What does the Data-Driven Decision Making course cover?
Data-Driven Decision Making is covered here in 7 modules: Introduction to Data Analysis and Visualization: Best practices for data visualization, SQL Fundamentals: Subqueries and joins, SQL best practices and common pitfalls, Data Visualization with Tableau: Customizing and formatting visualizations and 4 more. The outline lists 27 specific topics, opening with what is data analysis and visualization?
How do you approach Data-Driven Decision Making step by step?
The work is sequenced in 7 stages. It starts with Introduction to Data Analysis and Visualization: Best practices for data visualization, moves through SQL Fundamentals: Subqueries and joins, SQL best practices and common pitfalls and Data Visualization with Tableau: Customizing and formatting visualizations, and ends at Final Project and Certification.
What is in Module 1 of the Data-Driven Decision Making course?
Module 1 is Introduction to Data Analysis and Visualization: Best practices for data visualization. It works through what is data analysis and visualization?, types of data: structured, unstructured, and semi-structured, data visualization tools and techniques and 1 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.
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More answers: what you get with every course, refund policy, all help answers.
Mastering Data-Driven Decision Making: SQL, Data Visualization, and Business Intelligence for Career Advancement
Course Overview
In this comprehensive course, you'll learn the skills and techniques necessary to make data-driven decisions in business, using tools such as SQL, data visualization, and business intelligence. By the end of this course, you'll be able to analyze and interpret complex data, identify trends and patterns, and communicate insights effectively to stakeholders.Course Objectives
- Understand the fundamentals of data analysis and data visualization
- Learn how to write SQL queries to extract and manipulate data
- Master data visualization techniques using popular tools such as Tableau and Power BI
- Develop business intelligence skills to drive decision making
- Apply data-driven decision making to real-world business scenarios
- Receive a certificate upon completion, issued by The Art of Service
Course Outline
Module 1. Introduction to Data Analysis and Visualization: Best practices for data visualization
- What is data analysis and visualization?
- Types of data: structured, unstructured, and semi-structured
- Data visualization tools and techniques
- Best practices for data visualization
Module 2. SQL Fundamentals: Subqueries and joins, SQL best practices and common pitfalls
- Introduction to SQL: basic syntax and data types
- SQL queries: SELECT, FROM, WHERE, GROUP BY, and HAVING
- Subqueries and joins
- SQL best practices and common pitfalls
Module 3. Data Visualization with Tableau: Customizing and formatting visualizations
- Introduction to Tableau: connecting to data sources and creating visualizations
- Visualization types: bar charts, scatter plots, and more
- Customizing and formatting visualizations
- Storytelling with data: creating interactive dashboards
Module 4. Data Visualization with Power BI: Customizing and formatting visualizations
- Introduction to Power BI: connecting to data sources and creating visualizations
- Visualization types: bar charts, scatter plots, and more
- Customizing and formatting visualizations
- Storytelling with data: creating interactive dashboards
Module 5: Business Intelligence and Data-Driven Decision Making
- Introduction to business intelligence: concepts and applications
- Data-driven decision making: using data to inform business decisions
- Common business intelligence tools and techniques
- Case studies: applying data-driven decision making to real-world business scenarios
Module 6. Advanced Data Analysis and Visualization Techniques: Big data and NoSQL databases
- Advanced SQL techniques: window functions and common table expressions
- Data modeling and data warehousing
- Big data and NoSQL databases
- Machine learning and predictive analytics
Module 7: Final Project and Certification
- Final project: applying data-driven decision making to a real-world business scenario
- Receiving your certificate: issued by The Art of Service
- Career advancement: using your new skills to drive business success
Course Features
- Interactive and engaging: Learn through hands-on projects, quizzes, and gamification
- Comprehensive and up-to-date: Master the latest tools and techniques in data analysis and visualization
- Personalized learning: Get tailored feedback and support from expert instructors
- Practical and real-world applications: Apply your new skills to real-world business scenarios
- High-quality content: Learn from expert instructors with years of industry experience
- Certification: Receive a certificate upon completion, issued by The Art of Service
- Flexible learning: Learn at your own pace, anytime, anywhere
- User-friendly: Access course materials through a user-friendly online platform
- Mobile-accessible: Learn on-the-go with our mobile-friendly platform
- Community-driven: Connect with a community of like-minded professionals
- Actionable insights: Apply your new skills to drive business success
- Hands-on projects: Practice your new skills through hands-on projects
- Bite-sized lessons: Learn in bite-sized chunks, at your own pace
- Lifetime access: Access course materials for life, even after completion
- Gamification: Learn through interactive games and challenges
- Progress tracking: Track your progress and stay motivated