|Course or Certification Name||Category||Location||Mode of learning|
|Big Data Hadoop Architect Masters Program||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Complete 2020 Data Science & Machine Learning Bootcamp||Machine Learning||Online self study|
|Complete Machine Learning and Data Science: Zero to Mastery||Machine Learning||Online self study|
|Mastering Data Structures & Algorithms using C and C++||Web Technologies||Online self study|
|Computer Hacking Forensic Investigator Certification||Ethical Hacking||Online self study|
|Post Graduate Program in Data Science and Machine Learning||Data Science||Blended Classroom|
|Data Structures & Algorithms !||Relational Databases||Online self study|
|Intro to Computer Science||Web Technologies||Online self study|
|Apache Hadoop and MapReduce Essentials||Big Data||Online self study|
|Big Data Analytics and Artificial Intelligence (AI): Strategic and Actionable Insights||Big Data||Classroom|
|Data Scientist Master's program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data Engineer Course||Big Data||Offline self study|
|Edureka Data Analytics with R Certification Training||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data Expert||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|The Ultimate Hands-On Hadoop - Tame your Big Data!||Big Data||Online self study|
Big Data Hadoop Architect Program is a certification course that would help you build strong skill set in areas like Hadoop Development, Real time processing using Spark, and NoSQL database technology and transform you into a Hadoop Architect Expert. You would also be gain practical experience by implementing real life industry projects in the required Hadoop technologies.
Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science. At over 40+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery . Here's why: The course is a taught by the lead instructor at the App Brewery, London's leading in-person programming bootcamp . In the course, you'll be learning the latest tools and technologies that are used by data scientists at Google, Amazon, or Netflix. This course doesn't cut any corners, there are beautiful animated explanation videos and real-world projects to build. The curriculum was developed over a period of three years together with industry professionals, researchers and student testing and feedback. To date, we've taught over 200,000 students how to code and many have gone on to change their lives by getting jobs in the industry or starting their own tech startup. You'll save yourself over $12,000 by enrolling, but get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming bootcamp. We'll take you step-by-step through video tutorials and teach you everything you need to know to succeed as a data scientist and machine learning professional. The course includes over 35 hours of HD video tutorials and builds your programming knowledge while solving real-world problems. In the curriculum, we cover a large number of important data science and machine learning topics, such as: Data Cleaning and Pre-Processing Data Exploration and Visualisation Linear Regression Multivariable Regression Optimisation Algorithms and Gradient Descent Naive Bayes Classification Descriptive Statistics and Probability Theory Neural Networks and Deep Learning Model Evaluation and Analysis Serving a Tensorflow Model Throughout the course, we cover all the tools used by data scientists and machine learning experts, including: Python 3 Tensorflow Pandas Numpy Scikit Learn Keras Matplotlib Seaborn SciPy SymPy By the end of this course, you will be fluently programming in Python and be ready to tackle any data science project . We'll be covering all of these Python programming concepts: Data Types and Variables String Manipulation Functions Objects Lists, Tuples and Dictionaries Loops and Iterators Conditionals and Control Flow Generator Functions Context Managers and Name Scoping Error Handling By working through real-world projects you get to understand the entire workflow of a data scientist which is incredibly valuable to a potential employer. Sign up today, and look forward to: 178+ HD Video Lectures 30+ Code Challenges and Exercises Fully Fledged Data Science and Machine Learning Projects Programming Resources and Cheatsheets Our best selling 12 Rules to Learn to Code eBook $12,000+ data science & machine learning bootcamp course materials and curriculum Don't just take my word for it, check out what existing students have to say about my courses: One of the best courses I have taken. Everything is explained well, concepts are not glossed over. There is reinforcement in the challenges that helps solidify understanding. I'm only half way through but I feel like it is some of the best money I've ever spent.-Robert Vance I've spent Â£27,000 on University..... Save some money and buy any course available by Philipp! Great stuff guys.-Terry Woodward "This course is amazingly immersive and quite all-inclusive from end-to-end to develop an app! Also gives practicality to apply the lesson straight away and full of fun with bunch of sense of humor, so it's not boring to follow throughout the whole course. Keep up the good work guys!" - Marvin Septianus Great going so far. Like the idea of the quizzes to challenge us as we go along. Explanations are clear and easy to follow-Lenox James Very good explained course. The tasks and challenges are fun to do learn an do! Would recommend it a thousand times.-Andres Ariza I enjoy the step by step method they introduce the topics. Anyone with an interest in programming would be able to follow and program-Isaac Barnor I am learning so much with this course; certainly beats reading older Android Ebooks that are so far out of date; Phillippe is so easy any understandable to learn from. Great Course have recommended to a few people.-Dale Barnes This course has been amazing. Thanks for all the info. I'll definitely try to put this in use. :)-Devanshika Ghosh Great Narration and explanations. Very interactive lectures which make me keep looking forward to the next tutorial-Bimal Becks English is not my native language but in this video, Phillip has great pronunciation so I don't have problem even without subtitles :)-Dreamerx85 Clear, precise and easy to follow instructions & explanations!-Andreea Andrei An incredible course in a succinct, well-thought-out, easy to understand package. I wish I had purchased this course first.-Ian REMEMBERÂ¦ I'm so confident that you'll love this course that we're offering a FULL money back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risks and EVERYTHING to gain. So what are you waiting for? Click the buy now button and join the world's best data science and machine learning course.
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!
You may be new to Data Structure or you have already Studied and Implemented Data Structures but still you feel you need to learn more about Data Structure in detail so that it helps you solve challenging problems and used Data Structure efficiently. This 53 hours of course covers each topic in greater details, every topic is covered on Whiteboard which will improve your Problem Solving and Analytical Skills. Every Data Structure is discussed, analysed and implemented with a Practical line-by-line coding . Source code for all Programs is available for you to download About Instructor I am the Instructor of this course, I have been teaching this course to university students for a long period of time, I know the pulse of students very well, I know how to present the topic so that itâ€š s easy to grasp for students. I know how to use White board to explain the topic and also to make it memorable. Remembering the thing and using them in right place is more important than just understanding the topic . After Completing Course After completing this course you will be confident enough to take up any challenging problem in coding using Data Structures. Course Contents 1. Recursion 2. Arrays Representation 3. Array ADT 4. Linked List 5. Stack 6. Queues 7. Trees 8. Binary Search Tree 9. AVL Trees 10. Graphs 11. Hashing Technique
Computer hacking forensic investigation is the process of detecting hacking attacks and properly extracting evidence to report the crime and conduct audits to prevent future attacks. | Computer crime in todayâ€™s cyber world is on the rise. Computer Investigation techniques are being used by police, government and corporate entities globally and many of them turn to EC-Council for our Computer Hacking Forensic Investigator CHFI Certification Program.
Designed to give students a comprehensive analytics education with a combination of online and in-person sessions, projects and seminars by industry leaders and hands-on learning in the Jigsaw Lab, PGPDM has already made a significant impact, being ranked #2 in the Ã¢Â€Â˜Top 10 Executive Data Sciences Courses in IndiaÃ¢Â€Â™ by Analytics India Magazine for 2017 & 2018. | Comprehensive data science and machine learning education
Hey Friends, This course is for all those people who want to learn data structure and Algorithm from absolute basic to Intermediate level. We don't expect you to have any prior knowledge on Data Structure or Algorithm, but a basic prior knowledge of Java will be helpful. Thanks for stopping by !
In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices. Youâ€™ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. Youâ€™ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. Youâ€™ll define and document your own custom functions, write scripts, and handle errors. Lastly, youâ€™ll learn to find and use modules in the Python Standard Library and other third-party libraries.
A set of algorithms for distributed processing of large data sets on computer clusters built from commodity hardware dubbed as Apache Hadoop. This course provides an introduction on the basic concepts of cloud computing with the help Apache Hadoop, Big Data and cloud computing. It also includes high-level information about operation, concepts, architecture and Hadoop ecosystem. MapReduce programming used for processing parallelizable issues across huge datasets. The course will take you through basics of programming in MapReduce and Hive. This training program is packed with case studies and real-life projects so that you gain a complete knowledge of apache Hadoop and MapReduce.
Big Data technologies have made it possible for companies to obtain newer and deeper insights into market behavior trends and preferences compared to what traditional analytics provided. With increase in the volume, variety and velocity of data being stored, collectively known as 3Vs, a large number of new data science techniques for carrying out predictive analytics on them have been developed. This program sensitizes participants on how companies can harness the potential of Big Data analytics to make more informed decisions, conduct various activities in radically different ways and create value and business growth. The program enables participants to diagnose business problems captured in structured and unstructured data, conduct in-depth analysis of the external as well as the internal environment and understand how best to generate strategic business insights that leverage Big Data analytics. It introduces participants to Big Data technologies like predictive analytics, information retrieval, Hadoop, MapReduce, etc. The program aims to raise awareness of participants about the challenges of leadership in visioning and managing Big Data projects and creating sustainable impact on a firmâ€™s operations and performance.
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.
This Big Data Engineer Masterâ€™s Program in collaboration with IBM provides training on the popular skills required for a successful career in data engineering. Master the Hadoop Big Data framework, leverage the functionality of Apache Spark with Python, simplify data lines with Apache Kafka and use the database management tool MongoDB to store data.
Data Analytics with R training will help you gain expertise in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis and using R Studio for real life case studies on Retail, Social Media.
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.
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