|Course or Certification Name||Category||Location||Mode of learning|
|Process Mining: Data science in Action||Data Science||Online self study|
|Vskills Certified Data Mining and Warehousing Professional Government Certification||Analytics & Statistics tools||Offline self study|
|Data Science:Data Mining & Natural Language Processing in R||Data Science||Online self study|
|Taming Big Data with Apache Spark 3 and Python - Hands On!||Data Science||Online self study|
|Edureka Data Analytics with R Certification Training||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Predictive Analytics and Data Mining||Machine Learning||Online self study|
|Text Mining and Natural Language Processing in R||Data Science||Online self study|
|SPJIMR Executive Certificate Program In Big Data Analytics||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data in Education||Big Data||Offline self study|
|Big Data Fundamentals||Big Data||Online self study|
|Post Graduate Certificate in Advanced Analytics.||Business Analytics||Classroom|
|Big Data and Education||Big Data||Online self study|
|Vskills Certified Business Analytics Professional Government Certification||Business Analytics||Offline self study|
|Welingkar- Masters In Information Management (part-time)||Distance Mtech||Classroom|
|Post Graduate Certification in Data Science||Data Science||Online self study|
The course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains. | This course starts with an overview of approaches and technologies that use event data to support decision making and business process (re)design. Then the course focuses on process mining as a bridge between data mining and business process modeling. The course is at an introductory level with various practical assignments.
This government affiliated certification evaluates the candidate for an organization data mining and warehousing needs. This courses focus on various areas like designing, on Line Analytical Processing, covering data mining, planning and implementing. This course aids candidates in distinguishing todayâ€™s market, increasing opportunities by showing superb skills and result in higher earning potential. This is in demand by Integration services organizations and sectors like Telecom, Banks, IT, etc. for management and analysis.
This course will help you implement the methods using real data obtained from different sources.After taking this course, you will easily use packages like caret, dplyr to work with real data in R. You will also learn to use the common NLP packages to extract insights from text data.
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.
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.
This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.
Projects in R: Learn R Creating Data Science Projects, is an online course by Eduonix Learning Solutions that will help you to implement the methods using real data obtained from different sources. The participants will also learn to use the common social media mining and natural language processing packages to extract insights from text data.
This course introduces the concept of big data and how it can help business drive decisions, innovation and productivity. This course will help students to gain an understanding of how managers use big data analytics to draw insights, formulate and solve business problems and to support managerial decision making. | Students will also learn how to use and apply selected data analytics software. This course will benefit students who plan careers in analytics, targeted marketing, predictive modelling and strategic consulting. During the course, students will work on small projects in the area of data mining and data visualization and gain hands on experience.
Education is increasingly occurring online or in educational software, resulting in an explosion of data that can be used to improve educational effectiveness and support basic research on learning.In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data. You will learn about the methods being developed by researchers in the educational data mining, learning analytics, learning at scale, student modeling, and artificial intelligence in education communities, as well as standard data mining methods frequently applied to educational data. You will learn how to apply these methods, and when to apply them, as well as their strengths and weaknesses for different applications.
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.
The Post Graduate certificate in Business Analytics is a meticulously designed course by the institute collaboratively with the technological partners SAS. The students will be trained to apply Machine Learning in business | SAS is the leader in analytics. Through innovative analytics, BI and data management software and services, SAS helps turn your data into better decisions.The focus of the course will be to give emphasise on areas like Advanced Excel and VBA, Hadoop Spark, Python, ML regression, SAS Enterprise Miner, Data Mining etc.
Online and software-based learning tools have been used increasingly in education. This movement has resulted in an explosion of data, which can now be used to improve educational effectiveness and support basic research on learning | In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data. You will examine the methods being developed by researchers in the educational data mining, learning analytics, learning-at-scale, student modeling, and artificial intelligence communities. You'll also gain experience with standard data mining methods frequently applied to educational data. You will learn how to apply these methods and when to apply them, as well as their strengths and weaknesses for different applications | The course will discuss how to use each method to answer education research questions, and to drive intervention and improvement in educational software and systems. Methods will be covered at a theoretical level, and in terms of learning how to apply them in Python or using software tools like RapidMiner. We will also discuss validity and generalizability; establishing how trustworthy and applicable the analysis results.
This certification institutes & enhances awareness of aspirants as per the company need for analysis of business. Knowledge acquired by the certification includes decision models, data visualization, statistics, probability, predictive modeling, regression analysis, forecasting, simulation, data mining, optimization and decision analysis.
The MIM program aims to offer an edge to IT Professionals in Software Project Management, IT Consultancy and System Analysis. The curriculum focuses on a system â€“ oriented approach integrating different topics in IT and Systems such as Structural Languages, Web-based Technologies, Networking, Project Management and also management related topics like E-business, ERP, Knowledge Management, IT Strategies and CRM. | Candidates with executive experience and adequate domain knowledge find the program a perfect-fit in the context to current environment and managerial responsibilities in IT Industry. | The program i.e. MIM covers an in-depth study and understanding in International Business, Management Information Systems, Creativity and Innovation Management, Software Quality Assurance & Marketing, Software Testing, Business Intelligence and Analytics, Enterprise Resource Planning & Management, Knowledge Management Systems, Project Management, IT Infrastructural Management, Technology Competition & Strategy, Technology Forecasting, E-commerce, Data Warehousing & Data Mining
More and more businesses today are using Data Science to add value to every aspect of their operations. This has led to a substantial increase in the demand for Data Scientists who are skilled in technology, maths, and business. However, the supply has not kept pace with the demand, creating many highly paid job opportunities for Data Scientists.