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***24 Hour Limited Time Flash Sale*** Data Analysis, Statistics & Economics - QLS Endorsed Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Immerse yourself in the realm of Data Analysis, Statistics & Economics with our eight-course bundle, meticulously curated to offer a robust foundation in these critical fields. Our comprehensive package includes three prestigious QLS-endorsed courses in Statistics, Economics, and Basic Data Analysis, ensuring a strong foundational understanding. Plus, we supplement this knowledge with five relevant CPD QS accredited courses encompassing cutting-edge domains like Google Data Studio, Azure Machine Learning, AWS SageMaker Canvas, and more. No matter your current knowledge level, this course bundle will deepen your understanding of Data Analysis, Statistics & Economics and elevate your theoretical knowledge. Your achievement will be acknowledged with a hardcopy certificate for each QLS-endorsed course, a tangible testament to your dedication and hard work. In this digital age, skills in Data Analysis, Statistics & Economics are more than just desirable; they're indispensable. Equip yourself with the theoretical knowledge needed to navigate the complexities of these domains confidently. Whether you're looking to enhance your current skillset, seeking a career change, or just curious, this bundle is the perfect choice. Dive into the world of Data Analysis, Statistics & Economics today, and prepare to discover a wealth of knowledge. Key Features of the Data Analysis, Statistics & Economics Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our [Course_Title] bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Statistics QLS Course 02: Economics QLS Course 03: Basic Data Analysis 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Google Data Studio: Data Analytics Course 02: Azure Machine Learning Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Data Analysis, Statistics & Economics courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes Gain a robust theoretical understanding of Statistics, Economics & Basic Data Analysis. Develop a strong foundation in Google Data Studio for data analytics. Acquire theoretical knowledge of Azure Machine Learning and its applications. Familiarise with Machine Learning model creation using AWS SageMaker Canvas. Understand the role of Statistics & Probability in Data Science and Machine Learning. Learn the principles and applications of Data Science & Machine Learning with R. Receive QLS-endorsed hardcopy certificates for three foundational courses. Dive into the comprehensive world of Data Analysis, Statistics & Economics with our tailored eight-course bundle. Our blend of three QLS-endorsed courses and five CPD QS accredited courses ensures a well-rounded understanding of these ever-relevant fields. Enhance your theoretical knowledge base and embrace the opportunity to explore different facets of these domains, from basic principles to the utilisation of cutting-edge tools. CPD 270 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in gaining a theoretical understanding of Data Analysis, Statistics & Economics. Professionals looking to supplement their existing knowledge with a broadened skillset. Students seeking to complement their academic studies with additional courses. Career changers looking to delve into the fields of Data Analysis, Statistics & Economics. Career path Data Analyst: £26,000 - £50,000 Economic Consultant: £30,000 - £60,000 Statistical Analyst: £30,000 - £55,000 Machine Learning Engineer: £40,000 - £80,000 Business Intelligence Analyst: £35,000 - £65,000 Operations Research Analyst: £28,000 - £55,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Welcome to the world of machine learning, Java, and Python programming! This exciting bundle offers a comprehensive learning experience with a variety of courses that will equip you with the knowledge and skills needed to excel in these fields. Within this bundle, you will find a total of eight courses, including three QLS-endorsed courses and five relevant CPD QS-accredited courses. The three QLS-endorsed courses in this bundle are the Machine Learning with Python course, the Introduction to Java course, and the Diploma in Python Programming. These courses have been carefully curated and designed to provide you with a solid foundation in machine learning and programming using both Java and Python. Upon completion of these courses, you will receive hardcopy certificates to showcase your achievement. In addition to the QLS-endorsed courses, this bundle also includes five CPD QS-accredited courses. These courses are highly relevant to the field and will further enhance your understanding and expertise. They include Azure Machine Learning, Complete Python Machine Learning & Data Science Fundamentals, Machine Learning Model Using AWS SageMaker Canvas, Statistics & Probability for Data Science & Machine Learning, and 2021 Data Science & Machine Learning with R from A-Z. Key Features of the Machine Learning, Java and Python Programming Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Machine Learning, Java and Python Programming bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Machine Learning with Python QLS Course 02: Introduction to Java QLS Course 03: Diploma in Python Programming 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Azure Machine Learning Course 02: Complete Python Machine Learning & Data Science Fundamentals Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Machine Learning, Java and Python Programming courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Gain a comprehensive understanding of machine learning principles and algorithms. Develop proficiency in programming with Python and Java, and apply these skills to real-world projects. Explore the fundamentals of data science and statistical analysis. Learn how to leverage cloud-based platforms, such as Azure and AWS, for machine learning tasks. Build and deploy machine learning models using various frameworks and tools. Acquire practical knowledge in data preprocessing, feature selection, and model evaluation techniques. Gain expertise in using R for data science and machine learning applications. This bundle combines the power of machine learning, Java programming, and Python programming to provide you with a comprehensive skill set in these high-demand fields. With a total of eight courses, including three QLS-endorsed and five CPD QS-accredited courses, this bundle covers all the essential topics and techniques needed to succeed. Whether you are a beginner looking to enter the world of machine learning and programming or an experienced professional seeking to expand your knowledge and skills, this bundle has something for everyone. From understanding the fundamentals to applying advanced algorithms, you will gain a deep understanding of machine learning principles and the ability to develop robust applications using Java and Python. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in starting a career in machine learning, Java programming, or Python programming. Professionals seeking to enhance their skills and stay updated with the latest trends in these fields. Students pursuing degrees in computer science, data science, or related disciplines. Anyone looking to broaden their knowledge and explore the exciting field of machine learning and programming. Career path Machine Learning Engineer: £45,000 - £90,000 per year Data Scientist: £40,000 - £80,000 per year Java Developer: £30,000 - £70,000 per year Python Developer: £35,000 - £75,000 per year Cloud Solutions Architect: £50,000 - £100,000 per year Statistical Analyst: £35,000 - £65,000 per year Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Overview Functional maths and English skills are highly valued in a wide range of industries. From education to marketing, these skills can open career opportunities in a wide range of areas. Polish your maths and English skills with our Functional Skills Maths & English course. This course aims to help you develop both English and maths skills in one place. The modules will provide detailed lectures on the vital areas of maths such as fractions, percentages, probability, decimals and more. Then, you will learn the core concepts and rules of English grammar, sentence structure and punctuation. Here, you will also get the chance to work on your speaking and writing skills. If you are determined to take your maths and English skills to the next level, join today! Course Preview Learning Outcomes Familiarise yourself with the multiple factors Understand the core principles of fractions and power Get detailed lessons on percentages, averages, expressions and decimals Learn the fundamentals of English grammar, punctuation and spelling Improve your English-speaking skills Understanding the principles of English sentence structure Develop the skills required for English writing Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Engaging tutorial videos, materials from the industry-leading experts Opportunity to study in a user-friendly, advanced online learning platform Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email. What Skills Will You Learn from This Course? Functional Maths Functional English Who Should Take This Functional Skills Maths & English Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Functional Skills Maths & English course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path​ This exclusive Functional Skills Maths & English course will equip you with effective skills and abilities and help you explore career paths such as  Maths Teacher English Teacher Online Tutor Teaching Assistant Module 01: Introduction to Numbers Introduction to Numbers 00:10:00 Module 02: Multiples Factors Multiples Factors 00:11:00 Module 03: Fractions and Power Fractions and Power 00:15:00 Module 04: Percentages and Averages Percentages and Averages 00:12:00 Module 05: Expressions Expressions 00:06:00 Module 06: Decimals Decimals 00:08:00 Module 07: Exponents and Radicals Exponents and Radicals 00:09:00 Module 08: Graphs Graphs 00:05:00 Module 09: The Profit and Loss The Profit and Loss 00:06:00 Module 10: Perimeter and Area Perimeter and Area 00:08:00 Module 11: Probability Probability 00:06:00 Module 12: Reading Reading 00:17:00 Module 13: Writing Writing 00:16:00 Module 14: Speaking Speaking 00:22:00 Module 15: Grammar, Spelling and Punctuation Grammar, Spelling and Punctuation 00:23:00 Module 16: Sentence Structure Sentence Structure 00:11:00 Module 17: Composition Writing Composition Writing 00:12:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This course covers the fundamental topics of statistical methodology, enabling you to understand the application and interpretation of linear and non-linear regression modeling.

Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

This Diploma in Statistics Essentials at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! Dive into the exciting world of statistics to solidify your understanding of numbers and take your career to the next level with our Statistics Essentials at QLS Level 4 course. A proficient understanding of statistics can unlock numerous professional opportunities in the UK, because here, statistics specialists earn an average of £50,000 to £60,000 annually, and the demand for their skills continues to surge. Our carefully curated course explores the core elements of statistics, presenting you with profound knowledge that helps you unravel complex data patterns. This course encompasses topics which are the core concepts of Statistics which help you better understand the subject. Don't miss this opportunity!Choose the Statistics Essentials course today and set yourself on the trajectory of success in this burgeoning field! Learning Outcomes: By the end of this Statistics Essentials course, learners will be able to: Understand fundamental concepts in statistics. Calculate central tendency in data analysis with Statistics. Utilize dispersion measures for data variability in Statistics. Apply correlation and regression analysis in Statistics. Apply probability theory practically with Statistics. Master sampling principles and methods in Statistics. Visualize data with charts and graphs in Statistics. This Statistics Essentials at QLS Level 4 training can help you accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer This Statistics Essentials at QLS Level 4 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future with the Extraordinary Statistics course! *** Course Curriculum *** Here is the curriculum breakdown of the Statistics Essentials at QLS Level 4 course: Module 01: Introduction to Statistics Module 02: Measuring Central Tendency Module 03: Measures of Dispersion Module 04: Correlation and Regression Analysis Module 05: Probability Module 06: Sampling Module 07: Charts and Graphs Module 08: Hypothesis Testing Module 09: Ten Common Statistical Mistakes Assessment Process You have to complete the assignment questions given at the end of this Statistics 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. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Statistics Essentials at QLS Level 4 exams. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Statistics at QLS Level 4 course is perfect for highly motivated people like: Beginners in statistics Data analysts Researchers Business professionals Requirements Statistics No prior background or expertise is required to enrol in this Statistics course. Career path Statistics The Statistics Essentials at QLS Level 4 course will boost your CV and aims to help you get jobs like: Statistician Business Analyst Market Analyst Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Statistics Essentials at QLS Level 4 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Statistics Essentials at QLS Level 4, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

Description Data Science Diploma Introducing the Data Science Diploma, an online course tailored for those eager to step into the dynamic world of data science. This comprehensive programme ensures participants grasp the essence of contemporary data science techniques, tools, and theories. At the core of this Data Science Diploma is the module titled Foundations of Data Science. It sets the groundwork by instilling fundamental principles, thereby preparing learners to navigate the expansive sea of data efficiently and effectively. As one progresses, the intricate elements of Data Engineering and Big Data come into play, elucidating how vast amounts of data are managed, stored, and processed. An essential aspect of data science lies in understanding uncertainty and making informed decisions. To this end, Probability and Statistics in Data Science offers learners the tools to decipher patterns, predict trends, and make data-driven decisions. Following closely, Clustering and Classification Techniques provide a deep understanding of how to categorise data into specific groups based on inherent characteristics, paving the way for more precise analysis. But what's data science without the necessary mathematical prowess? The Advanced Mathematical Modeling module hones this skill, enabling learners to craft intricate models that can simulate real-world scenarios. Such models act as the backbone of various data analyses and offer a detailed understanding of the underlying processes. The saying, 'A picture is worth a thousand words,' holds especially true in data science. With the Data Visualisation Principles and Design module, learners are equipped with the knowledge to translate complex data into visually compelling stories. This understanding is further solidified with the Web-Based Data Visualisation Tools, offering hands-on experience in using cutting-edge tools to portray data visually. The course recognises the growing demand for intuitive dashboards that provide real-time insights. The Dashboard Design and Mapping module aids participants in creating interactive and user-friendly dashboards, ensuring stakeholders get a clear and concise view of the data. Yet, as one manoeuvres through these diverse modules, a foundational understanding of computing becomes paramount. Hence, Computing for Data Science takes centre stage, familiarising learners with the computational aspects of data analysis, from algorithms to data structures. Concluding the Data Science Diploma is the module on Domain-Specific Data Science Applications. This segment offers a glimpse into how data science principles are applied across different sectors, from healthcare to finance. It accentuates the versatility of data science, proving its indispensable nature in today's digitised world. To sum up, this online Data Science Diploma ensures a holistic understanding of data science. By intertwining theory with practical application, it equips learners with the skill set required to thrive in the data-driven industries of tomorrow. So, if the realm of data beckons you, this diploma is your gateway to excellence. What you will learn 1:Foundations of Data Science 2:Data Engineering and Big Data 3:Probability and Statistics in Data Science 4:Clustering and Classification Techniques 5:Advanced Mathematical Modeling 6:Data Visualisation Principles and Design 7:Web-Based Data Visualisation Tools 8:Dashboard Design and Mapping 9:Computing for Data Science 10:Domain-Specific Data Science Applications Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

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Dive into the world of numbers and patterns with our 'Statistical Analysis Course,' where data tells stories and predictions shape the future. In the first module, you're introduced to the vast landscape of statistics, a toolset essential for deciphering the tales hidden within data. As you progress, familiarise yourself with the fundamental statistical terminology, paving the way for a deeper grasp of how data clusters around central values. The journey through this course is a blend of theory and application, from mastering the intricacies of data variability to the advanced realms of regression analysis and predictive algorithms. Learning Outcomes Gain a solid understanding of statistics and its significance in various fields. Learn to describe and utilise basic statistical terminology and methods. Comprehend and calculate measures of central tendency and data dispersion. Develop skills in probability, distribution analysis, and statistical inference. Apply statistical methods correctly and appreciate the Bayesian approach for learning from data. Why choose this Statistical Analysis Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Statistical Analysis Course Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Statistical Analysis Course for? Aspiring data analysts seeking a foundation in statistics. Business professionals who require analytical skills for data-driven decision-making. Students of the social sciences, economics, or any field involving data interpretation. Researchers needing a robust grasp of statistical analysis methods. Anyone interested in understanding how to utilise data for predictions and analytics. Career path Data Analyst - £25,000 to £40,000 Market Research Analyst - £23,000 to £35,000 Quantitative Analyst - £35,000 to £70,000 Statistical Researcher - £27,000 to £45,000 Business Intelligence Analyst - £30,000 to £55,000 Econometrician - £30,000 to £60,000 Prerequisites This Statistical Analysis Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Statistical Analysis Course 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. Certification 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. Course Curriculum Module 01: The Realm of Statistics The Realm Of Statistics 00:26:00 Module 02: Basic Statistical Terms Basic Statistical Terms 00:41:00 Module 03: The Center of the Data The Center of the Data 00:03:00 Module 04: Data Variability Data Variability 00:15:00 Module 05: Binomial and Normal Distributions Binomial and Normal Distributions 00:14:00 Binomial Probabilities Table 00:00:00 Z-Table 00:00:00 Module 06: Introduction to Probability Introduction to Probability 00:35:00 Module 07: Estimates and Intervals Estimates and Intervals 00:34:00 Module 08: Hypothesis Testing Hypothesis Testing 00:31:00 Module 09: Regression Analysis Regression Analysis 00:11:00 Module 10: Algorithms, Analytics and Predictions Algorithms, Analytics and Prediction 00:47:00 Module 11: Learning From Experience: The Bayesian Way Learning From Experience: The Bayesian Way 00:31:00 Module 12: Doing Statistics: The Wrong Way Doing Statistics: The Wrong Way 00:37:00 Module 13: How We Can Do Statistics Better How We Can Do Statistics Better 00:41:00 Assignment Assignment - Statistical Analysis Course 00:00:00