Data Science with Python
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- 68 hours of in-depth learning
- Interactive learning with Jupyter notebooks labs
- Dedicated mentoring session from our faculty of industry experts
- 4 real-life industry-based projects in the domains of telecom, stock market, etc.
- Lifetime access to self-paced learning
Get Access to Python for Data Science Training to learn Python library & tools such as NumPy, Pandas, SciPy & Matplotib. Get certified in Python for Data Science Now!
Can I cancel my enrollment? Will I get a refund?
Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.
What if I miss a class?
Simplilearn provides recordings of each class so you can review them as needed before the next session.
What are the modes of training offered for this Python for Data Science course?
Live Virtual Classroom or Online Classroom: In online classroom training, you have the convenience of attending the course remotely from your desktop via video conferencing to enhance your productivity and reduce the time spent away from work or home.
Online Self-Learning: In this mode, you will receive lecture videos and can proceed through the course at your convenience.
WinPython portable distribution is the open source environment on which all hands-on exercises will be performed. Instructions for installation will be given during the training.
Who are our instructors and how are they selected?
All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.
What are the system requirements?
To run Python, your system must fulfill the following basic requirements:
- 32 or 64-bit Operating System
- 1GB RAM
The instruction uses Anaconda and Jupyter notebooks. The e-learning videos provide detailed instruction on how to install them.