|Course or Certification Name||Category||Location||Mode of learning|
|Big Data Hadoop Expert||Big Data||Online self study|
|PG Diploma in Data Science (Full-time)||Data Science||Classroom|
|Big Data and Hadoop Diploma Program||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Machine Learning, Data Science and Deep Learning with Python||Data Science||Online self study|
|Vskills Certified Big Data and Apache Hadoop Developer Government Certification||Big Data||Offline self study|
|IIM Calcutta Advanced Program Data Sciences||Data Science||Classroom|
|Big Data Bootcamp||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Machine Learning Advance certification Training||Machine Learning||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big data and Hadoop||Hadoop Administration||Online self study|
|Big Data Fundamentals||Big Data||Online self study|
|Apache Hadoop Administrator||Hadoop Administration||Online self study|
|Simplilearn Data Scientist Master's Program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|PG Program in Big Data Engineering||Big Data||Offline self study|
|Big Data & Visual Analytics Program from S.P. Jain||Big Data||Classroom|
|PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
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.
PG DIPLOMA IN DATA SCIENCE FROM MANIPAL UNIVERSITY. It is a fully-residential program based in Bangalore. | Course Benefits: | Become A Data-Scientist - Launch your career in data science by mastering Data Management, Statistics, Machine-Learning and Big-Data. | Tool Based Learning - Hands on learning with tools like R, Excel , SQL, NoSQL, Hadoop, Pig, Hive , Apache Spark & Storm. | Assured Placement Assistance Assured placement assistance with leading organisations on successful completion of the course. | Industry collaborations - The course is designed in collaboration with industry leaders Genpact, Experian & Big Data University. | Best of Faculty - The course is taught by the best minds in the Analytics domain with over 15+ years of industry & analytics domain experience.
Big Data and Hadoop Diploma Program is primarily designed to acquaint students with a pervasive knowledge of the basics and as well as advanced concepts of the Hadoop eco-system. The functional benefits of Map Reduce, HBase, Zookeeper and Sqoopbs are highlighted also large-scale Data Processing using Spark Streaming integrated in program. At the end of the course, the candidates will gain in-depth knowledge of all the core concepts and techniques associated with Big Data and Hadoop | Big Data & Hadoop Market is expected to reach $99.31 Bn by 2022 growing at a CAGR of 42.1% from 2015, source: Forbes | McKinsey predicts that by 2018 there will be a shortage of 1.5 Mn data experts | Average salary of Big Data Hadoop Developers is $135 k, source: Indeed.com Salary Data.
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
Big Data extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations. Apache Hadoop is an open source software platform which was born out of the need to process and handle Big Data. A Hadoop Developer has the same role as that of a software developer but the former has also analytical and problem solving skills associated with the Big Data domain. Vskills Certified Big Data and Apache Hadoop Developer course offers extensive training to the candidates on essential skills required to become a successful Hadoop Developer, Administrator or Data Scientist professionals in the field of Big Data. This government certification tests the candidates on various areas of Hadoop platform and Big Data. The prerequisite for taking this course is knowledge of object-oriented programming like Java.
The Advanced Program in Data Sciences from IIM Calcutta will introduce participants to the different tools and techniques used for handling, managing, analyzing and interpreting data. Successful completion of the program will enable the participants to acquire a strong foundation for applying advanced quantitative and statistical tools to make most effective decisions driven by sound data analysis
Big Data bootcamp will help you build the technical skills, mindset, and networks that launch amazing careers. Jigsawâ€™s innovative curriculum features an extensive range of valuable assets including preparatory skills support and an in-person, in-class immersive experience.
This course is an advanced level training on Machine Learning application and algorithms. It will ensure you get hands on experience in multiple and highly used machine learning skills in both supervised and unsupervised learning. This machine learning training ensures you can apply machine learning algorithms like Regression, clustering, classification and recommendation.The unique case study approach ensures you are working hands on with data while you learn. Finally the course trains you in deep learning and Spark Machine learning, skills which are in great demand today.
Learn BIG DATA HADOOP Hands-on from Global Experts - Apache Hadoop, HDFS, Map Reduce, YARN, Hive, PIG, Impala, Scoop
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.
Apache Hadoop is an open source software project that enables distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with very high degree of fault tolerance. This course has been developed to provide the candidates hands-on experience on different Hadoop operations and has high quality learning modules with unlimited access for six months. Content prepared by the experts in the industry, this course covers various topics like cluster planning, installation and administration, resource management and monitoring and logging. A course completion certification is provided to the candidates, which is accepted and recognised across the world.
This Master's Program provides training in the skills required to become a certified data scientist. You'll learn the most in-demand technologies such as Data Science on R, SAS, Python, Big Data on Hadoop and implement concepts such as data exploration, regression models, hypothesis testing, Hadoop, and Spark.
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
A highly stimulating and application-based program that combines technical and business knowledge to help you provide solutions to the challenges that Information Sciences and Big Data pose on corporations in the 21st century. | BIG DATA IS NOT JUST ANOTHER FAD. In an increasingly digital world, Big Data plays a very important role in driving decisions, innovation and productivity in large multinationals, non-profits and governments. It is being used to analyze social media trends to formulate election strategy, evaluate meteorological data to predict the weather or even to analyze retail data to drive more sales. The program will be taught by eminent faculty from around the world, as well as industry professionals with extensive experience in the field of Big Data and Visual Analytics. The program will incorporate a hands-on approach with emphasis on real-world problem-solving and extensive interaction with the industry.
IMS Proschool offers a comprehensive and yet affordable program in Data Science. The program has an employment-oriented approach and is based on a detailed research of companiesâ€™ requirements. It prepares Students for roles like Business Analyst, Data Analyst and Data Scientist and is available in full time and part time modes. | Data Analytics is the science of analyzing data to find out patterns that will be helpful in developing strategies. Its usage can be found in almost every industry. Following is an indicative list of roles you can play in the analytics industry - Data engineers, Data analysts, Data Scientists, Business Analysts, Machine Learning Developers & BIG Data Analysts