*APP* In this course, you'll gain real-world knowledge, experience and insights through lectures from experienced pros who'll show you the ropes.
More excitingly, you'll learn through hands-on projects using the most powerful equipment and the very latest software like data transformation tools, No SQL and Hadoop, Data Visualization and Data Storytelling tools. *WHO* • Anyone who wants to learn the fundamentals of Big Data.
*VID* *KEYB* Reader, let me introduce you to Big Data. You'll spend some time with the concept of virtualization and you'll have an overview of programming techniques and languages used for big data analytics.
Once you've finished this course, you can take a moment to congratulate yourself before you dive into even bigger data on the path to completing your certificate.
This is the third and final course, where all your hard work pays off and you earn your Certificate of Business Analytics and Visualization. *CNT* This course is a great way to help you: • Learn how to transform data into insights; • Translate business needs into data analysis and visualize it with best-in-class graphics; • Assemble graphics, maps and numbers into stunning stories; • Learn how to manage a Big Data project.
More excitingly, you'll learn through hands-on projects using the most powerful equipment and the very latest software like data transformation tools, No SQL and Hadoop, Data Visualization and Data Storytelling tools. *WHO* • Students who completed CEBD 1250 and want to continue their studies.
It will start with an overview of the most and least successful big data projects in all industries, helping you understand the dos and don’ts that make a data science project successful.
You'll also have the chance to imagine and design your own project.
In the second part of the course, you'll learn how to identify, collect, and transform data from internal and external sources.
This is the first of three courses that will lead to your certificate in Big Data Business Analytics and Visualization. *CNT* This course is a great way to help you: • Understand the business issues solved by Big Data; • Build a data pipeline to help you feed your Big Data project; • Understand the Dos and Don'ts that make a data science project successful; • Imagine and design your own data science project; • Work on structured and unstructured data from social networks using an ETL tool.
• Employees in the business-intelligence field who want to upgrade their skills or broaden their horizons.
• Employees or students who want to become Data Scientists. Big Data systems involve a wide range of technologies that can only be understood when you master the underlying technical concepts. Here, you'll learn about the basic technologies required to develop Big Data analytics solutions and deploy them at scale.
• Employees or students who want to become Data Scientists.