Data Science Researcher Technologies
Data Science Research Perspective
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Introduction to Data Science Research Methodology
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Mathematical Foundation for Data Science
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Linear Algebra for Data Science
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Statistical Analysis for Data Science
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Linear Optimization for Data Science
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Non Linear Optimization for Data Science
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Foundation of Data Structures for Data Science
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Foundation of Algorithms for Data Science
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Activation Functions for Data Science
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Neural Networks for Data Science
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Foundation for Data Visualization
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Capstone Project - Industrial Usecases from Data Science Research Methodology
Course 2 : Data Science using Python Curriculum
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Introduction to Data Science with Python
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Data Science Environment setup
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Basics of Python
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Data structures in Python
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Preprocessing Data using Pandas
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Group Manipulation & Data Reshaping
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Sklearn libraries for Data Science
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Linear and NonLinear Regression Models
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Model Diagnostics
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Classification & Clustering
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Matplotlib for Data Visualization
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Capstone Project - Industrial Usecases from Data Science
Course 3 : Machine Learning using R Curriculum
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Introduction to Machine Learning using R
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R Environment, R Packages
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Basics of R
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Data structures in R
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Reading Data into R, R Functions, Data Summarization, Data Preprocessing
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Group Manipulation & Data Reshaping
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R libraries for Preprocessing
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Linear and NonLinear Regression Models for R
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Model Diagnostics for R
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Classification & Clustering for R
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R Libraries for Data Visualization
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Capstone Project - Industrial Usecases for Machine Learning
Course 4 : Statistical Analysis using R
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R Studio setup for Statistical Data Analysis
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Probability & Data
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Mean, Median, Mode, Skew, Kurtosis
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Inferential Statistics
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Linear Regression and Modeling
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Hypothesis Testing, Confidence Interval
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Test of Significance, ANOVA
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Inference for Means and Proportions
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Chi-square Test, t-test, F Test
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Bayesian Statistics, Descriptive Statistics
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Data Visualization, Histogram, Scatterplot
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Capstone Project - Industrial Usecases for Statiticsl Data Analysis
Course 5 : Natural Language Processing using Python Curriculum
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Introduction to NLP using python
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NLP using python Environment setup, Anaconda, Jupyter
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Python Packages, Basics of NLP
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Word and Sentence Tokenization
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Stop word, stemming
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lemmatization, POS Tagging
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Chunking, Chinking
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Named Entity Recognition
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Preprocessing Corpus
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Text Classification, Clustering
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Text Summarization
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Capstone Project - Industrial Usecases for NLP using python
Course 6 : Image Processing using OpenCV Curriculum
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Introduction to Image Processing using OpenCV
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Image Processing Environment
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OpenCV, skimage, PIL Packages
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Basics of Python, Data structures in Python
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Reading/writing Image using skimage
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OpenCV Functions, Control statements, Loops
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Group Manipulation, Preprocessing Image using skimage libraries
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Image Filters
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Image and Video Analysis
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Image Segmentation, Model Diagnostics
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Image Classification, Image Clustering using sklearn
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Capstone Project - Industrial Usecases for Image Processing using OpenCV
Data Science Research Project
- The environment setup for our Data Science Certification Training using Python will have all the necessary software that will be required to execute your practicals.
- You will do your Assignments/Case Studies using Jupyter Notebook
- This course comprises of 20 case studies that will enrich your learning experience.
- You also have 2 mini projects and 1 major project that will enhance your implementation skills.
- The progress of your programming assignments, case studies, mini projects and major project will be montiored in our cloud environment.
Data Science Research Training Features
On line Live Sessions
36 Hours of Online Live Classes
Weekend Class : 12 sessions of 3 hours each
Weekday Class : 18 sessions of 2 hours each
Real-life Case Studies
Live project based on any of the selected use cases, involving implementation of Restful APIs using Express and NodeJS
Assignments
Every class will be followed by practical assignments which aggregates to minimum 40 hours.
Lifetime Access
Lifetime access to Learning Management System (LMS) which has class presentations, quizzes, installation guide & class recordings.
24 x 7 Expert Support
Lifetime access to our 24x7 online support team who will resolve all your technical queries, through ticket based tracking system.
Certification
Towards the end of the course, you will be working on a project. Glosys Learning certifies you as a Restful APIs with Express and NodeJS Developer
Testimonial Reviews
Sai Venkatesh
Software Engineer, Samsung, ChennaiAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Kiran
Software Engineer, Codaglobal, ChennaiAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Vijay Vignesh
Dell, ChennaiAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Akhil Krishnan
Software Engineer, TCS, HyderabadAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Data Science Research Program
Online Classes
Weekend Batch
9 Months | SAT & SUN (34 WEEKS) | 8 hours per week | FILLING FAST
6 Courses | 180 Modules | 272 hrs | online
Course Price : Rs. 60000 ENROLL NOW
Weekday Batch
7 Months | 10 hours per week | FILLING FAST
Option 1: MON, WED & FRI (27 Weeks) OR Option 2 : TUE, THU & SAT (27 Weeks)
6 Courses | 180 Modules | 270 hrs | online
Course Price : Rs. 60000 ENROLL NOW