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Data Analyst Career Path

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The Data Analyst career path is designed to equip students with the skills and knowledge needed to collect, analyze, and interpret complex data sets to support decision-making in various industries. This comprehensive program covers essential data analysis tools, cybersecurity knowledge, and database management skills, making it ideal for individuals looking to enter or advance in the field of data analysis.

Key Responsibilities: As a Data Analyst, you will be responsible for extracting, organizing, and analyzing data to uncover patterns, trends, and insights that can guide business decisions. Your role will also involve managing and securing data, ensuring its accuracy, and presenting findings to stakeholders in a clear and actionable manner.

Training Included:

  1. Certified Information Systems Auditor (CISA)

    • Level: Advanced

    • Duration: 12 Hours 37 Minutes

    • Focus: Understanding the auditing process for information systems, ensuring data integrity, security, and compliance.

  2. Certified Information Systems Security Professional (CISSP)

    • Level: Advanced

    • Duration: 19 Hours 32 Minutes

    • Focus: Comprehensive coverage of information security management, crucial for protecting data within organizations.

  3. CompTIA Cybersecurity Analyst (CySA+) CS0-003

    • Level: Intermediate to Advanced

    • Duration: 6 Hours 32 Minutes

    • Focus: Skills for detecting and responding to cybersecurity threats, focusing on data protection and security analytics.

  4. CompTIA Security+ (SY0-701)

    • Level: Intermediate

    • Duration: 30 Hours 25 Minutes

    • Focus: Foundational security concepts, including risk management and network security, important for safeguarding data.

  5. Microsoft 70-765 SQL Server 2016 Provisioning SQL Databases

    • Level: Intermediate to Advanced

    • Duration: 22 Hours 58 Minutes

    • Focus: Provisioning, managing, and securing SQL Server databases, essential for data storage and retrieval.

  6. Microsoft SQL Server - Big Data

    • Level: Intermediate to Advanced

    • Duration: 7 Hours 06 Minutes

    • Focus: Handling and analyzing large datasets using SQL Server, focusing on Big Data solutions and techniques.

  7. Microsoft SQL Server 2019 - Introduction to Data Analysis

    • Level: Beginner to Intermediate

    • Duration: 14 Hours 07 Minutes

    • Focus: Basic concepts and techniques of data analysis using SQL Server, a foundational course for aspiring data analysts.

  8. Microsoft SQL Server 2019 - Querying SQL Server

    • Level: Intermediate to Advanced

    • Duration: 10 Hours 05 Minutes

    • Focus: Writing and optimizing queries in SQL Server to extract meaningful data for analysis.

  9. Microsoft SQL Server 2019 Administration

    • Level: Intermediate to Advanced

    • Duration: 7 Hours 37 Minutes

    • Focus: Managing and maintaining SQL Server databases, ensuring their performance, availability, and security.

  10. Microsoft SQL Server 2019 Analysis Services (SSAS)

    • Level: Intermediate to Advanced

    • Duration: 8 Hours 56 Minutes

    • Focus: Using SSAS for multidimensional data analysis, enabling deep insights into business data.

  11. SQL Server 2019 Database Design

    • Level: Intermediate to Advanced

    • Duration: 6 Hours 22 Minutes

    • Focus: Principles of designing efficient and scalable databases using SQL Server, crucial for supporting data analysis.

Learning Outcomes: Upon completion of this program, students will be able to:

  • Extract, query, and analyze data using Microsoft SQL Server and other tools.

  • Design and manage databases, ensuring their security and efficiency.

  • Conduct data audits and ensure compliance with industry standards.

  • Understand and apply cybersecurity principles to protect data integrity.

  • Prepare for industry-recognized certifications such as CISA, CISSP, and CompTIA Security+.

Prerequisites: No prior data analysis or cybersecurity experience is required. However, a basic understanding of IT concepts and an interest in data and analytics will be beneficial.

Certification and Recognition: This program prepares students for several prestigious certifications, including Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), and CompTIA Security+, which are highly regarded in the data and cybersecurity fields.

Career Progression: Graduates of this program can pursue roles such as Data Analyst, Database Administrator, SQL Developer, and Cybersecurity Analyst. With experience and additional certifications, opportunities for advancement include roles such as Senior Data Analyst, Data Scientist, and Information Security Manager.

Self-Paced: Learn on Your Schedule

Our Self-Paced Training programs are designed for busy professionals and independent learners. Enjoy the flexibility to study at your own pace, on your own time.

  • Flexible Learning: Study whenever it suits you, with no deadlines or fixed schedules.

  • Comprehensive Resources: Access video lessons, readings, and interactive exercises at your convenience.

  • 12-Month Access: Enjoy a full year of access to technical training content, with the option to renew annually

Take control of your learning journey with our self-paced training—start when you’re ready, and progress at your own pace.

Guided Learning: Unlock Your Potential with Personalized Mentorship

Are you navigating a self-paced course but craving more guidance and clarity? Our Guided Learning Program option blends the flexibility of self-paced study with the personalized support of live mentorship. This unique approach allows you to move at your own speed while gaining insights and advice from an industry expert at key stages.

What’s Included:

  • Self-Paced Learning: Follow the course at your own pace.

  • Personalized Mentorship: Three live sessions with expert advice, helping you overcome challenges, build confidence, and stay accountable.

  • Real-Time Support: Get your questions answered in real-time during live Q&A sessions or via our platform.

  • Peer Interaction: Join a community of learners for collaboration, feedback, and encouragement.

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