1350 Scientist courses

Biotechnology is a broader concept that includes several fields. This course will take you to the historical aspect and how it contributes to the healthcare industry. It also shares knowledge of commercial biotechnology. Start learning Biotechnology for Health: Industries & Business that will give you enough knowledge and skills to build your dream career. About this course This Biotechnology for Health: Industries & Business helps to grow your skills faster through the power of relevant content and world-class tutors. In this industry-leading bite-sized course, you will learn up-to-date knowledge in the relevant field within a few hours and get certified immediately. The modules of this course are very easy to understand and all of the topics are split into different sections. You will easily grasp and use the knowledge gained from this course in your career and go one step ahead of your competitors. The course is designed to improve your employability and provide you with the tools you need to succeed. Enrol today and start learning your essential skills. 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 Get 24/7 help or advice from our email and live chat teams Get full tutor support on weekdays (Monday to Friday) Course Design The Biotechnology for Health: Industries & Business 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 materials Who Is This Course For:​ This Biotechnology for Health: Industries & Business is ideal for those who want to be skilled in this field or who wish to learn a new skill to build their dream career. If you want to gain extensive knowledge, potential experience, and be an expert in the related field then this is a great course for you to grow your career. Requirements This course is for anyone who would like to learn Biotechnology for Health: Industries & Business related skills to aid his/her career path. No formal entry prerequisites are required Certification 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. Course Content Module 1: Biotechnology in Historical Perspective Module 2: Biotechnology in the Healthcare Industry Module 3: Biotechnology for Industry Module 4: Commercial Biotechnology Course Content Biotechnology: Health and Business Module 1: Biotechnology in Historical Perspective 00:21:00 Module 2: Biotechnology in the Healthcare Industry 00:07:00 Module 3: Biotechnology for Industry 00:09:00 Module 4: Commercial Biotechnology 00:08:00 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.

This course has been dedicated to introducing biotechnology and its several other subfields. It includes biotechnology modules, biotechnology, molecular biology and genetic engineering. Start learning Biotechnology Fundamentals that will give you enough knowledge and skills to build your dream career. About this course This Biotechnology Fundamentals helps to grow your skills faster through the power of relevant content and world-class tutors. In this industry-leading bite-sized course, you will learn up-to-date knowledge in the relevant field within a few hours and get certified immediately. The modules of this course are very easy to understand and all of the topics are split into different sections. You will easily grasp and use the knowledge gained from this course in your career and go one step ahead of your competitors. The course is designed to improve your employability and provide you with the tools you need to succeed. Enrol today and start learning your essential skills. 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 Get 24/7 help or advice from our email and live chat teams Get full tutor support on weekdays (Monday to Friday) Course Design The Biotechnology Fundamentals 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 materials Who Is This Course For:​ This Biotechnology Fundamentals is ideal for those who want to be skilled in this field or who wish to learn a new skill to build their dream career. If you want to gain extensive knowledge, potential experience, and be an expert in the related field then this is a great course for you to grow your career. Requirements This course is for anyone who would like to learn Biotechnology Fundamentals related skills to aid his/her career path. No formal entry prerequisites are required Certification 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. Course Content Module 1: An Overview of Biotechnology Module 2: An Overview of Molecular Biology Module 3: Biotechnology and Molecular Biology Module 4: An Overview of Genetic Engineering Course Content Biotechnology Fundamentals Module 1: An Overview of Biotechnology 00:14:00 Module 2: An Overview of Molecular Biology 00:17:00 Module 3: Biotechnology and Molecular Biology 00:07:00 Module 4: An Overview of Genetic Engineering 00:09:00 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.

Register on the Statistical Analysis today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. 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 proof of your course completion. The Statistical Analysis 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! What You Get With The Statistical Analysis Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) 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 materials Certification 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. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Statistical Analysis, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Module 01: The Realm of Statistics The Realm Of Statistics 00:28:00 Module 02: Basic Statistical Terms Basic Statistical Terms 00:43:00 Module 03: The Center of the Data The Center of the Data 00:07:00 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 00:14:00 Z-Table 00:04:00 Module 06: Introduction to Probability Introduction to Probability 00:37:00 Module 07: Estimates and Intervals Estimates and Intervals 00:36:00 Module 08: Hypothesis Testing Hypothesis Testing 00:33:00 Module 09: Regression Analysis Regression Analysis 00:11:00 Module 10: Algorithms, Analytics and Predictions Algorithms, Analytics and Prediction 00:49:00 Module 11: Learning From Experience: The Bayesian Way Learning From Experience: The Bayesian Way 00:33:00 Module 12: Doing Statistics: The Wrong Way Doing Statistics: The Wrong Way 00:39:00 Module 13: How We Can Do Statistics Better How We Can Do Statistics Better 00:43:00 Assignment Assignment - Statistical Analysis 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.

Register on the R Programming for Data Science today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. 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 R Programming for Data Science 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! What You Get With The R Programming for Data Science Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) 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 materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the R Programming for Data Science, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content 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? 00:01:00 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

Take your Python coding skills to the next level with our Intermediate Python Coding Course. Dive deeper into the language's capabilities, mastering advanced concepts and techniques to tackle complex programming challenges. Whether you're a beginner looking to expand your knowledge or an experienced coder seeking to enhance your proficiency, this course offers comprehensive instruction and hands-on practice to help you advance your Python skills. Enroll now and level up your coding abilities with confidence.

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After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*30 = £390) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring IT professionals. Business analysts. Data scientists. System administrators. Network security specialists. Database managers. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. IT Support Specialist: $35,000 - $60,000 Cyber Security Analyst: $60,000 - $100,000 Network Engineer: $50,000 - $90,000 Data Analyst: $45,000 - $85,000 Software Developer: $50,000 - $120,000 Database Administrator: $60,000 - $110,000 Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited e-Certificate - Free Enrolment Letter - Free Student ID Card - Free CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Overview Statistical Concepts and Application with R Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Statistical Concepts and Application with R Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Introduction to the course Introduction 00:03:00 Single Linear Regression Install R, RStudio and Basic Functionality 00:08:00 Basics of Linear Regression 00:03:00 Basics of Linear Regression Ctnd 00:03:00 Linear Regression Analysis 00:09:00 Linear Relationships 00:09:00 Line of Best Fit, SSE and MSE 00:05:00 Linear Regression Analysis Ctnd 00:02:00 Regression Results and Interpretation 00:10:00 Predicting Future Profits 00:13:00 Statistical Validity Tests 00:09:00 Statistical Validity Discussion 00:07:00 Single Linear Regression 00:06:00 Multiple Linear Regression Single Linear Regression 00:06:00 Importing the data 00:04:00 Correlation Matrix and MLR 00:08:00 MLR Results and ANOVA 00:07:00 The Best Model? 00:05:00 Interaction Terms and Validity Testing 00:18:00 ANOVA and Predictions 00:18:00 Non-linear Regression Non-linear Regression (and Recap) 00:07:00 Logistic Regression Overview 00:22:00 Logistic Regression: Odds, Logs and Poisson 00:13:00 Logistic Regression: Fitting the Models in R 00:24:00 Optimization Theory and Differential Calculus Differential Calculus - Finding the Maximum and the Minimum 00:15:00 Differential Calculus: One Unknown Input 00:08:00 Analysis in R: One Unknown Input Differential Calculus 00:29:00 Differential Calculus - Two Unknown Inputs 00:07:00 Analysis in R: Two Unknown Inputs Differential Calculus 00:44:00 Downloadable Resources Resource - Statistical Concepts and Application with R 00:00:00

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