IT :Information technology Training

Unlock the World of Information Technology with Our Comprehensive Course

In today's digitally driven world, Information Technology (IT) stands as the backbone of virtually every industry. The demand for IT professionals is skyrocketing, making it one of the most sought-after domains in the job market. Are you ready to harness the power of IT to boost your career or business? Look no further; our Information Technology Training course is designed to equip you with the essential knowledge and skills to thrive in this dynamic field.

Why Information Technology Matters:

1. In-Demand Skills: Information Technology professionals are in high demand across various sectors. From cybersecurity experts to network administrators, the job market is teeming with opportunities.

2. Business Advancement: In the business world, IT plays a pivotal role in streamlining operations, optimizing processes, and staying competitive. A strong IT foundation can give your business a significant edge.

3. Problem Solving: IT professionals are the go-to problem solvers. They tackle complex issues, troubleshoot tech glitches, and keep systems running smoothly.

4. Innovation Hub: IT is at the forefront of innovation. If you're passionate about creating cutting-edge solutions, this is the field where groundbreaking ideas come to life.

What Our Course Offers:

• Comprehensive IT Fundamentals: Gain a solid understanding of the core concepts that underpin the IT landscape.

• Networking Know-How: Explore the world of networks, protocols, and connectivity.

• Cybersecurity Essentials: Learn how to protect systems and data from evolving threats.

• Software and Hardware: Dive into the realms of software development and hardware configurations.

• Cloud Computing: Explore the future of IT with cloud technologies and services.

• Database Management: Master the art of organizing and managing data effectively.

• IT in Business: Understand how IT drives business growth and innovation.

• Tech Trends: Stay updated with the latest trends and emerging technologies in the IT sector.

Whether you're looking to advance your career, enhance your business operations, or simply stay informed in this digital age, our Information Technology Training course is your gateway to success. Join us, and let's embark on this IT journey together. The future of technology awaits.

Free Gift

• IT Training Course Completion PDF Certificate
• Tutor Support

Certificate of completion

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included

• IT Course 53:00

  • 1: IT module 1 07:00
  • 2: IT module 2 05:00
  • 3: IT module 3 07:00
  • 4: IT module 4 07:00
  • 5: IT module 5 09:00
  • 6: IT module 6 10:00
  • 7: IT module 7 08:00

• Data Analysis 37:00

  • 8: Module 1 Introduction to Data Analysis _ its Applications 07:00
  • 9: Module 2 Probability _ Probability Distributions 08:00
  • 10: Module 3 Decision making and Factors to account for 07:00
  • 11: Module 4 Data Mining 07:00
  • 12: Module 5 Optimization _ Situation modelling 08:00

• Data Entry 1:07:00

  • 13: Module 1 – Introduction to Data Entry 08:00
  • 14: Module 2 – Types of Data Entry 07:00
  • 15: Module 3 – Data Entry Jobs 08:00
  • 16: Module 4 – Data Entry Standards –Guidelines and Examples 07:00
  • 17: Module 5 – Using Excel for Efficient Data Entry 08:00
  • 18: Module 6 – Using Flash Fill in Excel 11:00
  • 19: Module 7 – How to Create a Data Entry Form in Excel 11:00
  • 20: Module 8 – Managing Workbooks 07:00

• GDPR 1:02:00

  • 21: GDPR_ Module 01 – Introduction to GDPR 07:00
  • 22: GDPR_ Module 02 – Scope of GDPR 10:00
  • 23: GDPR_ Module 03 – Important Requirements 07:00
  • 24: GDPR_ Module 04 – Data Rights of GDPR 08:00
  • 25: GDPR_ Module 05 – Handling Supervising Authorities 07:00
  • 26: GDPR_ Module 06 – Fines and their Enforcement 09:00
  • 27: GDPR_ Module 07 – Special Categories of Data 07:00
  • 28: GDPR_ Module 08 – Nation Specific Clauses 07:00

• Introduction to Python 49:00

  • 29: Module - 1 08:00
  • 30: Module - 2 Variables 08:00
  • 31: Module - 3 Conditional Statements 09:00
  • 32: Module - 4 Loops 08:00
  • 33: Module - 5 Functions 07:00
  • 34: Module - 6 Collection Objects 09:00

• Go Lang 45:00

  • 35: Go language module 1_2 14:00
  • 36: Go language module 2 08:00
  • 37: Go language module 3 08:00
  • 38: Go language module 4 08:00
  • 39: Go language module 5 07:00

• Network Engineering 58:00

  • 40: Module – 01_ Introduction to Telecommunications 09:00
  • 41: Module – 02_ Signals Carries Over The Network 07:00
  • 42: Module – 03_ Transmission 08:00
  • 43: Module – 04_ Mobile Communications 08:00
  • 44: Module – 05_ Data Communications 08:00
  • 45: Module – 06_ Global System for Mobile Communication 10:00
  • 46: Module – 07_ Application Services of Telecommunication Network 08:00

• Cyber Security 41:00

  • 47: Module 01_ Introduction to Cyber Security 06:00
  • 48: Module 02 – Attacks, Techniques _ Motivations 07:00
  • 49: Module 03_ Exploitation 05:00
  • 50: Module 04_ Malicious code 08:00
  • 51: Module 05_ Legal, Ethical _ Professional Practice 07:00
  • 52: Module 06_ Present day tools 08:00

• Google Data Studio 1:04:00

  • 53: Module 01_ Introduction to Google Data Studio 06:00
  • 54: Module 02_ Why Use Google Data Studio Over Others 09:00
  • 55: Module 3_ How to Use Google Data Studio 06:00
  • 56: Module 04_ Dashboard In Google Data Studio 07:00
  • 57: Module 05_ How to Create Report In Google Data Studio 08:00
  • 58: Module 06_ Additional Features in Google Data Studio 07:00
  • 59: Module 07_ Google Data Studio Calculated Formula and Functions 08:00
  • 60: Module 08_ Google Data Studio Data Blending and Sharing Reports 07:00
  • 61: Module 09_ Ways to Share Google Data Studio Reports 06:00

• Google Analytics 16:00

  • 62: Module 1 Installing Analytics 03:00
  • 63: Module 2 The Five Report Suites 03:00
  • 64: Module 3 Basic Date Range Reports 03:00
  • 65: Module 4 Goals 03:00
  • 66: Module 5 Practical Uses for Analytics 04:00

• Data Analytics with Tableau 1:06:00

  • 67: Module 01_ Data Analytics 06:00
  • 68: Module 02_ Why Use Tableau for Data Analytics 07:00
  • 69: Module 03_ Getting Started With Tableau 08:00
  • 70: Module 04_ Tableau Data Source (TDS) 08:00
  • 71: Module 05_ Tableau Worksheets 07:00
  • 72: Module 06_ Tableau Calculations 08:00
  • 73: Module 07_ Tableau Sort _ Filters 07:00
  • 74: Module 08_ Tableau Charts 08:00
  • 75: Module 09_ Tableau Advanced 07:00

• MS Excel 1:05:00

  • 76: MS. Excel Module 1 05:00
  • 77: MS. Excel Module 2 11:00
  • 78: MS. Excel Module 3 17:00
  • 79: MS. Excel Module 4 18:00
  • 80: MS. Excel Module 5 06:00
  • 81: MS. Excel Module 6 08:00

• MS PowerPoint 1:03:00

  • 82: Module 1 Introduction to Microsoft PowerPoint 08:00
  • 83: Module 2 Setting up and Managing presentations 13:00
  • 84: Module 3 Creating and Designing slides 10:00
  • 85: Module 4 Animations and Effects 08:00
  • 86: Module 5 Using tables, charts and SmartArt 16:00
  • 87: Module 6 Finalizing Presentations 08:00

• Microsoft Access 1:06:00

  • 88: Module 1 Setting up Microsoft Access 10:00
  • 89: Module 2 Relationships and Keys of a Database 07:00
  • 90: Module 3 Navigation of a Database 10:00
  • 91: Module 4 Manage Database Data 12:00
  • 92: Module 5 Create and Manage Tables 10:00
  • 93: Module 6 Queries 17:00

• Microsoft Outlook 1:08:00

  • 94: Module 1 Introduction to Microsoft Outlook 08:00
  • 95: Module 2 User Interface 09:00
  • 96: Module 3 Email Management Part 1 09:00
  • 97: Module 4 Email Management Part 2 08:00
  • 98: Module 5 Efficient Scheduling 09:00
  • 99: Module 6 Manage Tasks and Notes 08:00
  • 100: Module 7 Contacts 08:00
  • 101: Module 8 Organising Contacts 09:00

Learning Outcomes:

1. Mastery of Probability Distributions: By the end of this module, you will have a comprehensive understanding of probability distributions, enabling you to analyze and model various data sets with statistical precision.

2. Proficiency in Data Mining: You will acquire the skills to effectively extract valuable insights and patterns from vast datasets, a crucial capability for data-driven decision-making in any field.

3. Adeptness in Installing Analytics: This module will empower you to set up and configure advanced analytics tools and platforms, ensuring you can harness the full potential of data analysis in your work or business.

4. Comprehensive Understanding of Cybersecurity: Delve into the world of cyber threats, attack techniques, and the motivations behind them. By the end of this module, you'll be well-equipped to safeguard your data and systems from potential threats.

Now, let's explore each module in detail:

Module 1: Probability Distributions

• Dive into the realm of probability distributions, including normal, binomial, and Poisson distributions.
• Learn how to apply these distributions to real-world scenarios, making informed decisions based on data.

Module 2: Data Mining

• Uncover the art of data mining, discovering hidden patterns, trends, and valuable information within large datasets.
• Acquire hands-on experience with data mining tools and techniques, becoming proficient in data-driven decision-making.

Module 3: Installing Analytics

• Gain the technical know-how to install and configure analytics software and platforms.
• Ensure your analytics environment is optimized for efficient data analysis.

Module 4: Attacks, Techniques & Motivations

• Explore the fascinating world of cybersecurity, delving into various cyber threats, attack techniques, and the motivations behind them.
• Equip yourself with the knowledge and skills needed to protect your data and systems against cyber threats.

This course will equip you with essential knowledge and skills in the field of data analysis and cybersecurity, making you a valuable asset in an increasingly data-centric world. Enroll today to unlock the power of data-driven decision-making and cybersecurity expertise.

Certificate of Completion

After completing the IT Training diploma course, you will be able to obtain your free PDF certificate of course completion.

Ideal Audience for this Course:

1. Data Analysts and Scientists: Data analysts and scientists seeking to enhance their data modeling and data mining skills, as well as gain insights into cybersecurity threats and defenses.

2. IT Professionals: IT professionals interested in expanding their knowledge of data analytics and cybersecurity, enabling them to better protect their organization's data and systems.

3. Business Managers and Decision-Makers: Business leaders who want to leverage data analytics for informed decision-making and understand the cybersecurity landscape to safeguard their company's interests.

4. Entrepreneurs and Start-up Founders: Entrepreneurs and founders looking to harness the power of data analysis for their business growth and to ensure the security of their digital assets.

5. Students and Graduates: Students or recent graduates in computer science, data science, or related fields seeking to gain practical knowledge in probability distributions, data mining, analytics installation, and cybersecurity.

6. Anyone Interested in Data Security: Individuals with a general interest in data security and the techniques used by hackers to protect themselves and their digital identities.

This course is designed to cater to a diverse audience, from data enthusiasts and IT professionals to business leaders and aspiring students. It offers valuable insights into data analysis and cybersecurity, making it suitable for anyone looking to strengthen their knowledge in these critical areas.

The IT Training course has no formal entry requirements.

• IT Support Specialist: Entry-level position with a typical UK salary ranging from £20,000 to £30,000 per year.
• Systems Administrator or Network Engineer: With experience and certifications, salary can advance to between £31,000 and £60,000 annually.
• IT Manager or Chief Information Officer (CIO): Experienced professionals in these roles may earn £61,000 to £100,000 or more, depending on expertise.

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