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Introduction veterinary science


Top sales list introduction veterinary science

India (All cities)
Booktown is the perfect place to buy veterinary science books. They have a wide selection of books on subjects ranging from animal anatomy to diseases and treatments. The books are written by experienced professionals and provide reliable, up-to-date information. Contact Us BookTown P.No. Y-90, Mahaveer Nagar, AVM School Ke Peeche, 80 Fit Road, Sanganer Jaipur Rajasthan India 8058000115 booktown21@gmail.com 302029
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Meerut (Uttar Pradesh)
Veterinary is a part of health care science that deals with non-human treatment, diagnosis and prevention of diseases, other disorder and injuries. It is a broad field covering all species of animals as well as many disciplines. The practitioners are called veterinary physicians or vets (veterinarians). Usually they focus on these areas: small animal practice, wildlife medicine, food safety, food animal medicine, large animal practice, laboratory animal practice, conservation medicine, equine medicine, exotic animal veterinarian and etc. Graduates can work as animal caretakers, marine biologists, park managers or rangers, science teachers, animal groomers, veterinary pathologists, animal assisted therapists and etc. Dial now and get get admission anywhere in india instantly
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Patna (Bihar)
Science is the way of gaining knowledge using a process of observation and testing. The series SCIENCE IN-DEPTH has been designed with the same objective to develop the scientific skills like observation, gathering information, investigation, and experimentation and drawing conclusion. It is a series of eight books from Classes I to VIII. Salient Features of the Book: Book includes simple, comprehensive and laconic text with appropriate illustrations to understand scientific concepts. An introduction in each chapter familiarizes the learners with the concepts discussed. Activities interspersed within each chapter to link the textual concepts with the practical experience. Quick Recap at the end of each chapter gives a brief summary of the important points. Fast Fact provides additional and interesting information in boxes wherever required. Key Terms with their meanings at the end of each chapter help the learners to understand the meanings of scientific and other new terms. At the end of each chapter NCERT Text-Book Questions (Solved) and Exemplar Problems (Solved) are provided. Exercises comprise a variety of questions with Higher Order Thinking Skills (HOTS) and Value Infusion (Value Based Questions) that encourage the students to think and analyze the learnt concepts. Two Sample Question Papers based on the marking scheme prescribed by the NCERT to assess the learning at the end of year.
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India
Distance Education is an opportunity to learn at the rate, speed and also ease of the particular Student. We are providing Distance learning Diploma in Livestock and Veterinary so that you can upgrade yourself to reach the new heights of success. Working professionals can also join this course and complete their degree from distance learning while continuing their job. Qualification: 10+2 with PCB stream with First division Duration of Course: 2 years Syllabus for Diploma is also available: Code Subject DVLDA11: Introduction to Pharmarcy DVLDA12: Study of structure & function of body DVLDA13: Live stock, Poultry Production & Management DVLDA14: Fundamentals of Animals Breeding DVLDA15: Elementary Medicine DVLDA16: Clinical Practice Contact Us at: for any HELP
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Agra (Uttar Pradesh)
If you are looking for the Best platform to learn Data science, is an interdisciplinary field that uses statistical and computational methods to extract insights and knowledge from data. Its goal is to provide actionable insights, predictions, and recommendations based on data by using techniques such as machine learning algorithms, data visualization, and statistical analysis. Data science is used in various industries, including finance, healthcare, marketing, and technology, to solve problems such as fraud detection, risk management, and predictive maintenance. Data science provides numerous benefits to organizations, including better decision-making by identifying patterns, trends, and opportunities from data. It also improves efficiency by automating tasks and streamlining processes. Data science enables personalized customer interactions, leading to enhanced customer experience and loyalty. Organizations can reduce costs and gain a competitive advantage by optimizing their operations and providing better customer experience. Overall, data science is a valuable tool for organizations to improve their performance and achieve their business goals. Best platform to learn Data science, is a field that can be learned by anyone with the right resources and dedication, and there are many online courses, books, and tutorials available to help individuals learn the necessary skills and one of the best platform to learn Data Science is TalentServe. Employment in the field of data science is projected to grow by 11% from 2019 to 2029, which is much faster than the average for all occupations, due to the increasing demand for data-driven insights in various industries. Data science encompasses various activities, including data collection, data cleaning and preprocessing, exploratory data analysis, feature engineering, model selection and evaluation, and communication of results. It also involves using machine learning algorithms, data visualization, and statistical analysis to make predictions and provide actionable insights based on data. For more, details visit our site:https://www.talentserve.org/course-datascience COURSE CONTENT Introduction to Python Basic Steps NUMPY Data Visualization Pandas Exceptions and Errors Introduction to Artificial Intelligence and Machine Learning Data Wrangling and Manipulation Supervised Learning Supervised Learning-Classification Unsupervised learning Machine Learning Pipeline Building Decision Tree Analysis and Ensemble Learning AI and Deep learning introduction Artificial Neural Network Deep Neural Network & Tools Deep Neural Net optimization, tuning, interpretability Convolutional Neural Net Recurrent Neural Networks Overfit and underfit Transfer Learning Working with Generative Adversarial Networks Pytorch C-103, 1st Floor, Shree Sai Tower, CHSL, Sodawala Lane, Near Sterling Hospital, Borivali (W), Mumbai-400092 hello@talentserve.org
Free
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Hyderabad (Andhra Pradesh)
About The Event- Analytics Path delivers the perfect platform for the Data Science career enthusiasts to step into this new world of opportunities. With the aid of Data Science training experts who are from IIT & IIM background Analytics Path is commencing a Free Webinar On Wed 8th July 2020, @ 7 AM (IST) & New Online Batch On Data Science Training from Thursday 9th July 2020, Analytics Path. Our qualified trainers will make the students find it easily to learn various tools and techniques that are involved in Data Science. As a part of this Data Science training program participants will be mastering knowledge of the concepts that will help them to get placed instantly after the completion of their course certification. Data Science New Regular Batch Session Highlights: The major highlights of this advanced Data Science New Regular Batch session which is supervised by industry experts include ??Introduction to Data Science in the Real world and Data Acquisition ??Understanding of Machine Learning Algorithms ??Enhances skills in various tools and techniques of Evaluation and Project Deployment ??Leverages knowledge in the concept of Prediction and Analysis Segmentation through clustering ??Enhances basics of Big Data and ways to integrate R with Hadoop technology ??Exploring the steps to install R ??Data mining, Data structures and Data Manipulation Who Can Attend This Data Science Training Program? The aspiring audience who wants to make a career in Data Science must attend Data Science Training session by Analytics Path. ??BI Managers and Project Managers ??Analytical Professionals ??IT Professionals ??Fresher ??Graduates ??System Engineers can attend this Data Science training program Hurry Up And Enroll Now For The Free Webinar On Wed 8th July 2020, @ 7 AM (IST) & New Online Batch Session On Data Science Training At Analytics Path Scheduled On Thursday 9th July 2020, Analytics Path. For Free Registration https://forms.gle/bdsBbbmSjxPPgtUY6 https://bit.ly/3iBfw2M https://www.analyticspath.com/datascience-training-in-hyderabad Contact: +91 784 282 8899 Address: Plot No. 28, 4th Floor, Suraj Trade Center,Opp. Cyber Towers, Above IndiBlaze Restaurant, Hitech City, Hyderabad - 500081, Telangana
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Thane (Maharashtra)
Inside the Emerging Multibillion-Dollar Nanotechnology Industry   Suddenly, nanotechnology isn't science fiction or mere theory: It's becoming one of the world's fastest-growing, highest-impact industries. In Nanotechnology: Science, Innovation, and Opportunity, the field's leading experts offer an up-to-the-minute briefing on where the industry stands now, how it will unfold over the coming decade, and how it will impact you. Edited by a key industry advisor, this book covers the latest in nanotech science, technology, and applications. You'll meet the key players, and discover nanotech at work in fields ranging from drug delivery to energy efficiency. Here are the opportunities, the challenges, and the implications: all you need to know about today's nanotech business--and tomorrow's. Coverage includes How the convergence of nanoscale science foreshadows revolutionary societal change Technical and business obstacles that still challenge the industry Lessons from the early "gold rush" days of biotech: managing the hype Nanotech as disruptive innovation: implications for investors and venture capitalists The evolving roles of entrepreneurs, universities, and the U.S. government Key application areas: materials, microelectronics, sensors, energy, and beyond Bio-Nano-Information fusion: the potential to transform medicine Relevant patent law and intellectual property issues The ethics of nanotechnology   "A fascinating look at the art and science of nanotechnology. Hold on to your hats, the world is about to change big time.... A comprehensive look at nanotechnology from the perspective of science, investment, IP, and business development with a healthy dose of vision for good measure. First-rate authors with an excellent presentation of the material. Buy this book." --David Bishop, Ph.D., V.P. of Nanotechnology Research, Bell Labs, Lucent Technologies "An absolute must-read for every technology sector being impacted by nanotechnology. This book presents the true value of these technologies, delivering a comprehensive prospectus on the science to commercialization of nanotechnology." --Matthew Laudon, Ph.D., Executive Director, Nano Science & Technology Institute "This is an excellent book for anyone trying to get a general grasp on the emerging science and technology of nanotechnology in particular for business executives, engineers, or entrepreneurs who are trying to decide what this technology can mean to them." --Charles H. Volk, Ph.D., V.P. & Chief Technologist, Northrop Grumman, Navigation Systems Division "Larry Gilbert and Michael Krieger's overview of the university technology transfer process is excellent and provides a realistic perspective and understanding of the commercialization process for technologies developed in the academic environment." --John Ritter, Director, Office of Technology Licensing, Princeton University "For a broad, readable introduction to nanotechnology with its attendant entrepreneurial, social, and technological implications, this book is a great start. The most interesting chapter from my perspective was Smalley's on finding abundant, cheap energy sources. Most informative and refreshing. If you have an interest as an intelligent layperson in nanotechnology and its basic motivations and methods, this book will serve as a worthy point of departure in your search." --Mark S. Petrovic, Ph.D., V.P. of Research and Development, EarthLink "Get this book if you want to explore any part or the whole field of nanotechnology. I was interested in the many sources of funding for nanotechnology and why each source was doing it. The authors have shown an awareness that nanotechnology must be nurtured by dedicated people to achieve its real potential. I recommend this book because it treats the potential of nanotechnology in depth and realistically: Riches will come, but much effort is needed in the meantime." --Bill McLellan, winner of Richard Feynman's Nanotechnology Challenge     Contributors: Foreword by Senators Joseph Lieberman and George Allen 1. Lessons in Innovation and Commercialization from the Biotechnology Revolution: Gerald Gallwas, Beckman Instruments 2. Nanotechnology and Our Energy Challenge: Dr. Richard Smalley, Rice University 3. Fads & Hype in Technology: The Sargasso Sea of ‘Some Day Soon’: Peter Coffee, eWeek 4. Nanotechnology Commercialization: Steve Jurvetson, Draper Fisher Jurvetson 5. Investment in Nanotechnology: Dr. Daniel Leff, Harris & Harris Doug Moffat, Moffat Capital 6. Role of the U.S. Government in Nanoscale Science and Technology: Geoff Holdridge, National 7. Nanotechnology Coordination Office and WTEC, Inc. 8. Overview of US Academic Research: Dr. Julie Chen, University of Massachusetts Lowell 9. Understanding University Technology Transfer for Nanotechnology: Larry Gilbert, Caltech, Dr. Michael Krieger, UCLA 10. Intellectual Property Policy and Impact: Chinh Pham, Greenberg Traurig, Charles Berman, Greenberg Traurig 11. Entrepreneurs: Jeff Lawrence, Trillium Digital Systems, Larry Bock, Nanosys 12. Major Corporations: Technology, Business and the Culture of Opportunity: Jim Duncan, Meggitt PLC 13. Nanotechnology in Federal Laboratories: Dr. Meyya Meyyapan, NASA Ames Laboratory 14. Nanoscale Materials: Dr. Mark Reed, Yale, Dr. ZL Wang, Georgia Tech, Dr. Brent Segal, Nantero Dr. Sheryl Ehrman, Maryland, Fiona Case, Case Scientific 15. Nanotechnology-Enabled Sensors: Dr. David Nagel, George Washington University, Dr. Sharon Smith, Lockheed Martin Microelectronics, Dr. Stephen Goodnick, Arizona State, Dr. George Thompson, Intel, Dr. Axel Scherer, Caltech 16. Drug Delivery: Dr. Suzie Pun, University of Washington, Dr. JJ Cheng, University of Illinois at Urbana-Champaign 17. Bio-Nano-Information Fusion: Dr. Chih-Ming Ho, UCLA, Dr. Dean Ho, UCLA, Dan Garcia, UCLA 18. Convergence and Integration: Dr. Mike Roco, National Science Foundation 19. Ethical Considerations in the advance of Nanotechnology, Dr. Bill Bainbridge, National Science Foundation 20. Infinitesimal Machinery: Dr. Richard Feynman, Caltech   
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Hyderabad (Andhra Pradesh)
SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Online Training Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801 
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Hyderabad (Andhra Pradesh)
SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Classroom Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Classroom Training SequelGate Training Institute  Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).
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Hyderabad (Andhra Pradesh)
SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Contact us today for practical Data Science & Big Data /Data Analytics Online Training: Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).
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Hyderabad (Andhra Pradesh)
SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit SequelGate Training Institute  Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).
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Hyderabad (Andhra Pradesh)
SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Classroom Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visi Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).
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Hyderabad (Andhra Pradesh)
SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).
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Delhi (Delhi)
Materials Science & Engineering- An introduction by William D Callister
₹ 400
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Madurai (Tamil Nadu)
All books are in good condition.These books will be helpful for those who are eager to work in IT field. As AI and Data Science are the future and upcoming technologies basics for these will be covered by these books. It also helps learner to build his/her own mobile applications. RS. 50 each book. If you buy complete set books RS.35 to 40 each book. Total of 13 books. 1) Information Storage and Management: Storing, Managing, and Protecting Digital Information in Classic, Virtualized, and Cloud Environments, 2nd Edition 2)Introduction to the Design and Analysis of Algorithms by Levitin Anany 3)Computer Graphics C version by Donald Hearn M. Pauline Baker 4)Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development by Craig Larman 5)Digital Principles and System Design by A.P.Godse 6)Data Structures using C ISRD Group 7)Fundamental of Mobile Computing by Prasant Kumar Pattnaik, Rajib Mall 8)Understanding Pointers in C by Yashavant Kanetkar 9)Programming ANSI C by E.Balagurusamy 10)Computer Organization by Carl Hamacher, Zvonko Vranesic, Safwat Zaky 11)Operating System Concepts by Abraham Silberschatz, Peter B. Galvin, Greg Gagne 12) JAVA Fundamentals by Herbert Schildt, Dale Skrien 13)Software Engineering by Roger S. Pressman
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