machine learning, and natural language processing using Python. The course is packed with real-life projects, assignment, demos, and case studies to give a hands-on and practical experience to the participants.
Mastering Python and using its packages: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization.
Mastering advanced analytics techniques: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it's modeling, and implementation using SAS.
As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis.
Price (*ask for discount) 400 USD
Access period 180 days
There are no prerequisites for this course. The Python basics course included with this course provides an additional coding guidance.
- Analytics professionals who want to work with Python
- Software professionals looking for a career switch in the field of analytics
- IT professionals interested in pursuing a career in analytics
- Graduates looking to build a career in Analytics and Data Science
- Experienced professionals who would like to harness data science in their fields
- Anyone with a genuine interest in the field of Data Science
What is included
- 24 hours of self-paced learning videos.
- 4 real-life industry-based projects in the domains of telecom, stock market, etc.
- Interactive learning with Jupyter notebooks labs
- Includes concepts of web scraping.
- Includes a free Python basics course.
- How To Earn?
Complete any one project out of the two provided in the course. Submit the deliverables of the project in the LMS which will be evaluated by our lead trainer. Score a minimum of 60% in any one of the two simulation tests. Complete 85% of the course. You need to attend one complete batch.
- How To Maintain?
Certification Exam Format
- You should pay the online course fee then the online course access will be granted to you within 1 week after receiving payment.
- Course fee payment is not refundable.
Frequently Asked Questions