851 Student Reviews
I am an assistant prof of the Data Science department and doing a Ph.D. (waiting for viva) in the machine learning/deep learning area. I am able to develop many ML/DL algorithms in R and Python also by using real-time datasets.
I am an assistant prof of the Data Science department and doing a Ph.D. (waiting for viva) in the machine learning/deep learning area. I am able to develop many ML/DL algorithms in R and Python also by using real-time datasets.
Experience Background Founder & Director of Dexterity Venture Institute (DVI), Bengaluru — an institute delivering industry-focused AI and technology certification programs for college students, university learners, and working professionals alike. We provide extensive, hands-on training in Artificial Intelligence and Machine Learning for students of colleges and universities — taking learners from core fundamentals to applied, project-based expertise that bridges academic knowledge and industry practice. Our flagship credential, the Certified Forward-Deployed AI Specialist (CFDAS), is built around the emerging Forward-Deployed Engineer discipline — where AI meets real-world client delivery. Learners build practical skills across AI System Design, Agentic Workflows, Deployment Engineering, and Governance, applied through hands-on tracks in Consulting, Healthcare, IT, and DevOps. Whether you're a student building a foundation, a graduate preparing for the job market, or a professional upskilling for the AI era, our scenario-driven programs take you from fundamentals to production-ready, industry-relevant expertise. Top 5 Demonstrable Skills (covering both students and working professionals) Artificial Intelligence & Machine Learning — foundational to applied ML, model building, and real-world AI problem-solving. AI System Design & Architecture — designing scalable, production-ready AI systems from concept to deployment. Agentic Workflows & AI Toolchains — building and orchestrating modern AI agents, tools, and automation pipelines. AI Deployment & Production Engineering — taking models from notebook to live, client-ready deployment. AI Governance, Security & Compliance — responsible, secure, and compliant AI practices for enterprise and academic contexts.
Experience Background Founder & Director of Dexterity Venture Institute (DVI), Bengaluru — an institute delivering industry-focused AI and technology certification programs for college students, university learners, and working professionals alike. We provide extensive, hands-on training in Artificial Intelligence and Machine Learning for students of colleges and universities — taking learners from core fundamentals to applied, project-based expertise that bridges academic knowledge and industry practice. Our flagship credential, the Certified Forward-Deployed AI Specialist (CFDAS), is built around the emerging Forward-Deployed Engineer discipline — where AI meets real-world client delivery. Learners build practical skills across AI System Design, Agentic Workflows, Deployment Engineering, and Governance, applied through hands-on tracks in Consulting, Healthcare, IT, and DevOps. Whether you're a student building a foundation, a graduate preparing for the job market, or a professional upskilling for the AI era, our scenario-driven programs take you from fundamentals to production-ready, industry-relevant expertise. Top 5 Demonstrable Skills (covering both students and working professionals) Artificial Intelligence & Machine Learning — foundational to applied ML, model building, and real-world AI problem-solving. AI System Design & Architecture — designing scalable, production-ready AI systems from concept to deployment. Agentic Workflows & AI Toolchains — building and orchestrating modern AI agents, tools, and automation pipelines. AI Deployment & Production Engineering — taking models from notebook to live, client-ready deployment. AI Governance, Security & Compliance — responsible, secure, and compliant AI practices for enterprise and academic contexts.
I have been training students during my free time and understand the ropes of training Python for Data Science and Machine Learning.
I have been training students during my free time and understand the ropes of training Python for Data Science and Machine Learning.
The Data Science course will include the following topics Introduction to Data Science What is Data Science? The Data Science Process Importance of Data Science Data Collection and Cleaning Data Sources Data Collection Methods Data Cleaning and Preprocessing Exploratory Data Analysis (EDA) Descriptive Statistics Data Visualization Outlier Detection Data Preprocessing Handling Missing Data Feature Engineering Data Transformation Machine Learning Basics Introduction to Machine Learning Supervised vs. Unsupervised Learning Model Training and Evaluation Supervised Learning Algorithms Linear Regression Logistic Regression Decision Trees and Random Forests Support Vector Machines Naive Bayes Unsupervised Learning Algorithms Model Evaluation and Hyperparameter Tuning Model Metrics (Accuracy, F1 Score, etc.) Jupyter Notebooks (Python) / Studio (R) Real-world Projects and Case Studies Applying Data Science to Real Problems Data Science Career Paths Online Courses and Books Data Science Communities and Forums Conclusion and Next Steps
The Data Science course will include the following topics Introduction to Data Science What is Data Science? The Data Science Process Importance of Data Science Data Collection and Cleaning Data Sources Data Collection Methods Data Cleaning and Preprocessing Exploratory Data Analysis (EDA) Descriptive Statistics Data Visualization Outlier Detection Data Preprocessing Handling Missing Data Feature Engineering Data Transformation Machine Learning Basics Introduction to Machine Learning Supervised vs. Unsupervised Learning Model Training and Evaluation Supervised Learning Algorithms Linear Regression Logistic Regression Decision Trees and Random Forests Support Vector Machines Naive Bayes Unsupervised Learning Algorithms Model Evaluation and Hyperparameter Tuning Model Metrics (Accuracy, F1 Score, etc.) Jupyter Notebooks (Python) / Studio (R) Real-world Projects and Case Studies Applying Data Science to Real Problems Data Science Career Paths Online Courses and Books Data Science Communities and Forums Conclusion and Next Steps
I'm a Data Analyst working in Banking sector and interested to teach stuffs related to Data Science and help people to grow and achieve desire outcome and also help them to solve the confusions choosing there carrier in advance analytics
I'm a Data Analyst working in Banking sector and interested to teach stuffs related to Data Science and help people to grow and achieve desire outcome and also help them to solve the confusions choosing there carrier in advance analytics
I'm a post graduate and a gold medallist in Digital Signal Processing. I have been specifically working on digital image processing and machine learning projects from past 5 years. I work with MATLAB and open source tools such as opencv, ITK etc. I have also implemented the algorithms in Android platform in the form of apps. I have not taught officially in any college so far but students often take my help in their mtech and btech projects. With my good industrial exposure I would like to help students in choosing and grooming their skill sets required to grow their careers in today's cut throat competitive world. I also help students in incubating their ideas so that they can have a successful startup company.
I'm a post graduate and a gold medallist in Digital Signal Processing. I have been specifically working on digital image processing and machine learning projects from past 5 years. I work with MATLAB and open source tools such as opencv, ITK etc. I have also implemented the algorithms in Android platform in the form of apps. I have not taught officially in any college so far but students often take my help in their mtech and btech projects. With my good industrial exposure I would like to help students in choosing and grooming their skill sets required to grow their careers in today's cut throat competitive world. I also help students in incubating their ideas so that they can have a successful startup company.
Data science Enthusiast ,happy to teach the passionate students as well as learn from them - 4 years of work experience as a data analyst & associate Data scientist - Strong knowledge in statistical methods to analyze data and generate useful business reports - Experience in creating models that depict trends in the customer base and the consumer population as a whole - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - Significant domain knowledge on E commerce, Engineering services, CPG and Retail - Ability to analyze large data-sets and write comprehensive reports - An analytical mind and inclination for problem-solving using statistical techniques
Data science Enthusiast ,happy to teach the passionate students as well as learn from them - 4 years of work experience as a data analyst & associate Data scientist - Strong knowledge in statistical methods to analyze data and generate useful business reports - Experience in creating models that depict trends in the customer base and the consumer population as a whole - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - Significant domain knowledge on E commerce, Engineering services, CPG and Retail - Ability to analyze large data-sets and write comprehensive reports - An analytical mind and inclination for problem-solving using statistical techniques
I would treat you more like a friend whom I am helping out than a student If you are planning on achieving a project above your league Please let me know prior itself My teaching style is slow in the beginning as the basics have to be set right
I would treat you more like a friend whom I am helping out than a student If you are planning on achieving a project above your league Please let me know prior itself My teaching style is slow in the beginning as the basics have to be set right
Trainer for data scientist course of R and SAS studio for Ex - Simplilearn having taught inferential statistics and predictive modeling techniques for more than 700 working professionals with nationalities across the globe and corporate trainer for General Mills
Trainer for data scientist course of R and SAS studio for Ex - Simplilearn having taught inferential statistics and predictive modeling techniques for more than 700 working professionals with nationalities across the globe and corporate trainer for General Mills
Sathya provides computer courses.
Sathya provides computer courses.
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It definitely helps to join Data Science Classes near me in Ranadheera Kanteerava Park, Bangalore, as you get the desired motivation from a Teacher to learn. If you need personal attention and if your budget allows, select 1-1 Class. If you need peer interaction or have budget constraints, select a Group Class.
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If you are from a technical background, do Python. Otherwise, do the R Course.
Using only 2 steps.. 1.Learn about Machine learning using pyghon/ R and do some homework (Project). 2....
https://vz-3ad30922-ba4.b-cdn.net/9fd9a8e7-2c57-46e4-b87a-30f9cc8d67be/play_480p.mp4
Few tips to Master Data Science 1)Do not start your learning with some software like R/Python/SAS etc 2)Start with very basics like 10th class Matrices/Coordinate...
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# To know the working directory which is assigned by defaultgetwd()# set the working directory from where you would like to take the files setwd("C:/Mywork/MyLearning/MyStuddocs_UrbanPro/Data")...
Here is a Q & A session with our Director Amit Kataria, who gave some valuable suggestion regarding big data. What is big data? Big Data is...