|Course or Certification Name||Category||Location||Mode of learning|
|Selenium WebDriver Training with Java and Many Live Projects||Trending Software Testing Tools||Online self study|
|Machine Learning, Data Science and Deep Learning with Python||Data Science||Online self study|
|Big Data Hadoop & Spark Developer||Big Data||Online self study|
|Big Data Fundamentals||Big Data||Online self study|
|Big Data Hadoop Administrator (Online Classroom-Flexi Pass)||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Hadoop Administration||Hadoop Administration||Online self study|
|Senior Software Architect Masters - 200+ courses||Emerging Web Technologies||Online self study|
|Big Data Expert||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Software Masters Program- 200+ courses||Emerging Web Technologies||Online self study|
|Complete Machine Learning and Data Science: Zero to Mastery||Machine Learning||Online self study|
|Hadoop and Big Data for Absolute Beginners||Hadoop Administration||Online self study|
|Data Science Architect Master's Course in Association with IBM||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Software Master Subscription- 12 months||Emerging Web Technologies||Online self study|
|Vskills Certified Linux Administrator Government Certification||Opensource Server Administration||Offline self study|
|Data Scientist Master's program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
In depth Course on Selenium WebDriver Trusted by 2,00,000+ students, Includes many Live Projects & End 2 End Frameworks ~~~~~ COURSE RECENTLY UPDATED WITH LATEST SELENIUM 4 SERIES ~~~~~~ Selenium a Web based automation testing tool that automates anything and everything available on a Web page. Initially started by Thoughtworks and currently Google developers are supporting the latest version i. E. WebDriver. These lecture will provide you full hands on session on how you can automate web based applications and implement various frameworks such as Data driven, Hybrid, Page Object model, Page factories, Cucumber BDD etc. Here, you will find the detailed content which will help you get started on Selenium and build your java programming basics. This course is the first Selenium course on Udemy and covers over 100 hours of topics which no other Selenium courses in the industry covers in this much depth. Along with this the other part of this course focuses majorly on the Architect level topics where we will see detailed implementation of 7 Live projects with many frameworks and approaches covered which will include, Parallel execution frameworks, Multithreading, Java Generics, Virtual environment including Dockers etc and the base of all is you will get in-depth knowledge on Core Java that covers basic if, else, loops arrays, basic OOPS - inheritance, polymorphism, interfaces, abstract classes, Collections, Reflections and many more topics related to java i. E. File Handling, Log4j, JavaMAIL API, Interactive report generation using ReportNG, Extent Reports etc Benefits from the Course: Life time access to 100+ hours of Advance Selenium video lectures. Life time support in your queries. Apart from Selenium various other APIs are integrated as well like TestNG, ReportNG, Log4J, JavaMAIL API, Extent Reports etc which will help you a lot in designing powerful frameworks. At the end of the training you will be able to automate any web based application of your own and should be able to work on live projects. After the course you should be able to justify 3+ years of your current experience in Selenium and can crack any Selenium automation interview easily Many assignments, PDF lectures and source code for each module is available for download. Not only this the best advantage of this course is the level of support you will get in your queries and automation projects where ever you are stuck with. Support will be provided through Q&A section of this course So being the biggest Selenium course in the industry I always make sure to update the course with latest API changes so anything that you need to learn in Selenium you will find that topics in this course and if not then you can message me and If the topic is relevant then I will include in the course.
New! Updated for Winter 2019 with extra content on feature engineering, regularization techniques, and tuning neural networks - as well as Tensorflow 2.0 support! Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too! If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path. This comprehensive machine learning tutorial includes over 100 lectures spanning 14 hours of video , and most topics include hands-on Python code examples you can use for reference and for practice. Iâ?? ll draw on my 9 years of experience at Amazon and IMDb to guide you through what matters, and what doesnâ??. Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. Itâ?? s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. You won't find academic, deeply mathematical coverage of these algorithms in this course - the focus is on practical understanding and application of them. At the end, you'll be given a final project to apply what you've learned! The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech employers. We'll cover the machine learning, AI, and data mining techniques real employers are looking for, including: Deep Learning / Neural Networks (MLP's, CNN's, RNN's) with TensorFlow and Keras Data Visualization in Python with MatPlotLib and Seaborn Transfer Learning Sentiment analysis Image recognition and classification Regression analysis K-Means Clustering Principal Component Analysis Train/Test and cross validation Bayesian Methods Decision Trees and Random Forests Multiple Regression Multi-Level Models Support Vector Machines Reinforcement Learning Collaborative Filtering K-Nearest Neighbor Bias/Variance Tradeoff Ensemble Learning Term Frequency / Inverse Document Frequency Experimental Design and A/B Tests Feature Engineering Hyperparameter Tuning ... And much more! There's also an entire section on machine learning with Apache Spark , which lets you scale up these techniques to "big data" analyzed on a computing cluster. And you'll also get access to this course's Facebook Group , where you can stay in touch with your classmates. If you're new to Python, don't worry - the course starts with a crash course. If you've done some programming before, you should pick it up quickly. This course shows you how to get set up on Microsoft Windows-based PC's, Linux desktops, and Macs. If youâ?? re a programmer looking to switch into an exciting new career track, or a data analyst looking to make the transition into the tech industry â?? this course will teach you the basic techniques used by real-world industry data scientists. These are topics any successful technologist absolutely needs to know about, so what are you waiting for? Enroll now! "I started doing your course in 2015... Eventually I got interested and never thought that I will be working for corporate before a friend offered me this job. I am learning a lot which was impossible to learn in academia and enjoying it thoroughly. To me, your course is the one that helped me understand how to work with corporate problems. How to think to be a success in corporate AI research. I find you the most impressive instructor in ML, simple yet convincing." - Kanad Basu, PhD
Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.
The course covers the way team works in big data companies, some challenges and opportunities that big data offers. You will also learn how big data is driving organizational change and the main challenges companies face when trying to analyze massive data sets. Besides, some fundamental techniques like big data stack, data mining and stream processing. In this training program, you will come across a number of tools for working with big data. It also lets you learn the technique of storing, processing and deploying in an enterprise scenario. You will gain a deep knowledge of what insights big data can offer through hands-on experience with the tools used by big data experts. At the end of the course, you will have a better understanding of the different applications of big data in industry.
Big Data is a popular term nowadays and it refers to extremely large sets of data that can be analysed by organisations to reveal patterns, trends or behaviour patterns of customers or a certain demographic. Hadoop is a programming framework based on Java that helps in the processing of Big Data. Big Data Hadoop Administrators are associated with implementation and support of the Enterprise Hadoop environment. This Big Data Hadoop Administrator Certification course provides high-quality instruction-led training and is designed to ensure that the candidates are job ready. In addition to real-life industry projects, the course equips the learners with skills like provisioning, installing, configuring, monitoring, maintaining and securing Hadoop and Hadoop Eco system components. On the successful completion of this course, an experience certificate in Hadoop Administrator is provided.
Hadoop, a part of Apache Software Foundation, is an open-source, Java-based programming framework that supports processing and storage of large data sets. | This Hadoop Administration course offers training to candidates on skills required to manage and maintain Hadoop clusters | The course has been developed by expert professionals and is aimed to providing the learners with the knowledge to become successful Haddop Administrators | It covers various areas like Hadoop architectures, its components, and monitoring and troubleshooting a Hadoop cluster | A course certification will provided to the candidates and will help in boosting the career of the candidates
Hadoop is an Apache project (i.e. an open source software) to store & process Big Data. Hadoop stores Big Data in a distributed & fault tolerant manner over commodity hardware. Afterwards, Hadoop tools are used to perform parallel data processing over HDFS (Hadoop Distributed File System) | As organisations have realized the benefits of Big Data Analytics, so there is a huge demand for Big Data & Hadoop professionals. Companies are looking for Big data & Hadoop experts with the knowledge of Hadoop Ecosystem and best practices about HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop & Flume | Edureka Hadoop Training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop Ecosystem. This Hadoop developer certification training is stepping stone to your Big Data journey and you will get the opportunity to work on various Big data projects.
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!
Our course has been designed from the ground up to help you become an expert in Big Data, Hadoop and EC2 instance. But it doesnâ€™t stop there, you will learn a few other technologies as well that can help you master big data including HDFS architecture, Map Reduce, Apache Hive and even Apache Pig. | The course includes the right balance of theory meets practical, allowing you to understand the real-world implications of using these technologies. At the end of this course, you will have the knowledge as well as the confidence to start tackling big data projects. | Hadoop is the more popular solution to big data. This open-source software framework is dedicated to storage and processing of big data sets using the MapReduce programming model. What it basically does is split files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel. This simplifies the process of sorting and processes data faster and more efficiently.
Our Data Science Architect master's course lets you gain proficiency in Data Science. You will work on real-world projects in Data Science with R, Apache Spark, Scala, Deep Learning, Tableau, Data Science with SAS, SQL, MongoDB and more. In this program, you will cover 12 courses and 48 industry-based projects with 1 CAPSTONE project. As a part of online classroom training, you will receive five additional self-paced courses co-created with IBM namely Deep Learning with TensorFlow, Build Chatbots with Watson Assistant, R for Data Science, Spark MLlIb, and Python for Data Science. Moreover, you will also get an exclusive access to IBM Watson Cloud Lab for Chatbots course.
It is necessary to have expert software skills to become a high-valued professional in the IT industry. As the industry is evolving fast, professionals need to remain up-to-date with the latest technologies while being proficient in the popular ones. If you have a comprehensive skill set, you can get a chance to work with some of the top organisations in the industry. | This Software Master Subscription course for 12 months provides a holistic learning approach to candidates who want to become experts in the IT industry. | The course provides high-quality learning modules that cover major technologies and tools across multiple domains in the IT industry. | Some of the prominent course areas are cloud computing, programming languages, mobile app development, graphic designing, networking, data analytics and business skills. | Candidates will have complete access to all the included courses for the whole course duration.
One of the most demanding skills in IT, Vskills Certified Linux Administrator Government Certification tests the applicants on scores of areas in Enterprise Linux release 6 which encompass management, configuration and installation of various facilities and services. Whether you are looking to make a career in IT or brushing up your IT skills, take up this course to start a new career.
Designed keeping in mind the needs of the new demand for strong analytics professionals, Data Scientist Masters program is equipped with all the conceptual and technical knowledge required in the analytics industry. This course also renders access to elearning content, resources, simulation exams and things that make certain the path to nurture your dream position of data scientist. Not only you gain strong analytic skill but business analytics and most in demand technologies like Python, R and SAS. Data scientist jobs are in great demand and perfect field for career.