43%
14%
43%
Highlights
These courses focus on Excel, R and Python and aim to teach a clear understanding of factor analysis and its link to linear regression
Customer Reviews
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What You'll Get
- Machine learning and data analytics course modules:
- Factor analysis
- Linear and logistic regression
- Machine learning and applications course modules:
- Deep learning & computer vision: an introduction
- Recommendation systems in python
- Machine learning: decision trees and random forests
- Twitter sentiment analysis in python
- Python programming: from beginner to intermediate
- Quant trading using machine learning
- Factor analysis
- Linear and logistic regression
- Machine learning course modules:
- Deep learning & computer vision: an introduction
- Recommendation systems in python
- Machine learning: decision trees & random forests
- Twitter sentiment analysis in python
- More information on the course
The Fine Print
Validity:
Must redeem by 4 Aug 2020. Course content available for 12 months from registration date.
Purchase: Limit 2 per person. May buy 2 additional as gifts.
Restrictions: Register online: https://www.e-careers.courses/redeem-voucher. No refunds or cancellation once log in details have been provided. Please allow up to 3 business days for the course activation confirmation to be sent via email. Internet connection required. Merchant's certificate of completion included for successful participants.
Purchase: Limit 2 per person. May buy 2 additional as gifts.
Restrictions: Register online: https://www.e-careers.courses/redeem-voucher. No refunds or cancellation once log in details have been provided. Please allow up to 3 business days for the course activation confirmation to be sent via email. Internet connection required. Merchant's certificate of completion included for successful participants.
About e-Careers Lifestyle
e-Careers Lifestyle provides a vast array of educational and training programmes to a wide variety of clients in all sectors and across the world. Courses are delivered via an e-learning platform, and a team of career developers are available to advise students on career paths and study programmes.