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Data Science

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A data science course syllabus typically covers a broad range of topics to equip students with the necessary skills and knowledge in statistics, programming, machine learning, and data analysis

₦150000

Hours

Last updated Wed, 01-Jan-2025

0 Lessons Hours English
A data science course syllabus typically covers a broad range of topics to equip students with the necessary skills and knowledge in statistics, programming, machine learning, and data analysis
Outcomes:
  • Key skills include proficiency in programming languages (Python, R), knowledge of machine learning algorithms, statistical analysis, data visualization, and the ability to communicate insights effectively. Understanding databases and big data technologies is also important.

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Machine Learning

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Machine learning is a subset of Artificial Intelligence (AI) that enables computers to learn from data and make predictions without being explicitly programmed. If you're new to this field, we will provide you with a comprehensive understanding of machine learning, its types, algorithms, tools, and practical applications, and more

₦250000

Hours

Last updated Wed, 01-Jan-2025

0 Lessons Hours English
Machine learning is a subset of Artificial Intelligence (AI) that enables computers to learn from data and make predictions without being explicitly programmed. If you're new to this field, we will provide you with a comprehensive understanding of machine learning, its types, algorithms, tools, and practical applications, and more
Outcomes:
  • Learning algorithms helps you solve real-world problems without or with minimal human intervention.

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Software Engineering

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You will learn all the basic to advanced concepts, like Software Engineering Models and Architecture, Software development life cycle, software project management, software metrics, software requirements, etc

₦450000

Hours

Last updated Wed, 01-Jan-2025

0 Lessons Hours English
You will learn all the basic to advanced concepts, like Software Engineering Models and Architecture, Software development life cycle, software project management, software metrics, software requirements, etc
Outcomes:
  • Classical Waterfall Model Iterative Waterfall Model Spiral Model Incremental process model Rapid application development model(RAD) RAD Model vs Traditional SDLC Agile Development Models Agile Software Development Extreme Programming (XP) SDLC V-Model Comparison of different life cycle models

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Cybersecurity

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Our Cyber security courses are designed to provide a comprehensive understanding of the field, covering both fundamental and advanced concepts. These tutorials are suitable for beginners and experienced professionals alike, offering insights into network security, cryptography, threat detection, and incident response.

₦450000

Hours

Last updated Wed, 01-Jan-2025

0 Lessons Hours English
Our Cyber security courses are designed to provide a comprehensive understanding of the field, covering both fundamental and advanced concepts. These tutorials are suitable for beginners and experienced professionals alike, offering insights into network security, cryptography, threat detection, and incident response.
Outcomes:
  • Best practices include educating employees about cyber hygiene, implementing strong password policies, avoiding insecure personal devices for company use, and mixing personal and work-related documents and emails.

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Media and Advertising

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Social Media Marketing is the activity of driving website traffic through social media sites. This is a brief tutorial that explains how you can use popular social media platforms such as Facebook, Twitter, LinkedIn, and Google+ to promote your business and create greater awareness about the products and services you offer.

₦150000

Hours

Last updated Thu, 02-Jan-2025

0 Lessons Hours English
Social Media Marketing is the activity of driving website traffic through social media sites. This is a brief tutorial that explains how you can use popular social media platforms such as Facebook, Twitter, LinkedIn, and Google+ to promote your business and create greater awareness about the products and services you offer.
Outcomes:
  • Good understanding of the fundamental concepts of marketing, advertising, and analyzing products and audience.

Top categories

These are the most popular courses among listen courses learners worldwide

Top 10 Latest courses

These are the most latest courses among listen courses learners worldwide

Advanced

Media and Advertising

0

(0 Reviews)

Compare

Social Media Marketing is the activity of driving website traffic through social media sites. This is a brief tutorial that explains how you can use popular social media platforms such as Facebook, Twitter, LinkedIn, and Google+ to promote your business and create greater awareness about the products and services you offer.

₦150000

Hours

Last updated Thu, 02-Jan-2025

0 Lessons Hours English
Social Media Marketing is the activity of driving website traffic through social media sites. This is a brief tutorial that explains how you can use popular social media platforms such as Facebook, Twitter, LinkedIn, and Google+ to promote your business and create greater awareness about the products and services you offer.
Outcomes:
  • Good understanding of the fundamental concepts of marketing, advertising, and analyzing products and audience.

Advanced

Cybersecurity

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(0 Reviews)

Compare

Our Cyber security courses are designed to provide a comprehensive understanding of the field, covering both fundamental and advanced concepts. These tutorials are suitable for beginners and experienced professionals alike, offering insights into network security, cryptography, threat detection, and incident response.

₦450000

Hours

Last updated Wed, 01-Jan-2025

0 Lessons Hours English
Our Cyber security courses are designed to provide a comprehensive understanding of the field, covering both fundamental and advanced concepts. These tutorials are suitable for beginners and experienced professionals alike, offering insights into network security, cryptography, threat detection, and incident response.
Outcomes:
  • Best practices include educating employees about cyber hygiene, implementing strong password policies, avoiding insecure personal devices for company use, and mixing personal and work-related documents and emails.

Advanced

Software Engineering

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(0 Reviews)

Compare

You will learn all the basic to advanced concepts, like Software Engineering Models and Architecture, Software development life cycle, software project management, software metrics, software requirements, etc

₦450000

Hours

Last updated Wed, 01-Jan-2025

0 Lessons Hours English
You will learn all the basic to advanced concepts, like Software Engineering Models and Architecture, Software development life cycle, software project management, software metrics, software requirements, etc
Outcomes:
  • Classical Waterfall Model Iterative Waterfall Model Spiral Model Incremental process model Rapid application development model(RAD) RAD Model vs Traditional SDLC Agile Development Models Agile Software Development Extreme Programming (XP) SDLC V-Model Comparison of different life cycle models

Advanced

Machine Learning

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(0 Reviews)

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Machine learning is a subset of Artificial Intelligence (AI) that enables computers to learn from data and make predictions without being explicitly programmed. If you're new to this field, we will provide you with a comprehensive understanding of machine learning, its types, algorithms, tools, and practical applications, and more

₦250000

Hours

Last updated Wed, 01-Jan-2025

0 Lessons Hours English
Machine learning is a subset of Artificial Intelligence (AI) that enables computers to learn from data and make predictions without being explicitly programmed. If you're new to this field, we will provide you with a comprehensive understanding of machine learning, its types, algorithms, tools, and practical applications, and more
Outcomes:
  • Learning algorithms helps you solve real-world problems without or with minimal human intervention.

Advanced

Data Science

0

(0 Reviews)

Compare

A data science course syllabus typically covers a broad range of topics to equip students with the necessary skills and knowledge in statistics, programming, machine learning, and data analysis

₦150000

Hours

Last updated Wed, 01-Jan-2025

0 Lessons Hours English
A data science course syllabus typically covers a broad range of topics to equip students with the necessary skills and knowledge in statistics, programming, machine learning, and data analysis
Outcomes:
  • Key skills include proficiency in programming languages (Python, R), knowledge of machine learning algorithms, statistical analysis, data visualization, and the ability to communicate insights effectively. Understanding databases and big data technologies is also important.

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