Data Science Classes near me in Hyderabad

I got your response from urbanpro regarding Data Science Using R and Python Programming. And, I completed B.Tech with MBA also Pursuing Ph.D in the field of Data Analytics and Business Intelligence in BITS Pilani,So far more than 1500 professionals trained and many colleges across India trained the students. Kindly, Share your email ID will send you the detailed course brochure. This course is designed for professionals who want to explore data analysis using R Programming and it includes Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression and Random Forest Regression and Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification and Random Forest Classification and then Clustering: K-Means and Hierarchical Clustering and then Association Rule Learning: Apriori Algorithm and Eclat and then Reinforcement Learning and then Natural Language Processing and Deep Learning: Artificial Neural Networks, Convolutional Neural Networks and Dimensionality Reduction: PCA, LDA, Kernel PCA. Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

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.

A Electronics and Communication Engineering graduate and currently working as a Associate Data Scientist and experienced in different technologies of data science like Machine Learning, Deep Learning, Natural Language Processing,Big Data and worked on various projects and an individual who is highly skilled in python programming language and cloud computing.

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.

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.

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.

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.

Data Science & Machine Learning with Python Training – Learn from a #1 Ranked Tutor! 🌟 Are you ready to step into the world of Data Science and Artificial Intelligence? This course is designed to take you from the basics of Python programming all the way to building and deploying Machine Learning models. Whether you’re a beginner or a professional looking to upskill, this training will give you the hands-on knowledge and confidence you need to succeed in the most in-demand field today. As a Platinum Member and ranked #1 Trainer on UrbanPro, I have already mentored many students and working professionals across the globe. With my proven methodology I ensure that each session is structured, interactive, and practical. You won’t just learn theory; you’ll gain real-world skills through live coding, case studies, and mini-projects that reflect industry needs. 🔹 Key Highlights of the Course: Complete Python training (variables, loops, functions, OOPs) tailored for data science. Data handling and analysis using NumPy and Pandas. Beautiful and meaningful data visualization with Matplotlib and Seaborn. Core concepts of Statistics and Probability for Data Science. Supervised & Unsupervised Machine Learning algorithms (Regression, Classification, Clustering, etc.). Model performance evaluation, fine-tuning, and optimization. Real-world use cases and end-to-end projects to build your portfolio. 🔹 Why Learn from Me? Proven Experience: Top-rated trainer with years of IT and automation expertise. Simplified Learning: I explain complex concepts in a way that even non-programmers can grasp easily. Hands-On Approach: Every session includes practice exercises and coding tasks. Personalized Mentorship: Small batches, one-to-one attention, and doubt-solving support. Career-Focused Training: Guidance on project building, resume boosting, and interview preparation. 🔹 Who Can Join? Students who want to add an in-demand skill to their career profile. Freshers seeking entry into the Data Science / AI field. Professionals from IT or non-IT backgrounds who want to upskill. Enthusiasts eager to explore how Python and ML are transforming industries. By the end of this course, you will not only be able to analyze data and build predictive models but also confidently showcase your skills in interviews, projects, and real-world applications. Join me on this journey and open the door to a high-growth career in Data Science and Machine Learning with Python.

• 9+ years experienced Senior Software Engineer and Certified Data Science Professional highly skilled in solving real-world business challenges using data analytics and building predictive models. • Adept at setting up the Data Science Workbench for increasing overall organizational efficiency. • Proficient in identifying patterns and extracting valuable insights for key stakeholders and organizational leadership. • Areas of Expertise: Data Analytics | Python | NLP | Machine Learning | Text Summarization | Predictive Analytics | Classification | Regression | Clustering | Data Engineering | Airflow I have helped many students and professionals crack the assignments for Data science Post graduate courses and have helped them by explaining the concepts of Data science and Python with ease of understanding.

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

I am a Data Scientist and an Online Tutor. I have work experience of 3 years in a Leading Data Science Company in India. I have good real-time work experience in the skills listed below. 1. Python 2. SQL 3. Machine Learning 4. Data Science 5. Data Scraping 6. Data Visualisation 7. AWS 8. Django 9. Flask 10. APIs I am good at explaining tech in easy to understand way. I will be sharing my real-life work experience and how the above technologies or concepts above in the real world. We'll do fun projects that feel like real-life challenges. We'll use what we learn to solve problems and make useful things. Don't worry about your experience level; our lessons will be customized just for you. Whether you're a beginner or already know some things, we'll find the right pace. Everything happens online so that you can learn from the comfort of your home. We'll talk, share ideas, and learn together. I aim to help you become good at Data Science and Python. Together, we'll ensure you reach your full potential and successfully journey in this exciting field.