What does the Data-Driven Decision Making course cover?
Data-Driven Decision Making is covered here in 7 modules: Introduction to Data-Driven Decision Making: Introduction to analytics and AI, Data Analysis and Visualization: Data types and sources, Data cleaning and preprocessing, Machine Learning and AI Fundamentals: Model evaluation and selection and 4 more. The outline lists 37 specific topics, opening with defining data-driven decision making and closing with final assessment and certification.
How do you approach Data-Driven Decision Making step by step?
The work is sequenced in 7 stages. It starts with Introduction to Data-Driven Decision Making: Introduction to analytics and AI, moves through Data Analysis and Visualization: Data types and sources, Data cleaning and preprocessing and Machine Learning and AI Fundamentals: Model evaluation and selection, and ends at Capstone Project and Final Assessment.
What is in Module 1 of the Data-Driven Decision Making course?
Module 1 is Introduction to Data-Driven Decision Making: Introduction to analytics and AI. It works through defining data-driven decision making, benefits of data-driven decision making, challenges and limitations of data-driven decision making and 2 more. It sets the vocabulary the remaining 6 modules build on.
How is the Data-Driven Decision Making course delivered?
The Data-Driven Decision Making 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 Data-Driven Decision Making course cost?
The Data-Driven Decision Making 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: Einstein Analytics, HR Analytics, Adobe Analytics Mastery, HR Analytics Mastery.
More answers: what you get with every course, refund policy, all help answers.
Data-Driven Decision Making: Unlocking Business Growth with Analytics and AI
Course Overview
In today's fast-paced business environment, making informed decisions is crucial for driving growth and staying ahead of the competition. This comprehensive course is designed to equip you with the skills and knowledge needed to unlock the power of data-driven decision making, leveraging analytics and AI to drive business success.Course Highlights
- Interactive and engaging learning experience
- Comprehensive curriculum covering 80+ topics
- Personalized learning with expert instructors
- Up-to-date and practical knowledge with real-world applications
- High-quality content and hands-on projects
- Certificate issued by The Art of Service upon completion
- Flexible learning with lifetime access and mobile accessibility
- Community-driven with gamification and progress tracking
- Actionable insights and bite-sized lessons
Course Outline
Module 1. Introduction to Data-Driven Decision Making: Introduction to analytics and AI
- Defining data-driven decision making
- Benefits of data-driven decision making
- Challenges and limitations of data-driven decision making
- Introduction to analytics and AI
- Setting up a data-driven decision-making framework
Module 2. Data Analysis and Visualization: Data types and sources, Data cleaning and preprocessing
- Data types and sources
- Data cleaning and preprocessing
- Data visualization tools and techniques
- Descriptive statistics and data summarization
- Correlation and regression analysis
- Data storytelling and presentation
Module 3. Machine Learning and AI Fundamentals: Model evaluation and selection
- Introduction to machine learning and AI
- Supervised and unsupervised learning
- Regression, classification, and clustering
- Model evaluation and selection
- Overfitting and regularization
- Neural networks and deep learning
Module 4. Predictive Analytics and Modeling: Model deployment and maintenance
- Predictive analytics and modeling techniques
- Linear regression and logistic regression
- Decision trees and random forests
- Support vector machines and clustering
- Model deployment and maintenance
- Interpreting and communicating model results
Module 5. Business Applications of Analytics and AI: Sales forecasting and optimization
- Marketing and customer segmentation
- Sales forecasting and optimization
- Supply chain and inventory management
- Risk management and credit scoring
- Human resources and talent management
- Operations and process optimization
Module 6. Data-Driven Decision Making in Practice: Common pitfalls and challenges
- Case studies and success stories
- Best practices and lessons learned
- Common pitfalls and challenges
- Change management and stakeholder engagement
- Building a data-driven culture
- Future trends and emerging technologies
Module 7: Capstone Project and Final Assessment
- Capstone project: applying data-driven decision making in a real-world scenario
- Final assessment and certification