In this course, you'll use sophisticated data-visualization tools to understand data and share information with others. You'll also learn how to manage a Big Data science project from beginning to end, and that's exactly what they'll want you to be doing in your next job.
DurationAwesome. You learned how to collect and store big data. Now comes the fun part: mining that data for gold and then spinning that gold into compelling business stories that captivate and convince.
In this course, you'll use sophisticated data visualization tools to understand data and share information with others. You'll also learn how to manage a big data science project from beginning to end, and that's exactly what they'll want you to be doing in your next job.
Your Takeaways
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.
As a next-generation university, we reimagine the future of higher education. Concordia’s innovative approach to experiential learning and cross-functional research benefits our 50,000 students.
Concordia is the top-ranked university in Canada under 50, located in vibrant Montreal on the traditional lands of the Kanien’kehá:ka Nation. We strive to be socially responsible and create a more equitable and sustainable world.
Big Data for Data Scientists is a 6-week project-based course that teaches data scientists the necessary tools to work on large-scale data science problems. The entire course is built around an end-to-end real-time machine learning problem.
Microsoft Power BI is the best data visualization and publishing tool (business intelligence - BI). To this tool we add the most effective and popular language: Python, in its Anaconda ecosystem.
Learn to analyze data with our data analytics course for beginners. Through hands-on training, you'll gain a foundational understanding of in-demand data tools and the confidence to apply them in your everyday work.
Currently, data analytics is one of the most promising and in-demand professions, with applications in a multitude of industries. Businesses are recognizing the many advantages of collecting and analyzing data (such as business forecasting, optimized customer experience, and mitigating risk).
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
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