Name: OTHM Level 7 Diploma in Immersive Software Engineering
Price: 1164.24 GBP
Availability: InStock

<p><strong>Start Your Journey to Becoming a Data Analyst Expert Today, and Make Up to •75,000<br /></strong><br />The <strong>data analytics</strong> field is growing rapidly, and there is a high demand for qualified data analysts. With our Data Analyst Program, you can learn the skills you need to succeed in this exciting field. We will help you until you find a job, so you won't have to worry about a thing. Just gain knowledge and learn skills, getting you a job is our duty. Enrol today and take your career to the next level!</p><p>With our program, we go above and beyond traditional training. We understand that landing a job isn't just about having the right skills-<strong>it's about having the right support system by your side</strong>. That's why we are committed to being with you every step of the way, from your <strong>job search</strong> to your ultimate success<strong>.</strong><br /><br /></p><p><strong>Why Choose Us</strong></p><p>Here's what makes our Data Analyst Program stand out from the crowd:</p><ul><li><strong>Personalised Job Search Assistance:</strong> We're in this together! Our dedicated team will work tirelessly to support your entire job searching process. From crafting a standout resume to submitting it to top companies, we'll ensure you have a compelling application that gets noticed.</li></ul><ul><li><strong>Expertly Crafted CV:</strong> Your resume is your ticket to the interview room. Our professional resume writers will create a customised CV highlighting your unique skills and experiences. This will maximise your chances of standing out among the competition.</li></ul><ul><li><strong>Strategic Placement:</strong> We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals.</li></ul><ul><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the data analysis field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and finesse.</li></ul><ul><li><strong>Comprehensive Skill Development:</strong> Our program is designed to equip you with the most sought-after skills in data analysis. From mastering cutting-edge tools to honing your analytical prowess, we'll ensure you have the knowledge and expertise to excel in any data-driven environment.</li></ul><p><strong>Here are the 25 courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Data Analysis</li><li>Course 02: Data Science &amp; Machine Learning with R</li><li>Course 03: Data Analytics with Tableau</li><li>Course 04: SQL Programming</li><li>Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li>Course 06: Data Analytics</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Google Analytics</li><li>Course 09: Business Intelligence and Data Mining</li><li>Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li>Course 11: JavaScript Functions</li><li>Course 12: Data Protection and Data Security (GDPR) Training Certification</li><li>Course 13: GDPR Training</li><li>Course 14: Diploma in Python Programming</li><li>Course 15: Data Center Training Essentials: General Introduction</li><li>Course 16: Quick Data Science Approach from Scratch</li><li>Course 17: Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 18: Master JavaScript with Data Visualization</li><li>Course 19: Data Analysis and Forecasting in Excel</li><li>Course 20: AWS Certified Solutions Architect Associate Preparation</li><li>Course 21: Statistical Analysis Course</li><li>Course 22: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 23: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 24: Data Analysis &amp; Forecasting</li><li>Course 25: Data Structure</li></ul><p>These courses will help you to develop your knowledge and skills to become a successful data analyst.</p> <p>The Program is completed in 5 easy steps:</p><p><strong>Step 1 - Enrol in the program and start learning from the courses we provide</strong></p><p>After you enrol in the Data Analyst Program, you will get lifetime access to 25 premium courses related to data analysis. These courses will teach you the knowledge and skills required to become a successful data analyst. Our customer service team will help you and keep in contact with you every step of the way.</p><p><strong>Step 2 - Complete your courses and get certifications</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks for the first course and 80% for the rest relevant courses. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 3 - Get a consultation session from a professional data analyst</strong></p><p>Take your data analysis skills to new heights with a one-on-one consultation session led by a seasoned professional. Gain invaluable insights, expert tips, and tailored advice that will propel your career forward.</p><p><strong>Step 4 - Complete the CV and attend the interview</strong></p><p>Once you've successfully obtained the certifications, our team of professionals will build you a compelling CV and LinkedIn profile. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Kickstart your IT career with a starting salary ranging from •25,000 to •40,000 annually. Step into the IT industry with the assurance of a promising future.</p><p><strong>Step 5 - We will not leave you until you get a job</strong></p><p>Our commitment to your success goes above and beyond. We won't stop until you land that dream job. With personalised support, expert guidance, and unwavering dedication, we'll be by your side until you secure the perfect opportunity. Your job search becomes our mission, ensuring you have the best chance at a successful career in data analysis.</p><p>Don't let your dream career as a data analyst remain out of reach. You just have to learn and gain knowledge and skills. Finding a job is our task! We will remove most of your worries and help you focus on only developing your skills. So join our Data Analyst Program today, and let us be your trusted partner on your journey to success.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 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 Data Analyst Program is ideal for:</p><ul><li>Aspiring data analysts eager to launch a successful career in the field.</li><li>Recent graduates seeking practical skills and industry insights to stand out in a competitive job market.</li><li>Professionals looking to transition into the dynamic world of data analysis and capitalise on emerging opportunities.</li><li>Individuals with a passion for numbers, problem-solving, and uncovering meaningful insights from complex datasets.</li><li>Job seekers seeking comprehensive support and guidance throughout the entire job searching and job finding process.</li></ul><p><strong>Please Note</strong>: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Our Data Analyst Program equips you with the skills to excel in data analysis roles. You'll thrive as a data analyst, data scientist, business analyst, or market research analyst, unlocking opportunities in diverse industries such as finance, healthcare, e-commerce, and technology.</p><p>Act now, and let us guide you towards a brighter future. Enrol today!</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>The Quality Licence Scheme Endorsed Certificate of Achievement</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Studyhub UK

Business Analyst

Business Analytics & Intelligence

Data Engineering

Big Data Analytics

Data Science

Data Analyst

Certified Data Analyst Pathway  - Job Ready Program with Career & Money Back Guarantee

General Admission

<p>According to recent studies, the demand for data analysis and data science professionals is on the rise, with the industry expected to grow by almost 30% in the next decade. In today's digital world, having the skills to analyse and interpret data has never been more crucial, and it's never too late to start learning. In the UK alone, there are over 100,000 job openings in data analysis and data science, with salaries ranging from £40,000 to £100,000 per year.</p><p>This is why we are proud to introduce the Data Analysis, Data Analytics with Tableau &amp; Data Science &amp; Machine Learning with R bundle, the ultimate learning experience for anyone looking to boost their skills in this field. This bundle is a testament to the high quality of education that can be achieved through QLS-endorsed courses. With three such courses included in this bundle, learners are sure to receive a top-notch education that is both informative and engaging.</p><p>Investing in your education is always a wise choice, and with 3 QLS Endorsed certificates to your name, you can be sure that you're double boosting your resume. Apart from the QLS courses, the learners will get access to 10 CPD courses that are in line with the subject matter. These will enhance your overall understanding as well as broaden your knowledge.</p><p>Whether you're a beginner or have some experience in the field, this bundle has something for everyone. So why wait? Start your journey to a successful career in data analysis and data science today!</p><p><strong>QLS Endorsed Courses:</strong></p><ul><li><strong>Course 01:</strong> Diploma in Data Analysis Fundamentals at QLS Level 5</li><li><strong>Course 02:</strong> Advanced Diploma in Data Analytics with Tableau at QLS Level 6</li><li><strong>Course 03:</strong> Advanced Diploma in Data Science &amp; Machine Learning with R at QLS Level 7</li></ul><p><strong>CPD QS Accredited Courses:</strong></p><ul><li><strong>Course 04: </strong>Microsoft Excel - Beginner, Intermediate &amp; Advanced</li><li><strong>Course 05:</strong> Conditional Formatting in Excel</li><li><strong>Course 06:</strong> Excel Lesson for Beginners: Create Pivot Table</li><li><strong>Course 07:</strong> Data Center Training Essentials: General Introduction</li><li><strong>Course 08:</strong> Google Data Studio: Data Analytics</li></ul><p>Take your career to the next level with our bundle that includes not only technical courses but also <strong>five guided courses</strong> focused on personal development and <strong> career growth.</strong></p><ul><li><strong>Course 09: </strong>Leadership and Management Course</li><li><strong>Course 10:</strong> Career Development and Passion</li><li><strong>Course 11: </strong>Professional CV Writing</li><li><strong>Course 12: </strong>Boost Your Confidence and Self-Esteem</li><li><strong>Course 13: </strong>Public Speaking: Confident Delivery Skills</li></ul><p><strong>learning outcomes </strong></p><ul><li>Understanding of basic data analysis techniques and tools</li><li>Knowledge of data visualisation and reporting using Tableau</li><li>Ability to perform data analysis using R programming language</li><li>Understanding of data science and machine learning algorithms</li><li>Ability to create predictive models and interpret results</li></ul><p><strong>Basic Data Analysis</strong>: This course provides an introduction to data analysis techniques and tools. You'll learn how to collect, clean, and analyse data, as well as how to interpret results and create meaningful visualisations.</p><p><strong>Introduction to Data Analytics with Tableau:</strong> In this course, you'll learn how to use Tableau to analyse and visualise data. You'll learn how to connect to data sources, create reports, and publish interactive dashboards.</p><p><strong>2021 Data Science &amp; Machine Learning with R from A-Z: </strong>This comprehensive course covers data science and machine learning using R programming language. You'll learn how to perform data analysis, create predictive models, and interpret results.</p><p><strong>Certification</strong></p><p>Learners will qualify for the <strong>highly sought-after QLS Endorsed Certificate</strong> after successfully passing the assessment at the conclusion of each endorsed course.</p><p><strong>The Quality Licence Scheme</strong> is a credible and renowned endorsement that marks <strong>high quality</strong><strong>and excellence</strong> in the UK. It is well accepted and sought after by industry experts and recruiters.</p><p>Learners who purchase this bundle will receive <strong>Three Hardcopy QLS Certificates at their door!</strong></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        30 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>Business professionals and managers who want to improve their data analysis skills</li><li>Marketing and sales professionals who want to gain a deeper understanding of customer behaviour and preferences</li><li>IT professionals who want to specialise in data analysis and machine learning</li><li>Data analysts and data scientists who want to expand their skill set</li><li>Anyone who is interested in learning about data analysis, data science, and machine learning.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £40,000 to £70,000</li><li>Data Scientist: £50,000 to £100,000</li><li>Business Intelligence Analyst: £45,000 to £80,000</li><li>Data Engineer: £55,000 to £100,000</li><li>Data and Analytics Manager: £70,000 to £120,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

One Education

Data Analysis,  Data Analytics with Tableau & Data Science & Machine Learning with R Course

Packt

Data Visualization

Security

Data Processing

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.

AWS Certified Data Analytics Specialty (2023) Hands-on

<p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud and corruption.</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course objectives</strong></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course aims to increase and enhance delegates&rsquo; understanding of the various procurement fraud and corruption threats which impact upon them and the organisations, sectors and regions in which they operate and provide them with the tools necessary to mitigate those threats.</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who should attend</strong></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is aimed at a wide range of people since financial crime impacts upon every sector and at every level since it continues to manifest itself globally. Thus, it would be of value to those working in:</p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Supply chain risk management professionals</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Public and private sector</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Risk and compliance professionals</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Those organisations that are expanding into emerging markets, joint ventures and mergers</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Accountants and auditors</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Project organisations</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Procurement fraud and corruption investigators</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Organisations subject to external sanctions and wish to show a holistic lessons learnt approach</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course outline</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Nature and scope of procurement fraud</li><li fr-original-style="" style="box-sizing: border-box;">Manipulation of the procurement process with global case examples and live case studies provided to illustrate each step in the manipulation process</li><li fr-original-style="" style="box-sizing: border-box;">Examination and analysis of individual and/or organised crime within the procurement cycle</li><li fr-original-style="" style="box-sizing: border-box;">Creation of a procurement fraud risk lifecycle within an organisation</li><li fr-original-style="" style="box-sizing: border-box;">Examination of the essential components for an effective and robust due diligence process and related procedures</li><li fr-original-style="" style="box-sizing: border-box;">Collection, collation, exploration and evaluation of the data sources available to profile procurement fraud risk within an organisation</li><li fr-original-style="" style="box-sizing: border-box;">Creating anonymous procurement fraud and corruption reporting vectors including hotlines and whistle-blower protection frameworks</li><li fr-original-style="" style="box-sizing: border-box;">Exploring the nature and impact of the use of technology and data analytics to identify actual and potential procurement fraud and corruption</li><li fr-original-style="" style="box-sizing: border-box;">Procurement fraud and corruption typologies from a national, regional and global perspective</li><li fr-original-style="" style="box-sizing: border-box;">Designing of an organisational risk mitigation framework</li><li fr-original-style="" style="box-sizing: border-box;">Creation and operation of a rapid and systematic anti-corruption and procurement fraud response</li><li fr-original-style="" style="box-sizing: border-box;">Creation and management of an effective counter fraud culture</li><li fr-original-style="" style="box-sizing: border-box;">Determination of the tender process with the identification of choke points and areas of vulnerability</li><li fr-original-style="" style="box-sizing: border-box;">Establishing and monitoring of conflicts of interest</li><li fr-original-style="" style="box-sizing: border-box;">Obtaining and maintaining an independent quality assurance mechanism</li><li fr-original-style="" style="box-sizing: border-box;">Identifying and utilising a range of fraud identification and analysis tools and techniques</li><li fr-original-style="" style="box-sizing: border-box;">Determining and detailing various specialist and technical support functions and personnel</li><li fr-original-style="" style="box-sizing: border-box;">Using data to create an operational, tactical and strategic response</li></ul><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Instructor</strong></div><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><img src="https://images.cademy.co.uk/77842eb4-001c-4e19-9d72-b04b772377b2/8da06b17-cfed-4ced-b668-8e1a80ffcc74/original.jpeg" style="width: 170px; display: inline-block; vertical-align: bottom; margin: 5px 0px; text-align: left; cursor: auto; max-width: calc(100% - 5px); float: left; padding: 0px 1px; user-select: none; position: relative; box-sizing: border-box;" fr-original-style="width: 170px; display: inline-block; vertical-align: bottom; margin: 5px 0px; text-align: left; cursor: auto; max-width: calc(100% - 5px); float: left;" fr-original-class="fr-draggable"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">S</span></strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-family: Cambria, serif; box-sizing: border-box;" fr-original-style="font-family: Cambria, serif;">teve has over 25 years and extensive professional expertise in procurement fraud and corruption risk identification and the design of risk frameworks to combat the impact of revenue loss</span></strong></span><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">&nbsp;</span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">Steve is the Company Director of Global Risk Alliance Ltd and the author of Procurement fraud and Corruption: How to identify and mitigate procurement fraud and corruption risk. &nbsp;He was the technical working group lead for the design and creation of British Standard BS10501: Guide to implementing Procurement Fraud Controls.</span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">A former Head of Intelligence and Head of Anti-corruption capabilities in UK Law Enforcement involved in the investigation of high value and complex fraud and corruption cases both in the UK and internationally. He was also part of the UK Working Group on Bribery in International Business.</span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; text-align: justify; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">He is the former Global Corruption Risk Advisor to the Chartered Institute of Procurement and Supply advising members on contract risk review and risk identification and mitigation approach. He has provided international consultancy and training programmes in various sectors including oil and gas, engineering, public sector, retail, media and local government in the Middle East, Australia, Kazakhstan, UK, West Africa and Indonesia.</span></p>

This training programme will provide students involved at any stage of the business management and operations process with the knowledge and skillset to assess the bribery and corruption risk that an organisation or project faces and identify opportunities to mitigate potential threats.
Course objectives
This course aims to increase and enhance delegates’ understanding of the various bribery, corruption and associated financial crime and money laundering threats that can impact their organisation, sector and region in which they operate and provide a risk assessment methodology that assists an operational, management and strategic mitigation response to risk.
Who should attend
This course is aimed at a leaders, management and staff that are actively involved in the bribery and corruption risk assessment process. It is recommended that a broad range of expertise is involved as part of a risk assessment approach, thus, this training programme would be of value to those working in:
Supply chain risk management professionals
Public and private sector
Risk and compliance professionals
Those organisations that are expanding into emerging markets, joint ventures and mergers
Accountants and auditors
Project organisations
Procurement fraud and corruption investigators
Organisations subject to external sanctions and wish to show a holistic lessons learnt approach
Course outline
Nature and scope of bribery, corruption and associated financial crime and money laundering methodology
Risk assessment concept and methodology
Planning approach to corruption risk assessment
Comparative analysis of current risk assessment approach with global best practice to identify potential risks with the current approach to risk
Identifying data sources that support a corruption risk assessment
Insider threat indicators and consequences
Creating an anti-corruption environment and the benefit in introducing a total quality ownership approach
External bribery risk indicators and barriers including financial crime and money laundering threats
The benefits and method of introducing a risk model as part of an annual risk assessment
Risk assessment methodology within projects
Creating a corruption response plan
Designing of an organisational risk mitigation framework
How to introduce a decision making and change management response to bribery and corruption risk
Course Instructor

Steve has over 25 years and extensive professional expertise in procurement fraud and corruption risk assessment, identification and analysis including the design of risk frameworks to combat the impact of revenue loss.
Steve is the Company Director of Global Risk Alliance Ltd and the author of Procurement fraud and Corruption: How to identify and mitigate procurement fraud and corruption risk. He was the technical working group lead for the design and creation of British Standard BS10501: Guide to implementing Procurement Fraud Controls.
In addition to his consultancy work, Steve provides global and virtual training programmes to clients in the field of anti-corruption, anti-money laundering and terrorist financial, countering procurement fraud and associated financial crime risks. The programmes have provided to both public and private sectors, law enforcement and not for profit.
A former Head of Intelligence and Head of Anti-corruption capabilities in UK Law Enforcement involved in the investigation of high value and complex fraud and corruption cases both in the UK and internationally. He was also part of the UK Working Group on Bribery in International Business.
He is the former Global Corruption Risk Advisor to the Chartered Institute of Procurement and Supply advising members on contract risk review and risk identification and mitigation approach. He has provided international consultancy and training programmes in various sectors including oil and gas, engineering, public sector, retail, media and local government in the Middle East, Australia, Kazakhstan, UK, West Africa and Indonesia.

Global Risk Alliance Ltd

Procurement & Supply

Corporate Affairs

Fraud Awareness

Anti Bribery & Corruption

Our training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud, corruption and associated financial crime and money laundering.

Bribery and corruption risk assessment

General admission

Multiple attendees

<p>Are you looking for a career in Data Science &amp; Python? Do you want to learn the skills you need to succeed in this exciting Data Science &amp; Python field? If so, then the Data Science &amp; Python - Career Mentoring &amp; Support with Job Opportunity program is perfect for you! Enrol Data Science &amp; Python today and earn upto •90,000 with the help of our guidance.</p><p>We will help you until you find a job, so you won't have to worry about a thing. Just gain knowledge and learn Data Science &amp; Python skills, getting you a job is our duty. You will receive career mentoring and support from our experienced team of professionals. We will help you develop your resume, network with potential employers, and land your dream job!</p><p>We are committed to being with you every step of the way, from your job search to your ultimate success.</p><p><strong>Why Choose Us</strong></p><p>Our mission is simple: to be your trusted partner and assist you every step of the way until you land the job of your dreams.</p><p>Here's what makes our Data Science &amp; Python Program stand out from the crowd:</p><ul><li><strong>Personalised Job Search Assistance:</strong> We're in this together! Our dedicated team will work tirelessly to support your entire job searching process. From crafting a standout resume to submitting it to top companies, we'll ensure you have a compelling application that gets noticed.</li></ul><ul><li><strong>Expertly Crafted CV:</strong> Your resume is your ticket to the interview room. Our professional resume writers will create a customised CV highlighting your unique skills and experiences. This will maximise your chances of standing out among the competition.</li></ul><ul><li><strong>Strategic Placement:</strong> We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals.</li></ul><ul><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science &amp; Python field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and finesse.</li></ul><ul><li><strong>Comprehensive Skill Development:</strong> Our program is designed to equip you with the most sought-after skills in Data Science &amp; Python. From mastering cutting-edge tools to honing your skills, we'll ensure you have the knowledge and expertise to excel in any Data Science &amp; Python environment.</li></ul><ul><li><strong>Ongoing Support:</strong> We understand that the journey to landing your dream job doesn't end with placement. That's why our commitment to your success extends well beyond your initial training. Our support team will be available to answer your questions, provide guidance, and assist you as you progress in your career.</li></ul><p><strong>Here are the 25 courses we will provide once you enrol in the program:</strong></p><ul><li>Python Basic Programming for Absolute Beginners</li><li>Intermediate Python Coding</li><li>Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>SQL for Data Science, Data Analytics and Data Visualization</li><li>Learn MySQL from Scratch for Data Science and Analytics</li><li>Computer Science with Python Course</li><li>Machine Learning Course with Python</li><li>Python 3 Programming</li><li>Diploma in Python Programming</li><li>Python Data Science with Numpy, Pandas and Matplotlib</li><li>Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3</li><li>Advanced Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning at QLS Level 7</li><li>Learn Python, JavaScript, and Microsoft SQL for Data science</li><li>Quick Data Science Approach from Scratch</li><li>Data Science &amp; Machine Learning with R from A-Z</li><li>R Programming for Data Science</li><li>Clinical Data Management with SAS Programming</li><li>Information Governance and Data Management Training</li><li>Electronic Document Management: Efficient Data Handling</li><li>Cyber Security Awareness Training</li><li>AWS Certified Solutions Architect Associate Preparation</li><li>CompTIA Cloud+ (CV0-002)</li><li>IT Administration and Networking</li><li>CompTIA Network+ Certification (N10-007)</li><li>CompTIA PenTest+ (Ethical Hacking) course</li></ul><p>These courses will help you to develop your knowledge and skills to become a successful Data Science &amp; Python Expert.</p> <p>The Program is completed in 5 easy steps:</p><p><strong>Step 1 - Enrol in the program and start learning from the courses we provide</strong></p><p>After you enrol in the Data Science &amp; Python Program, you will get lifetime access to 25 premium courses related to Data Science &amp; Python. These courses will teach you the knowledge and skills required to become a successful Data Science &amp; Python Expert. Our customer service team will help you and keep in contact with you every step of the way.</p><p><strong>Step 2 - Complete your courses and get certifications</strong></p><p>After learning from the Data Science &amp; Python courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks for the first course and 80% for the rest relevant courses. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 3 - Get a consultation session from a professional</strong></p><p>Take your Data Science &amp; Python skills to new heights with a one-on-one consultation session led by a seasoned professional. Gain invaluable insights, expert tips, and tailored advice that will propel your career forward.</p><p><strong>Step 4 - Complete the CV and attend the interview</strong></p><p>Once you've successfully obtained the certifications, our team of professionals will build you a compelling CV and LinkedIn profile. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Kickstart your Data Science &amp; Python career with a starting salary ranging from •25,000 to •40,000 annually. Step into the industry with the assurance of a promising future.</p><p><strong>Step 5 - We will not leave you until you find a job</strong></p><p>Our commitment to your success goes above and beyond. We won't stop until you land that dream job. With personalised support, expert guidance, and unwavering dedication, we'll be by your side until you secure the perfect opportunity. Your job search becomes our mission, ensuring you have the best chance at a successful career in Data Science &amp; Python</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
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                                <div>
                                    <div>
                                        300 CPD hours / points
                                    </div>
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                                            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 Data Science &amp; Python program is ideal for:</p><ul><li>Recent Data Science &amp; Python graduates seeking practical guidance and support in their career journey.</li><li>Professionals looking to transition into the Data Science &amp; Python field and in need of targeted mentoring and job placement assistance.</li><li>Individuals who want to enhance their Data Science &amp; Python skills and improve their job prospects in the industry.</li><li>Career changers who aspire to become Data Science &amp; Python and require comprehensive training and guidance.</li><li>Anyone who wants personalised support in building a strong CV and navigating the competitive job market in the Data Science &amp; Python sector.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
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        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After successfully completing this Data Science &amp; Python program, you can explore these career pathways:</p><ul><li>Data Analyst: •25,000 - •55,000 per year</li><li>Data Scientist: •40,000 - •85,000 per year</li><li>Machine Learning Engineer: •50,000 - •100,000 per year</li><li>Data Engineer: •45,000 - •80,000 per year</li><li>Business Intelligence Analyst: •35,000 - •65,000 per year</li><li>Data Science Manager: •70,000 - •120,000 per year.</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter </h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>The Quality Licence Scheme Endorsed Certificate of Achievement</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Data Skills

Data Scientist with Python - IT Job Ready Program + Career Support & Money Back Guarantee

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					<div><p>The comprehensive Data Analytics with Tableau has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Data Analytics with Tableau today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Data Analytics with Tableau has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Data Analytics with Tableau is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Data Analytics with Tableau is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. The Data Analytics with Tableau is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Data Analytics with Tableau, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Data Analytics with Tableau will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Data Analytics with Tableau to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

Data Analytics with Tableau

<p>Recent developments in data analytics and statistics underscore the critical importance of understanding both data structure and analytics methodologies in today's data-driven world. With the exponential growth of data, businesses are increasingly relying on skilled professionals who can harness the power of data to drive informed decision-making. Our comprehensive <strong>Data Structure, Data Analytics with Statistics &amp; Data Science  QLS Endorsed Diploma </strong>bundle, endorsed by the Quality Licence Scheme (QLS) and accredited by the CPD Quality Standards (QS), offers a holistic approach to mastering data structure, data analytics, and statistical techniques.</p><p>In an era where data reigns supreme, organisations seek individuals who can navigate complex datasets with confidence and precision. This Data Structure, Data Analytics bundle equips learners with the essential skills and knowledge needed to excel in the field of data science and analytics. By delving into topics such as data manipulation, statistical analysis, and database management, participants gain a deep understanding of how to extract valuable insights from raw data. Moreover, our guided courses in career development and communication empower learners to effectively communicate their findings and advance their professional journey.</p><p><strong>Bundle Include includes:</strong></p><p><strong>QLS Endorsed Courses:</strong></p><ul><li><strong>Course 01:</strong> Certificate in Data Analytics with Tableau at QLS Level 3</li><li><strong>Course 02:</strong> Diploma in Data Structure at QLS Level 5</li><li><strong>Course 03:</strong> Advanced Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning at QLS Level 7</li></ul><p><strong>CPD QS Accredited Courses:</strong></p><ul><li><strong>Course 04:</strong> Business and Data Analytics for Beginners</li><li><strong>Course 05:</strong> Learn Financial Analytics and Statistical Tools</li><li><strong>Course 06: </strong>SQL For Data Analytics &amp; Database Development</li><li><strong>Course 07:</strong> Big Data Analytics with PySpark Power BI and MongoDB</li><li><strong>Course 08</strong>: Google Data Studio: Data Analytics </li><li><strong>Course 09: </strong>Business Intelligence Analyst</li><li><strong>Course 10</strong>: Spatial Data Visualization and Machine Learning in Python</li><li><strong>Course 11:</strong> Data Analysis In Excel</li></ul><p>Take your career to the next level with our Data Structure, Data Analytics bundle that includes technical courses and five guided courses focused on personal development and career growth.</p><ul><li><strong>Course 12:</strong> Career Development Plan Fundamentals</li><li><strong>Course 13</strong>: CV Writing and Job Searching</li><li><strong>Course 14:</strong> Networking Skills for Personal Success</li><li><strong>Course 15: </strong>Ace Your Presentations: Public Speaking Masterclass</li><li><strong>Course 16</strong>: Decision Making and Critical Thinking </li></ul><p>Seize this opportunity to elevate your career with our comprehensive Data Structure, Data Analytics bundle, endorsed by the prestigious QLS and accredited by CPD.Data Structure, Data Analytics with Statistics &amp; Data Science QLS Endorsed Diploma.</p><p><strong>Learning Outcomes:</strong></p><p>Upon completion of this Data Structure, Data Analytics bundle, participants will be able to:</p><ul><li>Demonstrate proficiency in data analytics tools such as Tableau, SQL, and Google Data Studio through Data Structure, Data Analytics courses.</li><li>Apply statistical techniques to analyse and interpret data for informed decision-making.</li><li>Design and implement data structures to efficiently store and retrieve information.</li><li>Utilise machine learning algorithms for predictive analysis and pattern recognition.</li><li>Develop effective communication and presentation skills to convey insights to stakeholders.</li><li>Navigate career development pathways in the field of data science and analytics.</li></ul><p>This Data Structure, Data Analytics course bundle provides a deep dive into the foundational principles of data structure, data analytics, and statistical methodologies. Participants will explore the fundamental concepts of data manipulation, including sorting, searching, and storing data efficiently. Through hands-on exercises and theoretical discussions, learners will gain a solid understanding of various data structures such as arrays, linked lists, trees, and graphs, along with their applications in real-world scenarios.</p><p>Moreover, the Data Structure, Data Analytics bundle encompasses a comprehensive exploration of data analytics techniques, equipping participants with the skills to extract actionable insights from complex datasets. From descriptive and inferential statistics to predictive modelling and machine learning algorithms, learners will discover how to uncover patterns, trends, and correlations within data, enabling informed decision-making and strategic planning. Throughout the Data Structure, Data Analytics course, emphasis is placed on practical applications and case studies, allowing participants to apply their knowledge to solve real-world problems in diverse domains.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        160 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 Data Structure, Data Analytics course is perfect for:</p><ul><li>Aspiring data analysts seeking to enhance their analytical skills acrod Data Structure, Data Analytics courses. </li><li>Professionals transitioning into roles requiring proficiency in data analytics.</li><li>Students pursuing careers in data science, statistics, or related fields.</li><li>Business professionals looking to leverage data for strategic decision-making.</li><li>Individuals interested in advancing their career prospects in the field of data analytics.</li><li>Anyone seeking to gain a comprehensive understanding of data structure, analytics, and statistics.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You are warmly invited to register for this bundle. Please be aware that there are no formal entry requirements or qualifications necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon completion of the Data Structure, Data Analytics courses, you will be able to:</p><ul><li>Data Analyst</li><li>Business Intelligence Analyst</li><li>Data Scientist</li><li>Statistician</li><li>Database Administrator</li><li>Machine Learning Engineer</li><li>Data Engineer</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>13 CPD Quality Standard Certificates</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>3 QLS Endorsed Certificates</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Compliance Central

Data Structure, Data Analytics with Statistics & Data Science  QLS Endorsed Diploma

<p>In today's data-driven world, the ability to analyse and visualise data has become a highly valued skill. If you're interested in pursuing a career in data analytics, then our QLS Endorsed Data Analytics with Tableau at QLS Level 7 &amp; 6 bundle is the perfect place to start.</p><p>With 2 QLS-endorsed courses and 5 CPD QS-accredited courses, this bundle offers a comprehensive and rigorous curriculum designed to equip you with the skills and knowledge needed to succeed in the world of data analytics. The QLS-endorsed courses in Data Analytics and Introduction to Data Analytics with Tableau are designed to provide you with a strong foundation in data analysis and visualization using the powerful Tableau software. You'll learn how to collect, clean, and analyze data, as well as how to create compelling visualizations that communicate complex data insights to others. And with hardcopy certificates provided upon completion, you can showcase your achievements to potential employers.</p><p>In addition to these two courses, the bundle also includes five relevant CPD QS accredited courses, covering topics such as big data analytics, SQL, and data analysis in Excel. These courses will further enhance your skills and knowledge in the field, giving you a competitive edge in the job market.</p><p>Whether you're looking to start a career in data analytics or looking to upgrade your skills in the field, this bundle is designed to meet your needs. Enrol today and take the first step towards a rewarding career in data analytics.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Develop expertise in data analytics and learn to use industry-standard tools such as Tableau and Power BI.</li><li>Learn to clean, transform, and analyse large datasets using Python and PySpark.</li><li>Understand how to work with databases and visualise data using SQL and Tableau.</li><li>Develop skills in data visualisation and reporting to communicate insights effectively.</li><li>Understand how to use statistical techniques and models for data analysis and decision-making.</li><li>Learn how to work with unstructured data and data from different sources.</li><li>Develop critical thinking and problem-solving skills for data-driven decision-making.</li></ul><p><strong>QLS Endorsed Courses: </strong></p><ul><li><strong>Course 01:</strong>Advanced Diploma in Data Analytics at QLS Level 7</li><li><strong>Course 02:</strong>Advanced Diploma in Data Analytics with Tableau at QLS Level 6</li></ul><p><strong>CPD QS Accredited Courses:</strong></p><ul><li><strong>Course 03: </strong>Big Data Analytics with PySpark Power BI and MongoDB</li><li><strong>Course 04: </strong>Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li><strong>Course 05:</strong> SQL for Data Science, Data Analytics and Data Visualization</li><li><strong>Course 06: </strong>Basic Data Analysis</li><li><strong>Course 07: </strong>Data Analysis In Excel</li></ul><p>The QLS Endorsed Data Analytics with Tableau at QLS Level 7 &amp; 6 bundle is designed to provide you with the skills and knowledge needed to become a data analyst. This comprehensive bundle includes 2 QLS-endorsed courses, Data Analytics and Introduction to Data Analytics with Tableau, as well as 5 relevant CPD QS accredited courses. With these courses, you will learn to work with large datasets, use Python and PySpark for data cleaning and transformation, and create compelling visualisations with Tableau and Power BI. You will also learn to work with databases, use statistical techniques for data analysis, and develop critical thinking skills for data-driven decision-making.</p><p><strong>Certification</strong></p><p>Learners will qualify for the <strong>highly sought-after QLS Endorsed Certificate</strong> after successfully passing the assessment at the conclusion of each endorsed course.</p><p><strong>The Quality Licence Scheme</strong> is a credible and renowned endorsement that marks <strong>high quality and excellence</strong> in the UK. It is well accepted and sought after by industry experts and recruiters.</p><p>Learners who purchase this bundle will receive <strong>TWO Hardcopy QLS Certificates at their door!</strong></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        30 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>Professionals who want to develop skills in data analytics and visualisation to advance their careers.</li><li>Individuals who want to start a career in data analysis or business intelligence.</li><li>Students who want to learn the latest tools and techniques for data analytics and visualisation.</li><li>Business owners who want to make data-driven decisions and gain insights into their business operations.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Here are the potential career paths for individuals who complete the QLS Endorsed Data Analytics with Tableau at QLS Level 7 &amp; 6 bundle, along with their corresponding average salaries in the UK:</p><ul><li>Data Analyst - £32,500 - £45,000 per year</li><li>Business Intelligence Analyst - £35,000 - £55,000 per year</li><li>Data Scientist - £40,000 - £70,000 per year</li><li>Business Analyst - £30,000 - £50,000 per year</li></ul>
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        <div>Certificates</div>
    </h2>

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                                    <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Data Analytics with Tableau at QLS Level 6 & 7 Course

School of Business and Technology London

OTHM Level 7 Diploma in Immersive Software Engineering

<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>
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					<td colspan="4">Module 03: Professional Sports and Global Circuits</td>
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					<td><i></i></td>
					<td>Professional Sports and Global Circuits</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
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					<td colspan="4">Module 04: Strategic Management in Sports</td>
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					<td><i></i></td>
					<td>Strategic Management in Sports</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
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					<td colspan="4">Module 05: The Sports Organisational Structure</td>
				</tr>
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					<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>

Online Course Marketing

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+

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<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>
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Training Objectives 

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<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>
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Target Audience 

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<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>
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Course Level 

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<li>Intermediate</li>
<li>Advanced</li>
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Training Methods 

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<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>
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Trainer

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<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>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<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>
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Accreditions And Affliations

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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

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<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>
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Training Objectives 

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<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>
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Target Audience 

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<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>
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Course Level 

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<ul>
<li>Intermediate</li>
<li>Advanced</li>
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Training Methods 

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<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>
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Trainer

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<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>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<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>
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Accreditions And Affliations

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Artificial Lift and Real-Time Production Optimization in Digital Oilfield

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<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>
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Training Objectives 

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<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>
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Target Audience 

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<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>
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Course Level 

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<li>Intermediate</li>
<li>Advanced</li>
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Training Methods 

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<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>
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Trainer

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<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)

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<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>
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Accreditions And Affliations

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Gas Lift Design & Optimization using NODAL Analysis

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<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>
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Training Objectives 

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<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>
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Target Audience 

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<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>
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Course Level 

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<ul>
<li>Intermediate</li>
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Trainer

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<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>
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</div>
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<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>
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Accreditions And Affliations

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</section>

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