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Professional Certificate in Data Mining & Machine Learning
Rating: 3.9 out of 5(264 ratings)
1,618 students

Professional Certificate in Data Mining & Machine Learning

Transform from a Beginner to a Machine Learning / Data Science Pro– Investing in Your Future Job Success [2024 Edition]
Created byAcademy of Computing & Artificial Intelligence
Last updated 11/2025
English

What you'll learn

  • Machine Learning - [A -Z] Comprehensive Training with Step by step guidance
  • Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, SVM, Random Forest)
  • Unsupervised Learning - Clustering, K-Means clustering
  • Data Pre-processing - NumPy, Pandas, matplotlib etc [Data Preprocessing is that step in which the data gets transformed, or Encoded]
  • Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
  • Deep Convolutional Generative Adversarial Networks (DCGAN)
  • Java Programming For Data Scientists
  • Python Programming Basics For Data Science

Course content

33 sections • 233 lectures • 28h 46m total length

  • Professional Certificate in Data Mining & Machine Learning2:44

    Introduction

  • What is Machine Learning and why it is Important1:25

    Today, machine learning underlies a range of applications we use every day, from product recommendations to voice& video recognition—as well as some we don't yet use every day, including driverless cars, Robots etc...

    It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data.

    As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as “Big Data” has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced.

    According to the latest report by Indeed, Machine Learning Engineer is the top job in terms of salary, growth and general demand.

  • Stay ahead of the game with machine learning1:27

    Stay ahead of the game with machine learning and its emerging applications

    Professional Certificate in Data Mining & Machine Learning” from Academy of Computing and Artificial Intelligence, UK is the most comprehensive and updated course online for learning about Python, Data Science, Machine Learning and Deep Learning. Trusted by students from 204+ countries.

    Welcome to the most comprehensive course on learning Data Science and Machine Learning on the planet!

    This masterclass provides the best way to go from zero to hero for data science and machine learning Engineers and scientists!

    The typical starting salary for a data scientists can be over $150,000$, and we've created this course to help guide students to learning a set of skills to make them extremely hirable in today's workplace environment.

    We'll cover everything you need to know for the full data science and machine learning tech stack, required at the world's top companies. This course is updated regularly. Therefore, you do not have to buy any other course.

    All the resources and sessions from world class Universities such as (MIT, Harvard, Stanford University, Princeton University etc.. will be available as guest lectures in this course.

    Hope to see you inside. Click Enroll and Join.


  • Who is this course for? And Expert Support for your Queries1:51

    The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech employers. We'll cover the machine learning, AI, and data mining techniques real employers are looking for.

    This course provides a broad introduction to machine learning, datamining, supervised learning, unsupervised learning, deep learning and many more

    This course is FOR

    · Any student in college who wants to start a career in Data Science, Data mining , Machine Learning

    · Any data analysts who want to level up in Machine Learning.

    · Anyone who is not satisfied with their job and who wants to become a Data Scientist.

    · Anyone who wants to create added value to their business by using powerful Machine Learning tools.

    · For anyone who does not have prior knowledge on programming. We have comprehensive chapters on python, Java programming, web development, Algorithms etc..


    We offer full support, answering any questions you have with our dedicated support team. This course will always get updated with the new trending topics. You DO NOT have to buy any other course.

    This is the MOST comprehensive Machine Learning Master class.

    NO risk, There is a 30 Day Satisfaction guarantee

    Click Enroll and Join us for a wonderful Journey.

  • What is Data Mining3:19

    What is data mining?

    Data mining, also known as knowledge discovery in data (KDD), is the process of uncovering patterns and other valuable information from large data sets.


    Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.  - "https://www.ibm.com/cloud/learn/machine-learning"


    Machine Learning vs. Deep Learning vs. Neural Networks

    Since deep learning and machine learning tend to be used interchangeably, it’s worth noting the nuances between the two. Machine learning, deep learning, and neural networks are all sub-fields of artificial intelligence. However, deep learning is actually a sub-field of machine learning, and neural networks is a sub-field of deep learning.

  • What is Machine Learning8:47

    • Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. - "https://www.ibm.com/cloud/learn/machine-learning"


      Machine Learning vs. Deep Learning vs. Neural Networks

      Since deep learning and machine learning tend to be used interchangeably, it’s worth noting the nuances between the two. Machine learning, deep learning, and neural networks are all sub-fields of artificial intelligence. However, deep learning is actually a sub-field of machine learning, and neural networks is a sub-field of deep learning.



  • Types of Learning in Machine learning (Supervised, Unsupervised, Reinforcement )4:01
  • Traditional Programming Vs Machine Learning3:44
  • Classification : Definition10:22

Requirements

  • Computer

Description

Are you ready to take your data skills to the next level? Join us for a comprehensive exploration of the exciting world of data mining and machine learning. This course is designed to provide you with the knowledge and skills you need to unlock the value of big data and gain a competitive edge in today's data-driven world.

Master Data Science: Your Path to a Lucrative Career in Machine Learning [2024 Edition]

Course Description: Embark on a transformative journey from novice to Machine Learning Pro with our comprehensive Professional Certificate in Data Mining & Machine Learning course. In this meticulously crafted masterclass, you'll delve into the world of data science, learning valuable skills and techniques that will not only make you job-ready but also empower you to excel in the fast-evolving field of machine learning.

Course Highlights:

  • Total Duration: 56 hours and 51 minutes of engaging video content.

  • Live Sessions: Benefit from live classes that bring the curriculum to life.

  • Practical Insights: Gain hands-on experience with coding exercises, quizzes, and assignments.

  • Expert Guidance: Navigate your learning journey with expert support and interactive sessions.

Comprehensive Curriculum:

  1. Section 1: Introduction Explore the significance of a Professional Certificate in Data Mining & Machine Learning.

  2. Section 2: Setting up the Environment Learn to set up the environment for Python Machine Learning, including Anaconda and PyCharm IDE.

  3. Section 3: Python Basics For Machine Learning Master Python fundamentals essential for machine learning.

  4. Section 4: Data Manipulation and Visualization Libraries Dive into NumPy, Pandas, and Matplotlib for efficient data handling and visualization.

  5. Section 5: Scikit-learn Essentials Get started with Python's machine learning powerhouse.

  6. Section 6: Understanding Data With Statistics Explore statistical methods for understanding and analyzing data.

  7. Section 7: Data Pre-processing Learn essential data pre-processing techniques, including scaling and normalization.

  8. Section 8: Data Visualization with Python Create impactful visualizations using Python tools.

  9. Section 9: Machine Learning Delve into the core concepts of machine learning in this masterclass section.

  10. Section 10: Machine Learning: Supervised Learning Algorithms Understand and implement a variety of supervised learning algorithms.

  11. Section 11: Artificial Neural Networks Unravel the mysteries of artificial neural networks with comprehensive sessions.

  12. Section 12: Bias & Variance Gain insights into diagnosing bias, variance, and the trade-off between them.

  13. Section 13: Regression Algorithms Explore regression algorithms for predicting continuous outcomes.

  14. Section 14: Machine Learning: Unsupervised Learning Algorithms Dive into unsupervised learning techniques.

  15. Section 15: Clustering Algorithms Master clustering algorithms for data segmentation.

  16. Section 16: Generative Models Understand and implement generative models, including GANs and DCGANs.

  17. Section 17: Natural Language Processing (NLP) Introduction to NLP and its applications in real-world projects.

  18. Section 18: Java & Web For Data Scientists Elevate your skills with Java programming and web development for data scientists.

Invest in Your Future: This course is not just an education; it's an investment in your future. Learn, practice, and master the skills that will make you highly sought-after in the job market. Join us on this exciting journey to becoming a data science and machine learning expert. Your success story begins here!

Note: This course is designed to accommodate beginners, making it accessible to anyone interested in a career in data science.

Unlock the Power of Data Science - Enroll Now and Shape Your Future in Machine Learning!"


The "Data Mining and Machine Learning" course is the perfect solution for anyone looking to complete a research project with confidence. With step-by-step guidance and real-life examples, this comprehensive course covers everything from A to Z. You will learn the latest techniques in data pre-processing, data visualization, artificial neural networks, deep learning, and more. Plus, our expert instructors will provide you with the necessary tools to set up your environment for Python Machine Learning, understand data with statistics, and develop your own deep learning project. Whether you're a student, data analyst, or professional seeking to level up in the field, this course has everything you need to succeed. So why wait? Start your journey to becoming a data mining and machine learning expert today!


Course Learning Outcomes

The objective of this course is to impart a comprehensive understanding of supervised and unsupervised learning within the field of machine learning.

Additionally, the course aims to educate learners on the proper utilization of machine learning techniques.

The program will enable participants to construct appropriate neural models using state-of-the-art Python frameworks and to build neural models from scratch, following detailed instructions.

The course also seeks to equip learners with the ability to develop end-to-end solutions to address real-world problems, as well as to critically evaluate and select the most suitable machine learning solutions.

It should be noted that this course includes instruction in Python programming."


Requirements

  • A computer with internet connection

  • Passion & commitment


"Unlock the Power of Machine Learning with Our Comprehensive Course

Are you ready to delve into the exciting world of machine learning? Our comprehensive course covers everything from setting up the environment for Python machine learning to deep learning and beyond.

At the end of this course, you will have gained a solid understanding of the following:

  • Setting up the Environment for Python Machine Learning

  • Understanding Data with Statistics and Data Pre-processing

  • Scaling, normalization, binarization, and standardization in Python, along with feature selection techniques

  • Data visualization with Python, including bar charts, histograms, and pie charts

  • Supervised & Unsupervised Learning Algorithms


Whether you're a college student, data analyst, or business professional seeking to leverage the power of machine learning, this course is for you. With step-by-step guidance and comprehensive chapters, our experienced instructors will help you build a solid foundation in these cutting-edge technologies.

Enroll now and start your journey to mastering machine learning!"

Additionally, this course covers Java, python programming (A to Z), Web Development, Natural Language Processing, Generative Adversarial Networks and many more.


Does the course get updated?

We continually update the course as well.

What if you have questions?

we offer full support, answering any questions you have.


There’s no risk!

Risk-Free Learning with Udemy's 30-Day Money-Back Guarantee!


This course is designed based on a comprehensive analysis of the skill sets required in data science, data mining, and machine learning positions at major tech employers. The curriculum covers a range of machine learning, AI, and data mining techniques that are in high demand among employers.


The target audience for this course includes:

  • College or university students seeking a career in data science, data mining, or machine learning

  • Data analysts who wish to expand their knowledge in the field of machine learning

  • Individuals seeking to transition into a career as a data scientist

  • Business professionals looking to add value to their organization through the use of powerful machine learning tools

  • Individuals without prior programming experience, as the course includes comprehensive chapters on Python programming, Java programming, web development, and algorithms


Our Bestselling Machine Learning masterclass “Professional Certificate in Data Mining & Machine Learning” from the Academy of Computing and Artificial Intelligence, UK, will make you a Champion.

We have provided sample Machine Learning projects with source codes which you can use in your profile and projects.

The topics in this course come from an analysis of real requirements in data scientist, Machine learning engineer job listings from the biggest tech employers.

Join our class for a wonderful journey of Machine Learning and a rewarding career.


We continually update the course.

Last Update : 22/1/2024 - Updated with latest Deep Learning series & Sections

Who this course is for:

  • Any student in college who wants to start a career in Data Science, Data mining , Machine Learning
  • Any data analysts who want to level up in Machine Learning
  • Anyone who is not satisfied with their job and who wants to become a Data Scientist
  • Anyone who wants to create added value to their business by using powerful Machine Learning tools
  • For anyone who does not have prior knowledge on programming. We have comprehensive chapters on python, Java programming, web development, Algorithms etc

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