Name: Business Intelligence Analyst Course
Price: 25 GBP
Availability: InStock

<p>Give a compliment to your career and take it to the next level. This<strong> Sage Training </strong>bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Sage Training bundle will help you stay ahead of the pack.</p> <p>Throughout the Sage Training programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector.</p> <p>Along with this Sage Training course, you will get <strong>10 premium courses, an original hardcopy</strong>, <strong>11 PDF certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p> <p><strong>This Sage Training Bundle Consists of the following Premium courses: </strong> </p> <ul> <li><strong></strong><strong> Course 01: </strong>Diploma in Sage 50 Accounts</li><li><strong></strong><strong> Course 02: </strong>Accountancy</li><li><strong></strong><strong> Course 03: </strong>Level 3 Xero Training</li><li><strong></strong><strong> Course 04: </strong>Management Accounting Tools</li><li><strong></strong><strong> Course 05: </strong>Level 3 Tax Accounting</li><li><strong></strong><strong> Course 06: </strong>Business Analysis Level 3</li><li><strong></strong><strong> Course 07: </strong>Team Management</li><li><strong></strong><strong> Course 08: </strong>Corporate Finance: Working Capital Management</li><li><strong></strong><strong> Course 09: </strong>Certificate in Anti-Money Laundering (AML)</li><li><strong></strong><strong> Course 10: </strong>Financial Modelling Course - Learn Online</li><li><strong> Course 11:</strong> Budgeting and Forecasting</li></ul> <p>Enrol now in Sage Training to advance your career, and use the premium study materials from Apex Learning.</p> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong></strong><strong> PDF Certificate: Free (Previously it was </strong> <strong>£</strong><strong>10 * 11 = </strong><strong>£</strong><strong>110)</strong></li><li><strong></strong><strong> Hard Copy Certificate: Free (For The Title Course)</strong></li></ul> <p>PS The delivery charge inside the UK is £3.99, and international students have to pay £9.99.</p><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Sage Training expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p> <p><strong>Curriculum of Bundle </strong></p> <p><strong> Course 01: Diploma in Sage 50 Accounts</strong></p> <ul> <li>Sage 50 Bookkeeper - Coursebook</li><li>Introduction and TASK 1</li><li>TASK 2 Setting up the System</li><li>TASK 3 a Setting up Customers and Suppliers</li><li>TASK 3 b Creating Projects</li><li>TASK 3 c Supplier Invoice and Credit Note</li><li>TASK 3 d Customer Invoice and Credit Note</li><li>TASK 4 Fixed Assets</li><li>TASK 5 a and b Bank Payment and Transfer</li><li>TASK 5 c and d Supplier and Customer Payments and DD STO</li><li>TASK 6 Petty Cash</li><li>TASK 7 a Bank Reconnciliation Current Account</li><li>TASK 7 b Bank Reconciliation Petty Cash</li><li>TASK 7 c Reconciliation of Credit Card Account</li><li>TASK 8 Aged Reports</li><li>TASK 9 a Payroll</li><li>TASK 9 b Payroll</li><li>TASK 10 Value Added Tax - Vat Return</li><li>Task 11 Entering opening balances on Sage 50</li><li>TASK 12 a Year end journals - Depre journal</li><li>TASK 12 b Prepayment and Deferred Income Journals</li><li>TASK 13 a Budget</li><li>TASK 13 b Intro to Cash flow and Sage Report Design</li><li>TASK 13 c Preparation of Accountants Report &amp; correcting Errors (1)</li></ul> <p><strong> Course 02: Accountancy</strong></p> <ul> <li>Module 01: Introduction to Accounting</li><li>Module 02: The Role of an Accountant</li><li>Module 03: Accounting Concepts and Standards</li><li>Module 04: Double-Entry Bookkeeping</li><li>Module 05: Balance Sheet</li><li>Module 06: Income statement</li><li>Module 07: Financial statements</li><li>Module 08: Cash Flow Statements</li><li>Module 09: Understanding Profit and Loss Statement</li><li>Module 10: Financial Budgeting and Planning</li><li>Module 11: Auditing</li></ul> <p><strong> Course 03: Level 3 Xero Training</strong></p> <ul> <li>Introduction</li><li>Getting Started</li><li>Invoices and Sales</li><li>Bills and Purchases</li><li>Bank Accounts</li><li>Products and Services</li><li>Fixed Assets</li><li>Payroll</li><li>VAT Returns</li></ul> <p><strong> Course 04: Management Accounting Tools</strong></p> <ul> <li>Module 01: Introduction to Management Account</li><li>Module 02: Manufacturing Costs and Financial Statements</li><li>Module 03: Traditional Costing System - Job and Process</li><li>Module 04: Activity Based Costing System</li><li>Module 05: Activity Based Management</li><li>Module 06: Cost Behaviour and the Contribution Margin</li><li>Module 07: Cost Volume Profit</li><li>Module 08: Cost Volume Profit Analysis</li><li>Module 09: Incremental Analysis in Decision Making</li><li>Module 10: Budget Planning</li><li>Module 11: Budget Control And Responsibility Accounting</li><li>Module 12: Control Using Standard Costs and the Balanced Scorecard</li><li>Downloadable Resources</li></ul> <p><strong> Course 05: Level 3 Tax Accounting</strong></p> <ul> <li>Module 01: Tax System and Administration in the UK</li><li>Module 02: Tax on Individuals</li><li>Module 03: National Insurance</li><li>Module 04: How to Submit a Self-Assessment Tax Return</li><li>Module 05: Fundamentals of Income Tax</li><li>Module 06: Advanced Income Tax</li><li>Module 07: Payee, Payroll and Wages</li><li>Module 08: Capital Gain Tax</li><li>Module 09: Value Added Tax</li><li>Module 10: Import and Export</li><li>Module 11: Corporation Tax</li><li>Module 12: Inheritance Tax</li><li>Module 13: Double Entry Accounting</li><li>Module 14: Management Accounting and Financial Analysis</li><li>Module 15: Career as a Tax Accountant in the UK</li></ul> <p><strong> Course 06: Business Analysis Level 3</strong></p> <ul> <li>Module 01: Introduction to Business Analysis</li><li>Module 02: Business Processes</li><li>Module 03: Business Analysis Planning and Monitoring</li><li>Module 04: Strategic Analysis and Product Scope</li><li>Module 05: Solution Evaluation</li><li>Module 06: Investigation Techniques</li><li>Module 07: Ratio Analysis</li><li>Module 08: Stakeholder Analysis and Management</li><li>Module 09: Process Improvement with Gap Analysis</li><li>Module 10: Documenting and Managing Requirements</li><li>Module 11: Career Prospect as a Business Analyst in the UK</li></ul> <p><strong> Course 07: Presenting Financial Information</strong></p> <ul> <li>Module 01: Presenting Financial Information</li><li>Module 02: The Hierarchy of Performance Indicators</li><li>Module 03: The Principle of Effective Reports</li><li>Module 04: Guidelines for Designing Management Reports</li><li>Module 05: Methods of Presenting Performance Data</li><li>Module 06: The Control Chart: Highlighting the Variation in the Data</li><li>Module 07: The Pareto Chart: Highlighting Priorities</li><li>Module 08: Exercise: The Control Chart</li><li>Module 09: An Example Management Report</li><li>Module 10: Interpreting Performance Data</li><li>Module 11: Supporting Colleagues by Giving Feedback</li><li>Module 12: Data Visualisation Part 01</li><li>Module 13: Data Visualisation Part 02</li><li>Module 14: Data Visualisation Part 03</li><li>Module 15: Data Visualisation Part 04</li><li>Module 16: Final Thoughts on Presenting Financial Information</li></ul> <p><strong> Course 08: Corporate Finance: Working Capital Management</strong></p> <ul> <li>Module 01: Course Introduction</li><li>Module 02: Introduction to Working Capital Management</li><li>Module 03: Trade Credit and Receivable Management</li><li>Module 04: Payables Management</li><li>Module 05: Inventory Management Practices</li><li>Module 06: Cash Management Practice</li></ul> <p><strong> Course 09: Certificate in Anti Money Laundering (AML)</strong></p> <ul> <li>Module 01: Introduction to Money Laundering</li><li>Module 02: Proceeds of Crime Act 2002</li><li>Module 03: Development of Anti-Money Laundering Regulation</li><li>Module 04: Responsibility of the Money Laundering Reporting Office</li><li>Module 05: Risk-based Approach</li><li>Module 06: Customer Due Diligence</li><li>Module 07: Record Keeping</li><li>Module 08: Suspicious Conduct and Transactions</li><li>Module 09: Awareness and Training</li></ul> <p><strong> Course 10: Financial Modelling Course - Learn Online</strong></p> <ul> <li>Module 01: Basic Financial Calculations</li><li>Module 02: Overview of Financial Markets, Financial Assets, and Market Participants</li><li>Module 03: Financial Statement Modelling</li><li>Module 04: Types of Financial Models</li><li>Module 05: Sensitivity Analysis</li><li>Module 06: Sales and Revenue Model</li><li>Module 07: Cost of Goods Sold and Inventory Model</li><li>Module 08: Valuation Methods</li></ul> <p><strong> Course 11: Budgeting and Forecasting</strong></p> <ul> <li>Unit-1. Introduction</li><li>Unit-2. Detail Budget Requirement</li><li>Unit-3. Process of Making Budget</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        110 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>Anyone from any background can enrol in this Sage Training bundle.</p> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>This Sage Training course has been designed to be fully compatible with tablets and smartphones.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Having this expertise will increase the value of your CV and open you up to multiple job sectors.</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Apex Learning

Sage Training Courses

General Admission

<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				<div>
				<div>
			<h4>Overview</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p>Business Intelligence (BI) is increasingly vital in the corporate world, offering significant opportunities for professionals skilled in interpreting complex data to guide strategic decisions. With the global expansion of data-driven strategies, the demand for BI analysts is on the rise, making this field an attractive career path with promising prospects. This course offers a theoretical grounding in BI, preparing learners to understand and utilise data effectively to support business objectives.</p><p>The curriculum covers essential topics ranging from the basics of BI, statistics, and data science to advanced concepts like data warehousing and visualisation. As businesses increasingly rely on real-time data to optimise operations and forecast trends, the need for knowledgeable BI analysts who can transform raw data into actionable insights is more crucial than ever. This course equips participants with the theoretical foundations to excel in various BI roles across industries.</p><h5><strong>Learning Outcomes:</strong></h5><ul><li>Understand the core concepts and importance of Business Intelligence in decision-making processes.</li><li>Gain knowledge of real-time BI and its impact on business operations.</li><li>Learn the fundamental principles of statistics and data science relevant to BI.</li><li>Acquire theoretical knowledge of SQL and database management.</li><li>Understand data warehouse design and its significance in BI.</li><li>Develop insights into effective data visualisation techniques for business reporting.</li></ul>						</div>
				</div>
				</div>
				</div>
		<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				<div>
				<div>
			<h4>Description</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p>This Business Intelligence Analyst course offers a comprehensive overview of the theoretical aspects of BI, ensuring participants are well-equipped to understand the intricacies of data interpretation and application in a business context. The course begins with an introduction to BI, followed by a deep dive into real-time BI applications and their significance in modern business environments. Participants will explore the critical role of statistics and data science in analysing and predicting business trends.</p><p>The programme also covers essential technical skills such as SQL programming, database management, and data warehousing, providing a solid theoretical framework essential for any BI professional. Moreover, the course includes a module on Python basics, broadening the analytical tools available to learners. The final part focuses on data visualisation, teaching participants how to present data compellingly to influence business decisions effectively.</p>						</div>
				</div>
				</div>
				</div>
		<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				<div>
				<div>
			<h4>Why Choose Us?</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>This course is accredited by the CPD Quality Standards.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Lifetime access to the whole collection of the learning materials.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Online test with immediate results.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Enroling in the course has no additional cost.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You can study and complete the course at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study for the course using any internet-connected device, such as a computer, tablet, or mobile device.</span>
									</li>
						</ul>
				</div>
				</div>
				</div>
				</div>
		<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				<div>
				<div>
			<h4>Certificate of Achievement</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p>Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.</p>						</div>
				</div>
				</div>
				</div>
		<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				<div>
				<div>
			<h4>Who Is This Course For?</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Aspiring BI analysts looking to understand the theoretical aspects of the field.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Business professionals seeking to enhance their data-driven decision-making skills.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Managers and executives interested in leveraging BI principles to improve strategic planning.</span>
									</li>
								<li>
											<span>
													</span>
										<span>IT professionals wanting to transition into BI roles.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Students of business, IT, or data science fields exploring career opportunities in BI.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Analysts aiming to upgrade their theoretical knowledge in BI technologies and methodologies.</span>
									</li>
						</ul>
				</div>
				</div>
				</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				<div>
				<div>
			<h4>Requirements</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p><span>The Business Intelligence Analyst course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Business Intelligence Analyst, without any fuss.</span></p>						</div>
				</div>
				</div>
					</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				<div>
				<div>
			<h4>Career Path</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Business Intelligence Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>BI Data Architect</span>
									</li>
								<li>
											<span>
													</span>
										<span>Business Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Operations Manager</span>
									</li>
								<li>
											<span>
													</span>
										<span>Strategic Planner</span>
									</li>
								<li>
											<span>
													</span>
										<span>Consultant in Business Intelligence</span>
									</li>
						</ul>
				</div>
				</div>
				</div>
					</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				<div>
				<div>
			<h4>Order Your Certificate</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<div><div><div><div id="1693981461.590199"><div><div><div><div><div><div><div><div><div><div><div>To order CPD Quality Standard Certificate, we kindly invite you to visit the following link:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>						</div>
				</div>
				<div>
				<div>
					<div>
			
						<span>
						
		</span>
					
		</div>
				</div>
				</div>
				</div>
					</div>
				</div> <div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table>				<tbody><tr>
					<td colspan="4">Module-1: An Introduction to Business Intelligence</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>An Introduction to Business Intelligence</td>
					<td> </td>
					<td><span><i></i> 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-2: Real-time Business Intelligence</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Real-time Business Intelligence</td>
					<td> </td>
					<td><span><i></i> 00:34:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-3: Fundamentals of Statistics and Data Science</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Fundamentals of Statistics and Data Science</td>
					<td> </td>
					<td><span><i></i> 00:49:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-4: Fundamentals of SQL</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Fundamentals of SQL</td>
					<td> </td>
					<td><span><i></i> 00:39:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-5: Database Management Essentials</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database Management Essentials</td>
					<td> </td>
					<td><span><i></i> 00:49:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-6: Data Warehouse Concepts</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Warehouse Concepts</td>
					<td> </td>
					<td><span><i></i> 00:37:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-7: Data Visualisation in Business Intelligence</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation in Business Intelligence</td>
					<td> </td>
					<td><span><i></i> 00:34:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-8: Basics of Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Python</td>
					<td> </td>
					<td><span><i></i> 00:26:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Business Intelligence Analyst</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order Your Certificate</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificate</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

NextGen Learning

Business Intelligence Analyst Course

<div>
						<div>
				<div>
									<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
								<div>
				<p><span>Register on the Data Analytics today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p><p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p><p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as proof of your course completion.</span></p><p><span>The Data Analytics is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p><p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p><h5><b>What You Get With The Data Analytics </b></h5><ul><li><span>Receive a e-certificate upon successful completion of the course</span></li><li><span>Get taught by experienced, professional instructors</span></li><li><span>Study at a time and pace that suits your learning style</span></li><li><span>Get instant feedback on assessments </span></li><li><span>24/7 help and advice via email or live chat</span></li><li><span>Get full tutor support on weekdays (Monday to Friday)</span></li></ul>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					<div>
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
					</div>
			</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Course Design</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Certification</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
						</div>
				</div>
				<div>
				<div>
			<h2>Who Is This Course For:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Requirements:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The online training is open to all students and has no formal entry requirements. To study the Data Analytics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to the World of Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to the World of Data</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Basics of Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Statistics for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistics for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Actions Taken in the Data Analysis Process</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Actions Taken in the Data Analysis Process</td>
					<td> </td>
					<td><span><i></i> 00:55:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Gathering the Right Information</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Gathering the Right Information</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Storing Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Storing Data</td>
					<td> </td>
					<td><span><i></i> 01:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Data Mining</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Mining</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Excel for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Excel for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Tools for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tools for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Data-Analytic Thinking</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data-Analytic Thinking</td>
					<td> </td>
					<td><span><i></i> 01:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Data Visualisation That Clearly Describes Insights</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation That Clearly Describes Insights</td>
					<td> </td>
					<td><span><i></i> 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Data Visualisation Tools</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation Tools</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
                        <div>
                            <div>
                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How do I track my progress in the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

Janets

Google Data Analytics

Business Analytics & Intelligence

Big Data Analytics

Data Science

Data Skills

Data Analyst

Data Analytics

<p fr-original-style="" id="isPasted" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The insights gained from data analysis are only truly valuable when you can be clearly expressed to other people &ndash; bosses, colleagues, clients, customers, or other stakeholders.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In this workshop you&rsquo;ll learn how to turn raw qualitative or quantitative data into a clear visual story through infographics and data visualization. We&#39;ll discuss the key principles for planning an effective visual, look at examples of best (and worst) practice, and learn repeatable and practical design techniques for enhancing the story.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We&#39;ll also give you an overview of useful tools that will help you turn your idea into a finished infographic or data visualization. You could be conjuring up eye-catching slide decks, building effective reports and dashboards, pitching to investors, or presenting persuasive data to your most important customers.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This is a fully interactive online workshop, so be prepared to join discussions and get hands on with building your own visualisations.&nbsp;</p><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 fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Takeaways</span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Be able to evaluate the elements that make an infographic or visualization effective.</li><li fr-original-style="" style="box-sizing: border-box;">Learn quick and repeatable visual tricks for ensuring infographics convey a clear message.</li><li fr-original-style="" style="box-sizing: border-box;">Understand how to tailor your approach to different audiences and context.&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Discover a bunch of free tools and resources to help you build your own visualizations.&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Understand how online, interactive visualizations work and how to create them.</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;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Delivery</span></strong>&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive &ndash; every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.&nbsp;<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><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 fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;">Tutor</span></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Cond&eacute; Nast International as product owner on a bespoke digital asset management system for their 11 global markets. </p><p fr-original-style="" id="isPasted" 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 fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Testimonials</span></strong></p><p fr-original-style="" id="isPasted" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">"Just to say what a great course this was. I have made my first report employing some of the ideas and tools you showed us &ndash; to rapturous responses! The next actions are clear for all and they all understood it! Thank you for helping me to organise my data and thoughts, showing how to present the key message up front, and how to keep it simple and focused. Gearing up for another report now!"<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Kay Anderson | Head of Finance | Mima</em></strong></p><p fr-original-style="" id="isPasted" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">"We have been using Tableau to display data for some time but knew we could do more to engage our end users. Alan&rsquo;s training gave us a framework to start thinking about what we wanted to achieve with our visualisations and analysis, and some great tips on how to display information for maximum impact. Alan was an engaging trainer and we found the workshops very energising." &nbsp;<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Ellen Austin | Senior Data Analyst | London School of Economics</em></strong></p>

Fire Plus Algebra

Data Visualization

Presentation Skills

Data visualization and infographics

<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2><b>Course Overview</b></h2>		</div>
				</div>
				<div>
				<div>
					<div><p><span>Google Data Studio is the leading tool for turning data into easily readable and shareable dashboard and reports. It is ideal for small-medium size companies who are looking for simple collaboration solutions. The </span><b>Basic Google Data Studio</b><span> course is perfect for beginners who are looking to learn how to carry out data visualisation tasks using this tool. </span></p><p><span>In this course, you will learn best practices for carrying out data visualisation tasks in Data Studio. It will guide you through key procedures such as creating new reports and dashboards, adding charts, configuring report control, using report templates, and sharing your reports.</span></p><p><span>On successful completion of this course, you will be able to visualise and present data efficiently. You will have the core industry skills needed to become a top Data Analyst, with the knowledge required to ensure smooth and effective reporting.  </span></p></div>
				</div>
				</div>
				<div>
				<div>
					<div><p>This best selling <strong>Basic Google Data Studio </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Basic Google Data Studio </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Basic Google Data Studio</strong> is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Basic Google Data Studio </strong>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<strong> Basic Google Data Studio</strong>, 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 <strong>Basic Google Data Studio</strong> 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 <strong>Basic Google Data Studio </strong>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>
				</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div><div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					</div>
				</div>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					<div>
											
															
											</div>
				</div>
				</div>
						</div>
					</div>
		</div>
				<div>
			<div>
							<div>
						<div>
				<div>
					<div>
											
															
											</div>
				</div>
				</div>
						</div>
					</div>
		</div>
				<div>
			<div>
							<div>
						<div>
				<div>
					<div>
											
															
											</div>
				</div>
				</div>
						</div>
					</div>
		</div>
				<div>
			<div>
							<div>
						<div>
				<div>
					<div>
											
															
											</div>
				</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
						</div>
					</div>
		</div>
								</div>
					</div>

Course Cloud

Basic Google Data Studio

<p><strong>48-Hour Knowledge Knockdown! Prices Reduced Like Never Before!</strong></p><p>Step into the world of geospatial technology with our exclusive QGIS Cartography and ArcGIS bundle. Discover the power of spatial analysis and remote sensing while learning to create smart maps, web scraping, and data visualisation. Whether you're a beginner or an experienced professional, this bundle offers everything you need to enhance your skillset and advance your career.</p><p>As a bonus, the QGIS Cartography course is QLS-endorsed, ensuring that you receive a hardcopy certificate upon completion, enhancing your credibility in the field. The remaining ten courses are CPD-QS accredited, providing you with industry-recognised certification.</p><p>Our courses are designed to be accessible to everyone, with no prior experience or technical knowledge required. With our easy-to-follow lectures, you can learn at your own pace and on your own schedule. You'll have access to comprehensive resources, including course materials and support from our expert team.</p><p>The QGIS Cartography and ArcGIS bundle is the perfect choice for anyone looking to expand their knowledge and enhance their career prospects in the geospatial industry. With our top-rated courses, you'll gain invaluable skills that will set you apart from the competition. So why wait? Enrol now and take the first step towards a brighter future!</p><p><strong>This </strong><strong>QGIS Cartography and ArcGIS</strong><strong> Bundle Package includes:</strong></p><ul><li><strong>Course 01:</strong> Diploma in QGIS Cartography at QLS Level 4</li></ul><p><strong>10 Premium Additional CPD QS Accredited Courses -</strong></p><ul><li><strong>Course 01: </strong>Spatial Analysis in ArcGIS</li><li><strong>Course 02: </strong>Remote Sensing in ArcGIS</li><li><strong>Course 03: </strong>ArcGIS for Hydrology</li><li><strong>Course 04: </strong>Spatial Data Visualization and Machine Learning in Python Level 4</li><li><strong>Course 05: </strong>Create Smart Maps in Python and Leaflet Level 3</li><li><strong>Course 06:</strong> Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong>Course 07: </strong>Python Data Science</li><li><strong>Course 08: </strong>Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong>Course 09: </strong>Maps in R Shiny and Leaflet</li><li><strong>Course 10: </strong>The Basics of ArcGIS for Hydrology</li></ul><p><strong>Why Prefer This </strong><strong>QGIS Cartography and ArcGIS</strong><strong> Bundle?</strong></p><ul><li>You will receive a completely free certificate from the Quality Licence Scheme</li><li>Option to purchase 10 additional certificates accredited by CPD</li><li>Get a free Student ID Card - (£10 postal charges will be applicable for international delivery)</li><li>Free assessments and immediate success results</li><li>24/7 Tutor Support</li></ul> <p><strong>After taking this </strong><strong>QGIS Cartography and ArcGIS</strong><strong> bundle courses, you will be able to learn:</strong></p><ul><li>Understand the basics of QGIS Cartography and ArcGIS software</li><li>Learn to perform spatial analysis and remote sensing in ArcGIS</li><li>Develop skills in creating smart maps and web scraping with Python and Leaflet</li><li>Learn data visualisation and machine learning in Python</li><li>Gain expertise in hydrology with ArcGIS</li><li>Create maps in R Shiny and Leaflet</li><li>Use Python for spatial analysis in ArcGIS</li></ul><p><strong>***Curriculum breakdown of QGIS Cartography</strong><strong>***</strong></p><ul><li><strong>Section 01: </strong>Introduction<strong><br /></strong></li><li><strong>Section 02: </strong>Labels<strong><br /></strong></li><li><strong>Section 03: </strong>Symbology<strong><br /></strong></li><li><strong>Section 04: </strong>Base Layers<strong><br /></strong></li><li><strong>Section 05: </strong>Project Setup<strong><br /></strong></li><li><strong>Section 06: </strong>Water Styling<strong><br /></strong></li><li><strong>Section 07: </strong>Land Styling</li></ul><p><strong>How is the </strong><strong>QGIS Cartography and ArcGIS </strong><strong>Bundle Assessment Process?</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        220 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 seeking to enhance their skills in geospatial technology</li><li>Students interested in a career in GIS or related fields</li><li>Individuals looking to expand their knowledge in QGIS Cartography and ArcGIS software</li><li>Anyone seeking industry-recognized certification</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This bundle will be beneficial for anyone looking to pursue a career as:</p><ul><li>GIS Analyst: £21,000 - £42,000 per annum</li><li>GIS Technician: £18,000 - £32,000 per annum</li><li>GIS Manager: £28,000 - £65,000 per annum</li><li>Remote Sensing Analyst: £25,000 - £50,000 per annum</li><li>Data Scientist: £25,000 - £80,000 per annum</li><li>Hydrologist: £25,000 - £50,000 per annum</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Diploma in QGIS Cartography at QLS Level 4</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>After successfully completing thecourse, you can order an original hardcopy Certificate of Achievement endorsed by the <strong>Quality Licence Scheme</strong>. This certificate will be delivered to your home, free of charge.</p><p>To obtain the additional Quality Licence Scheme Endorsed Certificate, you will need to pay the corresponding fee based on the level of the courses:</p><ul><li>Level 1: £59</li><li>Level 2: £79</li><li>Level 3: £89</li><li>Level 4: £99</li><li>Level 5: £119</li><li>Level 6: £129</li><li>Level 7: £139</li></ul> </div>
        <h4>CPD QS Accredited Certificate </h4>
        <p>
            Digital certificate -
            £10
        </p>
            <div> <p>Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS and will cost you £10 for each course. Also, the certificates are recognised throughout the UK and internationally.</p> </div>
        <h4>CPD QS Accredited Certificate </h4>
        <p>
            Hard copy certificate -
            £29
        </p>
            <div> <p>International students are subject to a £10 delivery fee for their orders, based on their location.</p> </div>

                        </div>

Academy for Health and Fitness

QGIS Cartography and ArcGIS

<p>Progression in today's data-driven world requires proficiency in Python data science. Proficiency in Python for data science can revolutionise one's career by enabling professionals to build models, extract insights, and make well-informed decisions from large datasets. This can lead to a variety of opportunities across industries. Because of its simplicity of use, data scientists prefer it over other languages for efficiently handling data. Robust data manipulation, analysis, visualisation, and machine learning tools are available with Python's vast libraries, including NumPy, Pandas, Matplotlib, and Scikit-learn. These tools enable experts to use Python to efficiently extract insights, build predictive models, and make data-driven decisions. To get everything you need in one place, sign up for our QLS-approved <strong>"Python Data Science: QLS Machine Learning"</strong> course!</p><p>The fundamentals of Python for data science are the main focus of the course <strong>"Python Data Science: QLS Machine Learning."</strong> It begins with an introductory unit that familiarises students with the syntax of Python and critical ideas in data science. The upcoming units focus on specialised software for data cleaning and visualisation, two essential skills for any data scientist. A range of Python techniques and tools that facilitate the cleanup of jumbled datasets and the creation of visually appealing data visualisations are covered in the course.</p><p>Missing out on this perfect pack will be a significant loss for IT enthusiasts. Take the "<strong>Python Data Science-QLS Machine Learning</strong>" course to discover the full potential of Python in data science. Explore the possibilities of Python for more than just data manipulation and cleaning. Get practical experience with the state-of-the-art instruments and methods necessary for a prosperous data science career.</p><p><strong>Learning outcomes</strong> at a glance:</p><p>Completing the study of this <strong>Python Data Science-QLS Machine Learning </strong>makes learners able to:</p><ul><li>Learn the syntax of Python to manipulate and analyse data</li><li>Use data cleaning software to prepare datasets effectively</li><li>Make effective use of data visualisation tools when presenting insights</li><li>Apply predictive analysis and machine learning methods</li><li>Analyse and effectively convey conclusions drawn from data visualisations</li><li>Gain knowledge of Python for practical data science applications</li></ul><p><strong>Kinstone Open College </strong>offers the following services for the<strong> "Python Data Science-QLS Machine Learning" course</strong><strong>:</strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS-endorsed certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>"QLS approved this accredited course as a highly qualified, unregulated training programme and supply. A trainer will be available to address your inquiries, including how to advance into additional higher education."</strong></p><p><strong>Course Curriculum of </strong><strong>Python Data Science</strong></p><ul><li><strong>Unit 01:</strong> Introduction to Python Data Science</li><li><strong>Unit 02:</strong> Data Cleaning Packages</li><li><strong>Unit 03:</strong> Data Visualisation packages</li></ul><p><strong>Assessment and Certification</strong></p><p>To receive a Python Data Science certificate, learners must submit a comprehensive assignment summarising all the units our expert tutor will assess. The assignment must meet the learning outcomes according to the standard set by QLS. The learner will be awarded the certificate once the assignment passes the quality check.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>When the course is over, students will receive an endorsed certificate to prove they completed it. A certificate can be obtained if the student completes all class assessments.</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>Regardless of experience and educational background, anyone can study and benefit from this <strong>Python Data Science-QLS Machine Learning</strong> course. However, the following categories of learners are the best for this course:</p><ul><li><strong>Data Enthusiasts:</strong> People who have a strong interest in working with data and are keen to see how Python may help with data cleaning, analysis, and visualisation</li><li><strong>Aspiring Data Scientists: </strong>People who want to work in data science and are looking for a core understanding of Python for machine learning and data manipulation.</li><li><strong>Analytics Professionals</strong>: Analytics experts are eager to broaden their expertise by becoming proficient in Python's data handling packages to enable more effective analysis.</li><li><strong>Business Analysts:</strong> professionals who want to sharpen their abilities in interpreting data so they can use visualisation to communicate their ideas successfully.</li><li><strong>Computer Science Students:</strong> Computer science students who want hands-on experience with Python-based data analysis and manipulation</li><li><strong>Career Switchers:</strong> People making the move into the data science field who need to have a basic understanding of the use of Python in data analysis.</li><li><strong>Researchers and Academics:</strong> Academic professionals who want to use Python for data-related research and disseminate their findings with clear and concise visual aids.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal requirements needed for this Python Data Science course. So, learners are not required to have prior qualifications to enrol in this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p><strong>Python Data Science-QLS Machine Learning </strong>course is relevant and demanded in many job roles, including:</p><ul><li>Data Analyst: £25,000 to £50,000</li><li>Data Scientist: £35,000 to £80,000</li><li>Machine Learning Engineer: £40,000 to £90,000</li><li>Business Intelligence Analyst: £30,000 to £60,000</li><li>Quantitative Analyst: £40,000 to £100,000+</li><li>Data Engineer: £40,000 to £80,000</li><li>Research Scientist (in AI/ML): £40,000 to £90,000+</li></ul>
                        </div>

Kingston Open College

Managed Learning Programme (MLP)

NLP Practitioner

Professional Skills Course (PSC)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Python Data Science - QLS Machine Learning

<p><strong>The future is data-driven.</strong> Imagine wielding the power to extract insights from vast datasets and leverage artificial intelligence to solve complex problems. This Data Science and Artificial Intelligence bundle empowers you to unlock the potential of data and AI. Equip yourself with the skills to solve complex problems, make informed decisions, and shape the future of data-driven innovation.</p><p><strong>What awaits you:</strong></p><ul><li><strong>15 in-depth courses:</strong> Master essential programming languages like Python and R, delve into statistics and probability, and explore the fascinating world of artificial intelligence.</li><li><strong>Learn by doing:</strong> Gain practical experience through hands-on projects, applying your knowledge to real-world data science and AI applications.</li><li><strong>Unlock career possibilities:</strong> Develop a sought-after skillset that opens doors to exciting opportunities in data science, machine learning, and AI-powered fields.</li></ul><p><strong>This is your chance to:</strong></p><ul><li>Become a data-driven decision-maker.</li><li>Build innovative AI solutions.</li><li>Transform businesses with the power of data.</li></ul><p><strong>Enrol now and take your first step towards a data-driven future!</strong></p><p><strong>Course List </strong></p><ul><li><strong>Statistics &amp; Probability for Data Science &amp; Machine Learning:</strong> Master the language of data! This course equips you with core statistical and probability concepts for analysing data and building machine learning models.</li></ul><ul><li><strong>R Programming for Data Science:</strong> Unleash the power of R, a popular programming language for data analysis and visualisation. Learn to manipulate data, perform statistical tests, and create informative graphics.</li></ul><ul><li><strong>Python Data Science:</strong> Dive into Python, the go-to language for data science. This course equips you with essential skills for data manipulation, analysis, and building machine learning models.</li></ul><ul><li><strong>SQL for Data Science, Data Analytics and Data Visualisation:</strong> Unlock the secrets of databases! Learn SQL, a powerful query language for retrieving and formatting data for analysis and visualisation in data science projects.</li></ul><ul><li><strong>Quick Data Science Approach from Scratch:</strong> Get started with data science fast! This course provides a foundational understanding of the entire data science workflow, from data acquisition to analysis and communication.</li></ul><ul><li><strong>Foundations of Artificial Intelligence:</strong> Demystify the world of AI! Explore core concepts like machine learning, deep learning, and natural language processing to understand how AI systems learn and solve problems.</li></ul><ul><li><strong>Consider replacing with:</strong><strong>Advanced Statistics for Data Science:</strong> Take your statistical skills to the next level. This course delves deeper into advanced statistical techniques commonly used in data science projects.</li></ul><ul><li><strong>ChatGPT &amp; AI: 23 Ways to Make Money with AI:</strong> Discover the monetisation potential of AI! Learn how to leverage ChatGPT, a large language model, and explore various ways to generate income through AI applications.</li></ul><ul><li><strong>ChatGPT for Marketing and Productivity with AI Tools:</strong> Boost your marketing and productivity with AI! Explore how ChatGPT and other AI tools can automate tasks, generate content, and optimise marketing campaigns.</li></ul><ul><li><strong>Hands-on Machine Learning Project - Auto Image Captioning for Social Media:</strong> Learn by doing! Build a real-world machine learning project that automatically generates captions for social media images. Gain practical experience in training and deploying a machine learning model.</li></ul><ul><li><strong>Spatial Data Visualisation and Machine Learning in Python:</strong> Uncover hidden patterns in location-based data! Learn spatial data analysis techniques and use Python to visualise and analyse geographic data for machine learning applications.</li></ul><ul><li><strong>Machine Learning for Predictive Maps in Python and Leaflet:</strong> Predict the future with maps and machine learning! Develop machine learning models that can make predictions based on geographic data, visualised using interactive maps with Leaflet.js.</li></ul><ul><li><strong>U&amp;P AI - Natural Language Processing (NLP) with Python:</strong> Make machines understand human language! Master NLP techniques for text analysis, sentiment analysis, and machine translation using Python libraries.</li></ul><ul><li><strong>Learn AI with Python:</strong> Deepen your understanding of AI. Explore various Python libraries and frameworks commonly used in machine learning and AI development.</li></ul><ul><li><strong>Creating REST APIs with Python Django:</strong> Connect your data and applications! Learn how to build RESTful APIs using Python's Django framework, enabling data exchange and communication between different systems.</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        40 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>Aspiring data scientists, machine learning engineers, and AI enthusiasts</li><li>Business professionals seeking to leverage data and AI for better decision-making</li><li>Anyone curious about the future of technology and its applications</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This bundle has minimal entry requirements, requiring only access to a computer or mobile device with internet connectivity, basic computer literacy, proficiency in the English language, and a genuine eagerness to learn. We welcome learners from all backgrounds to join us in exploring new subjects and expanding their knowledge.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The Data Science &amp; Artificial Intelligence Bundle equips you with a versatile skillset that opens doors to a multitude of exciting career paths. Here's a glimpse into some potential journeys you can embark on:</p><ul><li>Data Scientist</li><li>Machine Learning Engineer</li><li>AI Specialist</li><li>Business Intelligence Analyst</li><li>Data Analyst</li><li>Research Scientist</li></ul>
                        </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>

One Education

Data Science and Artificial Intelligence (Online) Course

<p><span>The <strong>Business Intelligence Analyst</strong> Course aligns with current industry trends and market needs, addressing emerging opportunities and challenges in data-driven decision-making. As businesses increasingly rely on data for strategic planning, this course provides the foundational knowledge and skills required to interpret and leverage data effectively. It prepares learners to meet the growing demand for data analysis and interpretation in various sectors.</span></p>
<p><span>The primary problem this course addresses is the gap in practical, accessible knowledge for analysing and interpreting business data. By bridging this gap, the course enables learners to transform raw data into meaningful insights. This ability is crucial for driving business growth, improving operational efficiency, and enhancing strategic decision-making processes across industries.</span></p>
<p><span>In today's data-centric business environment, possessing skills in business intelligence and data analysis is not just advantageous but essential. This course equips learners with the knowledge to analyse data accurately, leading to informed decision-making and competitive advantage in various business contexts.</span></p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li><span>Understand the basics and importance of Business Intelligence in modern business.</span></li>
<li><span>Grasp real-time applications of Business Intelligence in industry scenarios.</span></li>
<li><span>Learn statistical and data science fundamentals crucial for analysis.</span></li>
<li><span>Gain proficiency in SQL for effective data management and querying.</span></li>
<li><span>Master essential aspects of database management and operations.</span></li>
<li><span>Explore data warehouse concepts and their relevance in data storage.</span></li>
<li><span>Develop skills in data visualisation techniques for business insights.</span></li>
<li><span>Acquire basic Python knowledge for data analysis applications</span>.</li>
</ul>
<h3><b>Why choose this Business Intelligence Analyst Course?</b></h3>
<ol>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b> and <b>CIQ </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
<li>Unlock career resources for CV improvement, interview readiness, and job success.</li>
</ol>
<h3><b>Who is this Business Intelligence Analyst Course</b><b><span> </span></b><b>for?</b></h3>
<ul>
<li><span>Individuals aspiring to become Business Intelligence Analysts.</span></li>
<li><span>Professionals seeking to enhance their data analysis skills.</span></li>
<li><span>Entrepreneurs needing to understand data for better business decisions.</span></li>
<li><span>Managers and team leaders requiring data-driven decision-making abilities.</span></li>
<li><span>Anyone interested in pursuing a career in data analysis and business intelligence</span>.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><span><strong>Business Intelligence Analyst</strong>: £30,000 - £50,000</span></li>
<li><span><strong>Data Analyst</strong>: £27,000 - £40,000</span></li>
<li><span><strong>Database Administrator</strong>: £30,000 - £45,000</span></li>
<li><span><strong>Data Scientist</strong>: £35,000 - £60,000</span></li>
<li><span><strong>Business Analyst</strong>: £32,000 - £52,000</span></li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Business Intelligence Analyst Course</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Business Intelligence Analyst Course</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>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"> Module-1: An Introduction to Business Intelligence</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>An Introduction to Business Intelligence</td>
					<td> </td>
					<td><span><i></i> 00:46:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-2: Real-time Business Intelligence</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Real-time Business Intelligence</td>
					<td> </td>
					<td><span><i></i> 00:35:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-3: Fundamentals of Statistics and Data Science</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Fundamentals of Statistics and Data Science</td>
					<td> </td>
					<td><span><i></i> 00:50:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-4: Fundamentals of SQL</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Fundamentals of SQL</td>
					<td> </td>
					<td><span><i></i> 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-5: Database Management Essentials</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database Management Essentials</td>
					<td> </td>
					<td><span><i></i> 00:50:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-6: Data Warehouse Concepts</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Warehouse Concepts</td>
					<td> </td>
					<td><span><i></i> 00:38:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-7: Data Visualisation in Business Intelligence</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation in Business Intelligence</td>
					<td> </td>
					<td><span><i></i> 00:35:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module-8: Basics of Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Python</td>
					<td> </td>
					<td><span><i></i> 00:27:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Business Analyst

Business Analysis

Oracle Business Intelligence

Business Intelligence (BI)

Business Data Analysis

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Business Intelligence Analyst Course has been specially designed to help learners gain a good command of Business Intelligence Analyst Course, providing them with a solid foundation of knowledge to become a qualified professional.</p><p>Through this Business Intelligence Analyst Course, you will gain both practical and theoretical understanding of Business Intelligence Analyst Course that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</p><p>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful people to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to a computer or digital device with internet connectivity.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong> Module 01: An Introduction to Business Intelligence</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>An Introduction to Business Intelligence</td><td><span>🕐 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 02: Real-time Business Intelligence</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Real-time Business Intelligence</td><td><span>🕐 00:34:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 03: Fundamentals of Statistics and Data Science</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Fundamentals of Statistics and Data Science</td><td><span>🕐 00:49:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 04: Fundamentals of SQL</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Fundamentals of SQL</td><td><span>🕐 00:39:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 05: Database Management Essentials</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database Management Essentials</td><td><span>🕐 00:49:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 06: Data Warehouse Concepts</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Warehouse Concepts</td><td><span>🕐 00:37:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 07: Data Visualisation in Business Intelligence</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation in Business Intelligence</td><td><span>🕐 00:34:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 08: Basics of Python</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Python</td><td><span>🕐 00:26:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Skill Up

Unlock your potential as a Business Intelligence Analyst! Master data analysis, reporting, and visualisation skills to drive informed business decisions.

<p><strong>***24 Hour Limited Time Flash Sale***</strong></p><p><strong> </strong><strong>Data Visualisation Professional - CPD Certified </strong><strong>Admission Gifts </strong></p><p><strong> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter</strong></p><p>Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Data Visualisation Professional - CPD Certified Bundle provides unique insights and tools that can help you achieve your goals.</p><p>Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Data Visualisation Professional - CPD Certified bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level.</p><p><strong>But that's not all. When you enrol in Data Visualisation Professional - CPD Certified Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free.</strong></p><p><strong>Courses Are Included In this Data Visualisation Professional - CPD Certified Career Bundle:</strong></p><ul><li> Course 01: Master JavaScript with Data Visualization</li><li> Course 02: SQL for Data Science, Data Analytics and Data Visualization</li><li> Course 03: Spatial Data Visualization and Machine Learning in Python</li><li> Course 04: Data Analysis</li><li> Course 05: Excel Data Analysis</li><li> Course 06: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li> Course 07: Python Programming Bible</li><li> Course 08: Python Data Science with Numpy, Pandas and Matplotlib</li><li> Course 09: Data Science &amp; Machine Learning with Python</li><li> Course 10: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li> Course 11: R Programming for Data Science</li><li> Course 12: Quick Data Science Approach from Scratch</li><li> Course 13: Mastering SQL Programming</li><li> Course 14: Learn Python, JavaScript, and Microsoft SQL for Data science</li><li> Course 15: Web Scraping and Mapping Dam Levels in Python and Leaflet</li><li> Course 16: Business Data Analysis</li><li> Course 17: Business Intelligence and Data Mining Diploma</li><li> Course 18: Google Data Studio: Data Analytics</li><li> Course 19: Google Analytics for Everyone</li><li> Course 20: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li> Course 21: Big Data Analytics with PySpark Power BI and MongoDB</li><li> Course 22: Introduction to Data Analytics with Tableau</li><li> Course 23: Microsoft Power BI - Master Power BI in 90 Minutes!</li><li> Course 24: PowerBI Formulas</li><li> Course 25: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li> Course 26: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li> Course 27: Microsoft Access Tables and Queries</li><li> Course 28: Statistical Analysis</li><li> Course 29: Research Methods in Business</li><li> Course 30: Customer Analytics Training</li></ul><p>With Data Visualisation Professional - CPD Certified, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner.</p><p>Don't let this opportunity pass you by. Enrol in Data Visualisation Professional - CPD Certified today and take the first step towards achieving your goals and dreams.</p><p><strong>Why buy this Data Visualisation Professional - CPD Certified?</strong></p><ul><li><strong>Free CPD Accredited Certificate</strong> upon completion of Data Visualisation Professional - CPD Certified</li><li>Get <strong>a free student ID card</strong> with Data Visualisation Professional - CPD Certified</li><li><strong>Lifetime access</strong> to the Data Visualisation Professional - CPD Certified course materials</li><li>Get instant access to this Data Visualisation Professional - CPD Certified course</li><li>Learn Data Visualisation Professional - CPD Certified from anywhere in the world</li><li>24/7 tutor support with the Data Visualisation Professional - CPD Certified course.</li></ul> <p><strong>Start your learning journey straightaway with our Data Visualisation Professional - CPD Certified Training!</strong></p><p>Data Visualisation Professional - CPD Certified premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Data Visualisation Professional - CPD Certified is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience.</p><p><strong>Certification</strong></p><p>You have to complete the assignment given at the end of the Data Visualisation Professional - CPD Certified course. After passing the Data Visualisation Professional - CPD Certified exam You will be entitled to claim a PDF &amp; Hardcopy certificate accredited by CPD Quality standards completely free.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        300 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><strong>This Data Visualisation Professional - CPD Certified course is ideal for:</strong></p><ul><li>Students seeking mastery in Data Visualisation Professional - CPD Certified</li><li>Professionals seeking to enhance Data Visualisation Professional - CPD Certified skills</li><li>Individuals looking for a Data Visualisation Professional - CPD Certified-related career.</li><li>Anyone passionate about Data Visualisation Professional - CPD Certified</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This <strong>Data Visualisation Professional - CPD Certified </strong>doesn't require prior experience and is suitable for diverse learners.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After the assessment, you will be ready for countless job opportunities. Some of them are-</p><ul><li>Business Analyst</li><li>Business Intelligence Analyst</li><li>Analytics Manager</li><li>Data Analyst</li><li>Data Scientist</li></ul><p>However, in the growing market of the UK, these professionals are expected to earn between <strong>£25k to £80k</strong> yearly on average.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>If you are an <strong>international student</strong>, then you have to pay an additional <strong>10 GBP</strong> for each certificate as an international delivery charge.</p></div>

                        </div>

Data Visualisation Professional - CPD Certified

Duco Digital Training

Machine Learning (ML)

IT Certifications

IT Skills

Computing & IT

Data Analysis

IT Literacy

Thinking about learning more about the data you are using in your job and how to present this?
The BCS Foundation Award in Data Visualisation teaches how data is used to make decisions in an organisation and the importance of presenting accurate data in a way that enables decision making to happen.

Data Visualisation - BCS Foundation Award

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results.</p>Overview<p>At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it.</p><p>Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions:</li><li>Fundamentals of data visualisation</li><li>Data characteristics &amp; dimensions</li><li>Mapping visual encodings to data dimensions</li><li>Colour theory</li><li>Graphical perception &amp; communication</li><li>Interaction design</li><li>Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text</li><li>Designing effective dashboards</li></ul></div>

Nexus Human

Excel Analytics

Effective Data Visualisation

<h2>Professional Arduino Data Visualisation using Python Course Overview</h2> <p>Are you looking to begin your Arduino data visualisation career or want to develop more advanced skills in Arduino data visualisation? Then this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and help you to develop your expertise in Arduino data visualisation.</p> <p>This professional Arduino data visualisation using Python course is <strong>accredited</strong> by the <strong>CPD UK </strong>&amp;<strong> IPHM</strong>. CPD is <strong>globally recognised</strong> by <strong>employers</strong>, <strong>professional organisations</strong> and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. <strong>CPD certified certificates</strong> are <strong>accepted</strong> by thousands of <strong>professional bodies</strong> and <strong>government regulators</strong> here in the <strong>UK</strong> and <strong>around the world</strong>.</p> <p>Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a Python progammer or electronic and electrical engineer.</p> <p>The professional Arduino data visualisation using Python course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a Python progammer or electronic and electrical engineer.</p> <p>This comprehensive professional Arduino data visualisation using Python course is the perfect way to kickstart your career in the field of Arduino data visualisation. This professional Arduino data visualisation using Python course will give you a competitive advantage in your career, making you stand out from all other applicants and employees.</p> <p>If you're interested in working as a Python progammer or electronic and electrical engineer or want to learn more skills on Arduino data visualisation but unsure of where to start, then this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills.</p> <p>As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This professional Arduino data visualisation using Python course is crafted by industry experts, to enable you to learn quickly and efficiently, and at your own pace and convenience.</p> <h3>Who should take this course?</h3> <p>This comprehensive professional Arduino data visualisation using Python<strong> </strong>course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of Arduino data visualisation.</p> <h3>Entry Requirements</h3> <ul> <li>There are no academic entry requirements for this professional Arduino data visualisation using Python<strong> </strong>course, and it is open to students of all academic backgrounds.</li> <li>As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol.</li> </ul> <h3>Career path</h3> <p>This professional Arduino data visualisation using Python<strong> </strong>course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry.</p><h2><b>Course Curriculum</b></h2> <div id="la-course-curriculum"> <div> <div>  Introduction <span></span>  <div> <div> <p>Introduction</p> <span></span> </div> <div> <p>Who We Are</p> <span></span> </div> <div> <p>Hardware and Software Requirements</p> <span></span> </div> </div> </div> <div>  Download and Install Software Section <span></span>  <div> <div> <p>Download and Install Arduino Pro IDE</p> <span></span> </div> <div> <p>Download and Install Python Editor</p> <span></span> </div> <div> <p>Download and Install Required Libraries</p> <span></span> </div> </div> </div> <div>  Python Coding to Control Arduino Pins <span></span>  <div> <div> <p>Python Coding to Control Pin Via Serial</p> <span></span> </div> <div> <p>Arduino Coding to Control Pin Via Serial</p> <span></span> </div> <div> <p>Running Python Script to Control the Pin</p> <span></span> </div> </div> </div> <div>  Python Coding to Control Arduino Pins <span></span>  <div> <div> <p>Python GUI with Button to Control Arduino Pins</p> <span></span> </div> </div> </div> <div>  Arduino Real-Time Plotting with Python <span></span>  <div> <div> <p>Arduino Real-Time Plotting with Python</p> <span></span> </div> </div> </div> <div>  Arduino Input/Output Control Via Python <span></span>  <div> <div> <p>Blink Simple Led Example with Python</p> <span></span> </div> <div> <p>Reading Digital Input and Sending Digital Output with Python</p> <span></span> </div> </div> </div> <div>  Extra <span></span>  <div> <div> <p>Installing Python and PIP</p> <span></span> </div> </div> </div> </div> </div><h2><b>Recognised Accreditation</b></h2> <div> <h3>CPD Certification Service</h3> <p>This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.</p> </div><h2><b>Certificate of Achievement</b></h2> <h3>Certificate of Achievement from Lead Academy</h3> <p>After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of Â£12, and there is an additional fee to obtain a printed copy certificate which is Â£35.</p> <p> </p><h2><b>FAQs</b></h2> <div id="accordionPanelsStayOpenExample"> <div> <h3 id="panelsStayOpen-heading21">  Is CPD a recognised qualification in the UK?  </h3> <div id="panelsStayOpen-collapse21"> <div> <p>CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading23">  Are QLS courses recognised?  </h3> <div id="panelsStayOpen-collapse23"> <div> <p>Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading25">  When will I receive my certificate?  </h3> <div id="panelsStayOpen-collapse25"> <div> <p>For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading27">  Can I pay by invoice?  </h3> <div id="panelsStayOpen-collapse27"> <div> <p>Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading29">  Can I pay via instalment?  </h3> <div id="panelsStayOpen-collapse29"> <div> <p>Yes, you can pay via instalments at checkout. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading31">  How to take online classes from home?  </h3> <div id="panelsStayOpen-collapse31"> <div> <p>Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading33">  Does age matter in online learning?  </h3> <div id="panelsStayOpen-collapse33"> <div> <p>No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons.</p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading35">  When I will get the login details for my course?  </h3> <div id="panelsStayOpen-collapse35"> <div> <p>After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org</p> </div> </div> </div> </div>

Lead Academy

Professional Arduino Data Visualisation using Python

<p>Are your reports and presentations <strong>boring</strong>? Do you wish to <strong> "animate"</strong> your data?</p><p>Tableau, a prominent <strong>visualisation program,</strong> will help your data problems to have an answer. You will acquire the knowledge necessary to master <strong>data visualisation</strong> in this Tableau introduction course.</p><p>This Tableau course gives you the <strong>confidence</strong> to discover the true value of your data by laying a foundation in data visualisation through a series of practical exercises. This Tableau course is designed for people who have never used Tableau before and are new to data visualisation. It makes use of Tableau's assortment of features to show best practices for <strong>data narrative and visualisation</strong>. You will learn how to connect datasets to Tableau, navigate the user interface, build interactive visualisations, and save and share your work in this course. You will learn how to employ each sort of visualisation in this course by going step by step through each one. By incorporating practical built-in functions, you will also learn how to create some fundamental formulas in the Tableau Calculation Language.</p><p><strong>Enrol real quickly</strong> to learn all there is to know about the Tableau - Crash Course, develop your talents in this area and feel secure in your knowledge base.</p><p><strong>Learning Outcome</strong></p><p>After completing this course successfully, you will be able to</p><ul><li>Learn how to create powerful dashboards and visualisations.</li><li>Ensure that Tableau is discovering the answers to your queries rather than creating new issues, prepare and clean your data</li><li>Understand how to create sophisticated visuals that convey complexity in a clear, appealing manner</li><li>Explore your data more thoroughly with clustering and distribution models that let you identify trends and make predictions</li><li>Discover how to utilise data storytelling to inform strategy and decision-making</li><li>Share dashboards and visualisations to foster an environment where data is accessible and appreciated</li></ul><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>Course Curriculum:</strong></p><ul><li>Section 1: Introduction to Tableau</li><li>Section 2: Connecting and Preparing Data</li><li>Section 3: Creating Charts and Calculations</li><li>Section 4: Building and Publishing Dashboards</li><li>Section 5: Build a Dashboard Analyzing Trumps Tweets about COVID-19</li></ul><p><strong>Course Assessment</strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Exam &amp; Retakes:</strong></p><p>It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.</p><p><strong>Certification</strong></p><p>Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in starting a career in data science or a database is encouraged to apply. This course is really easy to understand, even if you are a total newbie with no prior knowledge. Additionally, if you already work in a related field, this course will be an excellent source of knowledge for you to develop your current skills.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Tableau - Crash course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Learners will be able to attain numerous valuable skills and the chance to gain after completing the Tableau - Crash course. With more help, you could advance in the following career:</p><ul><li>Tableau Developer</li><li>Data Analyst</li><li>Data Visualisation Developer</li><li>Tableau Developer - Data Analytics</li><li>Business Intelligence/Data Validation Analyst</li></ul>
                        </div>

Data Visualisation with Tableau Course

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Are you ready to embark on an enlightening journey of wisdom with the Big Data bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Big Data : Data Science, Data Analytics &amp; Data Visualisation.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Delve into eight immersive CPD Accredited courses, each a standalone course:</p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analytics with PySpark Power BI and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analytics with PySpark Tableau Desktop and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Basic Data Analysis</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL for Data Science, Data Analytics and Data Visualization</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Complete Python Machine Learning &amp; Data Science Fundamentals</strong></li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle illuminate your path to wisdom.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the framework of the Big Data : Data Science, Data Analytics &amp; Data Visualisation package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Big Data bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">So, don&#39;t wait further and join the Big Data : Data Science, Data Analytics &amp; Data Visualisation community today and let your voyage of discovery begin!</p><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;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Attain a holistic understanding in the designated areas of study with the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Establish robust bases across each course nestled within the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Decipher intricate concepts through the articulate content of the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Amplify your prowess in interpreting, scrutinising, and implementing theories.</li><li fr-original-style="" style="box-sizing: border-box;">Procure the capacity to engage with the course material on an intellectual and profound level.</li><li fr-original-style="" style="box-sizing: border-box;">Become proficient in the art of problem-solving across various disciplines.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Stepping into the Big Data bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Big Data bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Big Data bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Big Data journey and let knowledge guide you towards a brighter future.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        85 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals keen on deepening their firm understanding in the respective fields.</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing higher education looking for comprehensive theory modules.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to refresh or enhance their knowledge.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a thirst for knowledge and a passion for continuous learning.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Armed with the Big Data bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it&#39;s academic research, consultancy, or programme management, the Big Data bundle lays a solid groundwork.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">8 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardcopy Transcript - &pound;9.99</p></div>

                        </div>

Big Data

Continuous Professional Development (CPD)

Big Data : Data Science, Data Analytics & Data Visualisation - 8 Courses Bundle

Build your accounting and financial skills to expertly handle everyday business operations and crucial calculations with the Accounting and Finance Diploma. Begin by mastering the fundamental principles of accounting, and then advance your knowledge to cover all aspects of accounting and finance. This comprehensive course is designed to support both those aspiring to launch a career in accounting and finance and individuals seeking to develop their skills for career advancement and promotions.
The Accounting and Finance Diploma course provides an in-depth exploration of key accounting methods, including cash flow control, investment appraisals, and budget deliberation. You’ll learn essential techniques for effective decision-making in monetary matters, ensuring you can confidently handle financial responsibilities and contribute to business success.
With this course, you'll gain valuable insights into every aspect of accounting and finance, equipping you with the expertise needed for informed business decisions. Whether you’re looking to excel in a new role or enhance your current position, the knowledge gained from this diploma will be instrumental in driving your career forward in the field of accounting and finance.
Courses are included in this Accounting and Finance Complete Bundle:
Course 01: Introduction to Accounting
Course 02: Level 3 Tax Accounting
Course 03: Introduction to VAT
Course 04: Level 3 Xero Training
Course 05: Professional Bookkeeping Course
Course 06: Microsoft Excel Level 3
Course 07:Team Management
Course 08: GDPR Data Protection Level 5
Course 09: Fraud Management & Anti Money Laundering Awareness Complete Diploma
Course 10: Business Analysis Level 3
Course 11: Time Management
So, enrol on Accounting and Finance now in this Accounting and Finance Bundle!



Key Features of the Course
FREE Accounting and Finance Diploma CPD-accredited certificate
Get a free student ID card with Accounting and Finance Diploma training (£10 applicable for international delivery)
Lifetime access to the Accounting and Finance Diploma course materials
The Accounting and Finance Diploma program comes with 24/7 tutor support
Get instant access to this Accounting and Finance Diploma course
Learn Accounting and Finance Diploma training from anywhere in the world
The Accounting and Finance Diploma training is affordable and simple to understand
The Accounting and Finance Diploma training is entirely online



Curriculum:
Course 01: Introduction to Accounting
What is Financial Accounting
Double Entry System and Fundamental Rules
Financial Process and Financial Statements Generate
Basic Equations and Four Financial Statements
Define a Chart of Accounts and Classify the accounts
External and Internal Transactions with companies
Short Exercise to Confirm what we learned in this section
What Major Policies need to be decided by companies
Depreciation Policies
Operational Fixed Asset Controls
Inventory and Controls
Revenue and Controls
Course 02: Level 3 Tax Accounting
Tax System and Administration in the UK
Tax on Individuals
National Insurance
How to Submit a Self-Assessment Tax Return
Fundamentals of Income Tax
Payee, Payroll and Wages
Value Added Tax
Corporation Tax
Double Entry Accounting
Management Accounting and Financial Analysis
Career as a Tax Accountant in the UK
Course 03: Introduction to VAT

Understanding VAT
VAT Terminology and Calculation
VAT Taxable Persons
VAT Registration
VAT Rates
Invoicing and Records
VAT Application in Goods, Services and Vehicles
Supply
The VAT Return
Tips on VAT Compliance
VAT Exemptions and Zero-Rated VAT
Miscellaneous VAT Issues and Penalties
Making Tax Digital
Course 04: Level 3 Xero Training
Introduction
Getting Started
Invoices and Sales
Bills and Purchases
Bank Accounts
Products and Services
Fixed Assets
Payroll
VAT Returns
Course 05: Professional Bookkeeping Course
Introduction
Basic Accounting Terms
Common Transactions
Practice
Course 06: Microsoft Excel Level 3

Microsoft Excel 2019 New Features
Getting Started with Microsoft Office Excel
Performing Calculations
Modifying a Worksheet
Formatting a Worksheet
Printing Workbooks
Managing Workbooks
Working with Functions
Working with Lists
Analysing Data
Visualising Data with Charts
Using PivotTables and PivotCharts
Working with Multiple Worksheets and Workbooks
Using Lookup Functions and Formula Auditing
Sharing and Protecting Workbooks
Automating Workbook Functionality
Creating Sparklines and Mapping Data
Forecasting Data
Excel Templates
Course 07: Presenting Financial Information
Presenting Financial Information
The Hierarchy of Performance Indicators
The Principle of Effective Reports
Guidelines for Designing Management Reports
Methods of Presenting Performance Data
The Control Chart: Highlighting the Variation in the Data
The Pareto Chart: Highlighting Priorities
Exercise: The Control Chart
An Example Management Report
Interpreting Performance Data
Supporting Colleagues by Giving Feedback
Data Visualisation Part 01
Data Visualisation Part 02
Data Visualisation Part 03
Data Visualisation Part 04
Final Thoughts on Presenting Financial Information
Course 08: GDPR Data ProtectionLevel 5
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Responsibilities and Obligations
Course 09: Fraud Management & Anti Money Laundering Awareness Complete Diploma
Introduction to Money Laundering
Proceeds of Crime Act 2002
Development of Anti-Money Laundering Regulation
Responsibility of the Money Laundering Reporting Office
Risk-based Approach
Customer Due Diligence
Record Keeping
Suspicious Conduct and Transactions
Awareness and Training
Course 10: Business Analysis Level 3

Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis and Management
Process Improvement with Gap Analysis
Documenting and Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 11: Time Management

Identifying Goals
Effective Energy Distribution
Working with Your Personal Style
The detailed curriculum of the Accounting and Finance bundle is given in the resources section.
How will I get my Certificate?
After successfully completing the Accounting and Finance course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (Previously, it was £10 * 11 = £110)
Hard Copy Certificate: Free (For The Title Course)
 CPD 
115 CPD hours/points  Accredited by CPD Quality Standards



 Who is this course for? 
No experience or previous qualifications are required for this Accounting and Finance Course enrolment.



 Requirements 
Our Accounting and Finance course is your path that might lead to a rewarding career. You will gain in-demand mastery in this program.



 Career path 
The Accounting and Finance course is beneficial for any profession or career from any industry you are in, such as:
Managers
Accountants
Bankers
Finance Officer
Payroll Officer
Bookkeeper
Finance Administrator



 Certificates 
Certificate of completion
Digital certificate - Included
Certificate of completion
Digital certificate - Included

Xero

Accounting & Finance

Tax Accounting

Accounting & Bookkeeping

Accounting and Finance Diploma

This Offer is vaild for first 10 Learners Only!!

Limited Time Offer!

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Whetstone Communications, in association with comms2point0, are delighted to bring you the Data Bites series of five <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">FREE</strong> webinars.</p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Our aim is to boost interest and levels of data literacy among not-for-profit communicators.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">By taking part, you will gain:</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Confidence in using some basic data techniques</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Examples and ideas for using data in your daily work</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Insight into using the power of AI for powerful insights</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">New knowledge and skills to help you stand out from the crowd - and even win awards&nbsp;</span></li></ul><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><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Now Booking: #2.&nbsp;</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style="color:#000000;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Finding and Asking for Data (30 mins)</strong></span></div><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Where to find relevant data<br fr-original-style="" style="box-sizing: border-box;">Internal Data<br fr-original-style="" style="box-sizing: border-box;">Open Data and Public Data<br fr-original-style="" style="box-sizing: border-box;">Official Data<br fr-original-style="" style="box-sizing: border-box;">Alternative Data<br fr-original-style="" style="box-sizing: border-box;">Asking for data from internal colleagues<br fr-original-style="" style="box-sizing: border-box;">Data visualisation</p>

Whetstone Communications, in association with comms2point0, are delighted to bring you the Data Bites series of five FREE webinars.
Our aim is to boost interest and levels of data literacy among not-for-profit communicators.
By taking part, you will gain:
Confidence in using some basic data techniques
Examples and ideas for using data in your daily work
Insight into using the power of AI for powerful insights
New knowledge and skills to help you stand out from the crowd - and even win awards
Now Booking: #2. Finding and Asking for Data (30 mins)
Where to find relevant data
Internal Data
Open Data and Public Data
Official Data
Alternative Data
Asking for data from internal colleagues
Data visualisation

Alex Waddington

Communication

Digital Communication

Public Relations (PR)

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

[Data Bites for Comms Pros] #2 Finding and Asking for Data (30 mins)

Demand for data analysts, data scientists and data engineers tripled over the past five years, rising 231%. That's much faster than job postings overall in the UK, which grew 36%. Hence, the demand for skilled data analysts has skyrocketed in the UK and worldwide! On average, salaries for these data analysts' roles are £64,376 and keep rising.
With a broader overview of the data analyst's responsibility, data chart, and presentation tools, the bundle describes how to filter, improve and handle data to present various information. You'll learn process management, how to analyse data and how to make vital business decisions. The data analyst bundle will buckle you up to perform simple to complex business analysis tasks effectively and efficiently.
Furthermore, the data analyst course accentuates developing your programming skills for a data analyst, such as Python, SQL, and R. What's more? Besides strengthening Microsoft Excel skills for a data analyst, you can improve your expertise in Tableau, Google Data Studio and business analysis ability from this Data Analyst (Data Analytics) Bundle course. Hence, you can be an efficient data analyst and a competent candidate for a challenging position.
Learning Outcomes of Data Analyst (Data Analytics)
Upon completion of the Data Analyst (Data Analytics) program, you will have acquired:
Acquire a big-picture understanding of the data analyst role
Fundamentals of data analysis (data analysis), including process management, tools for data analysis, various charts
Ability to conduct thorough research and turn raw data into presentable information
Perform many data operations in Python's famous "pandas" library, including grouping, pivoting, joining and more!
Learn about NLP, Machine Learning (ML), data visualisation using Matplotlib, Seaborn and much more
Knowledge of all the essential SQL commands and become proficient in SQL tools like GROUP BY, JOINS, and Subqueries
Become competent in using sorting and filtering commands in SQL
Learn general cloud computing concepts and gain a solid understanding of the fundamental systems on which the cloud is based
Learn how to use the R programming language for data science, machine learning, and data visualisation
Learn data analytics with Tableau, business intelligence and data mining masterclass, basic Google Data studio
This Data Analyst (Data Analytics) Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Python for Data Analysis
Course 03: SQL Programming Masterclass
Course 04: Data Science & Machine Learning with R
Course 05: Data Analytics with Tableau
Course 06: Basic Google Data Studio
Course 07: Business Intelligence and Data Mining Masterclass
Course 08: Business Analysis Level 3
Course 09: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002)
Course 11: GDPR Data Protection Level 5
Course 12: ChatGPT Crash Course
Upon finishing this 12-course Data Analyst (Data Analytics) bundle, you will acquire the necessary skills for a thriving career in this rapidly expanding industry. Waste no more time - enrol today and commence your path towards a promising future!
The Curriculum of the Data Analyst Bundle:
Course 1: Introduction to Data Analysis
Introduction
Agenda and Principles of Process Management
The Voice of the Process
Working as One Team for Improvement
Exercise: The Voice of the Customer
Tools for Data Analysis
The Pareto Chart
The Histogram
The Run Chart
Exercise: Presenting Performance Data
Understanding Variation
The Control Chart
Control Chart Example
Control Chart Special Cases
Interpreting the Control Chart
Control Chart Exercise
Strategies to Deal with Variation
Using Data to Drive Improvement
A Structure for Performance Measurement
Exercise
Course Project
Test your Understanding
Course 2: Python for Data Analysis
Welcome, Course Introduction & overview, and
Environment set-up
Python Essentials
Python for Data Analysis using NumPy
Python for Data Analysis using Pandas
Python for Data Visualization using mat plotlib
Python for Data Visualization using Seaborn
Python for Data Visualization using pandas
Python for interactive & geographical plotting using Plotly
and Cufflinks
Capstone Project - Python for Data Analysis &
Visualisation
Python for Machine Learning (ML) - sci-kit-learn - Linear
Regression Model
Python for Machine Learning - scikit-learn - Logistic
Regression Model
Python for Machine Learning - scikit-learn - K Nearest
Neighbours
Python for Machine Learning - scikit-learn - Decision Tree
and Random Forests
Python for Machine Learning - scikit-learn -Support Vector
Machines (SVMs)
Python for Machine Learning - scikit-learn - K Means
Clustering
Python for Machine Learning - scikit-learn - Principal
Component Analysis (PCA)
Recommender Systems with Python - (Additional Topic)
Python for Natural Language Processing (NLP) - NLTK -
(Additional Topic)
Course 3: SQL Programming Masterclass
Introduction
Setting up Course Tools
Browsing & Filtering Data
Filter Data with AND, OR, NOT Operators
Math Operations
String Concatenation
Tidy Up Your Results: Sorting, Alias Names, Limit
Records
NULL, DISTINCT & CASE Statements
Functions in SQL: Multiple-Row Functions
Functions in SQL: Single-Row Functions
Nested Queries
Casting & Data Conversion
Combination Relationships
Joins in SQL
Data Manipulation (DML)
SQL Data Definition Language (DDL)
Course 4: Data Science & Machine Learning with R
Data Science and Machine Learning Course Intro
Data Types and Structures in R
Data Types and Structures in R
Intermediate R
Data Manipulation in R
Data Visualisation in R
Creating Reports with R Markdown
Building WebApps with R Shiny
Introduction to Machine Learning
Starting A Career in Data Science
Course 5: Data Analytics with Tableau
Introduction to the Course
Project 1: Discount Mart (Sales and Profit Analytics)
Project 2: Green Destinations (HR Analytics)
Project 3: Superstore (Sales Agent Tracker)
Northwind Trade (Shipping Analytics)
Project 5: Tesla (Stock Price Analytics)
Bonus: Introduction to Database Concepts
Tableau Stories
Course 6: Basic Google Data Studio
Introduction to GDS
Data Visualisation
Geo-visualisation
A Socio-Economic Case Study
Course 7: Business Intelligence and Data Mining Masterclass
What is Business Intelligence?
Starting Case in understanding BI needs in diff phases
of business
Decision-Making Process and Need for IT Systems
Problem Structure and Decision Support System
Introduction to BI Applications
Dashboard presentation systems
Different Types of Charts used in 131 Dashboards
Good Dashboard and BSC
Examples of Bad Dashboards
Process of KPI Development
Overview of Data Warehouse
More explanation of the data warehouse and steps in
processing
Data Warehouse Architecture -Tiers
Data Warehouse - components
Approach to developing data structure and Models of
database
Basics of Data Mining - Meaning
Basics of Data Mining - Stages of DM
Data Mining Technique - Classification
Data mining - Clustering
Data Mining - Association Rules
Data Mining Applications - Banking
Data Mining Applications - CRM
Data Mining Applications - other industries
Course 8: Business Analysis Level 3
Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis & Management
Process Improvement with Gap Analysis
Documenting & Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 9: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Introduction
Prepaid Expenses Models: Resources Download
Accounting for Prepaid Expenses
Excel Formulas Detailed: Introduction to three Excel
Models
Formula-Based Prepaid Expenses Model
Calculate Prepaid Expenses Amortisation from Exact
Start Date
Prepaid Expenses Summary with Power Query & Pivot
Table
Advanced VBA Prepaid Expenses Amortisation Model
BONUS: Dynamic Dashboard for Divisional Profit &
Loss statements: Easy Way
Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic
Course 10: Cloud Computing CompTIA Cloud+ (CV0-002)
What You Need to Know
Introducing the Cloud
System Requirements for Cloud Deployments
Cloud Storage
Cloud Compute
Cloud Networking
Cloud Security
Migrating to the Cloud
Maintaining Cloud Solutions
Troubleshooting Cloud Solutions
Course 11: GDPR Data Protection
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Course 12: ChatGPT Crash Course
Sign up for an OpenAI Account
What can ChatGPT do for you?
ChatGPT for Business
ChatGPT for Teaching
ChatGPT for Research
Limitations of ChatGPT
Additional Videos
 CPD 
130 CPD hours/points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst (Data Analytics) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this Data Analyst (Data Analytics) bundle course. Students can take this course to gather professional knowledge besides their studies or for the future. 
Aspiring data analysts
Business analyst professionals who want to improve their skills
Anyone who desires to develop their data analysis skills
 
 Career path 
This Data Analyst (Data Analytics) Bundle is ideal for those who want to take their development to the next level and fast-track their career in any of the following roles:
Data Analyst: £30,000 - £50,000
Senior Data Analyst: £50,000 - £70,000
Data Scientist: £70,000 - £100,000
Business Intelligence Manager: £60,000 - £80,000
Machine Learning Engineer: £60,000 - £90,000
 Certificates 
Certificate of Completion
Digital certificate - Included
PDF certificate - Free (Previously, it was £6*12 = £72)
Certificate of Completion
Hard Copy certificate - Included
Hard Copy Certificate - Free (For The Title Course: Previously, it was £10)
Other Hard Copy certificates are available for £10 each
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Google Data Studio

GDPR

Data Mining

Tableau

Python

ChatGPT

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Data Analyst (Data Analytics) Diploma - CPD Certified

<p fr-original-style="" id="isPasted" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Data has become the most important resource for every organisation &ndash; but the insights gained from data analysis will only ever be truly valuable if they can be clearly expressed to other people.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is for anybody who works with data, and needs to communicate the meaning that&#39;s in the numbers to colleagues, customers, bosses or external stakeholders.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">It will give you or your team the confidence and skills to translate raw data into compelling visual stories for your key audiences. The principles and skills covered apply to the simplest PowerPoint chart, to more complex interactive visualisations.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We&rsquo;ll work with you before the course to ensure that we understand your organisation and what you&rsquo;re hoping to achieve.&nbsp;<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Sample learning content</strong></span></p><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;">Session 1: What makes a great data-driven story</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">The key elements of a successful infographic or presentation.</li><li fr-original-style="" style="box-sizing: border-box;"> Industry best practice, and discussion of good (and bad) examples. </li><li fr-original-style="" style="box-sizing: border-box;">A simple framework for identifying the Audience, Story and Action. </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;">Session 2: Data in context</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">How to balance function and aesthetic appeal.&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;"> Identifying the right graph, chart, infographic or other visual.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Framing the data and providing contextual information.  </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;">Session 3: Designing for the human brain</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Using colours to add emphasis and meaning.  </li><li fr-original-style="" style="box-sizing: border-box;">Design and layout principles, and creating hierarchies of information. </li><li fr-original-style="" style="box-sizing: border-box;">The principle of &lsquo;self-sufficiency&rsquo;, and removing clutter.  </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;">Session 4: Navigation and narrative</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Tailoring visualisations for different types of communications.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Structuring presentations and longer reports.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Thinking in layers to create interactive dashboards. </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; 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;">Delivery</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive &ndash; every session includes a mix of formal tuition and hands-on exercises.  To ensure this is possible, the number of attendees is capped at 16 people.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; 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;">Tutor</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Cond&eacute; Nast International as product owner on a bespoke digital asset management system for their 11 global markets. </p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Testimonial</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&ldquo;I was familiar with Alan&rsquo;s work as a Guardian Masterclass instructor on data visualisation and digital journalism, which made it easy for me to recommend him for onsite training at the Liverpool School of Tropical Medicine. &nbsp;We had a large group of people interested in honing their abilities to depict their research and stories in engaging ways. &nbsp;Alan&rsquo;s course provided great insight about common communication pitfalls and how to avoid them, how to become better communicators by understanding the audience diversity, and it showcased some great online tools for creating infographics. &nbsp;This should be mandatory training for all students, academics, report writers and those involved with conveying research to the media as it will help increase the clarity and accessibility of our own research stories.&rdquo; <br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Dr Lee Haines | Liverpool School of Tropical Medicine</em></strong></p>

184 Courses delivered Online

Sage Training Courses

By Apex Learning

Business Intelligence Analyst Course

By NextGen Learning

Data Analytics

By Janets

Data visualization and infographics

By Fire Plus Algebra

Basic Google Data Studio

By Course Cloud

QGIS Cartography and ArcGIS

By Academy for Health and Fitness

Python Data Science - QLS Machine Learning

By Kingston Open College

Data Science and Artificial Intelligence (Online) Course

By One Education

Business Intelligence Analyst Course

By Studyhub UK

Business Intelligence Analyst Course

By Skill Up