Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.
Description Fundamentals of Artificial Intelligence diploma Artificial intelligence is widely popular and fascinates most people, especially when compared to technology-related topics. The reason behind it may be that it often goes and wanders beyond what we can imagine. We live in a world where we constantly hold smartphones capable of performing tasks we could never have even thought of just ten years ago. We use technological innovations every day, like voice commands, facial recognition, and other tools that can isolate portraits or take group photos. These are things we never imagined were possible, but we have grown used to them today. We have experienced the wonders of AI, and every new aspect awes us. Although technology has become a part of our daily lives, most do not know how it works. Looking at how amazing the effects of AI are, there is no doubt that the way it works will awe us just as much. Narrow AI is more common, which is AI meant to be used powerfully in one case, like AI for facial recognition or detection of spam. AI systems can be used to sort out vast piles of data like recommendation systems and search engines. They can also provide insights into the data. With this kind of narrow AI, it is expected that it can only perform what it is designed to do. A program meant to detect spam or recognize facial features cannot also be expected to play chess, compose songs, and record shows to watch in the future. The Fundamentals of Artificial Intelligence diploma course aims to remove AI's mystery so that the learners can develop a better in-depth understanding of the technology. The Fundamentals of Artificial Intelligence diploma course consists of an introduction that includes all the basic concepts in AI that will enable you to see what things are possible and what are not within the technology. It will also help you understand the effects of AI on our daily lives. After completing the Fundamentals of Artificial Intelligence diploma course, you will be able to define AI, discuss it, evaluate AI claims, explain the technologies that underpin AI, such as neural networks and machine learning, and understand the main implications of AI. The Fundamentals of Artificial Intelligence diploma course will also discuss AI's concerns and issues like biases, ethics, and jobs. You will also get expert advice regarding learning about AI and beginning a profession in AI-related fields. The fundamentals of Artificial Intelligence diploma does not demand that you have any expertise in computer science or programming. It is simply meant to introduce to you the essentials and basics in the field, regardless of whether you possess a technical background. We aim to encourage as many people as possible from all backgrounds to learn about artificial intelligence, what it is, what it can or cannot do, and how one can start creating methods of AI. The course is flexible and can be studied and completed at whatever pace you are comfortable with. What you will learn 1: An introduction to AI and data 2: Algorithms and Hardware 3: Uses of AI in computer applications and common processes 4: Using AI for medical needs 5: AI helping improve human interactions 6: Data analysis for AI 7: Machine learning and deep learning in AI 8: AI in hardware applications 9: AI as a nonstarter 10: AI in outer space Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.
Exploring Focus Groups in Anthropology Research is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Exploring Focus Groups in Anthropology Research and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 06 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Unit 01: Introduction Welcome to Class! 00:03:00 What is Anthropology? 00:05:00 What is a Focus Group? 00:04:00 The Uses of Focus Groups 00:05:00 Advantages and Disadvantages 00:04:00 Focus Groups in Anthropology 00:05:00 Unit Activity 00:01:00 Unit Activity Answers 00:03:00 Unit 02: Research Ethics Introduction to Research Ethics 00:02:00 History of Research Ethics 00:07:00 Research Ethics 00:06:00 Professional Ethics 00:05:00 Ethics in Focus Group Research 00:09:00 Unit Activity 00:01:00 Unit Activity Answers 00:03:00 Unit 03: Preparing for a Focus Group Deciding on a Research Topic (Part 1) 00:02:00 Deciding on a Research Topic (Part 2) 00:08:00 Deciding on a Research Question 00:08:00 Deciding on a Population and Sample (Part 1) 00:10:00 Deciding on a Population and Sample (Part 2) 00:05:00 Doing a Literature Review 00:14:00 Unit Activity 00:01:00 Activity Answers 00:04:00 Unit 04: Planning for a Focus Group Introduction to Planning for a Focus Group 00:01:00 Overview & Timeline 00:09:00 Budget 00:09:00 Focus Group Setting 00:07:00 Room Arrangement 00:06:00 Unit Activity 00:01:00 Unit Activity Answers 00:03:00 Unit 05: Creating a Focus Group Introduction to Creating a Focus Group 00:01:00 Focus Group Composition 00:10:00 Focus Group Recruiting 00:13:00 Informed Consent 00:08:00 Unit Activity 00:01:00 Unit Activity Answers 00:03:00 Unit 06: Being a Moderator Introduction to Being a Moderator 00:02:00 Duties of a Moderator 00:07:00 Duties of an Assistant 00:06:00 Creating a Discussion Guide 00:08:00 Handling Problems (Part 1) 00:06:00 Handling Problems (Part 2) 00:05:00 Unit Activity 00:01:00 Unit Answers 00:03:00 Unit 07: Conducting a Focus Group Introduction to Conducting a Focus Group 00:01:00 Beginning the Focus Group 00:06:00 Asking Questions & Probes 00:05:00 Focus Group Activities 00:05:00 Taking Field Notes 00:06:00 Ending the Group 00:07:00 Online Focus Groups 00:06:00 Unit Activity 00:01:00 Unit Activity Answers 00:04:00 Unit 08: After a Focus Group Introduction to After a Focus Group 00:02:00 Transcription 00:06:00 Data Analysis (Part 1) 00:15:00 Data Analysis (Part 2) 00:05:00 Sharing Results 00:06:00 Data Management 00:08:00 Unit Activity 00:01:00 Unit Activity Answers 00:04:00 Unit 09: Conclusion Real-World Connections 00:04:00 Activity Answer 00:19:00 Congrats! 00:02:00 BONUS 00:02:00 Resources Resources - Exploring Focus Groups in Anthropology Research 00:00:00
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Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?
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