1727 Analytics courses delivered Online

Are you ready to embark on an enlightening journey of wisdom with the Web Analytics 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 - Web Analytics Training. Delve into eight immersive CPD Accredited courses, each a standalone course: Course 01: Google Analytics for Everyone Course 02: Diploma in Data Analytics with Tableau Course 03: HTML Web Development Crash Course Course 04: Learn MySQL from Scratch for Data Science and Analytics Course 05: Big Data Analytics with PySpark Power BI and MongoDB Course 06: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 07: Learn Financial Analytics and Statistical Tools Course 08: Customer Analytics Training Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Web Analytics Training bundle illuminate your path to wisdom. The Web Analytics Training 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. In the framework of the Web Analytics Training 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 Web Analytics 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! So, don't wait further and join the Web Analytics Training community today and let your voyage of discovery begin! Learning Outcomes: Attain a holistic understanding in the designated areas of study with the Web Analytics bundle. Establish robust bases across each course nestled within the Web Analytics bundle. Decipher intricate concepts through the articulate content of the Web Analytics bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the Web Analytics 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. The Web Analytics 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 Web Analytics bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Web Analytics 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 Web Analytics bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Web Analytics journey and let knowledge guide you towards a brighter future. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Career path Armed with the Web Analytics 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's academic research, consultancy, or programme management, the Web Analytics bundle lays a solid groundwork. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hard copy Transcript - £9.99

🚀 Unlock Your Business Potential: Maximizing Revenue Through Google Analytics Mastery 🚀 Are you ready to revolutionize your business and skyrocket your revenue? Introducing our groundbreaking online course: Maximizing Revenue Through Google Analytics Mastery! 🌐💰 In today's digital age, data is power, and Google Analytics is the key to unlocking unparalleled insights into your online presence. Whether you're a seasoned entrepreneur or just starting your online journey, this course is your roadmap to transforming raw data into actionable strategies that will supercharge your revenue streams.   🌟 Why Google Analytics Mastery? 🔍 Uncover Hidden Opportunities: Learn how to navigate the intricate web of data with ease. Discover untapped markets, identify high-converting channels, and capitalize on opportunities you never knew existed. 💡 Strategic Decision-Making: Translate data into actionable insights. Develop a data-driven mindset that empowers you to make informed decisions, optimize your marketing efforts, and maximize your ROI. 📊 Revenue-Boosting Tactics: Dive deep into advanced analytics techniques. From setting up custom tracking to interpreting user behavior, we'll teach you the tactics that turn casual visitors into loyal customers.   🚀 Course Highlights: ✅ Comprehensive Curriculum: Our expertly crafted modules cover everything from Google Analytics basics to advanced strategies for revenue optimization. ✅ Hands-On Learning: Practical exercises and real-world case studies ensure you apply your newfound knowledge in a meaningful way. ✅ Expert Guidance: Learn from industry experts with a proven track record in leveraging Google Analytics for substantial revenue growth. ✅ Lifetime Access: Enjoy unlimited access to course materials, updates, and a supportive community to enhance your learning experience. ✅ Certificate of Mastery: Showcase your expertise with a certificate upon course completion. Course Curriculum Basic Pre Sell 00:00 Overview 00:00 Navigation And Admin 00:00 Navigation And Admin(2) 00:00 Creating a New Google Analytics Account 00:00 Website Account Creation 00:00 Connecting To WordPress Website 00:00 Connecting To HTML Site 00:00 Connect Custom Page and Site Builders 00:00 Setting Up Annotations 00:00 Setting Up Intelligence Events 00:00 Set Up Custom Segments 00:00 Export Data For Analysis 00:00 Set Up Custom Reports 00:00 Set Up Google Integrations 00:00 Google Analytics Templates 00:00 Real Time Reporting 00:00 Setting Up Goals 00:00 Third Party Integrations 00:00 Audience Menu Overview 00:00 Interests and Geography 00:00 Conclusion 00:00 Advanced

Are you ready to unlock the power of data and gain a competitive edge in business? Look no further than our captivating bundle: Statistical Analysis with Data Analytics & Business Intelligence. In the UK, professionals with expertise in statistical analysis, data analytics, and business intelligence can command an impressive salary range of £35,000 to £70,000 per year, reflecting the high demand for these skills in today's data-driven economy. In today's data-driven world, the ability to analyse and interpret data is in high demand. This bundle combines three essential courses that will empower you to become a proficient statistical analyst, data analytics expert, and business intelligence analyst. You'll learn the fundamentals of statistics, explore advanced data analytics techniques, and master leveraging data for business intelligence. Each course in this Statistical Analysis with Data Analytics & Business Intelligence bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated. This Statistical Analysis with Data Analytics & Business Intelligence bundle promises an evolving learning experience. Engage in this extraordinary collection, and prepare to enrich your personal and professional development. Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now! The courses in this bundle include: Statistics Data Analytics Business Intelligence Analyst Learning Outcomes: Strong Foundation in Statistics: Develop a solid understanding of statistical concepts, including probability, hypothesis testing, regression analysis, and data distributions. Proficient Data Analytics Skills: Gain hands-on experience in data analysis, wrangling, and visualisation techniques using popular tools and software. Advanced Statistical Techniques: Learn advanced statistical methods such as multivariate analysis, time series analysis, and predictive modelling to extract valuable insights from complex datasets. Business Intelligence Expertise: Acquire the skills to design and develop visually compelling dashboards, reports, and data-driven strategies to support informed decision-making in organisations. Data-driven Decision-making: Learn how to leverage data to identify trends, patterns, and correlations, enabling evidence-based decision-making that drives business growth and success. Effective Communication of Insights: Develop the ability to communicate complex data insights to non-technical stakeholders, translating data findings into actionable recommendations. The Statistical Analysis with Data Analytics & Business Intelligence bundle offers a comprehensive course to equip learners with the skills and knowledge needed to excel in statistical analysis, data analytics, and business intelligence. The Statistics Essentials course provides a comprehensive introduction to the fundamental principles of statistical analysis. You will explore probability theory, hypothesis testing, confidence intervals, and regression analysis. You will develop skills to analyse and interpret data. This solid foundation for your statistical journey enables you to apply statistical techniques to various fields. In the Data Analytics course, you will delve into the exciting realm of data exploration and analysis. You will learn how to extract, clean, and transform data from diverse sources, ensuring its quality and reliability. Through hands-on exercises and case studies, you will acquire the skills to apply advanced data analytics techniques, including data visualisation, predictive modelling, and pattern recognition. By the end of this course, you will be equipped with the tools to uncover valuable insights from complex datasets and contribute to evidence-based decision-making. The Business Intelligence Analyst course focuses on developing your business intelligence and data visualisation expertise. You will learn how to design and create interactive dashboards using industry-leading tools, generate comprehensive reports, and deliver meaningful insights to stakeholders. Additionally, you will gain an understanding of data management, data governance, and the role of business intelligence in strategic decision-making. Take advantage of this incredible opportunity to become a skilled statistical analyst, data analytics expert, and business intelligence professional. Enrol in the Statistical Analysis with Data Analytics & Business Intelligence bundle today and unlock endless possibilities. Start your journey towards a rewarding career in the dynamic field of data-driven decision-making. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The target audience for the course is: Professionals seek to enhance their analytical skills and broaden their career prospects in data-driven roles. Individuals are interested in pursuing a career as a data analyst, business intelligence analyst, or data scientist. Business professionals who want to leverage data to make informed decisions and drive organisational success. Graduates or students with a background in mathematics, statistics, or a related field looking to specialise in data analytics and business intelligence. Entrepreneurs or business owners who want to harness the power of data to optimise their operations and strategic decision-making. Career path Some of the career paths related to this field are: Data Analyst: £25,000 - £45,000 per year Business Intelligence Analyst: £30,000 - £55,000 per year Data Scientist: £40,000 - £70,000 per year Analytics Manager: £45,000 - £80,000 per year Statistical Analyst: £30,000 - £55,000 per year Market Research Analyst: £25,000 - £45,000 per year Data Consultant: £35,000 - £70,000 per year Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - £9.99 Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates! Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for Statistics absolutely free! Upon finishing Data Analytics and Business Intelligence Analyst, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!

If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.

Duration 3 Days 18 CPD hours This course is intended for Before taking this course delegates should already be familiar with basic analytics techniques, comfortable with basic data manipulation tools such as spreadsheets and databases and already familiar with at least one programming language Overview This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively use the programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. Outcomes: After completing the course, delegates will be capable of writing production-ready R code to perform advanced analytics tasks enabling their organisations make better, data-driven decisions. Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. Topic 1 Intro to our chosen language Topic 2 Basic programming conventions Topic 3 Data structures Topic 4 Accessing data Topic 5 Descriptive statistics Topic 6 Data visualisation Topic 7 Statistical analysis Topic 8 Advanced data manipulation Topic 9 Advanced analytics ? predictive modelling Topic 10 Advanced analytics ? segmentation

Explore the diverse realm of Big Data Analytics, delving into data mining, machine learning, and natural language processing. Uncover the ethical and legal dimensions, and gain practical insights through real-world case studies. Discover types of Big Data analytics, delve into the data mining process, and apply machine learning techniques. Learn about natural language processing principles, assess the impact across industries, and navigate ethical considerations. After the successful completion of this course, you will be able to: Identify the types of Big Data analytics, such as descriptive, predictive, and prescriptive analytics. Understand the data mining process and its role in Big Data analytics. Apply machine learning techniques like classification, regression, and clustering to analyse Big Data. Describe the principles and applications of natural language processing in Big Data analytics. Recognize the benefits and limitations of Big Data analytics in different industries, such as healthcare, finance, and marketing. Evaluate the accuracy and reliability of Big Data analytics results. Understand Big Data analytics's ethical and legal considerations, such as data privacy and intellectual property rights. Analyze case studies and examples of successful implementation of Big Data analytics in different industries, such as predicting customer churn, fraud detection, and personalized medicine. Immerse yourself in Big Data Analytics, mastering techniques to extract valuable insights. From predictive modelling to ethical considerations, this course empowers you with the skills to excel in a data-driven landscape, with applications ranging from healthcare to finance. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Big Data Analytics, Techniques and Models Self-paced pre-recorded learning content on this topic. Big Data Analytics Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Big Data Analyst Data Scientist Machine Learning Engineer Business Intelligence Analyst Predictive Analytics Expert Information Architect Data Engineer AI Solutions Architect Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: 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 matplotlib 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 & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 03: Statistical Analysis Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! 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.

Register on the Google Analytics Fundamentals today and build the experience, skills and knowledge you need to enhance your expert development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. 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. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Google Analytics Fundamentals 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. 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! Why Choose this Course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design 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. You are taught through a combination of- Video lessons Online study supplies Assignment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £69. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets 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. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? The course is ideal for those who already work in this sector or are an aspiring expert. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a Certificate of Achievement to prove your newly-acquired knowledge. Course Content Google Analytics Fundamentals Module 01: Overview 00:02:00 Module 02: Navigation and Admin 00:03:00 Module 03: Creating a New Google Analytics Account 00:03:00 Module 04: Website Account Creation 00:05:00 Module 05: Connecting To WordPress Website 00:03:00 Module 06: Connecting To HTML Site 00:03:00 Module 07: Connect Custom Page and Site Builders 00:03:00 Module 08: Setting Up Annotations 00:03:00 Module 09: Setting Up Intelligence Events 00:03:00 Module 10: Set Up Custom Segments 00:02:00 Module 11: Export Data for Analysis 00:03:00 Module 12: Set Up Custom Reports 00:03:00 Module 13: Set Up Google Integrations 00:03:00 Module 14: Google Analytics Templates 00:02:00 Module 15: Real Time Reporting 00:02:00 Module 16: Setting Up Goals 00:04:00 Module 17: Third Party Integrations 00:03:00 Module 18: Audience Menu Overview 00:04:00 Module 19: Interests and Geography 00:03:00 Module 20: Conclusion 00:01:00 Assignment Assignment - Google Analytics Fundamentals 4 days, 23 hours Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? 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. Can I access the course at any time, or is there a set schedule? 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. How long will I have access to the course? 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. Is there a certificate of completion provided after completing the course? 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. Can I switch courses or get a refund if I'm not satisfied with the course? 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. How do I track my progress in the course? 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. What if I have technical issues or difficulties with the course? 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.

Imagine a world where the vast realms of IT and analytics seem intricate, and the data emanating from every corner feels overwhelming. Now, reimagine a world where you have the power to interpret, analyse, and make that data sing a tune of actionable insights. Welcome to our "IT and Analytics" bundle, where complexity turns into simplicity. Dive deep into the myriad elements of IT and analytics, encompassing everything from the basics of Google Analytics and Excel Pivot Tables to the advanced nuances of Windows 10 troubleshooting. This comprehensive bundle caters to both beginners and seasoned professionals, offering in-depth theoretical knowledge that is instrumental in the real world. By immersing yourself in these carefully curated courses, you are setting the foundation for deciphering data, understanding IT basics, and recruiting the right IT talent. The purpose of this bundle is clear: to mould learners into well-rounded professionals with a keen sense for IT and analytics. Whether you're looking to streamline business processes, bolster your IT department, or simply understand the data-centric world around you, this is your golden ticket. Take the leap and embrace the future of IT and analytics today! Courses Included: Course 1: Google Analytics for Everyone Course 2: RCA: Root Cause Analysis Course 3: SQL for Data Science, Data Analytics and Data Visualization Course 4: Introduction to Data Analytics with Tableau Course 5: Excel Pivot Tables Course 6: CompTIA IT Fundamentals ITF+ (FCO-U61) Course 7: Recruitment: IT Basics for IT Recruiters Course 8: Advance Windows 10 Troubleshooting for IT HelpDesk Learning Outcomes: Understand the fundamentals and advanced features of popular IT and analytics platforms. Gain theoretical insights into root cause analysis and its applications. Enhance decision-making abilities through data visualisation techniques. Grasp the essence of IT recruitment and selection of appropriate candidates. Master troubleshooting methods and strategies for Windows 10. Build foundational knowledge in IT essentials through the CompTIA IT Fundamentals ITF+ curriculum. Google Analytics for Everyone Decode user behaviour and make informed decisions with Google Analytics. RCA: Root Cause Analysis Uncover the underlying reasons behind complex issues through structured analysis. SQL for Data Science, Data Analytics and Data Visualization Harness the power of SQL for effective data science and visualization. Introduction to Data Analytics with Tableau Dive into data storytelling and visualisation with Tableau. Excel Pivot Tables Master Excel's Pivot Tables for dynamic data analysis. CompTIA IT Fundamentals ITF+ (FCO-U61) Establish a solid IT foundation with CompTIA IT Fundamentals. Recruitment: IT Basics for IT Recruiters Learn the essentials of IT recruitment and talent selection. Advance Windows 10 Troubleshooting for IT HelpDesk Elevate your troubleshooting skills for Windows 10 environments. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data analysts keen on mastering theoretical aspects of IT and analytics. IT enthusiasts looking to enhance their knowledge base. Business professionals aiming to understand IT-related decisions better. HR and recruitment professionals with a focus on IT hiring. Anyone with a passion for data interpretation and the world of IT. Career path Data Analyst - £30K to £50K/year. IT Support Specialist - £25K to £45K/year. IT Recruiter - £28K to £55K/year. Database Administrator - £35K to £60K/year. Business Intelligence Analyst - £32K to £58K/year. IT Consultant - £40K to £70K/year. Systems Administrator - £30K to £55K/year. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.