DIANA CERTIFIED AZURE
DATA SCIENTIST
- Interactive : Learning
- Personalized Learning
- Flexible Scheduling
- Experienced Instructors:
- Real World Projects
- High-quality Content:
Diana Certified Azure Data Scientist
Diana Advanced Tech Academy Is a leading e-learning platform providing live instructor-led interactive online training. We cater to professionals and students across the globe in categories like Cyber Security, DevOps, AWS, Azure, Oracle, Web Development, Block Chain, Big Data, 5G,etc.We have an easy and affordable learning solution that is accessible to millions of learners. With our students spread across countries like the US, India, the UK, New Zealand, Singapore, Australia, the Middle East, the Far East, and many other s , We have built a community of over 1.5 million learners across the globe.
Course Details
The Diana Certified Azure Data Scientist course is designed to equip learners with the skills and knowledge necessary to become proficient data scientists on the Azure platform. From foundational concepts to advanced techniques, participants will delve into the world of data science, exploring topics such as data preparation, feature engineering, machine learning models, model evaluation, and deployment. By gaining hands-on experience with Azure tools and services, learners will develop the expertise to analyze large datasets, extract valuable insights, and build scalable and accurate predictive models. This comprehensive course prepares individuals for a successful career in data science, empowering them to contribute to data-driven decision-making processes and drive business outcomes through the power of Azure.
Course Objectives
The Diana Certified Azure Data Scientist program provides learners with essential knowledge and skills in Azure-based data science. Participants will learn data preprocessing, feature engineering, machine learning modeling, and model evaluation using Azure services. The course emphasizes practical application, enabling learners to deploy and manage machine learning models effectively. Upon completion, learners will earn the Diana Certified Azure Data Scientist certification, enhancing their expertise and readiness to contribute as data scientists.
- Understand the fundamentals of data science and its applications in Azure.
- Learn data preprocessing techniques to clean, transform, and prepare data for analysis.
- Explore feature engineering methods to extract meaningful insights and create predictive features.
- Gain proficiency in building and evaluating machine learning models using Azure Machine Learning.
- Develop skills in model evaluation and selection to ensure accurate and robust predictions.
- Learn how to deploy and manage machine learning models in production environments using Azure services.
- Acquire hands-on experience with Azure tools and services for data science, including Azure Machine Learning Studio, Azure Databricks, and Azure Cognitive Services.
Why You choose us
At Diana's, we are committed to providing our students with a highquality education that prepares them for successful careers in IT support.
Hands-On Learning
- World Class Resources
- best Interactive class
- full time acess
Personalized Learning
- Self-directed learning
- Project-based learning
- Differentiated instruction
Flexible Scheduling
- Blended courses
- Self-paced courses
- Online courses
High-Quality Content
- Engagement
- Accuracy
- Relevance
Real World Projects
- Career Readiness
- Industry Collaboration
- Practical Application
Experienced Instructors
- Expert Guidance
- Real-World Perspective
- Mentorship and Networking Opportunities
Course Benefits
The Diana Certified Azure Data Scientist course provides a comprehensive understanding of Azure-based data science, with hands-on experience and mastery of Azure services. You will learn to deploy and manage machine learning models, acquire industry-relevant skills, and earn a recognized certification. This course empowers you to excel in the field of data science and opens up exciting career opportunities in Azure-based data analysis and decision-making.
- Comprehensive Azure Data Science Knowledge: Gain a deep understanding of Azure-based data science concepts, tools, and techniques.
- Hands-on Experience: Engage in practical exercises and projects to apply your knowledge and develop real-world data science skills.
- Azure Services Mastery: Learn to leverage Azure services such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services for data science workflows.
- Model Deployment and Management: Understand how to deploy and manage machine learning models on Azure, ensuring scalability and reliability.
- Industry-Relevant Skills: Acquire the skills demanded by the industry and enhance your career prospects as a data scientist.
- Diana Certified Azure Data Scientist: Obtain a recognized certification, validating your expertise in Azure data science and increasing your professional credibility.
Designations
Diana Certified Azure Data Scientist Covered
The course covers essential topics in Azure-based data science, including data exploration, data preparation, feature engineering, model training and evaluation, and model deployment. You will also learn about working with various Azure services such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services. The curriculum emphasizes practical skills and hands-on experience, enabling you to develop proficiency in implementing data science solutions on the Azure platform.
- Data exploration and analysis
- Data preparation and cleaning
- Model training and evaluation
- Feature engineering
- Model deployment and monitoring
- Azure services for data science
Study Program
Comprehensive Curriculum
Unleash your potential with Diana Azure Courses! Master Azure cloud computing from fundamentals to implementation. Explore Azure services, VMs, storage, networking, security, and automation. Gain hands-on expertise, become a certified Azure pro, and unlock rewarding career opportunities. Join now and shape the future of technology with Diana Azure!
Certification
Upon completion of the course,
students will receive the Diana Certified Azure Data Scientist Certification, which is recognized by employers worldwide.
Career-Ready Skills
The course focuses on practical
skills and real-world scenarios, providing students with the
knowledge and experience they
need to excel in a career in IT support
Affordable Tution
The course offers a high-quality
education at an affordable price,
making it accessible to individuals
who may not have the resources
to pursue more expensive
certification programs.
Student Testimonials
FAQ
An online course degree is similar to taking a degree program on campus. Attending a live instructional course will be similar to attending a lecture but in the comfort of your location. Our Academy and your course instructor will determine the format for each course and will select the best-suited curriculum and projects for your course or program.
You will need a computer, a high-speed Internet connection, a newer version of a web browser, and access to common tools and software like word processors, email, etc. Some courses may have other software or technology requirements as well. If there are special labs included all you need is to follow your trainer’s instruction to log in to our virtual labs.
We are yet to introduce courses with Self-paced learning means you can learn in your own time and schedule. There is no need to complete the assignments and take the courses at the same time as other learners. The reason why we are choosing live instructional training over self-paced is the alignment of our students to complete and get their certifications on time for their placements or project placements at their respective organizations.
The courses are detailed in the course offerings under “Our Courses” For further information, please contact DIANA ACADEMY for Online Learning.
Online learning is not only more effective for students, but it is also better for the environment. Online courses consume 90% less energy and release 85% less CO2 per student than traditional in-person courses, according to the Open University in the United Kingdom. Online learning and multimedia material become more effective instructional tools as a result of this. Individuals and businesses can profit from helping the environment and sticking to their own environmental goals by encouraging and engaging with this form of learning.
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