|Course or Certification Name||Category||Location||Mode of learning|
|Machine Learning with Python Training||Machine Learning||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Clustering & Classification With Machine Learning in Python||Machine Learning||24/7 Anywhere||Online self study|
|Data Science Online Training Course||Data Scientist||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Machine Learning Advance certification Training||Machine Learning||Online Classroom|
|Post Graduate Program in Data Science and Machine Learning||Data Scientist||Classroom|
|Big Data and Machine Learning Prodegree||Big Data||Online Classroom|
|Internet of Things Intermediate Online Instructor led certification||Internet of Things||Online Classroom|
|Big Data Hadoop Expert Program - Online Classroom||Big Data||Online Classroom|
|All in One Python Development Suite||Emerging Web Technologies||24/7 Anywhere||Online self study|
|The Deep Learning Masterclass: Classify Images with Keras!||Machine Learning||24/7 Anywhere||Online self study|
|Python Programming Learn Python with 100+ Practicals||Emerging Web Technologies||24/7 Anywhere||Online self study|
|Tableau (Online Classroom-Flexi Pass)||Tableau||Online Classroom|
|Unity Machine Learning with Python!||Machine Learning||24/7 Anywhere||Online self study|
|Mathematical Foundation For Machine Learning and AI||Machine Learning||24/7 Anywhere||Online self study|
|Certified Data Scientist Expert - Online Classroom||Data Scientist||Online Classroom|
Machine Learning with Python course discusses concepts of the Python language such as file operations, sequences, object-oriented concepts, etc. along with some of the most commonly leveraged Python libraries like Numpy, Pandas, Matplotlib, etc. The course will then move on to introduce learners to the detailed mechanisms of Machine Learning. Learners will understand in detail the significance of the implementation of Machine Learning in the Python programming language, and leverage this knowledge in their role as data scientists. | After completing the course, one would have learnt about tools to train machines based on real-world situations using Machine Learning algorithms, as well as to create complex algorithms based on concepts related to deep learning and neural networks. During the latter stage of the course, learners will be introduced to real-world use cases of Machine Learning with Python for a holistic learning experience which would prepare them to create applications efficiently.
This course covers main aspect of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.
Data Science or data-driven science is that field that enables one to extract insights from data using scientific processes. Data Science Online Training course enables you to understand the practical foundations, analyse and execute Big Data to Data Analytics projects. This course also covers advanced analytic methods and tools like MapR and Hadoop. It allows students to understand the applications of these methods and tools by getting hands-on experience working alongside real time data scientists.
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.
The University of Chicago Graham School and Jigsaw Academy, India’s top online school for analytics, together provide students with the superior training necessary to draw insights from real data and to apply analytical skills to solve real problems with the launch of the Integrated Program in Data Science and Machine Learning (IDM). IDM is highly applied in nature, integrating business strategy, project-based learning, simulations, case studies, and specific electives addressing the analytical needs of various industry sectors. | This program is a blend of in-person and online classes that will include hands-on learning in the Jigsaw Lab and projects & seminars by industry leaders. All the in-person sessions will be held in Bangalore, India. The content and curriculum for the course have been jointly designed by lecturers from UChicago and industry experts from Jigsaw Academy.
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.
IoT extends the Internet from mostly used devices like desktop and portable computers, Smartphones and tablets to various variants of devices and everyday things that utilize embedded technology to speak and act with the external surroundings, all via net. Learn how you can derive deep business insight from the Internet of Things (IoT) while boosting your skills from Collabera TACT and be future ready. By 2020 the number of devices connected is predicted to reach a whopping 25 Billion across the globe. With such great magnitude of work being done in the field, IoT has become one of the hottest skills for job seekers in recent times. Programmers, Developers, Engineers and Network Experts are believed to be the primary beneficiaries of IoT.
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. | Mastering Hadoop and related tools: The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. | Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. | The ‘Impala-an Open Source SQL Engine for Hadoop’ is an ideal course package for individuals who want to understand the basic concepts of Massively Parallel Processing or MPP SQL query engine that runs on Apache Hadoop. On completing this course, learners will be able to interpret the role of Impala in the Big Data Ecosystem. | MongoDB Developer and Administrator certification from Simplilearn would equip you to master the skills to become MongoDB experienced professional. By going through this MongoDB training you would become job ready by mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment. | Apache Kafka is an open source Apache project. It is a high-performance real-time messaging system that can process millions of messages per second. It provides a distributed and partitioned messaging system and is highly fault tolerant.
Python Development Suite is a comprehensive training program that entails Python Programming for Beginners, Python Game Development for create a Flappy Bird Clone and Python Django from Scratch. As the python syntax is clear and readable both beginners as well as experts can understand its code and get productive within a short span of time.
The Deep Learning Masterclass: Classify Images with Keras is an interactive course that is designed to help a beginner turn into a data modeler. The course starts with basic concepts of Keras and goes to the advanced concepts of machine learning and neural networks. The participants will also get to build their image classifier model from scratch.
In this course, we have designed a detailed course to become your guide. You will learn the techniques and concepts of Python programming, giving you the information and the skills you need to boost your programming skills and learn Python.
Tableau Desktop 9 is a prominent and fastest evolving Business Intelligence and data visualisation tool, developed by Tableau Software. The tool helps to see and understand data in simple and easy steps. This, Tableau (Online Classroom-Flexi Pass), course offers instructor-led online training and high quality e-learning content to the candidates to ensure that they are ready to take up a job assignment requiring Tableau Desktop expertise after the completion of this course. Apart from that, the course offers hands-on lab exercises, hands-on industry projects and simulation exams of Tableau Desktop 9 Qualified Associate certification. Specifically designed to give the candidates a career boos, the course covers all topics related to Tableau such as visualisation building, analytics and dashboards.
In this course we will train an artificial brain to make the game work. No matter where the present falls, the computer will know exactly how get it.
Learn Machine Learning By Building Projects is a comprehensive programme. This programme helps you to understand the complex concepts of machine learning through mathematics and algorithms. This course will give you a deeper knowledge of mathematics that will help you to build algorithms and networks for your upcoming machine learning and artificial intelligence (AI) projects. The course is divided into three sections, including – | Linear Algebra: This helps to describe the parameters and structure of different machine learning algorithms. Linear Algebra also gives an insight of how neural networks should be put together and operate. | Multivariate Calculus: This helps in learning the subject in an easier manner with the help of examples and parameters of different models for better performance. | Probability Theory: This topic covers key probability distributions, useful in designing deep learning or AI algorithms. | The course also includes some projects and quizzes, which help to understand the mathematical concepts better. The mode of learning is online self-study.
The Data Scientist Masters Program has been designed keeping in mind the requirements of the new wave of demand for strong analytics professionals. It equips you with all the conceptual and technical skills required for the ultimate position in the analytics industry. The program provides access to high quality eLearning content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your dream role of Data Scientist. | The course introduces the participant to business analytics using excel and then slowly transitions us to the most in-demand analytics technologies – R, SAS and Python– and teaches implementation of various data science concepts such as data exploration, visualization, and hypothesis testing. Special focus has been placed on predictive analytics like regression, clustering, and smoothening techniques. The entire learning experience is tied together with demos and a final project. | After completing all aspects of the training you will be well placed to take up the role of data scientist with the analytics team of your target organization.