1000 Data Analysis courses in Manchester delivered On Demand

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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 Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

QLS Endorsed Diploma! Free 3 QLS Certificate + Free 5 CPD Course & Assessments> 550 CPD Points > Lifetime Access

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.

This course is designed for beginners, although we will go deep gradually, and is a highly focused course designed to master your Python skills in probability and statistics, which covers the major part of machine learning or data science-related career opportunities.

Description: Explore all that you need at an advanced level to become a proficient Microsoft OneNote 2010 user. This course will help you learn more advanced skills for working with your Notebooks. It demonstrates the new and enhanced features in Microsoft OneNote 2010 for gathering and sharing information. Students will explore OneNote 2010 interface features, including creating switchboards, macros, original reports, custom buttons, and in-depth custom queries for detailed data analysis. Students will also explore the best practices to employ during initial design and creation steps. In this course you will learn the necessary skills, knowledge and information of Microsoft One Note 2010.  Who is this course for? This course would be ideal for Microsoft Office users, students, and office workers. This course is designed for anyone who wants to learn Microsoft one note 2010 at an advanced level. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Microsoft One Note 2010 Advanced Level will be very beneficial and helpful, especially to the following professionals: Event planner Project manager Real estate agent Travel agent Teacher Lawyer Microsoft One Note 2010 Advanced Level Module One - Getting Started 00:30:00 Module Two - Upgrading from One Note 2007 or 2003 01:00:00 Module Three - Staying Organized 01:00:00 Module Four - Note Taking Tools 01:00:00 Module Five - Text and Page Formatting 01:00:00 Module Six - Drawing and Handwriting Notes 01:00:00 Module Seven - Office Integration 01:00:00 Module Eight - Researching a Topic 01:00:00 Module Nine - Linked Notes 01:00:00 Module Ten - Collaborating 01:00:00 Module Eleven - Other Tools 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Microsoft One Note 2010 Advanced Level 00:00:00 Mock Exam Mock Exam- Microsoft one note 2010 advanced level 00:20:00 Final Exam Final Exam- Microsoft one note 2010 advanced level 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Marketing isn’t guesswork—it’s data, patterns, and informed decision-making. The Fundamentals of Marketing Analytics course is designed for professionals and learners who want to understand what’s really driving performance behind the scenes. From decoding consumer behaviour to tracking digital campaign performance, this course covers the essential methods marketers use to measure success and justify every penny spent. With a focus on clear strategy and intelligent data interpretation, this course walks you through the key metrics and tools used in today’s digital marketing landscape. Whether you’re analysing web traffic, social media insights, or conversion rates, you'll learn how to connect the dots and spot what’s working (and what’s not). Ideal for those who enjoy both creativity and numbers, this course brings marketing decisions to life—with logic, not luck. Ask ChatGPT Learning Outcomes: Understand the basics of marketing and the importance of marketing analytics Develop effective customer acquisition and retention strategies Analyse customer profitability to develop effective contact strategies Measure the effectiveness of marketing campaigns using campaign analytics Use marketing analytics to drive marketing strategies and improve business operations Our Fundamentals of Marketing Analytics course is designed to help you gain a deeper understanding of marketing analytics and develop effective marketing strategies. With 2 comprehensive modules, you will learn how to develop effective customer acquisition and retention strategies, analyse customer profitability, measure the effectiveness of marketing campaigns, and use marketing analytics to drive business operations. This course is perfect for anyone looking to enhance their understanding of marketing analytics and take their marketing campaigns to the next level. Whether you are a business owner, marketer, or digital strategist, this course will help you master the skills you need to make informed marketing decisions and drive results. Fundamentals of Marketing Analytics Course Curriculum Section 01: Introduction To Marketing Analytics Overview Section 02: Basic Concepts In Marketing Analytics Overview How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: 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. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Business owners who want to improve their marketing campaigns Marketers who want to optimise their marketing strategies Digital strategists who want to gain a deeper understanding of marketing analytics Students who want to explore the field of marketing analytics Professionals who want to enhance their data analysis skills Career path Marketing Analyst: £20,000 - £40,000 Digital Marketing Specialist: £25,000 - £50,000 Marketing Manager: £30,000 - £60,000 Senior Digital Strategist: £40,000 - £80,000 Head of Marketing: £60,000 - £120,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Explore the laws of the universe with this self-paced course from Spark Generation! From mechanics to electromagnetism, learn more about the world of matter and energy. This self-paced course guides you through real-world applications, experiments, and problem-solving exercises. Join us to unravel the mysteries of the physical world!

Explore the laws of the universe with this Cambridge self-paced course from Spark Generation! You will have the flexibility to learn when and where you want, as the course is one click away.

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Learn Geotechnical Engineering from anywhere in the world The Geotechnical Engineering is affordable and simple to understand The Geotechnical Engineering is an entirely online, interactive lesson with voiceover audio Lifetime access to the Geotechnical Engineering course materials The Geotechnical Engineering comes with 24/7 tutor support Start your learning journey straight away! The "Geotechnical Engineering Bundle" provides an extensive array of courses that equip learners with cutting-edge skills and knowledge in the field of geotechnical engineering and related disciplines. By diving into advanced Geology and Structural Analyses of the Earth's Landscape, participants will gain a robust understanding of geological processes and structures, enhancing their ability to tackle complex geotechnical challenges. 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The skills and knowledge gained from this course will enable learners to make meaningful contributions to Geotechnical Engineering related fields impacting their Geotechnical Engineering experiences and long-term development. 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Course Overview Make your critical data easier to follow with dashboards displaying the main insights when you train to use Data Analytics with Google Data Studio. Sometimes analysts find that their collated information on Google Sheets is not viewed subjectively by clients or that they take unexpected conclusions from it. You can learn to eliminate this possibility by utilising the functions of Google Data Studio (GDS), the premier online tool for converting data into customisable informative reports and dashboards for easy perusal. This Data Analytics training provides a total learning curve for GDS and how to get the very best results from it. You will be taught the basic functions of Google Sheets, including queries and calculations. Following this, you will be given a masterclass on GDS itself, from its field calculation abilities to its layout design and accommodating a client's page requirements. With this expert tuition, you will be able to effortlessly format data and underline all of the key findings with a simple click or touch of the screen. Make your data speak volumes with this valuable course. This best selling Data Analytics with Google Data Studio has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Data Analytics with Google Data Studio is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Data Analytics with Google Data Studio 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 Data Analytics with Google Data Studio 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. After successfully completing the Data Analytics with Google Data Studio, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Data Analytics with Google Data Studio will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Data Analytics with Google Data Studio 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.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.