Advance Data Science

About the Program

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.

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

Certificate-05

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

ISIEINDIA Instructors

Learn from leading Industry oriented trainer, faculty and leaders

Our Expert Work At

Top companies from all around the world

ISIEINDIA Alumni

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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Enrolled: 32 students
Duration: 6 Month
Lectures: 23
Video: 140+ Hours
Level: Advanced
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