|Course or Certification Name||Category||Location||Mode of learning|
|Big Data and Machine Learning Prodegree||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data Fundamentals||Big Data||Online self study|
|Big Data Marketing Perspective||Online self study|
|Big Data Sales Perspective||Sales Management||Online self study|
|Big Data Strategic Planning||Strategic Management||Online self study|
|Big Data - The Legal Perspective||Business Law||Online self study|
|Big Data Engineering Perspectives||Big Data||Online self study|
|Big Data Corporate Leadership Perspective||Leadership||Online self study|
|Big Data and Hadoop Spark Developer Training||Big Data||Online self study|
|AWS Certified Big Data Specialty 2020 - In Depth & Hands On!||Cloud Computing||Online self study|
|Taming Big Data with Apache Spark 3 and Python - Hands On!||Data Science||Online self study|
|PG Program in Big Data Engineering||Big Data||Offline self study|
|PG Certificate Program in Big Data & Analytics||Big Data||Offline self study|
|Foundations for Big Data Analysis with SQL||Big Data||Online self study|
|Executive Development Program In Business Analytics And Big Data||Business Analytics||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
The Big Data and Machine Learning Prodegree, in association with IBM as the EdTech Partner, is a first-of-its-kind 160-hour certification course providing in-depth exposure to Data Science, Big Data, Machine Learning and Deep Learning. The rigorous industry-aligned curriculum offers a comprehensive understanding of Python, Spark and Hadoop for careers in Machine Learning and Big Data. The program also features seven industry projects and periodic interaction with industry leaders in the Machine Learning Ecosystem.
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 dramatically impacts all aspects of business culture. Companies need to evolve from their traditional methods and practices to be able to use big data to improve their organization. In this course we will examine the impacts of big data from the marketing perspective. we will look at how the mobile effect has changed marketing, how purchasing habits have changed and what impact datafying consumer behavior has done.
Big Data allows salespeople to adopt data-driven methodologies to target high-value prospects rather than relying on relationships and other soft factors to target and close business deals. In this course, you will learn the difference between big data and data science. You will take a look at different algorithms and technology accelerators.
In order to adopt Big Data, senior leadership must be able to establish investment priorities, balance speed and cost, and ensure acceptance by the front line. But they must also build a plan based on data, analytic models, and tools. In this course, you will compare scaling up to scaling out, identify different analytical models, and learn how to secure funding for data initiatives.
By proactively dealing with privacy issues, organizations can safely leverage Big Data while still retaining customers, and avoiding reputational harm, litigation, and regulatory scrutiny. In this course, you will examine privacy concerns, how data can be used ethically, and what to do about social media.
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.
Big data leaders must have skill sets that differ from what leaders of the past had. They must be able to show how big data generates value; how investments in big data initiatives should be targeted; and how fast the organization should move to implement them. In this course, you will learn how to create a governance strategy, examine security concerns, and realize how this will impact human resources.
Big Data has become increasingly popular with the need to analyse large sets of data and big data professionals are in great demand. This course is aimed at providing valuable technical skillsin Big Data and Hadoop for professionals who are seeking real-world experience to deal with big data. This certification course will help learners to be job-ready in the big data industry. With quality online content, this course prepares the candidates with real life projects. The training not only equips the learners with necessary skills in Hadoop but also provides the necessary work experience in the field through real life projects. Candidates can take the advantage of the learning materials and assignments that the course provides.
[v2020: The course is fully updated today and will be kept up-to-date all of 2020, including for the new AWS Certified Data Analytics - Specialty DAS-C01 exam revision (the update will be provided for free in this course). Happy learning! ] The AWS Certified Big Data Specialty Exam is one of the most challenging certification exams you can take from Amazon. Passing it tells employers in no uncertain terms that your knowledge of big data systems is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the big data technologies on the exam and how they fit together. Best-selling Udemy instructors Frank Kane and StÃ?Â©phane Maarek have teamed up to deliver the most comprehensive and hands-on prep course we've seen. Together, they've taught over 300,000 people around the world. This course combines StÃ?Â©phane's depth on AWS with Frank's experience in Big Data, gleaned during his 9-year career at Amazon itself. Both Frank and StÃ?Â©phane have taken and passed the exam themselves on the first try. The world of big data on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are: Streaming massive data with AWS Kinesis Queuing messages with Simple Queue Service ( SQS ) Wrangling the explosion data from the Internet of Things (IOT) Transitioning from small to big data with the AWS Database Migration Service (DMS) Storing massive data lakes with the Simple Storage Service ( S3 ) Optimizing transactional queries with DynamoDB Tying your big data systems together with AWS Lambda Making unstructured data query-able with AWS Glue Processing data at unlimited scale with Elastic MapReduce , including Apache Spark , Hive , HBase , Presto , Zeppelin , Splunk , and Flume Predicting values and classifications with the Amazon Machine Learning Service Applying neural networks at massive scale with Deep Learning, MXNet, and Tensorflow Applying advanced machine learning algorithms at scale with Amazon SageMaker Analyzing streaming data in real-time with Kinesis Analytics Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service Querying S3 data lakes with Amazon Athena Hosting massive-scale data warehouses with Redshift and Redshift Spectrum Integrating smaller data with your big data, using the Relational Database Service ( RDS ) and Aurora Visualizing your data interactively with Quicksight Keeping your data secure with encryption, KMS , HSM , IAM , Cognito , STS , and more Throughout the course, you'll have lots of opportunities to reinforce your learning with hands-on exercises and quizzes . And when you're done, this course includes a practice exam that's very similar to the real exam in difficulty, length, and style - so you'll know if you're ready before you invest in taking it. We'll also arm you with some valuable test-taking tips and strategies along the way. Big Data is an advanced certification, and it's best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners. You want to go into the AWS Certified Big Data Specialty Exam with confidence, and that's what this course delivers. Hit the enroll button , and we're excited to see you in the course... and ultimately to see you get your certification!
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.
The program aims to prepare aspirants for engineering/ development roles in the Big Data Industry. Learners who pursue this program will acquire the requisite skills in Computer Science and Data Engineering needed by the industry for the development of Big Data Applications. Additionally, learners will also acquire skills of technical Problem Solving
The program aims to prepare aspirants for Development/ Analytical roles in the Big Data industry. Learners who pursue this program will acquire the requisite skills in Computer Science and Data Engineering needed by the industry for the development of Big Data Applications. Additionally, learners will also acquire skills of technical problem-solving
In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.
This big data analytics course will help the participants to apply the concepts of big data analytics and statistical applications to varied aspects of managerial decision making. Participants understand how big data technologies and data mining techniques enable data driven decisions. Participants will learn to apply popular and contemporary technologies in big data ecosystem and statistical packages for applications such as predictive analytics, social network analytics, sentiment analytics, market segmentation. Participants will also learn about production grade analytics and best practices using open-source programming language and machine learning frameworks. This Online Certification Course will benefit participants interested in a career in data science, analytics and consulting careers.