Master Course in Data Visualization & Data Warehousing (101)

Master Course in Data Visualization & Data Warehousing (101), available at $19.99, has an average rating of 4.07, with 6 lectures, 1 quizzes, based on 186 reviews, and has 15740 subscribers.

You will learn about Participants will demonstrate proficiency in creating various types of data visualizations using industry-standard tools and technologies. Participants will apply principles of effective storytelling through data visualization to communicate insights and drive decision-making. Participants will design and implement efficient data models for data warehousing using dimensional and normalized modeling techniques. Participants will demonstrate competency in conducting ETL processes to extract, transform, and load data into data warehousing environments. Participants will analyze and interpret temporal and geospatial patterns in data through advanced visualization techniques. Participants will integrate big data with traditional data warehousing solutions to effectively manage and analyze large datasets. Participants will evaluate and implement real-time data processing techniques for timely insights and decision-making. Participants will assess and address data quality issues within data warehousing environments using governance frameworks and management techniques. Participants will apply advanced data visualization techniques to analyze machine learning results and support AI-driven insights. Participants will evaluate the benefits and challenges of cloud-based data warehousing solutions and implement best practices for migration and management. This course is ideal for individuals who are All UG and PG Business, IT, Systems and Computer Science Students ! or Interested students to learn about the concepts of Data Visualization & Data Warehousing It is particularly useful for All UG and PG Business, IT, Systems and Computer Science Students ! or Interested students to learn about the concepts of Data Visualization & Data Warehousing.

Enroll now: Master Course in Data Visualization & Data Warehousing (101)

Summary

Title: Master Course in Data Visualization & Data Warehousing (101)

Price: $19.99

Average Rating: 4.07

Number of Lectures: 6

Number of Quizzes: 1

Number of Published Lectures: 6

Number of Published Quizzes: 1

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

Participants will demonstrate proficiency in creating various types of data visualizations using industry-standard tools and technologies.
Participants will apply principles of effective storytelling through data visualization to communicate insights and drive decision-making.
Participants will design and implement efficient data models for data warehousing using dimensional and normalized modeling techniques.
Participants will demonstrate competency in conducting ETL processes to extract, transform, and load data into data warehousing environments.
Participants will analyze and interpret temporal and geospatial patterns in data through advanced visualization techniques.
Participants will integrate big data with traditional data warehousing solutions to effectively manage and analyze large datasets.
Participants will evaluate and implement real-time data processing techniques for timely insights and decision-making.
Participants will assess and address data quality issues within data warehousing environments using governance frameworks and management techniques.
Participants will apply advanced data visualization techniques to analyze machine learning results and support AI-driven insights.
Participants will evaluate the benefits and challenges of cloud-based data warehousing solutions and implement best practices for migration and management.

Who Should Attend

All UG and PG Business, IT, Systems and Computer Science Students !
Interested students to learn about the concepts of Data Visualization & Data Warehousing

Target Audiences

All UG and PG Business, IT, Systems and Computer Science Students !
Interested students to learn about the concepts of Data Visualization & Data Warehousing

Master Course in Data Visualization & Data Warehousing 2.0

This comprehensive master course delves into the advanced realms of data visualization and data warehousing, equipping participants with the skills and knowledge necessary to harness the power of data for informed decision-making and strategic insights. The course is structured into five modules, each focusing on essential aspects of data visualization and data warehousing, supplemented with practical exercises and real-world case studies.

In the first module, “Foundations of Data Visualization,” participants will explore the fundamental principles and best practices of data visualization, mastering various visualization techniques and understanding the importance of storytelling through data. They will also gain hands-on experience with popular visualization tools and technologies.

The second module, “Advanced Data Visualization Techniques,” delves deeper into interactive and geospatial visualizations, as well as techniques for visualizing time series data. Participants will learn to create engaging, interactive dashboards and effectively communicate insights derived from temporal and spatial data.

Moving on to the third module, “Data Warehousing Fundamentals,” participants will gain a comprehensive understanding of data warehousing concepts, data modeling techniques, and ETL processes. They will learn to design efficient data models and implement robust ETL processes using industry-standard tools and methodologies.

The fourth module, “Advanced Data Warehousing Techniques,” explores topics such as data quality management, big data integration, and real-time data warehousing. Participants will delve into strategies for ensuring data quality, integrating big data with traditional data warehousing solutions, and implementing real-time data processing for timely insights.

Finally, the fifth module, “Advanced Topics in Data Visualization & Data Warehousing,” covers advanced applications of data visualization in machine learning, business intelligence, and cloud-based data warehousing. Participants will learn to visualize machine learning results, leverage visual analytics for business decision-making, and explore the benefits and challenges of cloud data warehousing solutions.

By the end of this master course, participants will have acquired the skills and expertise to effectively visualize data, design and implement robust data warehousing solutions, and leverage advanced techniques to extract actionable insights from complex datasets, thereby driving informed decision-making and strategic initiatives within their organizations.

In this master course, I would like to teach the 5 major topics:

Module 1: Foundations of Data Visualization

Module 2: Advanced Data Visualization Techniques

Module 3: Data Warehousing Fundamentals

Module 4: Advanced Data Warehousing Techniques

Module 5: Advanced Topics in Data Visualization & Data Warehousing

Enroll now and learn today !

Course Curriculum

Chapter 1: Master Course in Data Visualization & Data Warehousing (101 level) – Lectures

Lecture 1: Foundations of Data Visualization

Lecture 2: Advanced Data Visualization Techniques

Lecture 3: Data Warehousing Fundamentals

Lecture 4: Advanced Data Warehousing Techniques

Lecture 5: Advanced Topics in Data Visualization & Data Warehousing

Lecture 6: Capstone Project: Applying Big Data Concepts

Chapter 2: Master Course in Data Visualization & Data Warehousing (101) – Quiz

Instructors

Dr. José Prabhu J
Researcher, Professor and Subject Matter Expert

Rating Distribution

1 stars: 8 votes
2 stars: 6 votes
3 stars: 33 votes
4 stars: 78 votes
5 stars: 61 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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