What does the Unlock Data-Driven Decisions course cover?
Unlock Data-Driven Decisions is covered here in 6 modules: Introduction to Machine Learning, Data Preparation, Supervised Learning: Linear Regression : Simple and multiple linear regression and 3 more. The outline lists 18 specific topics, opening with defining Machine Learning : Understanding the basics of machine learning and its applications in business and closing with recommendation Systems : Building a recommendation engine using.
How do you approach Unlock Data-Driven Decisions step by step?
The work is sequenced in 6 stages. It starts with Introduction to Machine Learning, moves through Data Preparation and Supervised Learning: Linear Regression : Simple and multiple linear regression, and ends at Real-World Applications. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Unlock Data-Driven Decisions course?
Module 1 is Introduction to Machine Learning. It works through defining Machine Learning : Understanding the basics of machine learning and its applications in business, Types of Machine Learning : Supervised, unsupervised, and reinforcement learning and Machine Learning Workflow : Data preparation, model training, and deployment. It sets the vocabulary the remaining 5 modules build on.
How is the Unlock Data-Driven Decisions course delivered?
The Unlock Data-Driven Decisions course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Unlock Data-Driven Decisions course cost?
The Unlock Data-Driven Decisions course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: User Experience in Machine Learning for Business, User Segmentation in Machine Learning Trap, Why You, User Profiling in Machine Learning Trap, Why You Should.
More answers: what you get with every course, refund policy, all help answers.
Unlock Data-Driven Decisions: Machine Learning for Business Users
Course Overview
In this comprehensive course, you'll learn how to harness the power of machine learning to drive business success. Through interactive lessons, hands-on projects, and real-world applications, you'll gain the skills and knowledge needed to make data-driven decisions and stay ahead of the competition.
Course Curriculum
Module 1: Introduction to Machine Learning
- Defining Machine Learning: Understanding the basics of machine learning and its applications in business
- Types of Machine Learning: Supervised, unsupervised, and reinforcement learning
- Machine Learning Workflow: Data preparation, model training, and deployment
Module 2: Data Preparation
- Data Cleaning and Preprocessing: Handling missing values, outliers, and data normalization
- Feature Engineering: Selecting and transforming relevant features for model training
- Data Visualization: Exploring and understanding data distributions
Module 3. Supervised Learning: Linear Regression : Simple and multiple linear regression
- Linear Regression: Simple and multiple linear regression
- Logistic Regression: Binary classification and logistic regression
- Decision Trees and Random Forests: Tree-based models for classification and regression
Module 4. Unsupervised Learning: K-Means Clustering : Grouping similar data points
- K-Means Clustering: Grouping similar data points
- Principal Component Analysis (PCA): Dimensionality reduction and feature extraction
- t-Distributed Stochastic Neighbor Embedding (t-SNE): Non-linear dimensionality reduction
Module 5: Model Evaluation and Selection
- Metrics for Evaluation: Accuracy, precision, recall, F1 score, and ROC-AUC
- Cross-Validation: Evaluating model performance on unseen data
- Hyperparameter Tuning: Grid search, random search, and Bayesian optimization
Module 6: Real-World Applications
- Customer Segmentation: Clustering customers based on demographics and behavior
- Predicting Customer Churn: Building a classification model to predict customer churn
- Recommendation Systems: Building a recommendation engine using collaborative filtering
Course Features
- Interactive and Engaging: Quizzes, gamification, and hands-on projects to keep you engaged
- Comprehensive and Personalized: Bite-sized lessons and tailored learning paths to suit your needs
- Up-to-date and Practical: Real-world applications and case studies to illustrate key concepts
- High-quality Content: Expert instructors and high-quality video lessons
- Certification: Receive a certificate upon completion of the course
- Flexible Learning: Learn at your own pace, anytime, anywhere
- User-friendly and Mobile-accessible: Access the course on any device, including mobile and tablet
- Community-driven: Join a community of learners and instructors to ask questions and share knowledge
- Actionable Insights: Apply machine learning concepts to real-world problems and projects
- Hands-on Projects: Work on practical projects to reinforce your learning
- Lifetime Access: Access the course materials for life, including any future updates
- Progress Tracking: Track your progress and stay motivated
What You'll Get
- A comprehensive understanding of machine learning concepts and techniques
- Hands-on experience with machine learning tools and technologies
- A Certificate of Completion to demonstrate your skills to employers
- Lifetime access to the course materials, including any future updates
- Access to a community of learners and instructors for support and guidance