Training is not a commodity – all training centres are not the same. Iverson Associates Sdn Bhd is the most established, the most reputable, and the top professional IT training provider in Malaysia. With a large pool of experienced and certified trainers, state-of-the-art facilities, and well-designed courseware, Iverson offers superior training, a more impactful learning experience and highly effective results.
At Iverson, our focus is on providing high-quality IT training to corporate customers, meeting their learning needs and helping them to achieve their training objectives. Iverson has the flexibility to provide training solutions whether for a single individual or the largest corporation in a well-paced or accelerated training programme.
Our courses continue to evolve along with the fast-changing technological advances. Our instructor-led training services are available on a public and a private (in-company) basis. Some of our courses are also available as online, on demand, and hybrid training.
This course aims to be a comprehensive course in using the power of Python to read data from various sources, prepare the data for analysis, create exploratory visualizations and an introduction to machine learning algorithms. At the end of the course participants will be sufficiently equipped to start their journey towards becoming a full fledge Data Scientist.
This short course intended audiences are IT professionals, Data Analyst, Data Scientists and professionals who want to learn about Python programming. The programme is suitable for personnel with some experience in programming, data management and business reporting. The effective number of participants for this course is between 10 – 12.
Basic knowledge of programming is preferable.
After completing this module, participants will learn the following
1. Identify types of data that can be extracted
2. Cleaning and preparing data
3. Common approach in analyzing data
4. Visualization using Python
5. Python machine learning
4-8 Mar 2019 (Penang)
18-22 Mar 2019
8-12 July 2019
23-27 Sept 2019
18-22 Nov 2019
25-29 Nov 2019 (Penang)