1164 Scientist courses 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

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

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

Embark on a captivating journey into the realm of plants, cultivation, and the science behind sustainable agriculture with our exclusive "Botany, Hydroponics, and Agricultural Science" bundle. This comprehensive bundle brings together the wisdom of nature and the marvels of modern science to offer you a truly enriching learning experience. What sets this bundle apart is that it features two QLS-endorsed courses, guaranteeing you hardcopy certificates upon completion. Moreover, it boasts an impressive selection of five CPD-QS accredited courses, ensuring that you gain a wealth of knowledge in relevant fields. Get ready to unlock the secrets of the green world and pave your way to success! Key Features of the Botany, Hydroponics and Agricultural Science Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Botany, Hydroponics and Agricultural Science bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Botany QLS Course 02: Hydroponics Gardening Online Course QLS Course 03: Agricultural Science 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: Ecology Course 02: Environmental Law 2021 Course 03: Animal Science Course 04: Zoology Course 05: Environmental Health 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 Botany, Hydroponics and Agricultural Science courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Acquire an in-depth understanding of botany, exploring the fascinating world of plants, their structure, and physiological processes. Master the art of hydroponics gardening, learning how to cultivate plants without soil, optimising growth, and maximising yields. Delve into the realm of agricultural science, discovering the principles behind sustainable farming practices and the latest advancements in the field. Explore the intricate relationships within ecosystems through the study of ecology, gaining insights into the delicate balance of nature. Develop a solid foundation in environmental law, acquiring knowledge about current legislation and regulations governing environmental protection. Uncover the wonders of animal science and zoology, unravelling the mysteries of animal behaviour, anatomy, and classification. Gain an understanding of environmental health, exploring the impact of various factors on human well-being and the measures to mitigate risks. Embark on a captivating journey through the world of botany, hydroponics, and agricultural science. This comprehensive course bundle provides you with a deep understanding of plants, their growth processes, and the science behind sustainable farming practices. Discover the wonders of hydroponics gardening as you learn how to cultivate plants without soil, harnessing cutting-edge techniques to maximise yields. Delve into the realm of agricultural science, exploring the latest advancements in the field and gaining insights into sustainable farming methods. Furthermore, you will explore the intricate relationships within ecosystems through the study of ecology, examine the impact of environmental factors on human health, and develop a strong foundation in animal science and zoology. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring botanists seeking to expand their knowledge and understanding of plant life. Garden enthusiasts interested in exploring the world of hydroponics gardening and maximising their plant cultivation skills. Individuals involved in or aspiring to work in the agricultural sector, aiming to gain a comprehensive understanding of sustainable farming practices. Environmental enthusiasts and professionals seeking to enhance their knowledge in ecology, environmental law, and environmental health. Career path Agricultural Scientist: £26,000 - £48,000 per year Botanist: £23,000 - £40,000 per year Environmental Consultant: £25,000 - £45,000 per year Ecologist: £21,000 - £38,000 per year Zoologist: £20,000 - £40,000 per year Animal Health Technician: £18,000 - £30,000 per year Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

10 QLS Endorsed Courses for Pentest Programmer | 10 Endorsed Certificates Included | Life Time Access

Exploring Cell Biology is a fundamental course that delves into the intricate workings of Biology at the cellular level, encompassing topics from cell membrane structure to genetic material and cellular energy production. In today's modern world, understanding Biology is crucial across various sectors, from healthcare to environmental sciences, biotechnology, and beyond. This knowledge equips you with essential skills applicable in daily life and professional careers, aiding in informed decisions about health, nutrition, and environmental sustainability. In the UK job market, proficiency in Cell Biology opens doors to diverse opportunities, with roles in research, pharmaceuticals, and healthcare sectors. Salaries can range significantly, reflecting the high demand for skilled professionals. The field of Biology continues to expand, with increasing demand projected in sectors like biomedicine and biotechnology, offering stable career prospects. Embracing Cell Biology not only enriches your understanding of life sciences but also prepares you for a dynamic career contributing to advancements in science and society. Key Features: CPD Certified Exploring Cell Biology Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to Cell Biology Module 02: Cell Membrane and Transport Module 03: Cell Nucleus and Genetic Material Module 04: Cellular Energy Production Module 05: Cell Cycle and Cell Division Module 06: Cell Communication and Signalling Module 07: Cell Diversity and Specialisation Module 08: Advanced Topics in Cell Biology Learning Outcomes: Grasp the fundamental principles shaping the cellular landscape's intricate dynamics. Comprehend the vital role of cell membranes and transport mechanisms. Uncover the mysteries within the cell nucleus and its genetic material. Illuminate the complex processes driving cellular energy production. Navigate the orchestrated symphony of the cell cycle and division. Decode the intricate language of cell communication and signalling pathways. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Exploring Cell Biology course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Exploring Cell Biology. Moreover, this course is ideal for: Biology enthusiasts seeking a profound understanding of cellular life. Students aiming to deepen their knowledge of genetic material and cell functions. Science aficionados intrigued by the mechanisms powering cellular energy production. Individuals interested in unraveling the complexities of cell communication and signalling. Curious minds eager to explore the diversity and specialization within the cellular world. Requirements There are no requirements needed to enrol into this Exploring Cell Biology course. We welcome individuals from all backgrounds and levels of experience to enrol into this Exploring Cell Biology course. Career path After finishing this Exploring Cell Biology course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Cell Biology are: Biomedical Scientist - £24K to 48K/year Research Scientist (Life Sciences) - £25K to 50K/year Pharmaceutical Sales Representative - £22K to 45K/yr Laboratory Technician - £18K to 30K/yr Secondary School Science Teacher - £25K to 45K/yr Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

"The harmful emissions of CO2 are warming the planet because of the Greenhouse effect..". So, Just like everyone, you've heard these things before, numerous times, Right? Ever wondered how on earth the Carbon emissions result in this catastrophe? Yes! You're in the right place to quench your thirst for Chemistry and Chemical Engineering knowledge, upgrade your career to the next level, and achieve your dream career in the chemical industry. As we live in the era of the third Industrial revolution, specialised skills and expertise in science and engineering are of utmost importance. Chemists and Chemical Engineers are at the forefront of it. So, enrol now and sharpen your skills as a chemical engineer. Along with this Chemical Engineering course, you will get 11 premium courses, an originalHardcopy, 11 PDF Certificates (Main Course + Additional Courses) Student ID card as gifts. This Chemical Engineering Bundle Consists of the following Premium courses: Courses are included in this Chemical Engineering Bundle? Course 01: Basic Chemistry Online Course Course 02: Organic Chemistry Course 03: Organic Chemistry Demystified Course 04: General Inorganic Chemistry Course 05: Petroleum Refining Demystified Course 06: Diploma in Water Chemistry Course 07: Diploma in Water Treatment Course 08: Carbon Literacy Knowledge | Course Course 09: Understand Piping & Instrumentation Diagrams P&IDs Course 10: Gas Safety Course 11: Electrical and Fire Safety Training - Level 2 Learning Outcomes Upon successful completion of the Chemical Engineering course, you will be able to, Gain a basic knowledge of organic and inorganic chemistry. Learn about the petroleum refining process. Understand Water Chemistry and Water Treatment. Improve your Carbon Literacy Knowledge. Develop an in-depth understanding of Piping & Instrumentation Diagrams. Increase your workplace safety awareness. Enrol now in Chemical Engineering to advance your career, and use the premium study materials from Apex Learning. The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Chemical Engineeringexpertise and essential knowledge, which will assist you in reaching your goal. Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Chemical Engineering bundle. Requirements This Chemical Engineering course has been designed to be fully compatible with tablets and smartphones. Career path This Chemical Engineering course is designed to provide value for the following career paths Chemical Project Engineer Chemical Process Engineer Polymer Chemist Engineer Chemist Research Chemist Forensic Scientist Chemical Engineer Certificates Certificate of completion Digital certificate - Included

Discover the thrilling world of artificial intelligence with the 'Machine Learning Course with Python'. Immerse yourself in a voyage from foundational concepts, unveiling the mysteries behind algorithms, to diving deep into the cores of preprocessing, regression, and classification. Crafted meticulously, this course introduces Python as the catalyst, opening doors to data-driven decision-making and predictive analysis, empowering your journey in the ever-evolving field of machine learning. Learning Outcomes Grasp the foundational knowledge of various machine learning algorithms. Attain proficiency in preprocessing data for optimal outcomes. Master the nuances of regression analysis using Python. Delve into the intricacies of classification techniques. Enhance problem-solving abilities with practical Python-driven machine learning applications. Why choose this Machine Learning Course with Python 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 Machine Learning Course with Python 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 Machine Learning Course with Python course for? Aspiring data scientists eager to harness the power of machine learning. Python enthusiasts aiming to delve into its applications in AI. Professionals in the tech industry seeking a transition into data roles. Academics and researchers wanting to employ machine learning in their work. Business analysts aiming to leverage predictive analytics for better insights. Career path Data Scientist: £40,000 - £70,000 Machine Learning Engineer: £50,000 - £80,000 AI Researcher: £45,000 - £75,000 Data Analyst: £30,000 - £50,000 Python Developer: £35,000 - £65,000 Business Intelligence Developer: £40,000 - £60,000 Prerequisites This Machine Learning Course with Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Course with Python 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: Introduction to Machine Learning Algorithms Introduction to types of ML algorithm 00:02:00 Module 02: Preprocessing Importing a dataset in python 00:02:00 Resolving Missing Values 00:06:00 Managing Category Variables 00:04:00 Training and Testing Datasets 00:07:00 Normalizing Variables 00:02:00 Normalizing Variables - Python Code 00:03:00 Summary 00:01:00 Module 03: Regression Simple Linear Regression - How it works? 00:04:00 Simple Linear Regreesion - Python Implementation 00:07:00 Multiple Linear Regression - How it works? 00:01:00 Multiple Linear Regression - Python Implementation 00:09:00 Decision Trees - How it works? 00:05:00 Random Forest - How it works? 00:03:00 Decision Trees and Random Forest - Python Implementation 00:04:00 Module 04: Classification kNN - How it works? 00:02:00 kNN - Python Implementation 00:10:00 Decision Tree Classifier and Random Forest Classifier in Python 00:10:00 SVM - How it works? 00:04:00 SVM - Python Implementation 00:06:00 Assignment Assignment - Machine Learning Course with Python 00:00:00

Level 4, 5 & 7 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step