|Course or Certification Name||Category||Location||Mode of learning|
|Complete Machine Learning and Data Science: Zero to Mastery||Machine Learning||Online self study|
|Accelerated PG Program in Oil & Gas Management for Working Professionals||Distance MBA||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Senior Software Architect Masters - 200+ courses||Emerging Web Technologies||Online self study|
|Become a Product Manager | Learn the Skills & Get the Job||PMP||Online self study|
|Learn Social Engineering From Scratch||Ethical Hacking||Online self study|
|Vskills Certified Engineering Design Professional||Engineering Design||Online self study|
|UPES CCE - Certificate program in Project Management||PMP||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|The Ultimate Hands-On Hadoop - Tame your Big Data!||Big Data||Online self study|
|Machine Learning PG Certification Program||Machine Learning||Classroom|
|SHRM Senior Certified Professional (SHRM-SCP)||Talent Management||Online self study|
|Big Data Engineering Training Course||Big Data||Online self study|
|DevOps Extensive Training||DevOps||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Online M.Sc - IT||MSc IT||Online self study|
|Big Data Engineering Perspectives||Big Data||Online self study|
|Taming Big Data with Apache Spark 3 and Python - Hands On!||Data Science||Online self study|
Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 180,000+ developers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. This is a brand new Machine Learning and Data Science course just launched January 2020! Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies. Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know). This comprehensive and project based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on the job skills that employers want. The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Machine Learning and Data Science engineer. The course covers 2 tracks. If you already know programming, you can dive right in and skip the section where we teach you Python from scratch. If you are completely new, we take you from the very beginning and actually teach you Python and how to use it in the real world for our projects. Don't worry, once we go through the basics like Machine Learning 101 and Python, we then get going into advanced topics like Neural Networks, Deep Learning and Transfer Learning so you can get real life practice and be ready for the real world (We show you fully fledged Data Science and Machine Learning projects and give you programming Resources and Cheatsheets)! The topics covered in this course are: - Data Exploration and Visualizations - Neural Networks and Deep Learning - Model Evaluation and Analysis - Python 3 - Tensorflow 2.0 - Numpy - Scikit-Learn - Data Science and Machine Learning Projects and Workflows - Data Visualization in Python with MatPlotLib and Seaborn - Transfer Learning - Image recognition and classification - Train/Test and cross validation - Supervised Learning: Classification, Regression and Time Series - Decision Trees and Random Forests - Ensemble Learning - Hyperparameter Tuning - Using Pandas Data Frames to solve complex tasks - Use Pandas to handle CSV Files - Deep Learning / Neural Networks with TensorFlow 2.0 and Keras - Using Kaggle and entering Machine Learning competitions - How to present your findings and impress your boss - How to clean and prepare your data for analysis - K Nearest Neighbours - Support Vector Machines - Regression analysis (Linear Regression/Polynomial Regression) - How Hadoop, Apache Spark, Kafka, and Apache Flink are used - Setting up your environment with Conda, MiniConda, and Jupyter Notebooks - Using GPUs with Google Colab By the end of this course, you will be a complete Data Scientist that can get hired at large companies. We are going to use everything we learn in the course to build professional real world projects like Heart Disease Detection, Bulldozer Price Predictor, Dog Breed Image Classifier, and many more . By the end, you will have a stack of projects you have built that you can show off to others. Here's the truth: Most courses teach you Data Science and do just that. They show you how to get started. But the thing is, you don't know where to go from there or how to build your own projects. Or they show you a lot of code and complex math on the screen, but they don't really explain things well enough for you to go off on your own and solve real life machine learning problems. Whether you are new to programming, or want to level up your Data Science skills, or are coming from a different industry, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don't know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no Data Science experience, to someone that can go off, forget about Daniel and Andrei, and build their own Data Science and Machine learning workflows. Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career. You hear statements like Artificial Neural Network, or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean! Click Enroll Nowand join others in our community to get a leg up in the industry, and learn Data Scientist and Machine Learning. We guarantee this is better than any bootcamp or online course out there on the topic. See you inside the course! Taught By: Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible. See you inside the course!
This is an executive PG Program in Oil & Gas Management designed for professional who need focused program in Oil & Gas specialization. Itâ€™s a 10 months program meant for professionals moving into mid or senior management roles in Oil and Gas, Renewable energy, chemicals and other related industries, in both India and Abroad.
** Updated August 2019: Over 1,020 students who have taken this course have gotten jobs as Product Managers! Students now work at companies like Google, Zynga, Airbnb, Wal-Mart, Dell, Booking. com, Jet. com, Vodafone, HomeAway, Boeing, Freelancer. com, Wayfair, & more! ** The most updated and complete Product Management course on Udemy! You'll learn the skills that make up the entire Product Management job and process: from ideation to market research, to UX wireframing to prototyping , technology , metrics, and finally to building the product with user stories , project management , scoping , and leadership . We even have interviews with real life PMs , Q&A sessions with students, and a comprehensive guide to preparing and interviewing for a Product Management job . Right now, there are over 3,000+ job listings worldwide that are looking for Product Managers, that pay on average $100,000 / year . The demand for Product Management is increasing at an insane rate. More and more companies are finally figuring out how important this discipline and this role is to their success. But how exactly do you get into the field? There aren't any degrees in Product Management & there are no certifications. Most Product Managers get into the field through luck or connections. That ends here - we'll get you up to date on ALL the skills you need to learn Product Management AND have the best chance at getting the job you want. There's no more ambiguity to it. We'll show you what you need to know and what you have to do - all taught from a Product Management insider. Students aren't required to know anything beforehand - we'll teach you the fundamentals, how to apply them, how to develop into an advanced product manager, and finally how to maximize your chances to get a job as a Product Manager. Your instructors: Cole Mercer has been a Senior Product Manager at Soundcloud, Bonobos, Mass Relevance, and has taught the Product Management course at General Assembly in Manhattan, NYC. Evan Kimbrell is a Top rated Udemy instructor with 11 courses on everything Entrepreneurship. His courses have over 35,000 students, 1,000+ 5 star reviews, and an average rating of 4.9 / 5.0.
Welcome to my comprehensive course on Social Engineering! In this course, you will start as aÂ beginnerÂ with no previous knowledge about penetration testing or hacking, we will start with theÂ basics of social engineering,Â and by end of it you'll be at an advanced level being able toÂ hack into all major operating systemsÂ (windows, OS X and Linux), generate different types of trojans and deliver them using smart social engineering techniques.
Engineering Design is the process of devising a system, component, or process to meet desired needs. The course, Engineering Design, is specially made to teach the decision making process (often iterative) in which the basic sciences, mathematics, and engineering sciences are applied to convert resources optimally to meet a stated objective. The course is very beneficial for engineering and management professionals or students pursuing post graduation studies. | The certification tests the candidates on various areas in product planning, product specifications, prototyping, design for quality and reliability.
The program is aligned to PMBOK 6th Edition and beyond, it gives students an opportunity to learn about project management issues and skills within a business context. The students get an opportunity to learn about project planning, management, and financial control, project procurement and solicitation, assessing and mitigating risk, and advanced project management skills. The curriculum is designed in accordance to standards set by the leading industry platforms and bodies. Adding a project management certification to your list of credentials is a great way to benchmark your skills for potential employers and show that you have the know-how to plan, schedule, budget, execute, deliver and report on various initiatives. Employers are seeking specific skills to deliver what the businesses need to compete and 40% of them will hire Project Managers in the next 12 months to keep pace with the increasing projects.
The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop tutorial, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems! Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb . We'll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with. Install and work with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UI Manage big data on a cluster with HDFS and MapReduce Write programs to analyze data on Hadoop with Pig and Spark Store and query your data with Sqoop , Hive , MySQL , HBase , Cassandra , MongoDB , Drill , Phoenix , and Presto Design real-world systems using the Hadoop ecosystem Learn how your cluster is managed with YARN , Mesos , Zookeeper , Oozie , Zeppelin , and Hue Handle streaming data in real time with Kafka , Flume , Spark Streaming , Flink , and Storm Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data. Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images. This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures . It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop - it's not just theory. You'll find a range of activities in this course for people at every level. If you're a project manager who just wants to learn the buzzwords, there are web UI's for many of the activities in the course that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, I'll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python . You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end! Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way. Knowing how to wrangle "big data" is an incredibly valuable skill for today's top tech employers. Don't be left behind - enroll now! "The Ultimate Hands-On Hadoop... was a crucial discovery for me. I supplemented your course with a bunch of literature and conferences until I managed to land an interview. I can proudly say that I landed a job as a Big Data Engineer around a year after I started your course. Thanks so much for all the great content you have generated and the crystal clear explanations. " - Aldo Serrano "I honestly wouldnâ€š be where I am now without this course. Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment. This course helped me achieve a far greater understanding of the environment and its capabilities. Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment." - Tyler Buck
MACHINE LEARNING (ML) is the construction of algorithms that one can learn from and respond to large data sets faster and make effective predictions. It instructs computers to find patterns in data without being explicitly programmed. As data grows in volume and becomes more complex, the applications of ML are becoming widespread. Key applications of ML include: Trading Patterns & Efficiencies in Global Financial Markets, Fraud Prediction & Detection for Banks, Recommender & Predictor Systems for Retail & E-Commerce, Transportation Management & Traffic Shaping for Smart Cities and Predictive Techniques for Autonomous Vehicles. This course is number 1 in-demand skill globally among programmers. Machine Learning specialists usually get a substantial hike in earnings depending on their experience and capabilities.
The course is aimed at providing advice, guidance and counsel to the candidates. HR Practitioners are also involved in the decision making and problem solving processes. In this course, you will scout behavioral competencies, ethical practice, capabilities for improving the effectiveness in the workplace, some judgement examples and so on. It is actually helpful for HR professionals who wish to develop abilities for advancing their career. The course also includes global job market issues, organizational hiring needs, key activities for successful onboarding and workforce planning. Besides this, it will help prepare for the SHRM-CP/SCP certification exams, it is equally useful for HR professionals who want to develop capabilities for improving their effectiveness in the workplace and advancing their career.
Big data, in simple terms, refer to the huge amount of data set that cannot be usually analysed using traditional methods. Big data is a growing field and many businesses are adopting it to improve their business functions; leading to a spurt in the demand for expert professionals in the field. | Big Data Engineering course is aimed at providing the best-in-the-industry training to the candidates who are looking to get success in big data field | The course has quality online learning modules which have been developed by subject matter experts | Providing the necessary skills, the course has a comprehensive coverage of all important topics related to big data engineering
Trainer-P Nageswara Rao : 12yrs+ Exp. DevOps consultant & Architect | Founder of Gamut Gurus technologies which is pure and largest DevOps training institute | Completed 200+ DevOps training batches which includes classroom, online and corporate. | Trained more than 5000 DevOps learners | He also helped many companies to on-board their tools, processes and teams on DevOps culture and practices | He teaches mostly on command-line and digital white board at core level with real-time projects from job oriented perspective. | He worked for Walmart the worlds largest e-commerce company, NetApp, EMC..etc. popular technology centric companies. | He has core hands-on experience on large size applications and infrastructure. He is one of the core and advanced DevOps engineering experts. | He is specialist in training newbies with his great teaching skills. He goes slow while teaching and can degrades himself to the students level with patience. | He believes in quality, committed and extensive core technical training rather than business. | He covers the subject very extensively and in-depth with his good teaching skills on real-time projects. | He explains each and every topic showing it on realtime application, with real-time use cases and scenarios, interview questions, real-time issues and best practices.
A rigorous two-year (4semesters) program designed to prepare graduates for varied career opportunities in Information Technology. | From database management system, software engineering, networking fundamentals, object oriented programming, and data structure using C language to routing protocols& concepts, emerging technologies, and network planning & design â€“ the course covers important concepts, practices, and trends in the subject area. | The course teaches various methodologies and life cycles involved in developing software applications and conducting scientific research. | The course provides high-quality academic and technical training in software, databases, and networking with deep focus on the mathematical and theoretical foundations of computing. | Given its scope, the program will benefit anybody (with a graduation degree) seeking to develop skills, improve competency, and build expertise in the subject.
Big data is a term for data sets so large that traditional data processing applications can not be used to perform any sort of analysis. It is often semi structured or unstructured in form. There are a number of unique challenges that arise when companies begin to use big data. The least of which are the engineering concerns. This course will introduce some of those engineering challenges and describe how some companies have come up with solutions.
New! Updated for Spark 3 and with a hands-on structured streaming example. Big data" analysis is a hot and highly valuable skill and this course will teach you the hottest technology in big data: Apache Spark . Employers including Amazon , EBay , NASA JPL , and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think. Learn and master the art of framing data analysis problems as Spark problems through over 15 hands-on examples, and then scale them up to run on cloud computing services in this course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb. Learn the concepts of Spark's Resilient Distributed Datastores Develop and run Spark jobs quickly using Python Translate complex analysis problems into iterative or multi-stage Spark scripts Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop YARN distributes Spark across computing clusters Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX By the end of this course, you'll be running code that analyzes gigabytes worth of information in the cloud in a matter of minutes. This course uses the familiar Python programming language ; if you'd rather use Scala to get the best performance out of Spark, see my "Apache Spark with Scala - Hands On with Big Data" course instead. We'll have some fun along the way. You'll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most popular" superhero is and develop a system to find degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You'll find the answer. This course is very hands-on; you'll spend most of your time following along with the instructor as we write, analyze, and run real code together both on your own system, and in the cloud using Amazon's Elastic MapReduce service. 5 hours of video content is included, with over 15 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX. Wrangling big data with Apache Spark is an important skill in today's technical world. Enroll now! " I studied "Taming Big Data with Apache Spark and Python" with Frank Kane, and helped me build a great platform for Big Data as a Service for my company. I recommend the course! " - Cleuton Sampaio De Melo Jr.