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On this accelerated IBM Data Visualisation and Machine Learning with Python course, you’ll learn how to collect and translate data to support your business' scalability. You’ll learn an array of skills, including various techniques to present develop data and use data visualisation libraries in Python, Matplotlib, Seaborn, and Folium.
In just 2 days, you’ll learn about area plots, histograms, bar chats and pie charts and how to create them with Matplotlib. You’ll also build knowledge on:
At the end of this accelerated course, you'll sit the IBM Data Visualisation and Machine Learning with Python exam and achieve your certification. Through Firebrand's Lecture | Lab | Review methodology, you'll get access to courseware, certified instructors, and train in a distraction-free environment, covered by a Certification Guarantee.
At the end of your accelerated course, you'll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:
Your accelerated course includes:
There are no formal prerequisites for this accelerated course.
Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.
Here's the Firebrand Training review section. Since 2001 we've trained exactly 134561 students and asked them all to review our Accelerated Learning. Currently, 96.41% have said Firebrand exceeded their expectations.
Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.
"I had a great time. The instructor is very knowledgeable and his training is on point. Two exams in 2 days is a lot. But he makes it doable."
Juan van Gom, Ministry of Defense Netherlands. (19/1/2024 (Friday) to 21/1/2024 (Sunday))
"It was a tough but interesting 5 days. Learnt new skills and have a better understanding of the tools that can be used by a Business Analyst. Met new people from different companies with different expertise."
Neil Wyborn. (8/1/2024 (Monday) to 12/1/2024 (Friday))
"Great residential place of study. Great tuition with a great Trainer. Great facilities to learn. Looking forward to the next residential!! Looking forward to applying knowledge gained!"
SL, Macmillan Support Cancer. (8/1/2024 (Monday) to 12/1/2024 (Friday))
"Very organised and clear. Enjoyed the teaching. Excellent standard."
MH, Orange cyber defense. (30/10/2023 (Monday) to 1/11/2023 (Wednesday))
"Detailed and thorough training in a great environment."
Anonymous, SYP. (8/1/2024 (Monday) to 12/1/2024 (Friday))
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