced features and techniques to improve your web automation tests.


Share

Leave a Reply

Your email address will not be published. Required fields are marked *