Learn about introduction to Data Science, Working with Data in R, Python, Learn about Pandas and Sci-Kit, AI and ML and Tableau accompanied with various recent case studies to attain the challenges set by the Software industries with Personalized Industry Mentorship, Career Guidance, and Placement Assistance and much more.
Advance Data Science
About the Program
Personalised Mentorship
Get mentored by an experienced EV Industry expert and receive personalised feedback calls for better career guidance.
Placement Assistance
Get Placement Assistance with our 100+ hiring partners. A dedicated career mentor will help you in your career transition journey.
Student Support
Student support available 09 AM to 07 PM IST via email or call and get a response within 2 working hours.
Professional Master Certification in Data Science,
Certified by ASDC
Complete all the courses successfully to obtain the certification from ASDC, with Industry Partner MG Motors
• Earn a Master in Software Technology degree
• Widely recognized and valued programmed in Data Science
Case Studies
Text Emotions Detection
The idea is to train a machine learning model to generate emojis based on input text.
Customer Personality Analysis
The analysis of customers is one of the most important roles that a data scientist has to do who is working at a product based company
Brochure
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects
Our Expert Work At
Top companies from all around the world
Where our Alumni Work
Payment Offers
Now, pay your course fees in installments at no cost EMI available at Credit cards following banks
Data Science Introduction and Statistics Essentials
1
Basic of Programming
2
Descriptive Statistics
3
Estimators and Inferential Statistics
4
Regression Analysis
Data Science with R
1
R Programming fundamentals
2
Working with Data in R
3
Data Structuring and Visualization
4
Statistics for Data Science
5
Classification, Clustering and Association
Python in Data Science
1
Python Basics and Fundamentals
2
Data and NumPys in Python
3
Data Science and Analytics
4
Computing in Python
5
Pandas and Sci-Kit Learn
6
BeautifulSoup and Hadoop
Machine Learning
1
Intro to AI and ML
2
Data Wrangling and Manipulation
3
Supervised Learning
4
Unsupervised Learning
Tableau
1
Intro to Tableau
2
Working with Metadata
3
Applying Analytics to Worksheet
4
Dashboard and Modifications in Tableau
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