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DP-203: Data Engineering on Microsoft Azure Certification Training – Complete Guide

In today’s data-driven world, organizations rely heavily on cloud-based platforms to store, process, and analyze vast amounts of information. Microsoft Azure has emerged as a leading cloud solution, offering a wide array of tools and services designed to empower data engineers in building scalable, efficient, and secure data solutions. The DP-203: Data Engineering on Microsoft Azure Certification is a globally recognized credential that validates the skills required to design, implement, and manage these data solutions effectively.

This comprehensive training program is tailored for aspiring and experienced data engineers, IT professionals, and cloud specialists who want to master Azure data services and advance their careers. Throughout the course, participants gain hands-on experience with core Azure tools such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake, while also learning best practices in data governance, security, and performance optimization.

The DP-203 training series is structured to provide a seamless blend of theory and practical application. Learners will progress through carefully designed modules that cover everything from basic cloud concepts to advanced data engineering workflows. Real-world scenarios, interactive labs, and projects ensure participants can apply their knowledge in practical environments, preparing them not only for the certification exam but also for real-world challenges in modern data engineering.

Whether you are looking to start a career in cloud data engineering, transition from a database or analytics role, or validate your existing Azure skills, this guide provides everything you need to understand the DP-203 course, its structure, benefits, and career opportunities. By following this training path, learners can gain the expertise and confidence to design, implement, and manage data solutions on Microsoft Azure, positioning themselves as proficient and certified Azure data engineers.

Course Overview

The DP-203: Data Engineering on Microsoft Azure Certification Training is a comprehensive program designed to equip learners with the skills necessary to become proficient in managing and implementing data solutions using Microsoft Azure. This course is structured to provide hands-on experience with a wide range of Azure services that are essential for modern data engineering. Participants will gain the knowledge and expertise required to design, build, secure, and monitor data pipelines that handle both structured and unstructured data efficiently.

In today’s data-driven world, organizations rely heavily on cloud-based solutions to store, process, and analyze vast amounts of data. Azure, being one of the leading cloud platforms, offers a robust suite of services that allow data engineers to create scalable, high-performing, and reliable data solutions. This course focuses on core concepts such as data storage, data processing, and data integration using Azure services like Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and more.

Throughout the course, learners will be exposed to both theoretical knowledge and practical exercises. This dual approach ensures that they not only understand the concepts behind Azure data engineering but also gain the confidence to implement them in real-world scenarios. By the end of the training, participants will have a solid foundation to pass the DP-203 certification exam and apply these skills in their professional careers.

The course also emphasizes best practices in data engineering, including data security, data governance, and optimization techniques. Learners will explore methods to ensure data quality, reduce processing time, and manage costs effectively while leveraging Azure’s cloud infrastructure. This makes the DP-203 training highly relevant for individuals seeking to advance in data engineering roles or organizations looking to enhance their cloud-based data solutions.

Moreover, the course is structured to cater to different learning paces, offering a combination of video lectures, hands-on labs, quizzes, and assignments. Each module is carefully crafted to build upon the previous one, ensuring a smooth and coherent learning journey. Learners will also have access to community forums and support resources to address queries and share insights, fostering a collaborative learning environment.

The DP-203 course provides learners with the tools to develop scalable, efficient, and secure data solutions that meet the demands of modern enterprises. It bridges the gap between understanding data engineering concepts and applying them effectively on the Azure platform. With cloud adoption accelerating across industries, mastering Azure data engineering has become a crucial skill set for professionals seeking career growth and opportunities in the rapidly evolving technology landscape.

What You Will Learn From This Course

By completing this course, learners will gain expertise in a variety of critical areas of data engineering on Microsoft Azure. The training is designed to equip participants with the practical skills necessary to design and implement robust data solutions. The key learning outcomes include:

• Understanding the principles of data engineering and cloud computing on Azure
  
  

• Designing and implementing data storage solutions using Azure Data Lake, Azure Blob Storage, and SQL-based data stores
  
  

• Building and managing data pipelines using Azure Data Factory and Azure Synapse Analytics
  
  

• Implementing data processing solutions with Azure Databricks, Azure Stream Analytics, and HDInsight
  
  

• Integrating data from various sources including structured, semi-structured, and unstructured formats
  
  

• Ensuring data quality, consistency, and governance throughout the data lifecycle
  
  

• Implementing security measures such as data encryption, role-based access control, and monitoring strategies
  
  

• Optimizing data solutions for performance, scalability, and cost-effectiveness
  
  

• Applying best practices in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes
  
  

• Leveraging advanced analytics and machine learning integration using Azure services
  
  

• Monitoring, troubleshooting, and maintaining data pipelines in production environments
  
  

• Preparing for the DP-203 certification exam with confidence

This structured set of learning outcomes ensures that learners not only grasp the theoretical aspects of data engineering but also develop the practical capabilities to deploy and manage enterprise-level data solutions on Azure. Each skill learned is directly applicable to real-world projects, making the course highly valuable for career advancement in cloud-based data engineering.

Learning Objectives

The learning objectives of this course are carefully aligned with the competencies required for a proficient Azure Data Engineer. By the end of the program, participants will be able to:

• Identify appropriate data storage solutions based on business requirements and data types
  
  

• Develop and orchestrate data pipelines to automate data movement and transformation
  
  

• Implement batch and real-time data processing workflows
  
  

• Secure data environments using Azure’s security features and compliance standards
  
  

• Monitor and optimize performance of data solutions across Azure services
  
  

• Apply governance policies to maintain data quality and compliance
  
  

• Collaborate with data scientists, analysts, and other stakeholders to deliver data-driven solutions
  
  

• Integrate Azure data services to create end-to-end analytics solutions
  
  

• Troubleshoot common issues in data engineering workflows and implement corrective measures
  
  

• Demonstrate readiness to successfully pass the DP-203 certification exam

Each objective is designed to reinforce hands-on experience while ensuring a strong theoretical foundation. The course employs practical labs, interactive exercises, and real-world scenarios to achieve these objectives, preparing learners for the demands of modern data engineering roles.

Requirements

While the DP-203 course is accessible to a wide range of learners, there are certain requirements and recommendations to ensure participants can maximize the learning experience. These include:

• A basic understanding of cloud computing concepts and services
  
  

• Familiarity with database concepts, including relational and non-relational databases
  
  

• Knowledge of programming languages such as Python, SQL, or Scala is beneficial
  
  

• Experience with data modeling and data warehousing concepts is recommended
  
  

• Access to an active Microsoft Azure account to complete hands-on labs and exercises
  
  

• Willingness to learn and experiment with new tools and technologies
  
  

• Basic understanding of networking, security, and data governance principles
  
  

• Commitment to completing exercises, assessments, and projects to reinforce learning

By meeting these requirements, learners can ensure they fully engage with the course content and derive maximum value from the training. The hands-on nature of the program allows participants to apply concepts immediately, solidifying understanding and building confidence in real-world scenarios.

Course Description

The DP-203: Data Engineering on Microsoft Azure Certification Training is a meticulously designed course that combines theoretical instruction with practical, hands-on exercises to build proficiency in Azure data engineering. This course is ideal for individuals seeking to advance their careers in data engineering, cloud computing, and analytics.

The training covers a wide range of Azure services and tools, including Azure Data Factory for data orchestration, Azure Synapse Analytics for data warehousing, Azure Databricks for big data processing, and Azure Stream Analytics for real-time analytics. Learners will also explore storage solutions such as Azure Data Lake Storage and Blob Storage, enabling them to manage structured, semi-structured, and unstructured data effectively.

In addition to technical skills, the course emphasizes best practices in security, governance, and performance optimization. Participants will learn how to implement data encryption, configure role-based access control, monitor data pipelines, and apply governance policies to ensure compliance and data quality. This comprehensive approach ensures learners are well-equipped to design, implement, and manage secure, scalable, and cost-effective data solutions.

The course also includes scenario-based exercises and projects that simulate real-world challenges. Learners will practice designing end-to-end data pipelines, integrating multiple data sources, transforming data for analytics, and deploying solutions in a production environment. These practical experiences help bridge the gap between theory and application, enabling participants to confidently apply their skills in professional settings.

Furthermore, the course prepares learners for the DP-203 certification exam by aligning content with the exam objectives. Participants will gain an in-depth understanding of data engineering principles on Azure, including data storage, processing, security, and monitoring. This preparation ensures that learners not only acquire knowledge but also develop the practical skills needed to succeed in the certification exam and advance their careers.

Throughout the program, learners will have access to instructor-led sessions, video tutorials, interactive labs, quizzes, and community forums. This multi-faceted approach caters to diverse learning styles and helps reinforce knowledge retention. By the end of the course, participants will be confident in their ability to design, implement, and manage data solutions on Microsoft Azure.

Target Audience

The DP-203 course is designed for a wide range of learners, from early-career professionals to experienced data engineers seeking to validate their skills. The target audience includes:

• Aspiring data engineers looking to start a career in Azure data engineering
  
  

• Database administrators seeking to transition to cloud-based data solutions
  
  

• Data analysts and business intelligence professionals wanting to expand their technical skills
  
  

• Cloud architects aiming to specialize in data engineering solutions
  
  

• IT professionals seeking certification and formal recognition of their Azure expertise
  
  

• Developers who work with data-intensive applications and want to leverage Azure services
  
  

• Professionals preparing for the DP-203 certification exam to enhance career prospects

By addressing the needs of this diverse audience, the course ensures that learners from various backgrounds can benefit from the training. The practical, hands-on approach allows participants to apply concepts immediately, regardless of prior experience, and build a strong foundation in data engineering on Microsoft Azure.

The course also supports career advancement by providing skills that are highly sought after in the job market. With organizations increasingly adopting cloud-based data solutions, certified Azure data engineers are in high demand. The training equips learners with the knowledge and practical experience required to design, implement, and manage data solutions effectively, opening up opportunities for career growth and professional recognition.

Prerequisites

To ensure a smooth learning experience, participants are encouraged to meet certain prerequisites before enrolling in the DP-203 course. These prerequisites help learners fully engage with the material and maximize the benefits of the training. Key prerequisites include:

• Basic knowledge of cloud computing and familiarity with cloud service models such as IaaS, PaaS, and SaaS
  
  

• Understanding of relational and non-relational database concepts
  
  

• Familiarity with SQL queries and basic programming skills in Python or another relevant language
  
  

• Experience with data modeling, ETL processes, and data warehousing concepts is advantageous
  
  

• Awareness of networking fundamentals, including virtual networks and firewalls
  
  

• Basic understanding of security principles, including authentication, authorization, and encryption
  
  

• Willingness to engage in hands-on labs, exercises, and projects
  
  

• Commitment to studying and practicing regularly to reinforce learning and prepare for certification

Meeting these prerequisites ensures that learners can effectively navigate the course content and successfully complete exercises and labs. While some foundational knowledge is recommended, the course is designed to build skills progressively, allowing participants to learn at a steady pace while gaining practical experience with Azure data engineering tools and services.

The combination of structured learning, hands-on practice, and alignment with industry standards ensures that participants acquire both the knowledge and skills necessary to excel as Azure data engineers. This comprehensive approach makes the DP-203 course a valuable investment for anyone looking to advance their career in cloud-based data engineering and achieve professional certification.

Course Modules/Sections

The DP-203: Data Engineering on Microsoft Azure Certification Training is organized into carefully designed modules to ensure a structured and comprehensive learning journey. Each module is focused on key aspects of Azure data engineering and builds upon the previous one, enabling participants to develop a deep understanding of the platform while gaining practical experience.

The first module introduces learners to the fundamentals of data engineering on Azure, including an overview of cloud computing concepts, Azure architecture, and the role of a data engineer in modern organizations. Participants will explore the types of data solutions that can be implemented on Azure, the different storage options available, and how these solutions fit within the broader landscape of enterprise data management.

Subsequent modules focus on data storage and management. Learners will gain hands-on experience with Azure Data Lake Storage, Blob Storage, and SQL-based data stores, learning how to store structured, semi-structured, and unstructured data efficiently. This section emphasizes best practices for data organization, partitioning, indexing, and security to ensure optimal performance and compliance with organizational standards.

The data integration module covers the design and implementation of data pipelines using Azure Data Factory and Azure Synapse Analytics. Participants will learn how to automate data movement, orchestrate complex workflows, and transform data using both batch and real-time processing techniques. Practical exercises simulate real-world scenarios, providing learners with the confidence to handle enterprise-grade data integration challenges.

Advanced modules focus on data processing and analytics. Learners will explore big data processing with Azure Databricks, real-time analytics using Azure Stream Analytics, and distributed data processing with HDInsight. These modules provide in-depth exposure to programming with Python, Spark, and SQL, enabling participants to process large datasets efficiently while implementing transformations that support advanced analytics and machine learning initiatives.

Security, governance, and monitoring are emphasized in dedicated modules. Participants will learn how to implement role-based access control, data encryption, and auditing to secure sensitive data. Additionally, monitoring tools and strategies are covered to ensure data pipelines operate efficiently, errors are identified quickly, and performance is optimized for cost-effectiveness.

The final modules integrate all prior learning to build end-to-end data solutions. Learners will design and implement projects that simulate enterprise environments, combining storage, integration, processing, and analytics components. These capstone projects provide a practical context to apply all the skills acquired throughout the course, ensuring readiness for real-world challenges and the DP-203 certification exam.

Key Topics Covered

The DP-203 course covers a wide array of topics essential for a proficient Azure data engineer. These topics are carefully curated to ensure participants develop both foundational knowledge and advanced skills needed to design and implement data solutions effectively.

• Overview of data engineering and cloud computing principles
  
  

• Introduction to Microsoft Azure architecture and services
  
  

• Data storage options: Azure Data Lake Storage, Azure Blob Storage, and SQL databases
  
  

• Data modeling, partitioning, indexing, and data organization strategies
  
  

• Designing and implementing data pipelines using Azure Data Factory
  
  

• Batch and real-time data processing with Azure Synapse Analytics and Azure Databricks
  
  

• Big data processing with Spark and distributed computing concepts
  
  

• Real-time analytics using Azure Stream Analytics
  
  

• Data integration from multiple structured and unstructured sources
  
  

• Ensuring data quality, consistency, and governance
  
  

• Implementing security measures including encryption, role-based access control, and auditing
  
  

• Performance optimization, scalability, and cost management strategies
  
  

• Monitoring and troubleshooting data pipelines in production environments
  
  

• End-to-end project implementation integrating multiple Azure services
  
  

• Preparation strategies for the DP-203 certification exam

These topics are designed to equip learners with the technical expertise and practical experience needed to manage data solutions in enterprise environments. The structured approach ensures participants gradually build knowledge while gaining confidence through hands-on exercises and projects.

Teaching Methodology

The teaching methodology of the DP-203 course is designed to combine theoretical instruction with practical, hands-on learning experiences. The course employs a blended approach that ensures participants not only understand the concepts behind data engineering on Azure but also develop the skills to implement solutions effectively.

Instruction is delivered through high-quality video lectures, which break down complex topics into easy-to-understand segments. Each lecture provides clear explanations, real-world examples, and demonstrations of Azure services and tools. This approach helps learners grasp key concepts quickly while understanding their practical applications.

Hands-on labs are a critical component of the methodology. These labs allow participants to work directly with Azure services, creating data pipelines, configuring storage solutions, and performing data transformations in simulated enterprise environments. By engaging with real-world scenarios, learners reinforce their understanding and gain confidence in applying their knowledge.

Interactive exercises and quizzes are used to assess comprehension throughout the course. These activities provide immediate feedback, helping participants identify areas for improvement while reinforcing key concepts. Assignments and projects are designed to challenge learners, encouraging them to apply their skills creatively and develop problem-solving abilities relevant to data engineering tasks.

Additionally, the course emphasizes collaboration and community learning. Participants have access to forums and discussion boards where they can ask questions, share experiences, and exchange ideas with peers and instructors. This collaborative environment fosters deeper understanding and allows learners to benefit from diverse perspectives and insights.

Regular assessments are integrated into the methodology to ensure progress tracking. Participants receive guidance on best practices, optimization strategies, and troubleshooting techniques, enabling them to refine their skills continuously. By combining theory, practice, and collaboration, the teaching methodology ensures learners achieve proficiency in Azure data engineering and are well-prepared for the DP-203 certification exam.

Assessment & Evaluation

Assessment and evaluation in the DP-203 course are structured to measure both knowledge acquisition and practical skill development. Participants are evaluated through a combination of quizzes, hands-on labs, assignments, and capstone projects, ensuring a holistic understanding of the material.

Quizzes are designed to test comprehension of key concepts, providing learners with immediate feedback to reinforce learning. These assessments cover theoretical aspects such as data storage principles, pipeline design, and security practices. By consistently engaging with quizzes, participants can identify knowledge gaps early and focus their efforts on areas requiring improvement.

Hands-on labs form a critical part of the evaluation process. These labs simulate real-world scenarios, requiring participants to implement data pipelines, configure storage solutions, and perform transformations using Azure services. Evaluation criteria for labs include accuracy, efficiency, adherence to best practices, and the ability to troubleshoot issues effectively. By completing these labs, learners demonstrate their ability to apply theoretical knowledge in practical contexts.

Assignments and projects provide opportunities for deeper evaluation. Participants are tasked with designing end-to-end data solutions that integrate multiple Azure services. These projects assess problem-solving skills, creativity, and the ability to implement scalable and secure solutions. Instructors provide detailed feedback on performance, helping learners refine their techniques and approach complex data engineering challenges.

Capstone projects serve as the culmination of the course, allowing participants to showcase their overall proficiency. These projects require comprehensive application of all concepts learned, including data storage, pipeline orchestration, data processing, security, governance, and monitoring. Evaluation criteria focus on completeness, correctness, efficiency, and adherence to industry best practices, ensuring that learners are prepared to succeed in professional environments.

By combining quizzes, labs, assignments, and projects, the assessment and evaluation framework ensures that participants gain both theoretical knowledge and practical competence. Continuous feedback and progress tracking enable learners to build confidence and readiness for the DP-203 certification exam and real-world data engineering roles.

Benefits of the Course

The DP-203 course offers numerous benefits for learners seeking to advance their careers in data engineering and cloud computing. By completing the training, participants gain a comprehensive understanding of Microsoft Azure’s data services, develop practical skills, and enhance their professional credibility.

One of the primary benefits is the acquisition of in-demand technical skills. Participants learn to design, implement, and manage data solutions on Azure, including storage, processing, and analytics. These skills are highly sought after in today’s technology-driven job market, providing learners with a competitive edge and opening doors to lucrative career opportunities.

The course also emphasizes hands-on experience. Through labs, projects, and assignments, participants gain practical proficiency in using Azure tools and services. This experiential learning approach ensures that learners can apply their knowledge effectively in real-world scenarios, increasing their confidence and employability.

Another significant benefit is certification readiness. The DP-203 course is aligned with the Microsoft certification exam objectives, providing learners with the knowledge and skills required to pass the exam successfully. Achieving the DP-203 certification demonstrates professional competency, enhancing credibility with employers and clients alike.

Additionally, participants gain insights into best practices in data engineering, including security, governance, and performance optimization. These skills are critical for ensuring that data solutions are reliable, compliant, and cost-effective. The course also fosters problem-solving abilities, critical thinking, and project management skills, which are valuable in any professional setting.

Networking and collaboration opportunities further enhance the course experience. Participants can engage with peers and instructors through forums and discussion boards, sharing experiences, seeking advice, and building professional connections. This collaborative learning environment adds value by enabling participants to learn from diverse perspectives and real-world experiences.

Overall, the DP-203 course provides a holistic learning experience that combines technical knowledge, practical skills, certification preparation, and professional development, making it an ideal investment for aspiring and experienced data engineers alike.

Course Duration

The duration of the DP-203: Data Engineering on Microsoft Azure Certification Training varies depending on the learning format and pace. Typically, the course is designed to be completed over a period of 8 to 12 weeks when following a structured schedule.

For learners pursuing a full-time intensive format, the course may be completed in approximately four to six weeks. This accelerated schedule includes daily lessons, labs, and exercises, enabling participants to progress rapidly while maintaining comprehension and retention of key concepts.

Part-time learners or working professionals may take 10 to 12 weeks to complete the course, depending on the time they can dedicate each week. The course structure allows flexibility, enabling participants to balance learning with professional or personal commitments while gradually building proficiency in Azure data engineering.

Each module is designed to be completed sequentially, with a combination of lectures, labs, quizzes, and assignments. The structured approach ensures that learners develop foundational knowledge before progressing to advanced topics, allowing for continuous reinforcement and practical application of concepts.

Capstone projects and assessment activities are integrated into the timeline to provide learners with opportunities to demonstrate their mastery of skills and apply knowledge in real-world scenarios. This ensures that participants emerge from the course with both theoretical understanding and hands-on experience.

Tools & Resources Required

Participants in the DP-203 course require access to specific tools and resources to fully engage with the learning content and complete hands-on exercises. The primary resource is an active Microsoft Azure account, which provides access to a wide range of services including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage, and more.

Familiarity with programming languages such as Python and SQL is highly recommended, as these are commonly used for data processing, querying, and pipeline development. Participants may also need access to IDEs (Integrated Development Environments) such as Visual Studio Code or Azure Databricks notebooks to implement coding exercises efficiently.

Additional resources include course-provided materials, including lecture slides, video tutorials, sample datasets, and lab instructions. These materials are designed to guide learners through practical exercises and reinforce theoretical concepts. Access to forums, discussion boards, and instructor support is also valuable for clarifying doubts and sharing insights.

Basic computing resources such as a laptop with reliable internet access, sufficient storage, and the ability to run cloud-based applications are essential for completing exercises and labs. Knowledge of data visualization tools and analytics software may also be beneficial, depending on the depth of projects undertaken.

Overall, the tools and resources required for the course are designed to be accessible, ensuring that participants can focus on learning and applying data engineering skills effectively without unnecessary technical barriers.

Career Opportunities

Completing the DP-203 course opens up a wide range of career opportunities in the rapidly growing field of data engineering and cloud computing. Azure-certified data engineers are in high demand across industries including technology, finance, healthcare, retail, and logistics, as organizations increasingly rely on cloud-based solutions for data storage, processing, and analytics.

Career roles available to DP-203-certified professionals include Azure Data Engineer, Cloud Data Engineer, Data Integration Specialist, Data Pipeline Developer, Big Data Engineer, and Analytics Engineer. These roles involve designing, implementing, and managing end-to-end data solutions, ensuring data quality, security, and accessibility for business intelligence and advanced analytics applications.

In addition to technical roles, certified professionals may advance into leadership positions such as Data Engineering Manager, Cloud Solutions Architect, or Analytics Team Lead. These positions require not only technical expertise but also strategic planning, project management, and collaboration skills, all of which are reinforced through the comprehensive DP-203 course.

The certification also enhances professional credibility, demonstrating proficiency in Microsoft Azure data services and cloud-based data engineering. This recognition is highly valued by employers and can lead to higher salaries, increased responsibilities, and access to global career opportunities.

Freelancers and consultants can also benefit from the DP-203 certification, offering specialized services in Azure data engineering to clients seeking scalable, efficient, and secure cloud solutions. The combination of technical expertise and formal certification positions professionals to succeed in both organizational and independent career paths.

Enroll Today

Enrolling in the DP-203: Data Engineering on Microsoft Azure Certification Training provides an opportunity to gain in-demand skills, hands-on experience, and professional recognition in the field of data engineering. The course is designed for learners at various stages of their careers, whether they are aspiring data engineers, experienced IT professionals, or analysts seeking to expand their expertise in cloud-based data solutions.

The enrollment process is straightforward and provides access to comprehensive course materials, interactive labs, assignments, and instructor support. Participants can begin learning at their own pace, leveraging flexible schedules and online resources to balance professional or personal commitments.

By enrolling today, learners can embark on a structured journey to develop proficiency in Azure data services, build practical skills, and prepare for the DP-203 certification exam. The knowledge and experience gained through the course equip participants to tackle real-world data engineering challenges, optimize cloud-based solutions, and advance their careers in a rapidly growing and competitive industry.

The combination of high-quality instruction, practical experience, and alignment with industry standards ensures that participants receive a valuable and impactful learning experience. Enrolling in the DP-203 course is an investment in professional growth, technical competence, and long-term career success in the field of data engineering on Microsoft Azure.

Certbolt's total training solution includes DP-203: Data Engineering on Microsoft Azure certification video training course, Microsoft DP-203 practice test questions and answers & exam dumps which provide the complete exam prep resource and provide you with practice skills to pass the exam. DP-203: Data Engineering on Microsoft Azure certification video training course provides a structured approach easy to understand, structured approach which is divided into sections in order to study in shortest time possible.