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Dive into the realm of effective management with our course, 'Essentials of Becoming a Manager and Managing Teams'. Navigate the challenges of stepping into a managerial role in 'New Manager Mastery'. Discover the art of selecting the perfect candidate for your team in 'A Masterclass in Hiring For Your Teams' and foster an environment that promotes continuous growth with 'Creating a Culture of Learning in Your Organisation'. Equip yourself with top-tier interview techniques, manage stress, lead with conviction, conduct impactful meetings, and delve into the intricacies of advanced team management. Learning Outcomes Understand the transition intricacies and best practices of becoming a new manager. Master the strategies to effectively hire and onboard team members. Establish and nurture a growth-oriented learning culture within the organisation. Acquire techniques to proficiently manage stress, ensuring personal and team well-being. Lead meetings effectively and gain insights into advanced aspects of team leadership. Why buy this Essentials of Becoming a Manager and Managing Teams course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Essentials of Becoming a Manager and Managing Teams there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Essentials of Becoming a Manager and Managing Teams course for? Aspiring managers looking to transition into leadership roles seamlessly. Team leaders seeking to refine their hiring and team-building strategies. Organisational heads aiming to instil a robust learning culture. Professionals wanting to enhance their interview conduction skills. Individuals eager to develop leadership attributes and manage workplace stress. Prerequisites This Essentials of Becoming a Manager and Managing Teams does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Essentials of Becoming a Manager and Managing Teams 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. Career path Manager: £30,000 - £45,000 Team Leader: £25,000 - £35,000 HR Specialist: £28,000 - £40,000 Training and Development Officer: £27,000 - £37,000 Stress Management Consultant: £35,000 - £50,000 Meetings Coordinator: £22,000 - £30,000 Course Curriculum Section 01: New Manager Mastery What to Expect & About Me 00:02:00 Well Done! 00:02:00 It's a Different Job 00:03:00 You're Scared? Good! 00:02:00 The Manager Mindset 00:03:00 Set Expectations 00:04:00 Get Learning Leadership! 00:03:00 What is Culture? 00:02:00 Culture of Fairness 00:08:00 People Are Crazy 00:02:00 Mastering One To One Meetings 00:05:00 Manager to Coach 00:07:00 Me? A Psychologist? 00:02:00 Emotional Intelligence 00:05:00 Mastering Performance Evaluations 00:07:00 Welcoming New Starters 00:07:00 How to Hire a Diverse Workforce 00:06:00 Get the Basics Right Every Time 00:02:00 Conclusion 00:02:00 Section 02: A Masterclass In Hiring For Your Teams Introduction 00:02:00 The Importance of the Interview Process 00:03:00 What's Wrong With The Interview Process 00:07:00 Human Vs. Algorithm 1 00:02:00 Unconscious Interviewer Biases 00:03:00 Be Data Driven 00:03:00 Let's See You In Action 00:02:00 Keep it Relevant 00:02:00 Seriously Avoid These Topics 00:03:00 Benefits of a Diverse Workforce 00:03:00 How to Hire a Diverse Workforce 00:06:00 Hunger and Desire Over Skills 00:03:00 Culture Addition, Not Culture Fit 00:03:00 Compliment, Backup or Add To The Team 00:05:00 Hiring The Right Rank 00:04:00 What Are Your Location Restrictions 00:01:00 The Risk Of Delivering Less 00:02:00 The Risk Of Burnout 00:02:00 The Risk Of Losing The Headcount 00:02:00 Confirm The Job Is What They Think It Is 00:02:00 Sell Yourself, The Team & The Company 00:03:00 Don't Be A Jerk 00:02:00 It's Not About Making You Look Good 00:02:00 Managing Recruitment Agencies 00:04:00 Communications With The Candidate 00:03:00 Be Ready 00:03:00 Assign A Buddy 00:02:00 You Got It Wrong! 00:02:00 Conclusion 00:03:00 Section 03: Creating a Culture Of Learning In Your Organization What To Expect From The Course 00:02:00 Why Even Bother? 00:07:00 What Learning Used To Be Like 00:02:00 Individual Learner 00:01:00 Everyone Says They Are A Self-Learner 00:10:00 Online Communities 00:02:00 Embedding Learning Into Daily Life 00:03:00 Teach It To Learn It 00:02:00 Learning New Vs Becoming Expert 00:01:00 Listen Faster 00:01:00 Tom's Approach 00:02:00 The Paid Training Course Is History 00:03:00 Develop The Right Mental Habits 00:06:00 Make It Easier On Yourself 00:02:00 Manager Responsibilities 00:01:00 Are You Really A Centre Of Excellence? 00:02:00 Learning As Part Of Performance Evaluation 00:02:00 Don't Worry If People Leave 00:01:00 The Benefits Of A Skilled User Base 00:02:00 Push It, Push It, Push It 00:01:00 The Golden Hour 00:09:00 Internal Mobility 00:03:00 Team Secondment 00:02:00 Make People Good Enough To Quit 00:03:00 Lunch & Learns 00:02:00 Personalised Learning Plans 00:02:00 Use It Or Lose It 00:02:00 Certifiably Great 00:02:00 Get A Learning Buddy 00:02:00 Senior Leaders Responsibilities 00:01:00 Walk It From The Top 00:02:00 Learning Wherever, Whenever 00:02:00 Show Us The Data 00:02:00 Create Learning Champions 00:02:00 Gamification 00:02:00 Sell, Sell, Sell 00:03:00 Don't Block The Useful Sites 00:03:00 Create A Varied Library Of Resources 00:02:00 Encourage Conferences And Seminars 00:04:00 The Feedback Loop 00:02:00 Learning Is Expensive 00:03:00 Learning Takes Time 00:02:00 Concluding Remarks 00:04:00 Section 04: Job Interview Practicals: Complete Interview Skills Training Interview Masterclass - Maximize Your Chances of Success 00:03:00 Get Yourself Game Ready! 00:08:00 Final Prep Tips! 1-2 Days Before Interview 00:03:00 It's Interview Day! How to ACE the interview! 00:07:00 Positive Personality Traits Interviewers Are Desperate For 00:07:00 How to Engage & Impress in Conversation 00:05:00 The Art of Asking Questions 00:08:00 How to Answer Questions Using Skill & Psychological Tricks 00:10:00 After Interview - Still More You Can Do 00:05:00 Staying Professional 00:02:00 That Wasn't What You Expected!! 00:03:00 Waiting For The Answer 00:02:00 Let's Review The Tips - So Much To Consider 00:04:00 Section 05: Beating Burnout - Practical & Complete Stress Management Introduction to Overcoming Burnout 00:03:00 The Problem of Burnout in Modern Workplaces 00:06:00 Symptoms of Burnout - Do You Have It? 00:03:00 How Individuals Can Fight Back Against Burnout 00:12:00 How Leaders Can Create A Burnout Free Culture 00:10:00 Let's Review The Advice - What's Important? 00:03:00 Section 06: Practical Leadership: Complete Guide To Great Leadership Characteristics of Great Leaders - Introduction 00:02:00 Honesty, Coaching & The Mission 00:08:00 Empathy, Togetherness & Feedback 00:06:00 Change, Authenticity & Enablement 00:05:00 Perspective, Empowerment & Emotional Intelligence 00:05:00 My Favourite Tips & Bonus! 00:05:00 Section 07: Mastering Meetings - A Complete Practical Guide To Meetings What to Expect 00:04:00 What & Why? 00:03:00 The Cost of Meetings 00:02:00 Red Amber & Green Meetings 00:06:00 Do You Need A Meeting? 00:04:00 Timing Considerations 00:07:00 Contents of the Invite 00:03:00 Scheduling Etiquette 00:07:00 Considerations for Externals 00:05:00 The Meeting as an Opportunity 00:02:00 Chairing Meetings 00:01:00 Your Agenda 00:08:00 Kicking Off 00:06:00 During The Meeting 00:08:00 After Meeting Minutes 00:06:00 Considerations 00:06:00 Concluding Remarks 00:02:00 Section 08: Advanced People Management - What They Don't Tell You About Team Leading! What To Expect & About Me 00:02:00 Management Vs. Coaching 00:07:00 What Is Culture? 00:02:00 Culture of Fairness 00:08:00 How To Be A Great Listener 00:05:00 Mastering Performance Evaluations 00:07:00 Welcoming New Starters 00:07:00 Stupid Things NOT To Say To Your Team 00:07:00 Your Team Made A Mistake 00:06:00 Mastering Crucial Conversations 00:05:00 When to Fire Someone 00:06:00

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

Dive into the enthralling world of numbers and equations with 'High School Math (Pure Mathematics 1),' a course designed to unravel the mysteries of mathematics. Your journey begins with an Introduction that lays the foundation, not just in terms of concepts but igniting a passion for the beauty of math. As you progress, Functions become more than just equations; they turn into a language that describes the universe. Imagine the elegance of Quadratic Equations unfolding before your eyes, revealing patterns and solutions that were once hidden. Embark on an adventure through Co-ordinate Geometry, where every point and line tells a story of space and dimensions. Sequence and Series will no longer be just about numbers; they will be about the rhythm and flow of mathematical logic. The course takes a deeper dive with the Binomial Theorem, Differentiation, Tangents and Normals, each module building on the last, turning complexity into simplicity. Stationary Points & Curve Sketching, and the Second Derivative Test open new vistas in understanding the nature of graphs. As you master Simultaneous Linear Equations, you're not just solving problems; you're unlocking a new perspective on mathematical relationships. The Essential Revision at the end is your bridge to excellence, consolidating your knowledge and skills. Learning Outcomes Develop a foundational understanding of key mathematical concepts and functions. Master the intricacies of quadratic equations and co-ordinate geometry. Explore and apply the principles of sequences, series, and the binomial theorem. Gain proficiency in differentiation and its practical applications in tangents and normals. Understand and implement techniques in curve sketching, stationary points, and optimisation. Why choose this High School Math (Pure Mathematics 1) 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 High School Math (Pure Mathematics 1) course for? High school students seeking to excel in mathematics. Individuals preparing for college-level math courses. Math enthusiasts looking to deepen their understanding of pure mathematics. Students requiring a comprehensive revision of key mathematical concepts. Anyone aspiring to pursue a career involving advanced mathematics. Career path Mathematician: £30,000 - £60,000 Data Analyst: £25,000 - £50,000 Actuarial Analyst: £28,000 - £55,000 Research Scientist (Mathematics): £32,000 - £60,000 Engineering Consultant: £27,000 - £55,000 Academic Tutor (Mathematics): £24,000 - £40,000 Prerequisites This High School Math (Pure Mathematics 1) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This High School Math (Pure Mathematics 1) 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 Introduction Introduction 00:03:00 Functions What is Function? 00:07:00 Vertical Line Test 00:04:00 Value of a Function Graphically 00:08:00 Domain Range of a function Algebraically 00:13:00 Domain Range of a function Graphically 00:06:00 Even & Odd Functions 00:07:00 One to one Function 00:05:00 Composite Functions 00:09:00 How to draw Rational Functions- 1 00:04:00 How to draw Rational Functions- 2 00:10:00 Inverse of a function Algebraically 00:05:00 Inverse of a function Graphically 00:09:00 Practice Problems 00:15:00 Practice Problems 00:11:00 Resources Downloads 00:40:00 Quadratic Equations Introduction to Quadratic Equations 00:04:00 Solving Quadratic Equations by Factorization method 00:10:00 Writing in completed square form 00:08:00 Solving by completed square method 00:08:00 Sketching of Quadratic Graphs 00:11:00 Quadratic graphs using Transformations 00:06:00 Quadratic inequalities 00:11:00 Deriving Quadratic formula 00:05:00 Solving problems using Quadratic Formula 00:06:00 Equations reducible to Quadratic 00:07:00 Nature of Roots of Quadratic Equations 00:04:00 Nature of roots continues 00:12:00 Quadratic Equations (Resources) 00:50:00 Co-ordinate Geometry Distance formula 00:15:00 Mid point formula 00:05:00 Gradient of a line 00:10:00 Graphing using gradient and y intercept 00:02:00 Some standard lines 00:04:00 Slope intercept form y = m x +c 00:05:00 Point slope form and two point form 00:10:00 Intersection of line and parabola 00:09:00 Practice Problems from past papers (part 3) 00:12:00 Sequence and series Sequence and series ( video) 00:08:00 Arithmetic Sequence 00:10:00 General term of an A.P. 00:07:00 Finding given term is which term? 00:05:00 Writing sequence when two terms are known 00:08:00 Condition for three terms to be in A.P. 00:05:00 Sum to n terms of A.P. 00:06:00 Practice Problems 1 (A.P.) 00:08:00 Practice problems 3 (A.P.) 00:07:00 Practice problems 4 (A.P.) 00:10:00 Geometric Progressions 00:11:00 Sum to n terms in G.P. 00:14:00 Sum to infinite Terms in G.P. 00:13:00 Practice Problems 1 (GP) 00:13:00 Practice Problems 2 (GP) 00:06:00 Practice Problems based on AP and GP both 00:15:00 Sequence and series Text 1 00:40:00 Sequence and series Text 2 00:55:00 Binomial Theorem What is Factorial? 00:06:00 n-choose -r problems 00:06:00 Properties of n - choose -r 00:05:00 Expanding using Binomial Theorem 00:11:00 Finding the indicated term in the Binomial expansion 00:10:00 Finding the indicated term from end 00:09:00 Finding the coefficient for given exponent (index) of the variable 00:08:00 Finding the term independent of variable 00:05:00 Expanding in increasing and decreasing powers of x 00:09:00 Practice problems 1 00:12:00 Practice Problems 2 00:09:00 Practice problems 3 00:10:00 Past papers problems 1 00:15:00 Past Paper problems 2 00:13:00 Past Paper problems 3 00:09:00 Resources in this section 00:50:00 Differentiation What is Derivative? 00:07:00 Derivation of formula for Derivative 00:06:00 Differentiation by definition or First Principle 00:06:00 Power Rule 00:20:00 Practice Problems on Power Rule 1 00:07:00 Practice Problems on Power Rule 2 00:07:00 Practice Problems on Power Rule 3 00:05:00 Practice Problems on Power Rule 4 00:11:00 Practice Problems on Power Rule 5 00:07:00 Tangents and Normals Tangents and Normals- Basics 00:12:00 Practice- Tangents and Normals Part 1 00:16:00 Practice- Tangents and Normals Part 2 00:13:00 Practice- Tangents and Normals Part 3 00:11:00 Practice- Tangents and Normals Part 4 00:14:00 Stationary Points & Curve Sketching Stationary Points - Basics 00:13:00 Practice- Increasing Decreasing & Maxima Minima part 1 00:11:00 Practice- Increasing Decreasing & Maxima Minima part 2 00:12:00 Practice- Increasing Decreasing & Maxima Minima part 3 00:10:00 Second Derivative Test (Maximum & Minimum Points) Concavity-Basics 00:02:00 Concavity & Second Derivative 00:08:00 Second Derivative Test 00:09:00 Practice Problems on second derivative 00:04:00 Practice Problem of Maxima Minima using second derivative test Part 1 00:17:00 Practice Problem of Maxima Minima using second derivative test Part 2 00:10:00 Practice Problem of Maxima Minima using second derivative test Part 3 00:07:00 Practice Problem of Maxima Minima using second derivative test Part 4 00:07:00 Applications of Maxima and Minima Part 1 00:09:00 Applications of Maxima and Minima Part 2 00:07:00 Applications of Maxima and Minima Part 3 00:10:00 Applications of Maxima and Minima Part 4 00:09:00 Applications of Maxima and Minima Part 5 00:10:00 Applications of Maxima and Minima Part 6 00:08:00 Past Paper Problems on applications of maxima and minima Part 1 00:09:00 Past Paper Problems on applications of maxima and minima Part 2 00:09:00 Past Paper Problems on applications of maxima and minima Part 3 00:08:00 Past Paper Problems on applications of maxima and minima Part 4 00:07:00 Chain Rule 00:12:00 Rate of change part 1 00:05:00 Rate of change part 2 00:10:00 Rate of change part 3 00:07:00 Past Paper Problems using chain rule -1 00:06:00 Past Paper Problems using chain rule - 2 00:07:00 Past Paper Problems using chain rule 3 00:07:00 Past Paper Problems using chain rule -4 00:04:00 Simultaneous Linear equations Graphical Method of solving pair of linear equations 00:10:00 Video lecture on Graphical method 00:05:00 Method of elimination by substitution 00:10:00 Video lecture on substitution method 00:06:00 Method of elimination by equating the coefficients 00:10:00 Video lecture on equating coefficients method 00:09:00 Practice Problems on Linear equation 00:20:00 Essential Revision How to take up this course? 00:10:00 Background of Algebra 00:10:00 Language of Alg ebra 00:10:00 Finding Values of algebraic expressions 00:14:00 Fractional Indices 00:10:00 Higher Indices 00:07:00 Rules of Brackets 00:04:00 Simplification by removing brackets (BODMAS) 00:11:00 Simplifications of Algebraic Fractions 00:07:00 Solving complex Linear Equations in one variable 00:10:00 Factorization by taking out common factor 00:10:00 Factorization by grouping the terms 00:09:00 Factorize using identity a ² - b ² 00:07:00 Factorization by middle term split 00:12:00

Nutritional Therapy: Nutritional Therapy Course Online This Nutritional Therapy: Nutritional Therapy Course will help you become a confident nutritional therapist and build more advanced skills. The Nutritional Therapy: Nutritional Therapy Course discusses the basics of human nutrition, micronutrients and macronutrients, digestion and detoxification, dietary balance and its importance to human health, principles of healthy eating, weight loss and weight management concepts and much more. Enrol on this Nutritional Therapy: Nutritional Therapy Course today and gain the appropriate skills and expertise needed to start your career as a successful nutritionist. Main Course: Nutritional Therapy Course Free courses included with Nutritional Therapy: Nutritional Therapy Course: Along with Nutritional Therapy Course you will get free Diet and Nutrition (Diploma Level 5) Along with Nutritional Therapy Course you will get free Level 2 Award in Nutrition and Health Special Offers of this Nutritional Therapy: Nutritional Therapy Course: This Nutritional Therapy: Nutritional Therapy Course includes a FREE PDF Certificate. Lifetime access to this Nutritional Therapy: Nutritional Therapy Course Instant access to this Nutritional Therapy: Nutritional Therapy Course 24/7 Support Available to this Nutritional Therapy: Nutritional Therapy Course Nutritional Therapy: Nutritional Therapy Course Online Our Nutritional Therapy: Nutritional Therapy Course offers instruction and practice in the field of nutrition, emphasising the importance of diet and lifestyle choices in maintaining good health and preventing or treating a range of medical disorders. You will learn the basics of nutrition and how to treat a variety of illnesses throughout this Nutritional Therapy: Nutritional Therapy Course. Learning about how to assess a person's nutritional status, including techniques for analysing dietary intake, lifestyle factors, and probable nutrient deficiencies, is provided through the Nutritional Therapy: Nutritional Therapy Course. This Nutritional Therapy: Nutritional Therapy Course will also cover the Dietary Guidelines. After finishing this Nutritional Therapy: Nutritional Therapy Course, you will be able to modify nutritional advice to meet the specific needs of each client. Who is this course for? Nutritional Therapy: Nutritional Therapy Course Online This Nutritional Therapy: Nutritional Therapy Course is suitable for anyone looking to transform a passion for diet and human health into rewarding career life. Requirements Nutritional Therapy: Nutritional Therapy Course Online To enrol in this Nutritional Therapy: Nutritional Therapy Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Nutritional Therapy: Nutritional Therapy Course. Be energetic and self-motivated to complete our Nutritional Therapy: Nutritional Therapy Course. Basic computer Skill is required to complete our Nutritional Therapy: Nutritional Therapy Course. If you want to enrol in our Nutritional Therapy: Nutritional Therapy Course, you must be at least 15 years old. Career path Nutritional Therapy: Nutritional Therapy Course Online After completing this Nutritional Therapy: Nutritional Therapy Course, candidates may choose to pursue an extensive range of careers, including: - Professional Nutritionist, Public Health Nutritionist, Clinical Nutritionist, Community Nutritionist, Therapeutic Nutritionist.

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