Data Science Classes near me in Hyderabad

Courses Offered: Data Science Foundations Statistical Analysis with R and Python Machine Learning Mastery Deep Dive into Deep Learning - Artificial Intelligence Generative AI Teaching Methodology: Modular Learning: Each course was structured into modules, starting from basic concepts like data exploration and visualization, progressing to advanced topics like neural networks and ensemble methods. Interactive Webinars: Conducted bi-weekly live sessions where complex topics were broken down. These sessions allowed for Q&A, fostering a deeper understanding. Hands-on Labs: Provided students with datasets and challenges to solve, ensuring they got practical experience with coding, model building, and problem-solving. Peer Reviews: Encouraged students to review each other's project work, fostering a collaborative learning environment and helping them learn from diverse approaches. Resource Repository: Created a digital library of curated articles, research papers, and case studies to supplement learning. Student Feedback: Depth and Breadth: Students often mentioned the comprehensive nature of the courses, appreciating the balance between theory and practical application. Instant Support: Being a digital entity, I was available round-the-clock, enabling students from different time zones to seek clarifications without delay. Real-world Relevance: The datasets and challenges were modeled around real-world problems, making the learning experience more relevant and engaging. Challenges Faced: Varied Skill Levels: Catering to both beginners and those with some prior knowledge in data science required creating differentiated content and exercises. Keeping Pace: The field of data science evolves rapidly. Ensuring that the curriculum remained updated with the latest algorithms, tools, and best practices was a continuous endeavor. Success Stories: Over 70% of students who completed the Machine Learning Mastery course reported feeling more confident in their job roles, with some even transitioning to specialized roles like ML Engineer or Data Analyst. A team of students collaborated on a project they started during the Deep Dive into Deep Learning course. Reflections: Teaching on UrbanPro provided a unique opportunity to reach a global audience. The diversity of students, from different industries and backgrounds, enriched discussions and brought in varied perspectives. The goal was always to demystify data science and make it accessible to all, and the feedback suggests we were on the right track.

I worked in software industry for close to 16 years and have 3 yrs of relevant experience in ML and NLP technologies using python. Currently, I am on a break and looking forward to teach the subjects on which I have hands-on. Key skills are Python, Machine Learning, Natural Language Processing, Scikit-Learn, Numpy, Panda, Gensim, Spacy, NLTK. Have exposure to deep learning technologies like Keras and Tensorflow.

Data Science Architect (Certified Trainer & Professional) with 10+ years experience in I.T Industry.Working in areas of Data Science,Data Analytics,Business Statistics,Machine Learning,Deep Learning ,Artificial Intelligence,Python,R,Big Data,Hadoop,Map Reduce Spark,Hive,Tableau,SQL,Oracle Erp.

I am data scientist working on multiple domains for analytical and research problems to generate a artificial intelligent systems. my course of education is engineering however my thoughts and implementations are in the mode of invention and elaboration, on the same process of streamline the trend analysis and up to date my self, I use to teach my students.

Message Phone Pay Review Madhapur, Hyderabad, Telangana, India Can travel: No Last login: 33 mins ago Registered: Jul 12, 2018 Total Teaching exp: 12.0 yrs. Teaches online: Yes Online Teaching exp: 14.0 yrs. Teaches at student's home: No Homework Help: Yes Fee: ₹2,000-5,000/hour (USD 27.04-67.6/hour) Upload your photo I am a computer scientist, renowned for my work in my company in machine learning, neural networks, AI, cognitive science and object recognition. Having spent 15 years analyzing and modeling data to predict photoresist patterning. Prior to that, I performed computational modeling of polymer nanocomposites at the University. I have spent my career transforming technical knowledge into relatable solutions and look forward to sharing that wisdom to empower a new generation of learners. I am passionate about machine learning, data science, and the practical beauty of the Python and R programming language. In my career, I have a strong history of developing computational solutions to open-ended problems using techniques including Markov-Chain Monte Carlo simulation, neural networks, clustering analysis, and various other facets of Machine Learning. The power behind all of this was my faculty with Python. Python is the language of the modern engineer. I am excited to show both students and adult learners the simple elegance of the language and how it is an indispensable tool for the creative application of science to real-life problems

I am a solution architect for embedded edge who provides solutions to various customers who work on embedded device to build AI applications as well I have more than 1 year of experience as a data science trainer. My main focus in teaching is to make understand the concepts by practical hands on experience in the field of machine learning, deep learning with the help of different frameworks. I have a btech degree in computer science and engineering specialization in data science.

Data Science with python Data Science with R Introduction to Analytics Big data Analytics

Hi, I received your enquiry through UrbanPro regarding Data Science training and would be happy to assist you with the course details and learning roadmap. I am Dr. Dinesh Babu, a Data Science Expert, Generative AI Specialist, Corporate Trainer, and Research & Analytics Consultant. I specialize in helping job seekers and working professionals develop industry-ready competencies in Artificial Intelligence, Data Science, Analytics, and Generative AI through practical, project-based learning. My training methodology emphasizes real-world projects, capstone assignments, and case study-driven discussions that effectively bridge the gap between academic concepts and industry expectations. Through personalized mentorship and career-oriented guidance, I enable learners to strengthen their technical expertise, build impactful portfolios, and enhance their prospects of securing successful and rewarding career opportunities. Over the years, I have mentored more than 3,000 students, working professionals, and career changers across India and internationally, enabling them to build successful careers in Data Science, Artificial Intelligence, and Analytics. My expertise and contributions to the field have also been recognized through a National-Level Data Science Competition, where I secured a place among the Top 30 Data Scientists selected from over 400,000 participants across India.

I have 20 years strong experience & Alumni of MBA-IIMC SQC-ISI Building Statistical Predictive models and interpreting results and business problem solving. A technically qualified Data Science & Business Analytics professional with strong foundation in Mathematics, Statistics, Machine Learning and Data Mining techniques. Strong expertise performing on-demand, exploratory and targeted data analyses to obtain insights from data and turn insight into action by creating predictive analytic business solution. Education MBA Indian Institute of Management (IIMC) Kolkata SQC-OR Indian Statistical Institute (ISI), Kolkata.

Supervised Un Supervised Time Series Text analytics Python Machine leanring Mathematics Statistics

I have been teaching Math/STAT/Aptitude to the aspirants of various competitive exams in India, for the last 20 years .I was into DATA Science since 2015.I was trained in DATA SCIENCE at Hyderabad. I have been teaching DATA SCIENCE/MACHINE LEARNING/ARTIFICIAL INTELLIGENCE at SATHYA TECH.s AMEERPET for the last 4 years. As a faculty of DATA SCIENCE I taught following topics: Descriptive statistics- measures of central tendency -mean, median mode, measures of dispersion -Range , quartile deviation , mean deviation and variance. Probability, Inferential statistics - difference b/w SAMPLE and POPULATION estimation of Mean , population proportion, confidence intervals, variance.. etc. Distribution functions -binomial, poison, Normal. Bivariate analysis , ANOVA. Regression analysis , multi variate analysis ,Machine learning and Neural networks.Deep learning , Artificial intelligence. using python , R and Tablaeu. We are offering an online course in Data Science -Machine learning and Artificial intelligence Course duration is 90 hrs of teaching , every day 1 hour sessions are delivered online , on every Sunday , students are going to solve real time industry related projects under the guidance of experienced data scientist.We also help freshers in resume preparartion, give sample projects so that they may show their work in resume, we also help experienced candidates who want career shift into the world of Data Science and Artificial intelligence succesfully.

Provide courses for the following: Beginner Python. Python Automation Python Data Analysis Python Visualization Python Machine Learning Python Data Science

I am a Software Developer and a Trainer in Data Science using Python,R. I have an experience in project development and training in Java,Python,R. I also helped and helping students in their assignments as well. As a part of my training I will help the students to solve the real issues and help them to tackle the problems in development.

I am a seasoned Analytics professional (SAS Certified) with ~8 years of professional experience. I have industry experience of impactful and actionable analytics. I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students are crystal clear on how to use the learning in their business scenarios. My training includes, 1) SAS programming (BASE, ADVANCED) 2) Data Analytics/Business Analytics Using SAS EG/SAS EM 3) Visual Analytics / Data Visualizations Techniques/Creating Dashboards (Using TABLEAU Software) 4) SQL(Structured Query Language) 5) Application of Statistics (from scratch to Predictive Modeling Using SAS) 6) R programming 7) Domain/Functional Knowledge 8) Fundamentals of Data Warehousing 9) MS-Excel (Important Concepts used on day-to-day basis at work place) 10) Unix Commands 11) Certification Training on SAS 12) Scripting Language 13) Job Assistance / Support 14) Data Science classes - From Analyst stand point 15) Project Explanation - Banking & Clinical Domains (Credit Card Analytics/Customer Analytics/Campaign Analytics/Credit Risk Analytics/ Price Analytics/Line of Credit/deposits) Note: Each & Every topic in BASE SAS & ADVANCE SAS certification books will be taught.

New Batch on DATA SCIENCE with Data Analytics, Machine Learning, Deep Learning, Artificial Intelligence using PYTHON & R Classroom & Online Training. New Batch Starts from Tomorrow Course Duration: 3 Months with Real time Projects 100% Assured Placement Assistance Certification & Trainer Support after Completion of the Course Classroom + Online + Recording Videos + Materials Course Fee: Rs 22,400/- only

Data scientist with 7+ years into analytics and data science. Proficient in predictive analytics, regression based models, hypothesis testing, factor analysis/pca, clustering, segmentation methodologies etc. Extremely confident in using machine learning algorithms like logistic regression, cart, chaid, random forest, neural network, cnn etc. Hands on expertise in using statistical tools and languages like python, r and spss. Statistical analysis: Descriptive statistics, inferential statistics, anova,manova, exploratory data analysis. Machine learning: Multiple linear regression, logistic regression, decision tree (chaid & cart), random forest, knn, association rule mining (apriori and fp growth) Factor analysis, pca, clustering Deep learning: Neural network, deep neural network, convolutional neural network, r-cnn Programming and visual analytics tools: Python(spyder and jupyter) ,r,sql, tableau Statistical tools: Spss, rcmdr/rattle, excel.

I am Experienced in Teaching Data Science in the institute and Online classes. It is a customized course for the industry and I assume the persons do not have any knowledge in this field and will start the classes. Python language. Statistics: Descriptive and Inferential - Hypothesis tests. Machine Learning Linear Regression, Logistic Regression, Decision Tree, Random Forest, KNN, K-means clustering, PCA, Time Series Forecasting, SVM, Tableau Visualization tool.

I have 10+ Yrs of exp in corporate training . ntroduction to Python. Introduction to Jupyter Notebooks. Data Structures in python. Dealing with strings and dates. Decision statements and loops. Libraries and functions. Creating re-usable programs. Computations with Numpy. Data Analysis with Pandas. Data Visualization with Matplotlib.

I have significant teaching experience in Data Science, guiding students and professionals through the complete data science lifecycle. My teaching covers data collection, data cleaning, exploratory data analysis (EDA), and data visualization using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. I train learners in statistical concepts, probability, hypothesis testing, and feature engineering, helping them understand how data-driven decisions are made. I also teach applied Machine Learning techniques used in Data Science, including regression, classification, clustering, and model evaluation. My sessions are hands-on and project-based, where learners work on real-world datasets to build end-to-end data science solutions. I emphasize practical problem-solving, interpreting results, and presenting insights clearly. My teaching approach ensures students build strong fundamentals and gain confidence in applying Data Science concepts to academic, professional, and real-world scenarios.

Dive into the forefront of technological innovation with Artificial Intelligence Essentials, a comprehensive module designed to transition students from AI consumers to full-stack AI creators. In an era where software development is being redefined, this course provides a rigorous, hands-on approach to mastering the tools that are shaping the future. We begin by establishing a strong foundation in Generative AI, demystifying the architecture of Large Language Models (LLMs) and the ethics of synthetic media. Students will master the art and science of Prompt Engineering, learning to manipulate context, temperature, and chain-of-thought reasoning to elicit precise, high-value outputs from AI models. Moving beyond theory, the course embraces the paradigm shift of "Vibe Coding"—the modern practice of coding with natural language and high-level logic rather than manual syntax. You will learn to utilize AI as an intelligent pair-programmer, focusing on system architecture and creativity while the AI handles the boilerplate. Finally, you will bridge the gap between concept and reality. The course culminates in a practical capstone project where you will deploy a live, AI-powered website. By the end of this module, you will possess the agility to conceptualize, generate, refine, and launch functional AI applications, ensuring you are equipped for the next generation of software engineering.

I am a software engineer working in MNC for past 4 years. I completed B.Tech I can able to teach following technologies. 1. AWS certified solution architect (Certified - Associate) 2. Python (Hands on experience) 3. Lotus Notes/Domino (experience more than 3 years) 4. Data Science.

I can teach machine learning in the easiest way still covering all Mathematics and Statistics. With the core intuition behind every machine leaning algorithm and how to choose the perfect algorithm will be taught comprehensively.

Advanced Data Science with Gen AI ================================================= Trainer Profile : K. Venkata Rao from Alumni of IIMC, ISI , Over 22 years of work experience Corporate Training: 200 above corporate training delivered by trainer on Data Science and ML Awards and Achievements: Best Data Science Trainer Award 2016, 2018 2022

What is Machine Learning  Machine Learning Types o Supervised learning o Unsupervised learning o Reinforcement learning o Deep learning  Linear regression  Multiple linear regression  Gradient Descent  Ridge regression  Lasso regression  Logistic regression-Binary classification  Logistic regression-Multi Class classification  K Nearest Neighbors (KNN)  Naive Bayes  Decision trees  Random forests  Un Supervised Learning  K Means Clustering  K fold cross validation  Hyper parameter tuning o Grid Search CV o Randomized CV  Ensemble Methods o Boosting o Bagging  Introduction to Tensor flow  Constant  Place holders  Variables  MLNN  Neurons  Weights  Activations  Networks of Neurons  Training Networks  Back propagation  Gradient Descent  CNN  Classification learning  Flatten  Fully Connected  SoftMax  3 Real-Time Projects  Deployment on multiple platforms  Discussion on project explanation in interview  Data scientist roles and responsibilities  Data scientist day to day work  One to One resume Discussion with project, technology and Experience.  Mock interview for every student