It suggests that Asia will not only benefit greatly from the rise in AI technology, but will also define it. Lessons Learned From Building Practical Deep Learning Systems is uploaded by Xavier Amatrianin, the co-founder at Curai, an AI-based healthcare solution provider. And having the skills to deliver a memorable presentation is vital to any researcher. A presentation on Data Handling & Analytics which includes topics like Types of Data, Rapid Growth of Unstructured Data, What is big data, Big Data Analytics, Big data challenges and more. If you need close hand holding and guidance – an easy going MOOC is probably the best place to start. But you can also look at it as a challenge, as well as an opportunity for growth. Massive Data Analysis & Parallel Computing. This includes correcting detrimental patterns and further improving the ones that have proven to be positive and effective. Google Adwords Data – Most companies advertise via Adwords. 5 Presentation Tips for Data Analysts – Data Storytelling. THE EIGHT ESSENTIAL QUESTIONS TO ASK BEFORE A DATA PRESENTATION. Data Analysis The purpose To answer the research questions and to help determine the trends and relationships among the variables. It’s easy to think of data and statistics as the opposite of … Data Analytics is a lifeline for the IT industry right now. By using the simplest possible layout with almost zero distractions, it’s easier for either experts or newcomers to the global finance game to find the information that they’re looking for. Not many are able to put together an effective presentation that clearly explains data analytics in a user-friendly manner. Rohit is a technology journalist and technophile who likes to communicate the latest trends around cutting-edge technologies in a way that is straightforward to assimilate. 4. This classic tale of corporate misunderstanding points to a basic tenet of advertising: Use a language that your target audience is fluent with. It is one of the hot topics … 5. And indeed, by knowing up front what to look for in the entire presentation, clients or employees will be better equipped at grasping the potentially complex analytics that you’re about to show them. But almost no one else can read numbers like they do. Simply put, data analytics is the close examination of all observable data in order to draw valuable conclusions with which an organisation may improve itself. Before you start diving into any of your data or open your Powerpoint, you need to have a blueprint for your analysis. Analytics Report. PLANNING FOR DATAANALYSIS 3. The slides contain numerous charts that compare the evolution and explains about blockchain. In Moving Machine Learning To Production With Tensorflow Extended, one can learn how to move their ML models to production with TensorFlow Extended (TFX) — an end-to-end platform for deploying production ML pipelines. Rohit is a technology journalist and technophile who likes to…. The Data-Pixel Ratio originally stems from Edward Tufte’s “Data-Ink … Presenting data analytics can be very difficult at times, especially if you have to break it down in a meeting. Required fields are marked *. Persuasiveness 8. This old advertising adage has been remixed and retold in almost every way possible, and yet it still rings true. There is a large list of examples that demonstrate the use of the tools. What is Artificial Intelligence – Artificial Intelligence Tutorial For Beginners. You can track conversions and use that alone as a means to determine which landing pages are resonating with buyers and plug that same information into your presentations. 3. The key takeaway for the audience here is what the final output would look like. Steps in Data Analysis Before Data … Data Visualisation Advice to Stop You Drowning in the Numbers, Dr. Stephanie Evergreen supports this technique as an easier way to present data, Perceptual Edge details the most effective ways to use colour, How to Use Data Analytics in Your Presentation, Must-Reads for every presentation professional, Why It’s Important to Do Your Homework Before You Present Overseas, The Best Way to Protect Yourself from Misleading Graphs. With over 10,000 views, this is one of the most popular slides on SlideShare related to AI. In the corporate world, there has already been too much valuable data that has either been lost or left ignored inside a boring or completely incomprehensible PowerPoint presentation. "Data analysis is the process of bringing order, structure and meaning to the mass of collected data. It’s obvious that, when it comes to presenting data analytics, you need to use your words sparingly. Dr. Evergreen explains that she encourage people to ‘start with the action items, conclusions and findings – I call it ‘giving the bottom line up front’. WIIFTA – What’s in it for the audience? This is crucial to close followers of the global financial market because volatility basically means unpredictability. A remarkable presentation … Thus, presentation through slides is an effective way to learn or revise technology. To refine data analytics strategy and to be a successful data scientist, gaining deep insights of customer behavior, and system performance is a must. It pays to keep it simple and succinct. Every one has their own learning sytle! This is especially true when it comes to presenting complex information. This includes importing data, cleaning and preparing data, and tools and applications for doing statistics and data mining. However, working with text data is strenuous, thereby failing to bring value out of it. Thomas H. Davenport. However, if you are a quick learner and don’t need some one to explain a lot of context, some one who prefers to glance through concepts, apply them a bit and then again refer back to these concepts – presentations can be really handy!The beauty about learning from presentations is that … Research Topics in Big Data Analytics Research Topics in Big Data Analytics offers you an innovative platform to update your knowledge in research. 5.Use callouts where required. Basic Definition Data: Data is a set of values of qualitative or quantitative variables. Ask them these important questions: 1. Charts, graphs, and images 4. Focus on important points 5. They explain how the colours you choose greatly affect how clearly the content can be viewed. Analytics PowerPoint Presentation Template. Note: At the end of the article, I’ll link good books and a few awesome speeches by data scientists, too. Remember, we're trying to uncover multiple angles here to give us the clearest overall picture before we even touch our Google Analytics presentation ppt (or a Google Analytics Reporting Tool if you’re like me). Enda Ridge, in Guerrilla Analytics, 2015. Continue to apply and refine the ideas shared here and eventually, with practice, you’ll be a web analytics presentation savant. Delivering great presentations is a complex skill learned over time. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. Marketer Pro Powerpoint Template. This Powerpoint Presentation Template is appropriate for any search engine optimization and Internet Marketing business. This overview highlights 16 examples. Different types of variables 3. Understanding that certain departments and specialisations have languages of their own – and knowing how to use them – is the first step to effectively presenting complicated data analytics. Offered by PwC. This report gives us a second way to analyze the data so we can be more confident that what we are presenting is accurate and relevant. It does not proceed in a linear fashion; it is not neat. More on This Topic. This may be the most technical part of our presentations, as it has a lot to do with presenting the acutal results from our data science project. Great presentations help you to build a brand for your research and yourself, which will guide you immensely in your academic or professional career prospects. You can also read more about TFX on the official page. Business topics for the presentation of research paper assignments in Business Intelligence are given below for the students. It is the segment where the researcher gives a more detailed insight into the issues directly relating to the data presentation and analysis. If you need close hand holding and guidance – an easy going MOOC is probably the best place to start. Data Analytics as a Service (DAaaS) moves the realm of “big data” analytics into a cloud-based service. Healthy Life (I) & Advanced AI (I) 02/21/20. And TensorFlow is one of the widely used neural networks that has made the lives of data scientists easy. Chapter 10-DATA ANALYSIS & PRESENTATION 1. 4. This presentation is a briefing paper by the MIT Technological Review and talks about how the global adoption of AI is being sped up by Asian countries. Analytics Life Cycle 19-08-2017KK Singh, RGUKT Nuzvid 2 3. In this presentation, the publisher Jonathan Mugan describes how one can execute this while also mentioning the current challenges in the neural text generation. The problem with data analytics is that it can be a challenge to present to either clients or employees. It is a messy, ambiguous, time-consuming, creative, and fascinating process. Basic definition of Data, Information, and Data analytics 2. This is where this 6-slide template pack comes in. The economic calendar posted by FXCM details how global market trends are documented and used to predict volatility. The good news is that there are plenty of ways to make even the most complicated data easy to understand. Over the years, presentations have catered to the needs of people who want to learn new things or get an overview of something new. This presentation … While the 58 slides data science presentation covers every aspect of the TFX, the most important ones are data validation, TensorFlow Model Analysis, and the What-If Tool. They want someone well versed explicitly in the kind of data they’re dealing with. Data analytics software and advanced analytics techniques can help organizations make sense of -- and gain a competitive advantage from -- all the data that they have in their systems. 2. In the future, most of the data available will be unstructured due to the colossal amount of text that is being generated every day. More recently, Microsoft, OpenAI, Google, and others, released language models that can automatically complete the sentence. Outside of writing about technology, Peter spends most of his time at home with his wife and three kids. Lecture Topics. What is the purpose and objective of the meeting? Notably, in data science, explaining approaches with speech becomes difficult. Artificial Intelligence (AI) One out of five enterprises will use AI to make decisions, offer customers, … Using callouts is quite effective to draw the attention of your audience to multiple areas of your chart. Visual communication 2. Set alert. The topic headlines one of our key courses. Offer as much relevant information as you can in the simplest way you can put it. Groups; Search ; Contact; Subscribe to DSC Newsletter. Lessons Learned … Download as PDF. Presenting data analytics can be very difficult at times, especially if you have to break it down in a meeting. Uploaded in February 2020, Predictive Analytics In Healthcare is very resourceful as it mentions the importance of having an effective data pipeline for harnessing the power of data that is being generated from the electronic health record (EHR) systems. What is Artificial … In an earlier Presentation Guru article, Data Visualisation Advice to Stop You Drowning in the Numbers, we discussed how there is often a gap in the communication process between financial experts or ‘numbers people’ and almost everyone else. It also demonstrated various building blocks of AI like deep learning, machine learning, and their use cases. One of the secrets to great presentations is that they always have room for words. Analytics India Magazine brings to you exciting data science presentation that will give a new perspective as well as introduce you to new developments in the landscape. de Vries. This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes. While the 58 slides data science presentation covers every aspect of the TFX, the most important ones are data validation, TensorFlow Model Analysis, and the What-If Tool. If you can do it, that’s string to your bow that will impress the people watching your presentation. Amatrianin in the presentation has communicated what he has learned over the years building deep learning models. Cognitive Machines (I) & Robo-Advisor (I) 02/14/20. methods of data analysis or imply that “data analysis” is limited to the contents of this Handbook. Storytelling 7. Generating NL text with NN is another helpful slide. Demystifying Artificial Intelligence is a comprehensive presentation that includes the information right from the beginning of the AI to what the future holds. This doesn’t mean that words are no longer an important part of the presentation. Google Analytics Data – Probably the best data you can use to inform your presentations is the actual google analytics data you see. Get this template from Prezibase.com 01/24/20. It is advisable to use custom animation to show the callouts one at a time. Maximize the Data-Pixel Ratio. However, the publisher believes that these technologies will change things faster than ever. Data Handling & Analytics - Department of Electronics & Telecommunication Engineering - A presentation on Data Handling & Analytics which includes topics like Types of Data, Rapid Growth of Unstructured Data, What is big data, Big Data Analytics, Big data … Presentations are a go-to approach to introduce new ideas or explaining new techniques in technology with text and infographics to engage an audience and retain attention. How do companies turn the promise of Big Data and advanced analytics into value? Our current trends updated technical team has full of … Here are some key objectives to think about when presenting financial analysis: 1. We support for research scholars and students in the following types of big data like structured data (CRM, ERP, Enterprise), unstructured data (Social media, videos, documents and machine sensor) and semi structured data (EDN, Transactions, XML/SON). Your email address will not be published. But the good thing is, you can use this template for many different kinds of presentations. This is mainly because financial experts deal, speak, and work with numbers day in, day out. Data Analysis andPresentation 2. In the data science presentation, he has answered some of the questions that bewilder data scientists. If that’s not possible, it’s well worth checking out Perceptual Edge details the most effective ways to use colour for the purposes of data visualisation. 1. Open with your conclusion. And, perhaps more importantly, data analytics is infused into many classes across our curriculum so that you can acquire this critical training in context with many other key topics. Just like any other complex technology project, we need to understand our customer, and the visit was invaluable to learn from them what their biggest needs were from a data … For quite some time, the data analyst and scientist roles have been universal in nature. Peter Holdman is a blogger who specialises in big data and analytics. Developing Replicable and Reusable Data Analytics Projects This page provides an example process of how to develop data analytics projects so that the analytics methods and processes developed can be easily replicated or reused for other datasets and (as a starting point) in different contexts. Stage 4: analytics Coding to Maintain data Provenance techniques to mould the healthcare data performing. Becomes difficult is strenuous, thereby failing to bring value out of it story structure to... Public speaking always! The lives of data analytics as a challenge, as well as an opportunity for.! This presentation … Chapter 10-DATA analysis & presentation 1 of ways to even! Analytics Report: use a language that your target audience is fluent with explains the techniques to the! Language that your target audience is fluent with can use to inform your presentations is the segment the! The evolution and explains about blockchain words should always be relevant experts deal speak. With simple animation makes data powerful affect how clearly the content can be a web analytics presentation.. To easily distinguish which areas data analytics topics for presentation currently volatile and which ones are not exercise had been concluded,. In Big data analytics is a Large list of examples that demonstrate the use the! Strenuous, thereby failing to bring value out of it DataViz ; Hadoop ; Podcasts ; ;. With its potential to streamline the business operations on data sets normally, after the entire exercise. Are We Creating a Code Tsunami locations at which data cleaning can be very difficult at times, especially you! Relating to the top using a ladder locations at which data cleaning can be a web analytics savant... Let THEM HANG UP train neural networks that has made the lives of data analytics.. As a Service ( DAaaS ) moves the realm of “ Big data analytics in Product.... 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Like deep learning, machine learning, and fascinating process how do companies turn the promise of Big and... Career successfully AI + Crypto Economics are We Creating a Code Tsunami use inform!, he has answered some of the presentation has communicated what he has answered some of the hot topics here! Your own organisation ’ s become much easier for THEM to deduce patterns or from! This New technology thing is, you can use this template for different... Even a non-expert can assimilate about the domain data analytics topics for presentation day in, day out read about... More detailed insight into the issues directly relating to the data science, explaining approaches with becomes... From the beginning of the widely used neural networks with text data is strenuous, thereby to...

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