Name: Key Account Management Course
Price: 21 GBP
Availability: InStock

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>Deep Learning Heuristics are a powerful tool for solving complex problems. They allow us to find approximate solutions to problems that are too difficult to solve exactly. Heuristics are often used with Deep Learning models to improve performance. R is a popular programming language for statistical computing and graphics. It is a powerful tool for developing and implementing Deep Learning Heuristic.</p><p>Each section of the course is an intriguing journey in itself, designed to cater to your intellectual curiosity while simultaneously equipping you with actionable knowledge and skills. In the agricultural sector, you will analyze data to uncover the effects of climate and other variables on crop production, which is crucial for ensuring food security and sustainability. The course then transports you into the volatile realm of cryptocurrencies, where you will use heuristics to predict market trends and make informed decisions. The energy sector offers a unique challenge, as you will explore ways to optimize consumption and production, thereby contributing to a more sustainable future. In the financial markets section, your analytical skills will be put to the test as you decipher patterns to forecast market movements accurately.</p><p>By the end of this course, you will emerge not just as a proficient user of R but also as a well-rounded professional with a comprehensive understanding of how deep learning heuristics can be leveraged to tackle world problems in various industries. This training is a golden opportunity for anyone passionate about data analysis, problem-solving, and making a significant impact in their respective fields. So, why wait? Join us today and take the first step towards mastering the fascinating world of deep learning heuristic using R.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Grasp the fundamental concepts of deep learning heuristic.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Develop proficiency in R for data analysis.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Apply deep learning heuristic to agricultural data.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Understand the dynamics of cryptocurrencies through heuristic analysis.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Utilize heuristics in solving energy consumption and production problems.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Analyze financial market trends using deep learning heuristics.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Synthesize knowledge from various sectors to create innovative solutions.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Acquire specialized skills in deep learning heuristics.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Enhance your R programming capabilities.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Gain insights into multiple sectors including agriculture and finance.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Solve complex problems with innovative strategies.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Elevate your career in data analytics and problem-solving.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Financial Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Agricultural Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Energy Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Cryptocurrency Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Heuristics Specialist</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>A foundational understanding of deep learning concepts.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Basic knowledge of the R programming language.</span>
									</li>
								<li>
											<span>
													</span>
										<span>A keen interest in data analysis and problem-solving.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Section 01: Experimental Design - Heuristics Project 1-Agriculture</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Course Contents</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Dataframes</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Generating Descriptive</td><td><span>🕐 00:11:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Generating Descriptive Continued</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Setting Directory and Environment</td><td><span>🕐 00:11:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Assigning Variables</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Syntax and Command Part 1</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Syntax and Command Part 2</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Syntax and Command Part 3</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Setting Directory and Environment-Cryptocurrencies</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Spearman Techniques</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Generating Line Graphs</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Generating Scatter Plots</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Generating Multiple Scatter Plots</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 03: Experimental Design: Heuristics Project 3-Energy Sector</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Understanding Regression Modeling Theory</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Implementing Linear Regression Modeling</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Syntax and Commands</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Generating Scatter Plots-Energy Sector</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Multiple Scatter Plots</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 04: Experimental Design: Heuristics Project 4-Financial Markets</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Dataframes-Financial Markets</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Understanding Multiple</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Implementing Multiple Regression Model in R</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Plot and Draw Line of Fit</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Multiple Scatter Plots in a Graphical Frame</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Resource</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resource - Essential Training on Deep Learning Heuristic using R</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Skill Up

Data Engineering

Big Data Analytics

Data Science

Data Skills

Master Deep Learning Heuristics with R! This course will teach you how to use Deep Learning Heuristics to solve complex problems in Agriculture, Cryptocurrencies, Energy Sector, and Financial Markets. With R, you will be able to develop and implement efficient and scalable solutions.

Essential Training on Deep Learning Heuristic using R

General Admission

<strong>This AWS SageMaker Canvas course will help you become a machine learning expert and will enhance your skills by offering you comprehensive knowledge and the required hands-on experience on this newly launched cloud-based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.</strong>
        <p>AWS is the #1 cloud-based tool used industry-wide for machine learning projects. You do not need advanced coding expertise that is generally required in the field of machine learning. Nowadays, machine learning models that usually take many days to build are available very quickly in just a few minutes with the help of SageMaker Canvas.

SageMaker Canvas has a small learning curve and you can pick up even advanced concepts very quickly. It is also available as part of AWS Free Tier.

This course is created with students from various backgrounds in mind. Therefore, we start with the fundamentals and work our way up to more advanced topics. In addition, we will work on four projects in the course itself, from beginning to end. By providing you with in-depth knowledge and the necessary hands-on experience on this newly introduced cloud-based ML tool, this course will help you become a machine learning expert and enhance your skills. You won't need any advanced coding knowledge to complete projects that are based on real-world industry problems. Guidance is offered beyond the tool-you will not only learn the software but also important machine learning principles.

By the end of this course, you will be able to build your own machine learning model and get accurate predictions without writing any code using AWS SageMaker Canvas.

All the resources and datasets for this course are available at:  https://github.com/PacktPublishing/No-Code-Machine-Learning-Using-Amazon-AWS-SageMaker-Canvas</p>
        <h2>What You Will Learn</h2><p>Learn the basics of machine learning<br>Get introduced to AWS SageMaker<br>Use the Banknote Authentication dataset to predict data<br>Use the SMS Spam Collection dataset to predict data<br>Use the Customer Churn Prediction 2020 dataset to predict data<br>Use the Wine Quality dataset to predict data</p>
        <h2>Audience</h2><p>This course is designed for students who want to enter the machine learning domain but don't have coding expertise, or anybody in general who wants to know what machine learning is and how to use it professionally. You won't need any high-configuration computer to learn this tool. All you need is any system with internet connectivity and a basic understanding of machine learning.</p>
        <h2>Approach</h2><p>This course is designed keeping in mind students from all backgrounds. Hence, we cover everything from the basics and gradually progress toward advanced topics. We will also take live industry projects and take every step from start to end in the course.</p>
        <h2>Key Features</h2><p>Machine learning on Amazon's AWS SageMaker Canvas without writing any code * Learn how to train and test the ML models and get accurate predictions * Work on four live projects with a sample dataset</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/No-Code-Machine-Learning-Using-Amazon-AWS-SageMaker-Canvas</p>
        <h2>About the Author</h2><h3>Prince Patni</h3><p>Prince Patni is a software developer who specializes in business intelligence and data science. He has studied engineering, worked in four multinational corporations, and has been all over the world for business. He is currently working as an analyst/developer in a reputable organization. He enjoys both teaching and learning. He is here to offer his knowledge of data analytics, data visualization, business intelligence, data science, and other aspects of software development.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Machine Learning</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction</p><p style='margin: 0'>Welcome to the course! In this video, we will get introduced to the course and its learning objective.</p></td></tr><tr><td style='padding: 15px;'><p>2. What Is Machine Learning?</p><p style='margin: 0'>In this video, we will understand machine learning.</p></td></tr></tbody></table><br><h4>2. Introduction to AWS</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Is Amazon Web Services (AWS)?</p><p style='margin: 0'>In this video, we will understand Amazon Web Services (AWS).</p></td></tr><tr><td style='padding: 15px;'><p>2. Signing into AWS Console</p><p style='margin: 0'>In this video, you will learn how to sign into the AWS Console.</p></td></tr></tbody></table><br><h4>3. Introduction to SageMaker</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Is SageMaker and How Is It Used for Machine Learning?</p><p style='margin: 0'>In this video, we will understand SageMaker and how it is used for machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>2. What Is SageMaker Canvas?</p><p style='margin: 0'>In this video, we will understand SageMaker Canvas.</p></td></tr></tbody></table><br><h4>4. Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. SageMaker Domain and User Setup</p><p style='margin: 0'>In this video, we will work on the SageMaker domain and user setup.</p></td></tr><tr><td style='padding: 15px;'><p>2. Set Up Data in S3 Buckets for Use in SageMaker</p><p style='margin: 0'>In this video, you will learn how to set up data in S3 Buckets for use in SageMaker.</p></td></tr></tbody></table><br><h4>5. SageMaker Canvas Interface Walkthrough</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Navigating in SageMaker Canvas</p><p style='margin: 0'>In this video, we will explore SageMaker Canvas.</p></td></tr></tbody></table><br><h4>6. Project 1 - Banknote Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Adding Training Data</p><p style='margin: 0'>In this video, you will learn how to add training data.</p></td></tr><tr><td style='padding: 15px;'><p>2. Building and Using the Model for Prediction</p><p style='margin: 0'>In this video, you will learn how to build and use the model for prediction.</p></td></tr><tr><td style='padding: 15px;'><p>3. Predict Single and Batch Dataset</p><p style='margin: 0'>In this video, you will learn how to predict single and batch dataset.</p></td></tr><tr><td style='padding: 15px;'><p>4. Validating Accuracy of Batch Predictions</p><p style='margin: 0'>In this video, you will learn how to validate the accuracy of batch predictions.</p></td></tr></tbody></table><br><h4>7. Project 2 - Spam SMS Detection</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Adding Train and Test Data</p><p style='margin: 0'>In this video, you will learn how to add train and test data.</p></td></tr><tr><td style='padding: 15px;'><p>2. Building and Using the Model for Prediction</p><p style='margin: 0'>In this video, you will learn how to build and use the model for prediction.</p></td></tr><tr><td style='padding: 15px;'><p>3. Predicting Data and Validating Accuracy</p><p style='margin: 0'>In this video, you will learn how to predict data and validate the accuracy.</p></td></tr></tbody></table><br><h4>8. Project 3 - Customer Churn Prediction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Adding Data</p><p style='margin: 0'>In this video, you will learn how to add the data.</p></td></tr><tr><td style='padding: 15px;'><p>2. Building the Model</p><p style='margin: 0'>In this video, you will learn how to build the model.</p></td></tr><tr><td style='padding: 15px;'><p>3. Performing and Validating Predictions</p><p style='margin: 0'>In this video, you will learn how to perform and validate predictions.</p></td></tr></tbody></table><br><h4>9. Project 4 - Wine Quality Prediction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Adding and Joining Datasets</p><p style='margin: 0'>In this video, you will learn how to add and join datasets.</p></td></tr><tr><td style='padding: 15px;'><p>2. Building the Model</p><p style='margin: 0'>In this video, you will learn how to build the model.</p></td></tr><tr><td style='padding: 15px;'><p>3. Predicting Test Data</p><p style='margin: 0'>In this video, you will learn how to predict test data.</p></td></tr></tbody></table><br><h4>10. Assignment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. White Wine Quality Prediction</p><p style='margin: 0'>In this video, you need to work on a self-practice assignment using the Wine Quality dataset and perform white wine quality prediction.</p></td></tr></tbody></table><br><h4>11. Other Important Features in SageMaker Canvas</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Versioning</p><p style='margin: 0'>In this video, we will cover versioning.</p></td></tr></tbody></table><br><h4>12. Congratulations and Next Steps</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Getting Datasets for Practice</p><p style='margin: 0'>In this video, you will learn how to get datasets for practice.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Help on SageMaker Canvas</p><p style='margin: 0'>In this video, you will learn how to get help on SageMaker Canvas.</p></td></tr><tr><td style='padding: 15px;'><p>3. Congratulations and Thank You</p><p style='margin: 0'>Congratulations, you did it! Thank you for taking this course. Happy learning!</p></td></tr></tbody></table>

Packt

Testing

Model

This AWS SageMaker Canvas course will help you become a machine learning expert and will enhance your skills by offering you comprehensive knowledge and the required hands-on experience on this newly launched cloud-based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.

No-Code Machine Learning Using Amazon AWS SageMaker Canvas

Janets

Online Course Marketing

Online Course Creation

Microsoft SQL

Hadoop

AWS Certified Database

NoSQL

SQL NoSQL Big Data and Hadoop

Information Management

Master 75+ Excel tips and techniques and become a certified POWER USER, with unique hands-on demos and real-world projects to help you wrangle, analyze, and visualize your data in Excel.

Excel Pro Tips: 75+ Tips to go from Excel Beginner to Pro [v]

iStudy UK

Digital Marketing

Video Marketing

Search Engine Optimisation (SEO)

Search Engine Optimisation Audit

Google Digital Marketing

SEO and Digital Marketing Diploma

<div> <p>Our data analysis course offers comprehensive training in various data analysis tools like histograms, run charts and many other charts. Under expert guidance, you will be able to extract valuable insights from raw data, make informed decisions and solve complex problems.</p> <p><strong>This Course At A Glance </strong></p> <ul> <li>Accredited by CPD UK</li> <li>Endorsed by Quality Licence Scheme</li> <li>Learn about data analysis tools such as Tableau Public, SAS, Excel, RapidMiner and several alike</li> <li>Understand the meaning of the Pareto Chart, its analysis, and its applications</li> <li>Learn everything about Histogram, its uses, and applications</li> <li>Understand the importance of the Control chart, its examples, exceptional cases, and its interpretation</li> <li> Get to know about data variation and strategies to deal with variation</li> <li>Learn how to work in unison and present the quality data to the clients successfully</li> <li>Learn how to use data at various stages of business and what data tactics to use to drive business performance</li> <li>Have a thorough understanding of the principles and process of data management</li> </ul> </div> <h2>Data Analysis Course Overview</h2> <p>This comprehensive online course is apt for those who want to become an expert in data analysis, understand data and data science, and learn analytics tools and techniques. You will learn about process management principles, tools for data analysis, the Pareto Chart, Histogram, and much more.</p> <p>By the end of the course, you will have a solid understanding of data management, data presentation, run chart, variation, control chart, strategies to deal with variation, and interpreting the control chart.</p> <p><span></span></p> <h3>Who should take this course?</h3> <p>The data analysis course is designed for those who want to understand nuances of lists, sets, dictionaries, working, loading etc. It is ideal for anyone who wants to pursue their career in data analytics or anyone who wants to understand the principles of process management, tools of data analysis or different types of data charts such as Pareto chart, Histogram, and the Run chart.</p> <h3><strong>Entry Requirement  </strong></h3> <ul> <li>There are no academic entry requirements for this Data Analysis<strong> </strong>course, and it is open to students of all academic backgrounds.</li> <li>However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection.</li> </ul> <h3>Assessment Method</h3> <p>This Data Analysis Course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%.</p><h2><b>Course Curriculum</b></h2> <div id="la-course-curriculum"> <div> <div>  Data Analysis 101 <span></span>  <div> <div> <p>Welcome</p> <span></span> </div> <div> <p>Agenda and Principles of Process Management</p> <span></span> </div> <div> <p>The Voice of the Process</p> <span></span> </div> <div> <p>Working as One Team for Improvement</p> <span></span> </div> <div> <p>Exercise: The Voice of the Customer</p> <span></span> </div> <div> <p>Tools for Data Analysis</p> <span></span> </div> <div> <p>The Pareto Chart</p> <span></span> </div> <div> <p>The Histogram</p> <span></span> </div> <div> <p>The Run Chart</p> <span></span> </div> <div> <p>Exercise: Presenting Performance Data</p> <span></span> </div> <div> <p>Understanding Variation</p> <span></span> </div> <div> <p>The Control Chart</p> <span></span> </div> <div> <p>Control Chart Example</p> <span></span> </div> <div> <p>Control Chart Special Cases</p> <span></span> </div> <div> <p>Interpreting the Control Chart</p> <span></span> </div> <div> <p>Control Chart Exercise</p> <span></span> </div> <div> <p>Strategies to Deal with Variation</p> <span></span> </div> <div> <p>Using Data to Drive Improvement</p> <span></span> </div> <div> <p>A Structure for Performance Measurement</p> <span></span> </div> <div> <p>Data Analysis Exercise</p> <span></span> </div> <div> <p>Course Project</p> <span></span> </div> <div> <p>Test your Understanding</p> <span></span> </div> </div> </div> <div>  Assessment <span></span>  <div> <div> <p>Assessment - Data Analysis</p> <span></span> </div> </div> </div> </div> </div><h2><b>Recognised Accreditation</b></h2> <div> <h3>CPD Certification Service</h3> <p>This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.</p> <h3>Quality Licence Scheme Endorsed</h3> <p>The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.</p> </div> <p> </p> <p> </p><h2><b>Certificate of Achievement</b></h2> <h3>Endorsed Certificate from Quality Licence Scheme</h3> <p>After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is Â£65.</p> <h3>Certificate of Achievement from Lead Academy</h3> <p>After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of Â£12, and there is an additional fee to obtain a printed copy certificate which is Â£35.</p> <p> </p><h2><b>FAQs</b></h2> <div id="accordionPanelsStayOpenExample"> <div> <h3 id="panelsStayOpen-heading21">  Is CPD a recognised qualification in the UK?  </h3> <div id="panelsStayOpen-collapse21"> <div> <p>CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading23">  Are QLS courses recognised?  </h3> <div id="panelsStayOpen-collapse23"> <div> <p>Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading25">  When will I receive my certificate?  </h3> <div id="panelsStayOpen-collapse25"> <div> <p>For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading27">  Can I pay by invoice?  </h3> <div id="panelsStayOpen-collapse27"> <div> <p>Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading29">  Can I pay via instalment?  </h3> <div id="panelsStayOpen-collapse29"> <div> <p>Yes, you can pay via instalments at checkout. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading31">  How to take online classes from home?  </h3> <div id="panelsStayOpen-collapse31"> <div> <p>Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading33">  Does age matter in online learning?  </h3> <div id="panelsStayOpen-collapse33"> <div> <p>No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons.</p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading35">  When I will get the login details for my course?  </h3> <div id="panelsStayOpen-collapse35"> <div> <p>After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org</p> </div> </div> </div> </div>

Lead Academy

Data Analysis Course

<strong>Learning and applying new visual techniques can often be a daunting experience. This is especially true if you need to generate and code data visualizations yourself.

This course focuses specifically on how to create many different types of graphs and all their possible options and sub-options.</strong>
        <p>Visualizing and graphing data is vital in modern data analytics. Whether you are a data scientist, student of quantitative methods, or a business user, having an understanding of how to visualize data is an important aspect of getting data information across to other stakeholders. Many ways of visualizing data have been devised and some are better than others. However, each method has advantages and disadvantages, and having a solid understanding of what visualization might be best suited is key to delivering a concise and sharp 'data message'.

In this course, you will learn some of the most important data visualization methods. The author will also explain, without any equations or complex statistics, what are the advantages and disadvantages of each technique.

You will be shown how each graph can be created, modified, and customized in Stata throughout the course's journey.

This course will help you learn and understand the basic methods of data visualization. You will also learn, in an easy manner, variations and customizations of basic visualization methods. You will gain experience with different data visualization techniques and how to apply them. After understanding the techniques, you will learn and code many Stata graphs. Finally, you will gain confidence in your ability to modify and create bespoke data visualizations in Stata.

By the end of this course, you will learn many different methods to visualize data and how to generate these yourself in Stata.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Data-Visualization-in-Stata</p>
        <h2>What You Will Learn</h2><p>Learn the basics of data visualization<br>Look at graphing in Stata and understand basic plot types<br>Explore intermediate and advanced plot types<br>Learn about the distribution and relationship plots<br>Explore the world of categorical and specialized plots<br>Expand your knowledge on basic to advanced Stata codes</p>
        <h2>Audience</h2><p>This course is ideally for Stata users, data analysts, data scientists, quantitative degree students, and quantitative business users that have a flair to explore this arena.<br><br>Economists, social scientists, political scientists, biostatisticians, and other disciplines will also benefit from this course.<br><br>Basic Stata knowledge along with some basic Stata coding (.do files, commands, varlists, and options) is an essential requirement to extract the most out of this course.</p>
        <h2>Approach</h2><p>This course is designed to provide you with a compact and easy-to-understand set of videos that focus on the basic principles behind many common data visualizations and how you can code them in Stata.<br><br>The course is modular; just click on the graphs that you are most interested in and learn away. You do not need to follow this course linearly.</p>
        <h2>Key Features</h2><p>Learn basic methods of data visualization, variations, and customizations of visualization methods * Gain experience of different data visualization techniques and how to apply them * Implement code files along with bite-sized videos in a modular and easy-to-use approach</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Data-Visualization-in-Stata</p>
        <h2>About the Author</h2><h3>Franz Buscha</h3><p>Franz Buscha is a professor of economics at the University of Westminster, which he joined after completing his Ph.D. in economics at Lancaster University. He has been involved in numerous funded research projects from research councils and government departments. He has also contributed to a wide range of projects, including policy evaluation and bespoke econometric advice to UK government departments. Franz has published in leading journals and contributed to numerous policy reports. His research has even been covered by various media outlets. He is an experienced online educator and has published several online courses, including LinkedIn Learning. Franz also has a monthly radio program called Policy Matters on Share Radio.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Graphs for single continuous variables</h4><p></p><br><h4>3. Plots for single discrete variables</h4><p></p><br><h4>4. Plots for two continuous variables</h4><p></p><br><h4>5. Plots for two discrete variables</h4><p></p><br><h4>6. Plots for three or more variables</h4><p></p>

Stata

Data Visualization

Learning and applying new visual techniques can often be a daunting experience. This is especially true if you need to generate and code data visualizations yourself.

This course focuses specifically on how to create many different types of graphs and all their possible options and sub-options.

Data Visualization in Stata

<p>Unlock the door to endless possibilities with our comprehensive bundle of courses: "Python for Machine Learning and Data Analytics." In the UK, professionals in these fields can enjoy lucrative career opportunities with average annual salaries ranging from £40,000 to £80,000+. Imagine yourself at the forefront of technological advancements, harnessing the power of Python programming to revolutionise data analysis, develop intelligent systems, and make informed business decisions.</p><p>Introducing our captivating bundle of courses: "Python for Machine Learning and Data Analytics." Whether you're a novice seeking to enter the world of Python programming or an experienced professional looking to enhance your skills, this bundle is tailor-made for you.</p><p>Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p><strong>Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now!</strong></p><p><strong>The courses in this bundle include:</strong></p><ol><li><strong>Python For Beginners </strong></li><li><strong>Machine Learning Basics</strong></li><li><strong>Data Analytics</strong></li></ol><p><strong>Learning outcomes:</strong></p><ul><li>Gain proficiency in Python programming, from the basics to more advanced concepts, allowing you to develop efficient and robust code for data analysis and machine learning applications.</li><li>Understand the fundamental principles of machine learning, including different algorithms and techniques, enabling you to train models, make predictions, and evaluate their performance.</li><li>Acquire practical knowledge in data preprocessing, exploration, and visualisation techniques, empowering you to extract meaningful insights from complex datasets.</li><li>Develop the skills to implement machine learning algorithms and techniques in Python, creating intelligent systems that can adapt and learn from data.</li><li>Learn to effectively use Python libraries and frameworks such as NumPy, Pandas and Scikit-learn to streamline your data analysis and machine learning workflows.</li><li>Gain hands-on experience by working on real-world projects and exercises, solidifying your understanding of Python programming, machine learning, and data analytics.</li></ul><p>Introducing our captivating bundle of courses: "Python for Machine Learning and Data Analytics." Whether you're a novice seeking to enter the world of Python programming or an experienced professional looking to enhance your skills, this bundle is tailor-made for you.</p><p>The<strong> Python For Beginners </strong>course comprehensively introduces Python programming. You will learn the basics of Python syntax, data structures, control flow, and functions. By the end of this course, you will have a solid understanding of Python fundamentals and be ready to dive deeper into advanced concepts.</p><p>In the <strong>Machine Learning Basics</strong> course, you will explore the fundamentals of machine learning. You will learn different machine learning algorithms, such as regression, classification, and clustering, and understand how to train and evaluate models. Through hands-on projects, you will gain practical experience in developing machine-learning solutions.</p><p>The <strong>Data Analytics</strong> course focuses on the art of extracting insights from data. You will learn data preprocessing techniques, exploratory data analysis, and data visualisation using Python libraries such as NumPy, Pandas, and Matplotlib. This course will equip you with the skills to make data-driven decisions and effectively communicate findings.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        25 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This course is ideal for the following:</p><ul><li>Aspiring data analysts seeking to enhance their skills in Python and data analytics.</li><li>Professionals are interested in entering the field of machine learning and data science.</li><li>Software developers want to expand their knowledge into machine learning and data analytics.</li><li>Business analysts who want to leverage Python and data analytics to gain valuable insights.</li><li>Students or graduates looking to enhance their employability with in-demand skills.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>People tend to pursue these career paths in this sector:</p><ul><li>Data Analyst: £25,000 - £45,000 per year</li><li>Machine Learning Engineer: £40,000 - £70,000 per year</li><li>Data Scientist: £45,000 - £80,000 per year</li><li>Business Analyst: £30,000 - £55,000 per year</li><li>Python Developer: £35,000 - £60,000 per year</li><li>Data Engineer: £40,000 - £70,000 per year</li><li>Research Scientist: £40,000 - £75,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate Of Completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate Of Completion</h4>
        <p>
            Hard copy certificate -
            £9.99
        </p>
            <div><p>Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates!</p><p>Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for <strong>Python For Beginners Part 1</strong> absolutely free!</p><p>Upon finishing <strong>Machine Learning Basics</strong> and <strong>Data Analytics</strong>, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!</p></div>

                        </div>

NextGen Learning

Learning & Development

Business Analytics & Intelligence

Managed Learning Programme (MLP)

Trainers Course

Python for Machine Learning and Data Analytics

Linkedin Marketing

YouTube Marketing

Become Digital Marketing PRO in NO TIME - 12 Courses in 1

<p>The Key Account Management is all you need to advance your career in relevant fields.</p><p>Enrol now to discover everything you need to know about the Key Account Management and the skills to improve your talents in this field and be confident in your knowledge bucket with One Education as your right hand!</p><p><strong>Courses comprised in the power packed 7-in-1 Key Account Management Bundle</strong></p><ul><li>Course 1: Key Account Management Course</li><li>Course 2: Marketing &amp; CRM</li><li>Course 3: Sales &amp; Negotiation Skills</li><li>Course 4: Business and Data Analytics for Beginners</li><li>Course 5: Effective Communication Skills</li><li>Course 6: Conflict Resolution</li><li>Course 7: Branding Your Business</li></ul><p>Our Key Account Management bundle is a carefully curated collection of courses that work harmoniously to provide you with a holistic education in the art of KAM. Together, these courses form a seamless, all-encompassing educational experience, empowering you with a multifaceted skill set and a comprehensive understanding of the dynamic field of Key Account Management.</p><p><strong>Meet the Endorsement</strong></p><p>The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This Key Account Management course materials are recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject.</p><p><strong>Meet the Accreditation</strong></p><p><strong>The CPD Certification Service (CPD UK</strong>) assure the <strong>Key Account Management Course </strong>training and learning activities are relevant, reliable, and upto date.</p><p><strong>Expert Support</strong></p><p>Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course.</p><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>Key Account Management</strong></p><p><strong>Course Assessment </strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Certificate of Achievement</strong></p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the Key Account Management course, learners will be able to order an endorsed certificate as proof of their achievement. Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying</p><ul><li>Within the UK: £109</li><li>International: £109 + £10 (postal charge) = £119</li></ul><p><strong>Certification</strong><br />Once you have finished the course, you will be eligible to apply for a CPD QS accredited certificate as proof of your new skills and your continued professional development. Certificates are available as PDF for £9, or you can request a hard copy to be sent in the post for £15.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        325 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by The CPD Certification Service
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>Key Account Management</strong></p><p>This Key Account Management course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p><strong>Key Account Management</strong></p><p>This Key Account Management course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p><strong>Key Account Management</strong></p><p>Upon successful completion of the Key Account Management Course, learners will be equipped with many indispensable skills and have the opportunity to grab.</p>
                        </div>

One Education

Key Account Management Course

<p>Step into the exhilarating realm of '<strong>Sports Management: Navigating the Business of Sports</strong>'. This course unveils the intricate dynamics underpinning the business facet of sports, right from understanding its basics to delving deep into strategic planning, financial analyses, and leadership nuances. With a robust curriculum spanning over 14 comprehensive modules, learners will uncover the mysteries of sports marketing, delve into the nuances of event promotions, and master the art of data analytics tailored for the sporting world. As sports transcend global boundaries, knowing how to adeptly manage and promote them can unlock new horizons. This course is your gateway to mastering that craft.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Understand the foundational principles of sports management and its various facets.</li>
<li>Analyse sports finance strategies and the underlying organisational structures.</li>
<li>Develop strategies for effective leadership, conflict resolution, and performance assessment in sports settings.</li>
<li>Master the principles of business administration tailored for sports, including event promotion and sponsorships.</li>
<li>Harness the power of data analytics for informed decision-making in the sporting realm.</li>
</ul>
<h3><b>Why buy this <span>Sports Management: Navigating the Business of Sports</span>?</b></h3>
<ol>
<li><span>Unlimited access to the course for forever</span></li>
<li><b>Digital Certificate, Transcript, student ID</b><span> all included in the price</span></li>
<li><span>Absolutely no hidden fees</span></li>
<li><span>Directly receive </span><b>CPD </b><span>accredited qualifications after course completion</span></li>
<li><span>Receive one to one assistance on every weekday from professionals</span></li>
<li><span>Immediately receive the PDF certificate after passing</span></li>
<li><span>Receive the original copies of your certificate and transcript on the next working day</span></li>
<li><span>Easily learn the skills and knowledge from the comfort of your home</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Sports Management: Navigating the Business of Sports</b><span> there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.</span></p>
<h3><b>Who is this <span>Sports Management: Navigating the Business of Sports</span> course for?</b></h3>
<ul>
<li>Aspiring sports managers seeking a comprehensive understanding of the field.</li>
<li>Individuals aiming to transition into sports administration and marketing roles.</li>
<li>Coaches or trainers wanting to augment their managerial capabilities.</li>
<li>Sports enthusiasts eager to turn their passion into a viable career.</li>
<li>Entrepreneurs looking to venture into sports-related businesses.</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Sports Management: Navigating the Business of Sports</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Sports Management: Navigating the Business of Sports</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Sports Marketing Manager</strong>: £35,000 - £50,000</li>
<li><strong>Sporting Event Coordinator</strong>: £28,000 - £42,000</li>
<li><strong>Sports Data Analyst</strong>: £30,000 - £48,000</li>
<li><strong>Sports Finance Analyst</strong>: £40,000 - £58,000</li>
<li><strong>Sports Sponsorship Executive</strong>: £32,000 - £47,000</li>
<li><strong>Sports Injury Manager</strong>: £27,000 - £40,000</li>
</ul><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: What is Sports Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is Sports Management</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Aspects of Sports Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Aspects of Sports Management</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Professional Sports and Global Circuits</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Professional Sports and Global Circuits</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Strategic Management in Sports</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Strategic Management in Sports</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: The Sports Organisational Structure</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Sports Organisational Structure</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Sports Finance Strategy and Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sports Finance Strategy and Analysis</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Leadership and Management in Sport</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Leadership and Management in Sport</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Business Administration and Sports Marketing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Business Administration and Sports Marketing</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Conflict Management Strategies</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Conflict Management Strategies</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Performance Management in Sports</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Performance Management in Sports</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Using Data Analytics in Sports</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Data Analytics in Sports</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Sporting Event Planning and Promotion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sporting Event Planning and Promotion</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 13: Sports Sponsorships and Its Types</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sports Sponsorships and Its Types</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 14: Sports Injuries and Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sports Injuries and Management</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Sports Coaching

Sports Science

Sports Marketing

Sports Management

Sports & Fitness

Sports Management: Navigating the Business of Sports

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><b data-stringify-type="bold" fr-original-style=" color: rgb(209, 210, 211);" style="color: rgb(209, 210, 211); box-sizing: border-box;" id="isPasted"><span fr-original-style="color: rgb(0, 0, 0);" style="color: rgb(0, 0, 0); box-sizing: border-box;">Welcome to Sports Management Leadership: Thriving in Sports Administration. In this course, you&#39;ll learn:<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></span></b></p><ol style="color: rgb(209, 213, 219); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(209, 213, 219);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">What is Sports Management:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the fundamental concepts and definitions of sports management.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the role and significance of sports management in the modern sports industry.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Delve into the historical evolution of sports management as a field of study and practice.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Aspects of Sports Management:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Analyze the various dimensions of sports management, including organizational, operational, and strategic aspects.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Examine the key functions and responsibilities involved in effective sports management.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Professional Sports and Global Circuits:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Investigate the global landscape of professional sports.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the structures and dynamics of international sports circuits.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the impact of globalization on the sports industry.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Strategic Management in Sports:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn the principles of strategic planning and implementation in sports organizations.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Analyze case studies to understand successful strategic management in sports.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">The Sports Organizational Structure:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the organizational structures of sports entities, from grassroots organizations to professional leagues.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Examine the roles and responsibilities within sports organizations.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Sports Finance Strategy and Analysis:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Gain insights into financial management within the sports industry.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn to develop financial strategies and analyze financial performance in sports organizations.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Leadership and Management in Sport:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the qualities and skills essential for effective leadership in sports.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore different leadership styles and their applications in the sports context.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Business Administration and Sports Marketing:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the intersection of business administration and sports marketing.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn strategies for effective sports marketing and brand management.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Conflict Management Strategies:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Develop skills to identify and manage conflicts within sports organizations.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore strategies for resolving conflicts and promoting a positive organizational culture.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Performance Management in Sports:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn about performance management techniques for athletes and sports teams.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand how to set goals, evaluate performance, and provide constructive feedback.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Using Data Analytics in Sports:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the role of data analytics in sports decision-making.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn to use data-driven insights for player performance analysis and strategic planning.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Sporting Event Planning and Promotion:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Gain practical knowledge in planning and promoting sports events.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the logistics, marketing, and operational aspects of successful sports events.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Sports Sponsorships and Its Types:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the different types of sports sponsorships and their impact.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn how to secure and leverage sponsorships for sports organizations.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Sports Injuries and Management:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Examine the common sports injuries and their management strategies.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn about injury prevention, rehabilitation, and the role of sports medicine in athlete care.</li></ul></li></ol>

John Academy

Performance Management

Strategic Management

Conflict Management

Unlock the keys to success in the dynamic world of sports administration with our comprehensive 'Sports Management Leadership' course. From strategic planning to financial analysis, delve into the nuances of organizational structures, leadership in sports, and the global impact of professional circuits. Equip yourself with the skills to navigate sports finance, conflict resolution, data analytics, event planning, and more. Thrive in the sports industry with our expert-led curriculum, blending theory with real-world applications. Join us on the path to becoming a sports management leader and elevate your career in this exciting field!

Sports Management Leadership: Thriving in Sports Administration

<p>Unlock your potential and achieve your goals with our comprehensive online Sports Management Online Training courses! Dive into a world of knowledge and skill enhancement right from the comfort of your own home. Whether you're looking to advance your career, explore a new hobby, or simply expand your horizons, our Sports Management Online Training courses are designed to empower you every step of the way.</p><p><strong>Key Features</strong></p><p>The Sports Management Online Training course includes the following offers:</p><ul><li>CPD Quality Standards Accredited Sports Management Online Training Course</li><li>Lifetime Access</li><li>No Hidden Fees</li><li>24/7 Tutor Support</li><li>Certificate Available with reasonable price</li></ul><p>Discover a wealth of learning opportunities with our diverse range of online courses including Sports Management Online Training. From professional development to personal enrichment, we offer courses in a variety of subjects including business, technology, arts, languages, and more. This Sports Management Online Training course is carefully curated by industry experts and delivered through engaging multimedia content, interactive quizzes, and hands-on projects to ensure an immersive learning experience.</p><p><strong>Curriculum</strong></p><ul><li><strong>Module 01: What Is Sports Management</strong></li><li><strong>Module 02: Aspects Of Sports Management</strong></li><li><strong>Module 03: Professional Sports And Global Circuits</strong></li><li><strong>Module 04: Strategic Management In Sports</strong></li><li><strong>Module 05: The Sports Organisational Structure</strong></li><li><strong>Module 06: Sports Finance Strategy And Analysis</strong></li><li><strong>Module 07: Leadership And Management In Sport</strong></li><li><strong>Module 08: Business Administration And Sports Marketing</strong></li><li><strong>Module 09: Conflict Management Strategies</strong></li><li><strong>Module 10: Performance Management In Sports</strong></li><li><strong>Module 11: Using Data Analytics In Sports</strong></li><li><strong>Module 12: Sporting Event Planning And Promotion</strong></li><li><strong>Module 13: Sports Sponsorships And Its Types</strong></li><li><strong>Module 14: Sports Injuries And Management</strong></li></ul><p><strong>Why This Online Course is Better for You:</strong></p><p>Unlike traditional classroom settings, our online Sports Management Online Training course offers flexibility and convenience tailored to fit your busy lifestyle. With 24/7 access to Sports Management Online Training course materials and the ability to learn at your own pace, you can study whenever and wherever it's most convenient for you. Plus, our online platform provides a supportive community of fellow learners and dedicated instructors to guide you every step of the way.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Our Sports Management Online Training course is designed for anyone eager to expand their knowledge and skills, regardless of their background or experience level. Whether you're a working professional looking to upskill, a student seeking supplemental education, or an enthusiast pursuing a passion project, our courses are accessible to learners of all ages and abilities.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Invest in your future and unlock new career opportunities with our online Sports Management Online Training course. Gain valuable skills and credentials that are in high demand in today's competitive job market. Whether you're looking to switch careers, climb the corporate ladder, or start your own business, our Sports Management course provide the expertise and certification you need to succeed.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            £9
        </p>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div><p>A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p></div>

                        </div>

Sports Management Online Training Course

<p>Are you passionate about the world of sports and eager to dive into the dynamic and fascinating Sports Industry? Our comprehensive course offers a deep exploration of the field, equipping you with essential knowledge and skills to excel in this exciting domain.</p><p>Throughout this course, you will gain a profound understanding of the intricacies of Sports Management, from the fundamental principles to the global dynamics. Discover the strategic management strategies employed by leading sports organisations, explore the financial aspects, and dive into the complexities of sports leadership and management. Learn how data analytics is revolutionising the sports landscape and how to plan and promote sporting events effectively. Explore the diverse world of sports sponsorships and delve into the crucial area of sports injuries and their management. This course provides a well-rounded education in the Sports Industry, ensuring you are well-prepared for a range of roles within this thriving sector.</p><p><strong>Key Features</strong></p><ul><li>CPD Accredited</li><li>FREE PDF + Hardcopy certificate</li><li>Fully online, interactive course</li><li>Self-paced learning and laptop, tablet and smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Course Curriculum </strong></p><ul><li>Module 01: What is Sports Management</li><li>Module 02: Aspects of Sports Management</li><li>Module 03: Professional Sports and Global Circuits</li><li>Module 04: Strategic Management in Sports</li><li>Module 05: The Sports Organisational Structure</li><li>Module 06: Sports Finance Strategy and Analysis</li><li>Module 07: Leadership and Management in Sport</li><li>Module 08: Business Administration and Sports Marketing</li><li>Module 09: Conflict Management Strategies</li><li>Module 10: Performance Management in Sports</li><li>Module 11: Using Data Analytics in Sports</li><li>Module 12: Sporting Event Planning and Promotion</li><li>Module 13: Sports Sponsorships and Its Types</li><li>Module 14: Sports Injuries and Management</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Develop a comprehensive understanding of Sports Management.</li><li>Gain insights into strategic management and financial analysis in sports.</li><li>Acquire leadership and management skills specific to the sports context.</li><li>Master data analytics and its application in the sports industry.</li><li>Learn effective event planning and promotion techniques.</li><li>Explore the world of sports sponsorships and injury management.</li></ul><p><strong>Accreditation</strong></p><p>This course is <strong>CPD Quality Standards</strong> (<strong>CPD QS)</strong> accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p><strong>Certificate</strong></p><p>After completing this course, you will get a FREE Digital Certificate from Training Express.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Sports enthusiasts looking to turn their passion into a career.</li><li>Individuals aspiring to work in sports management and administration.</li><li>Professionals seeking to enhance their knowledge in the sports industry.</li><li>Students and recent graduates interested in the dynamic world of sports.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Sports Manager</li><li>Event Planner</li><li>Sports Marketing Specialist</li><li>Sports Data Analyst</li><li>Sports Finance Analyst</li><li>Sports Injury Manager</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Once you've successfully completed your course, you will immediately be sent a FREE digital certificate.</p></div>
        <h4>Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK).<br />For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only <strong>£10</strong>.<br />Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.</p></div>

                        </div>

Training Express

Sports Industry Insights Course

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.</p><p></p><p></p><p>In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.</p><p></p>Prerequisites<p></p><p>Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.</p>  <li>AZ-900T00 Microsoft Azure Fundamentals</li>  <li>DP-900T00 Microsoft Azure Data Fundamentals</li><p></p></div><div id="course-pills-2"><h3>1 - Introduction to data engineering on Azure</h3> <ul> <li>What is data engineering</li> <li>Important data engineering concepts</li> <li>Data engineering in Microsoft Azure</li> </ul> <h3>2 - Introduction to Azure Data Lake Storage Gen2</h3> <ul> <li>Understand Azure Data Lake Storage Gen2</li> <li>Enable Azure Data Lake Storage Gen2 in Azure Storage</li> <li>Compare Azure Data Lake Store to Azure Blob storage</li> <li>Understand the stages for processing big data</li> <li>Use Azure Data Lake Storage Gen2 in data analytics workloads</li> </ul> <h3>3 - Introduction to Azure Synapse Analytics</h3> <ul> <li>What is Azure Synapse Analytics</li> <li>How Azure Synapse Analytics works</li> <li>When to use Azure Synapse Analytics</li> </ul> <h3>4 - Use Azure Synapse serverless SQL pool to query files in a data lake</h3> <ul> <li>Understand Azure Synapse serverless SQL pool capabilities and use cases</li> <li>Query files using a serverless SQL pool</li> <li>Create external database objects</li> </ul> <h3>5 - Use Azure Synapse serverless SQL pools to transform data in a data lake</h3> <ul> <li>Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement</li> <li>Encapsulate data transformations in a stored procedure</li> <li>Include a data transformation stored procedure in a pipeline</li> </ul> <h3>6 - Create a lake database in Azure Synapse Analytics</h3> <ul> <li>Understand lake database concepts</li> <li>Explore database templates</li> <li>Create a lake database</li> <li>Use a lake database</li> </ul> <h3>7 - Analyze data with Apache Spark in Azure Synapse Analytics</h3> <ul> <li>Get to know Apache Spark</li> <li>Use Spark in Azure Synapse Analytics</li> <li>Analyze data with Spark</li> <li>Visualize data with Spark</li> </ul> <h3>8 - Transform data with Spark in Azure Synapse Analytics</h3> <ul> <li>Modify and save dataframes</li> <li>Partition data files</li> <li>Transform data with SQL</li> </ul> <h3>9 - Use Delta Lake in Azure Synapse Analytics</h3> <ul> <li>Understand Delta Lake</li> <li>Create Delta Lake tables</li> <li>Create catalog tables</li> <li>Use Delta Lake with streaming data</li> <li>Use Delta Lake in a SQL pool</li> </ul> <h3>10 - Analyze data in a relational data warehouse</h3> <ul> <li>Design a data warehouse schema</li> <li>Create data warehouse tables</li> <li>Load data warehouse tables</li> <li>Query a data warehouse</li> </ul> <h3>11 - Load data into a relational data warehouse</h3> <ul> <li>Load staging tables</li> <li>Load dimension tables</li> <li>Load time dimension tables</li> <li>Load slowly changing dimensions</li> <li>Load fact tables</li> <li>Perform post load optimization</li> </ul> <h3>12 - Build a data pipeline in Azure Synapse Analytics</h3> <ul> <li>Understand pipelines in Azure Synapse Analytics</li> <li>Create a pipeline in Azure Synapse Studio</li> <li>Define data flows</li> <li>Run a pipeline</li> </ul> <h3>13 - Use Spark Notebooks in an Azure Synapse Pipeline</h3> <ul> <li>Understand Synapse Notebooks and Pipelines</li> <li>Use a Synapse notebook activity in a pipeline</li> <li>Use parameters in a notebook</li> </ul> <h3>14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics</h3> <ul> <li>Understand hybrid transactional and analytical processing patterns</li> <li>Describe Azure Synapse Link</li> </ul> <h3>15 - Implement Azure Synapse Link with Azure Cosmos DB</h3> <ul> <li>Enable Cosmos DB account to use Azure Synapse Link</li> <li>Create an analytical store enabled container</li> <li>Create a linked service for Cosmos DB</li> <li>Query Cosmos DB data with Spark</li> <li>Query Cosmos DB with Synapse SQL</li> </ul> <h3>16 - Implement Azure Synapse Link for SQL</h3> <ul> <li>What is Azure Synapse Link for SQL?</li> <li>Configure Azure Synapse Link for Azure SQL Database</li> <li>Configure Azure Synapse Link for SQL Server 2022</li> </ul> <h3>17 - Get started with Azure Stream Analytics</h3> <ul> <li>Understand data streams</li> <li>Understand event processing</li> <li>Understand window functions</li> </ul> <h3>18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics</h3> <ul> <li>Stream ingestion scenarios</li> <li>Configure inputs and outputs</li> <li>Define a query to select, filter, and aggregate data</li> <li>Run a job to ingest data</li> </ul> <h3>19 - Visualize real-time data with Azure Stream Analytics and Power BI</h3> <ul> <li>Use a Power BI output in Azure Stream Analytics</li> <li>Create a query for real-time visualization</li> <li>Create real-time data visualizations in Power BI</li> </ul> <h3>20 - Introduction to Microsoft Purview</h3> <ul> <li>What is Microsoft Purview?</li> <li>How Microsoft Purview works</li> <li>When to use Microsoft Purview</li> </ul> <h3>21 - Integrate Microsoft Purview and Azure Synapse Analytics</h3> <ul> <li>Catalog Azure Synapse Analytics data assets in Microsoft Purview</li> <li>Connect Microsoft Purview to an Azure Synapse Analytics workspace</li> <li>Search a Purview catalog in Synapse Studio</li> <li>Track data lineage in pipelines</li> </ul> <h3>22 - Explore Azure Databricks</h3> <ul> <li>Get started with Azure Databricks</li> <li>Identify Azure Databricks workloads</li> <li>Understand key concepts</li> </ul> <h3>23 - Use Apache Spark in Azure Databricks</h3> <ul> <li>Get to know Spark</li> <li>Create a Spark cluster</li> <li>Use Spark in notebooks</li> <li>Use Spark to work with data files</li> <li>Visualize data</li> </ul> <h3>24 - Run Azure Databricks Notebooks with Azure Data Factory</h3> <ul> <li>Understand Azure Databricks notebooks and pipelines</li> <li>Create a linked service for Azure Databricks</li> <li>Use a Notebook activity in a pipeline</li> <li>Use parameters in a notebook</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans DP-203T00 Data Engineering on Microsoft Azure training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the DP-203T00 Data Engineering on Microsoft Azure course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

DP-203T00 Data Engineering on Microsoft Azure

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>Overview<p>Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle</p><p>CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. <br /><br /> As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making.</p></div><div id="course-pills-2"><h3>1 - Identifying Basic Concepts of Data Schemas</h3> <ul> <li>Identify Relational and Non-Relational Databases</li> <li>Understand the Way We Use Tables, Primary Keys, and Normalization</li> </ul> <h3>2 - Understanding  Different Data Systems</h3> <ul> <li>Describe Types of Data Processing and Storage Systems</li> <li>Explain How Data Changes</li> </ul> <h3>3 - Understanding  Types and  Characteristics of Data</h3> <ul> <li>Understand Types of Data</li> <li>Break Down the Field Data Types</li> </ul> <h3>4 - Comparing and  Contrasting Different  Data Structures,  Formats, and Markup  Languages</h3> <ul> <li>Differentiate between Structured Data and Unstructured Data</li> <li>Recognize Different File Formats</li> <li>Understand the Different Code Languages Used for Data</li> </ul> <h3>5 - Explaining  Data Integration and  Collection Methods</h3> <ul> <li>Understand the Processes of Extracting, Transforming, and Loading Data</li> <li>Explain API/Web Scraping and Other Collection Methods</li> <li>Collect and Use Public and Publicly-Available Data</li> <li>Use and Collect Survey Data</li> </ul> <h3>6 - Identifying  Common Reasons for  Cleansing and Profiling  Data</h3> <ul> <li>Learn to Profile Data</li> <li>Address Redundant, Duplicated, and Unnecessary Data</li> <li>Work with Missing Value</li> <li>Address Invalid Data</li> <li>Convert Data to Meet Specifications</li> </ul> <h3>7 - Executing  Different Data  Manipulation  Techniques</h3> <ul> <li>Manipulate Field Data and Create Variables</li> <li>Transpose and Append Data</li> <li>Query Data</li> </ul> <h3>8 - Explaining  Common Techniques for  Data Manipulation and  Optimization</h3> <ul> <li>Use Functions to Manipulate Data</li> <li>Use Common Techniques for Query Optimization</li> </ul> <h3>9 - Applying  Descriptive Statistical  Methods</h3> <ul> <li>Use Measures of Central Tendency</li> <li>Use Measures of Dispersion</li> <li>Use Frequency and Percentages</li> </ul> <h3>10 - Describing  Key Analysis Techniques</h3> <ul> <li>Get Started with Analysis</li> <li>Recognize Types of Analysis</li> </ul> <h3>11 - Understanding the Use  of Different Statistical  Methods</h3> <ul> <li>Understand the Importance of Statistical Tests</li> <li>Break Down the Hypothesis Test</li> <li>Understand Tests and Methods to Determine Relationships Between Variables</li> </ul> <h3>12 - Using the  Appropriate Type of  Visualization</h3> <ul> <li>Use Basic Visuals</li> <li>Build Advanced Visuals</li> <li>Build Maps with Geographical Data</li> <li>Use Visuals to Tell a Story</li> </ul> <h3>13 - Expressing  Business Requirements  in a Report Format</h3> <ul> <li>Consider Audience Needs When Developing a Report</li> <li>Describe Data Source Considerations For Reporting</li> <li>Describe Considerations for Delivering Reports and Dashboards</li> <li>Develop Reports or Dashboards</li> <li>Understand Ways to Sort and Filter Data</li> </ul> <h3>14 - Designing  Components for Reports  and Dashboards</h3> <ul> <li>Design Elements for Reports and Dashboards</li> <li>Utilize Standard Elements</li> <li>Creating a Narrative and Other Written Elements</li> <li>Understand Deployment Considerations</li> </ul> <h3>15 - Understand Deployment Considerations</h3> <ul> <li>Understand How Updates and Timing Affect Reporting</li> <li>Differentiate Between Types of Reports</li> </ul> <h3>16 - Summarizing the Importance of Data Governance</h3> <ul> <li>Define Data Governance</li> <li>Understand Access Requirements and Policies</li> <li>Understand Security Requirements</li> <li>Understand Entity Relationship Requirements</li> </ul> <h3>17 - Applying  Quality Control to Data</h3> <ul> <li>Describe Characteristics, Rules, and Metrics of Data Quality</li> <li>Identify Reasons to Quality Check Data and Methods of Data Validation</li> </ul> <h3>18 - Explaining Master Data Management Concepts</h3> <ul> <li>Explain the Basics of Master Data Management</li> <li>Describe Master Data Management Processes</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans CompTIA Data Plus (DA0-001) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the CompTIA Data Plus (DA0-001) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

CompTIA Network+

IT Certifications

CompTIA A+

CompTIA Security+

CompTIA Data+

<div>
</div>
<section>
<div>
<h2>About this training course</h2>
<p><strong>Business Impact:</strong> The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets.</p>
<p>Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li><strong><em>Eight business use cases</em></strong> covering their business impact, code walkthroughs for most all and solution approach.</li>
<li><strong><em>Industry data sets</em></strong> for participants to practice on and take home.</li>
<li>No software or complicated Python frameworks required.</li>
</ul>
</div>
</section>
<section>
<div id="accordion">
<div>
<div>

Training Objectives 

</div>
<div id="collapseOne">
<div>
<p>After the completion of this training course, participants will be able to:</p>
<ul>
<li>Understand digital oil field transformation and its impact on business</li>
<li>Examine machine learning methods</li>
<li>Review workflows and code implementations</li>
<li>After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Target Audience 

</div>
<div id="collapseTwo">
<div>
<p>This training course is suitable and will greatly benefit the following specific groups:</p>
<ul>
<li>Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Course Level 

</div>
<div id="collapsecl">
<div>
<ul>
<li>Intermediate</li>
<li>Advanced</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Training Methods 

</div>
<div id="collapseThree">
<div>
<p><span>The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution.</span></p>
<p><em><span>Course Duration: 2 days in total (14 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts</li>
<li>Knowledge of Python is not a must but preferred to get the full benefit.</li>
<li>The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises</li>
<li>Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free)</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Trainer

</div>
<div id="collapseFive">
<div>
<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

EnergyEdge - Training for a Sustainable Energy Future

Renewable Energy

Oil & Gas

Data Analytics Workflows for Artificial Lift, Production and Facility Engineers

Team of 10, pp

Normal Fee, pp

<div>
</div>
<section>
<div>
<h2>About this training course</h2>
<p>Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion.</p>
<p>Understanding of these important production concepts is a must have to exploit the existing assets profitably.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li>Hands-on usage of <strong>SNAP Software</strong> to solve gas-lift exercises</li>
<li>Discussion on <strong>digital oil field</strong></li>
<li><strong>Machine learning</strong> <strong>applications</strong> in gas-lift optimization</li>
</ul>
</div>
</section>
<section>
<div id="accordion">
<div>
<div>

Training Objectives 

</div>
<div id="collapseOne">
<div>
<p>After the completion of this training course, participants will be able to:</p>
<ul>
<li>Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses</li>
<li>Easily recognize the different components from downhole to the surface and their basic structural and operational features</li>
<li>Design and analyze different components using appropriate software tools</li>
<li>Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation</li>
<li>Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization</li>
<li>Learn about use cases of Machine learning and artificial intelligence in the artificial lift</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Target Audience 

</div>
<div id="collapseTwo">
<div>
<p>This training course is suitable and will greatly benefit the following specific groups:</p>
<ul>
<li>Production, reservoir, completion, drilling and facilities engineers, analysts, and operators</li>
<li>Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course.</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Course Level 

</div>
<div id="collapsecl">
<div>
<ul>
<li>Intermediate</li>
<li>Advanced</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Training Methods 

</div>
<div id="collapseThree">
<div>
<p><span>The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization.</span></p>
<p><em><span>Course Duration: 5 days in total (35 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts.</li>
<li>Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software.</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Trainer

</div>
<div id="collapseFive">
<div>
<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

Artificial Lift and Real-Time Production Optimization in Digital Oilfield

<div>
</div>
<section>
<div>
<h2>About this training course</h2>
<p>Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts.</p>
<p>This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li>Hands-on usage of <strong>SNAP Software</strong> to solve gas-lift exercises</li>
<li>Discussion on <strong>digital oil field</strong></li>
<li><strong>Machine learning</strong> <strong>applications</strong> in gas-lift optimization</li>
</ul>
</div>
</section>
<section>
<div id="accordion">
<div>
<div>

Training Objectives 

</div>
<div id="collapseOne">
<div>
<p>After the completion of this training course, participants will be able to:</p>
<ul>
<li>Understand the fundamental theories and procedures related to Gas-Lift operations</li>
<li>Easily recognize the different components of the gas-lift system and their basic structural and operational features</li>
<li>Be able to design a gas-lift installation</li>
<li>Comprehend how digital oilfield tools help address ESP challenges</li>
<li>Examine recent advances in real-time approaches to the production monitoring and lift management</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Target Audience 

</div>
<div id="collapseTwo">
<div>
<p>This training course is suitable and will greatly benefit the following specific groups:</p>
<ul>
<li>Production, reservoir, completion, drilling and facilities engineers, analysts, and operators</li>
<li>Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Course Level 

</div>
<div id="collapsecl">
<div>
<ul>
<li>Intermediate</li>
<li>Advanced</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Training Methods 

</div>
<div id="collapseThree">
<div>
<p><span>The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization.</span></p>
<p><em><span>Course Duration: 5 days in total (35 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts.</li>
<li>Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software.</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Trainer

</div>
<div id="collapseFive">
<div>
<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

Gas Lift Design & Optimization using NODAL Analysis

<div>
</div>
<section>
<div>
<h2>About this training</h2>
<p>The Seismic Uncertainty Evaluation (SUE) course has evolved after a number of years of work experience in the sub-surface domain. A common question closely related to well planning is the quantification and qualification of depth uncertainty and robust estimation of the volumetric ranges, and this course addresses these topics.</p>
</div>
</section>
<section>
<div id="accordion">
<div>
<div>

Training Objectives 

</div>
<div id="collapseOne">
<div>
<p>Upon completion of this course, participants will be able to:</p>
<ul>
<li>Define a structured approach toward seismic depth uncertainty analysis</li>
<li>Construct data analytics on seismic products (well logs, velocities, and seismic)</li>
<li>Classify advance vertical ray tomography on FWI models to assure a drill ready depth seismic, faults, surfaces, and logs</li>
<li>Interpret probabilistic volumetric and automatic spill point control, amplitude conformance closures</li>
<li>De-risk the depth uncertainty by providing drilling and completion with a risking score card</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Target Audience 

</div>
<div id="collapseTwo">
<div>
<p>This course is intended for individuals who needs to understand the basic theory and procedures for assessment/ quantification/qualification of all drill-ready products (seismic, faults, horizons, etc.)</p>
<ul>
<li>Geologist</li>
<li>Geophysicist</li>
<li>Reservoir engineer</li>
<li>Drilling engineer</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Course Level 

</div>
<div id="collapsecl">
<div>
<ul>
<li>Intermediate</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Trainer

</div>
<div id="collapseFive">
<div>
<p>Your expert course leader is a cross-functional Geoscientist and Published Author with 27 years of international experience working in Upstream Petroleum Exploration and Production for Oil and Gas Companies in Australia, India, Singapore, Saudi Arabia, and Oman. During his career he actively supported field development, static &amp; dynamic reservoir modelling &amp; well planning, 3D Seismic data acquisition with Schlumberger &amp; SVUL, 3D seismic data processing with CGG &amp; interpretation, Q.I. and field development with Woodside, Applied Geoscience, and Reliance. </p>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

442 Courses

Essential Training on Deep Learning Heuristic using R

By Skill Up

No-Code Machine Learning Using Amazon AWS SageMaker Canvas

By Packt

SQL NoSQL Big Data and Hadoop

By Janets

Excel Pro Tips: 75+ Tips to go from Excel Beginner to Pro [v]

By Packt

SEO and Digital Marketing Diploma

By iStudy UK

Data Analysis Course

By Lead Academy

Data Visualization in Stata

By Packt

Python for Machine Learning and Data Analytics

By NextGen Learning

Become Digital Marketing PRO in NO TIME - 12 Courses in 1

By iStudy UK

Key Account Management Course

By One Education

Search By Location