Online Course in Information Systems in Asia

Top Online Courses in Information Systems 2017 in Asia

Information Systems

Asia is the world's largest and most populous continent, located primarily in the eastern and northern hemispheres. It covers 8.7% of the Earth's total surface area and comprises 30% of its land area.

Course Online in Information Systems in Asia

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Course: Big Data Analytics - Business Analyst

361 Degree Minds
Online Full time 232 hours July 2017 India India Online

Are you looking to build a career in Big Data Analytics? Every professional working in the corporate environment must think of their way to the next position. If you are interested in Big Data Analytics then you must retool your skills to be a part of the Big Data space. [+]

Top Online Courses in Information Systems in Asia. Course: Big Data Analytics - Business Analyst Career transition to Big Data Analytics: Are you looking to build a career in Big Data Analytics? Every professional working in the corporate environment must think of their way to the next position. If you are interested in Big Data Analytics then you must retool your skills to be a part of the Big Data space. This industry requires some basic qualities like a strong grounding in mathematics, familiarity with programming languages, understanding the logic of analytical modelling, content knowledge and above all an inherent sense of curiosity. 361DM career transition programs are designed to identify the skills you need to transition to an analytics career. Get trained by industry thought leaders in Big Data Analytics with focus on solving real corporate problems. Interested in Transformation to Big Data Analytics Career Path? Do you want a role which requires you to derive insights from data? Do you like to find a story in data? 361DM Big Data Analytics course are crafted to identify the skills in you to transform you into Big Data Analytics professional. According to Forbes, Big Data is becoming a movement. Every enterprise is going to take the advantage of Big Data Analytics. According to IDC, the Big Data market is predicted to be worth $46.34 billion by 2018. The global Hadoop market is forecast to grow at a CAGR of 59.37% during the period 2016-2020, according to Business Wire. Hadoop, a cost effective technology is faster than the conventional data analysis tools such as Relational Database Management Systems (RDBMS). R, the open source statistical software is used to tackle problems in data analysis. The data analysis is done using statistical concepts and mathematical modelling. With 361DM learn to implement Big Data Analytics to products, operations, marketing and consumer experience problems in industries like in retail, automobile, banking & financial services and healthcare. The path to Big Data Analytics......What it takes to be ‘The’ professional? Now, you know why Big Data Analytics is a good career transition. But before you go too far, make sure you have the required skills in you. Are you analytical in nature? Are you a problem solver? Make sure you have the basic quality of thinking analytically. 361DM offers Data Executive course to give you an idea of the skills required for Big Data Analytics. Some professionals try to enter into a new industry when they make the transition into the analytics. This move will reduce the chances of you finding a job. Look for an analyst job in the industry you have experience in. Once you are placed in an analytics role successfully and after gaining experience, you can think of moving to the industry you want to be in. Leaving your current job to make the career transition is not the right option, as finding a new job can take time and adding pressure on you unnecessarily. 361DM training programs offers the convenience of ‘Anytime Anywhere’ & disruptive value proposition to the corporate workforce. Do you want a career transition for an attractive paycheck? Big Data Analytics is the answer. In this information age, the technology to store data is increasing exponentially. Every company needs to make decisions from data. These decisions determine a company’s existence. Those who can control access to data, understand data and interpret data will have an edge in the near future, thereby leading to better paychecks. The demand for Big Data Analytics professional is high at the moment. The difficulty in finding the data scientist is growing up from 79% to 83% according to CrowdFlower survey. Companies are willing to shell out big bucks to find a person with adequate knowledge in Big Data skills. Thanks to the shortage of Big Data professionals. With the right mix of technical skills and personal skills, you will be the sought after Big Data professional. 361DM has cutting edge courses created by industry thought leaders to get you your dream job. Why 361 Degree Minds? 361 Degree Minds, a premier career building institute led by team of BITS Alumni with in-depth domain knowledge. Our courses are industry relevant and crafted by Big Data Analytics Industry veteran, Mr. Suresh Krishnaswamy who has developed similar programmes for IIT and Great Lakes. He has worked with companies Like IBM, EDS & Cognizant. 361DM makes you industry ready as the courses focus on three industry relevant aspects – 1) Technical skills like Hadoop and R 2) Better understanding of the business requirements 3) Knowledge of Data Science – statistical inference, mathematical modelling and data visualisation. 361DM experts focus on upskilling thereby providing one-on-one assistance to help you identify your target jobs, spruce up your resume and prep for the analytics interview. 361DM offers program variant giving Placement Assurance for select students. Receive constant guidance from our experienced faculty on job applications. For assistance, check your eligibility with career consultant. Program Suggestion Program Name: Business Analyst Program designed for: Freshers /Experienced Eligibility: Mcom, Msc- Stats, Maths /MBA Eligibility Process: NA Duration: 212 Hours Fees: 825 USD Installment pattern available (Y/N): Yes Program Outcome: To provide complete knowledge about Big Data by covering advanced concepts like R , GGPLOT, Line, Bar and Scatter with GGPLOT2 and Text mining. [-]

Data Science Certification Training

Online Full time Part time 15 days Open Enrollment India India Online + 1 more

This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. [+]

About The Course This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. Course Objectives After the completion of the Data Science course, you should be able to: Gain insight into the 'Roles' played by a Data Scientist Analyse Big Data using R, Hadoop and Machine Learning Understand the Data Analysis Life Cycle Work with different data formats like XML, CSV and SAS, SPSS, etc. Learn tools and techniques for data transformation Understand Data Mining techniques and their implementation Analyse data using machine learning algorithms in R Work with Hadoop Mappers and Reducers to analyze data Implement various Machine Learning Algorithms in Apache Mahout Gain insight into data visualization and optimization techniques Explore the parallel processing feature in R Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: Developers aspiring to be a 'Data Scientist' Analytics Managers who are leading a team of analysts SAS/SPSS Professionals looking to gain understanding in Big Data Analytics Business Analysts who want to understand Machine Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics 'R' professionals who want to captivate and analyze Big Data Hadoop Professionals who want to learn R and ML techniques Analysts wanting to understand Data Science methodologies Pre-requisites There is no specific pre-requisite for the course however exposure to core Java and mathematical aptitude will be beneficial. Edureka will provide you complementary self paced courses covering essentials of Hadoop, R and Mahout to brush up the fundamentals required for the course. Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. The following blogs will help you understand the significance of Data Science training: Which Case-Studies will be a part of the Course? Towards the end of the Course, you will be working on a live project. Here are the few Industry-wise case studies e.g. Finance, Retail, Media, Aviation, Sports etc. which you can take up as your project work: Project#1: Flight Delay Prediction Industry : Aviation Description : The goal of this project is to predict the Arrival Time of a flight given the parameters like:"UniqueCarrier", "DepDelay", "AirTime", "Distance", "ArrDelay", etc. Whether these attributes affect the arrival delay and if yes, to which extent? Construct a model and predict the arrival delay. Compute the (Source Airport - Destination Airport) mean scheduled time, actual and inflight time with the help of MapReduce in R and visualize the results using R. Project #2: Stock Market Prediction Industry : Finance Description : This problem is about making predictions on the stock market data.The dataset contains the daily quotes of the SP500 stock index from 1970-01-02 to 2009-09-15 (10,000+ daily sessions). For each day information is given on the Open, High, Low and Close prices, and also for the Volume and adjusted close price. Project #3: Twitter Analytics Industry : Social Media Description : This problem is about social media analytics. This can be defined as Measuring, Analyzing, and Interpreting interactions and associations between people, topics and ideas. The dataset to be analyzed is captured by Live Twitter Streaming. This problem is mainly about how to use twitter analytics to find meaningful data by performing Sentiment analysis of the tweets obtained and visualizing the conclusions. Project #4: Recommendation System Industry : e-commerce Description : The problem of creating recommendations given a large data set from directly elicited ratings is a widely potential area which was lately boosted by players like Amazon, Netflix, Google to name a few. In this project, you are given a collection of real world data from the different users involving the products they like, rating assigned to the product, etc. and you have to create and come up with recommendations for the users. Project #5: NFL Data Analysis Industry : Sports Description : The dataset is a set of tweets by fans from a NFL game. This project is about analyzing the tweets posted by football fans all over the world on the NFL tournament semi-finals and find out insights like: top 10 most popular topics being discussed, most talked about team etc. Course Features Online Classes: 30 Hrs There will be 10 instructor-led interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Assignments: 40 Hrs Each class will be followed by practical assignments which can be completed before the next class. These assignments will help you to understand the concepts taught in Data Science better. Our 24x7 expert support team is available to help you through email, phone or Live support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course to visualize and analyze data. Lifetime Access You get lifetime access to the Learning Management System (LMS). The Class recordings and presentations can be viewed online from the LMS. The installation guides, sample codes and project documents are available in downloadable format in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will work on a project. Edureka certifies you in Data Science course based on the project reviewed by our expert panel. Anyone certified by edureka will be able to demonstrate practical expertise in Data Science. [-]

HP Certified Software Testing

Online Full time 3 - 4 weeks July 2017 India Chennai

Software testing is a process used to identify the accuracy, completeness, and quality of software. Testing helps to verify and validate if the software is functioning as stated in the specification without any error. [+]

Top Online Courses in Information Systems in Asia. HP Certified Software Testing KBuffer has signed up with HP Software University as an Authorized Training Center. Course Introduction Software testing is a process used to identify the accuracy, completeness, and quality of software. Testing helps to verify and validate if the software is functioning as stated in the specification without any error. Static and Dynamic methodologies are used to test the application. Software Testing should systematically uncover different classes of errors in less time and effort. The data collected through testing can also provide an indication of the software's reliability and quality. So, what is Software Testing? According to Wikipedia, Software testing is an investigation conducted to provide stakeholders with information about the quality of the product or service under test. Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation. Test techniques include, but are not limited to, the process of executing a program or application with the intent of finding software bugs (errors or other defects). KBuffer, is one of the leading of training institute authorized by HP. HP is one of the largest companies across the world and continues to move up the ladder by offering more leading software solutions to run, manage, optimize, and secure customers' enterprise applications and data centers. The HP Software Certification programs prepare students to meet today's increasing challenges with the technical skills required to put you ahead in the Software Testing vertical. HP Software University primarily focuses on imparting training in the Software Testing domain. This includes a course that provides an introduction to Software Testing using Automation Tools and knowledge on Software Testing tools listed below: HP Application Lifecycle Management (ALM) HP Unified Functional Testing (UFT) HP LoadRunner (LR) HP Virtual User Generator (VuGen) Who can attend? Any Graduate or even Undergraduate. Where can be placed? HP has agreed to take the cream of candidates trained under this scheme themselves. In addition to that they will recommend these candidates to their clients and Other IT Majors. [-]