Data Science Certification Courses


AI & Machine Learning Software Suite and SaSS enabled Platform for Data Science Certification Courses to empower the students and professionals to learn and practice the industry-ready modules


Certification Courses -> Data Science



Data Science Certification Courses
Online Classes

Weekend Batch [Sat & Sun]

2 Months | 8 WEEKS | 4 hours per week (OR) 1 Month | 4 Weeks | 8 hours per week         | FILLING FAST

1 Course | 16 Modules | 32 hrs | online

Course Price | Students : Rs. 10000 | Working Professionals : Rs. 20000


Weekday Batch [Mon, Wed & Fri (OR) Tue, Thu & Sat]

2 Months | 8 Weeks | 4 hours per week (OR) 1 Month | 4 Weeks | 8 hours per week        | FILLING FAST

1 Course | 16 Modules | 32 hrs | online

Course Price | Students : Rs. 10000 | Working Professionals : Rs. 20000


Data Science Trending Courses



Career Related Programs

Data Analyst Championship Program

This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.


More Details

Machine Learning Developer Championship Program

This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.


More Details

Data Scientist Research Program

This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.


More Details

AI & DeepLearning Research Program

This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.


More Details

Data Science Courses Overview

Data Science using Python

This course has been designed and prepared for professionals aspiring to learn python programming and develop applications involving data science techniques such as data preprocessing, data modeling, classification, regression, clustering, recommendation and data visualization. You will also learn to solve data-driven problems and implement your solutions using the powerful python packages. After completing this course, you will gain a broad spectrum of the data science environment and the best practices for data science techniques.


More Details

Machine Learning using R

This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.


More Details

Statistical Analysis using R

This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.


More Details

Data Analytics using Pandas

This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.


More Details

Natural Language Processing using Python

This course has been designed and prepared for professionals aspiring to learn Python programming and develop applications involving Natural Language Processing techniques such as tokenization, stemming, parsing, lemmatization, POS Tagging and text classification and recommendation. You will also learn to solve text-driven problems and implement your solutions using the powerful nltk packages. After completing this course, you will gain a broad spectrum of the NLP environment and the best practices for NLP techniques.


More Details

Image Processing using OpenCV

This course has been designed and prepared for professionals aspiring to learn OpenCV programming and develop applications involving image processing techniques such as image preprocessing, image enhancements, image filtering and image classification. You will also learn to solve image-driven problems and implement your solutions using the powerful OpenCV packages. After completing this course, you will gain a broad spectrum of the image processing environment and the best practices for image processing techniques.


More Details

Explore Top Categories