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Course Overview: Winston Churchill, whose powerful speeches during World War II rallied the British nation and inspired hope amidst the darkest times. His ability to choose words wisely and deliver them with conviction exemplified the transformative power of eloquence. So, let's unlock the power of your voice and embark on a transformative journey with our Eloquence Course: Discover Your Confident and Powerful Voice. Effective communication skills have become paramount for personal and professional success in today's fast-paced world. Through this comprehensive course, you will delve into the art of eloquence, learning how to captivate your audience, build relationships, and master the nuances of tone and body language. Developed by a team of experts with a deep understanding of the power of persuasive speech, this course offers a carefully crafted curriculum designed to transform your communication style. Key Features of the Course: CPD Certificate upon completion, enhancing your professional credentials 24/7 Learning Assistance from our dedicated support team, ensuring you receive guidance every step of the way Engaging and interesting learning materials, including videos, exercises, and quizzes, to keep you motivated and actively involved throughout the course Who is This Course For? This Eloquence Course: Discover Your Confident and Powerful Voice, is ideal for anyone looking to enhance their communication skills and gain confidence in expressing themselves effectively. What You Will Learn: In this Eloquence Course: Discover Your Confident and Powerful Voice, you will embark on a journey of self-discovery and develop essential skills through our meticulously designed modules. Let's take a closer look at what you will learn: Modules 1 and 2: Impress and Hook Your Audience Discover techniques to grab your audience's attention from the very beginning and leave a lasting impression. Modules 3 to 5: Choose Your Words Wisely Master the art of selecting the right words to convey your message effectively and persuasively. Modules 6 to 10: Build Relationships and Master Your Tone of Voice Learn how to forge meaningful connections with your audience and harness the power of tone in your delivery. Modules 11 and 12: Convince with Your Voice and Command with Your Body Develop the ability to persuade and influence others through the power of your voice and body language. Module 13: Answer Any Question Learn the art of confidently responding to questions, even in challenging situations. Why Enrol in This Course: Our Eloquence Course: Discover Your Confident and Powerful Voice, has received top reviews from previous learners, who have praised its effectiveness in transforming communication skills. We have meticulously updated the course to include the latest communication techniques and strategies, ensuring you receive the most relevant and up-to-date knowledge. Requirements: To fully engage in this Eloquence Course: Discover Your Confident and Powerful Voice, you only need a willingness to learn and a desire to enhance your communication skills. There are no specific prerequisites or prior experience required. Career Path: Upon completing this Eloquence Course: Discover Your Confident and Powerful Voice, you will be equipped with highly valuable skills to propel you towards various professions. Some of the career paths you can explore include: Public Speaker - Average UK Salary: £50,000 per year Sales Executive - Average UK Salary: £30,000 per year Marketing Manager - Average UK Salary: £45,000 per year Human Resources Manager - Average UK Salary: £40,000 per year Media Presenter - Average UK Salary: £35,000 per year Team Leader - Average UK Salary: £35,000 per year Customer Relationship Manager - Average UK Salary: £30,000 per year Certification: Upon completing the Eloquence Course: Discover Your Confident and Powerful Voice, you will receive a CPD (Continuing Professional Development) certificate, adding credibility to your newly acquired skills and enhancing your professional profile. Course Curriculum 1 sections • 13 lectures • 03:34:00 total length •Module 01: Introduction: 00:18:00 •Module 02: Impress Hook Your Audience: 00:26:00 •Module 03: Eloquence Choose Your Word Wisely Part 01: 00:18:00 •Module 04: Eloquence Choose Your Word Wisely Part 02: 00:20:00 •Module 05: Eloquence Choose Your Word Wisely Part 03: 00:14:00 •Module 06: Impress Build Relationships: 00:10:00 •Module 07: Eloquence Master Your Tone of Voice Part 01: 00:19:00 •Module 08: Eloquence Master Your Tone of Voice Part 02: 00:14:00 •Module 09: Eloquence Master Your Tone of Voice Part 03: 00:17:00 •Module 10: Eloquence Master Your Tone of Voice Part 04: 00:14:00 •Module 11: Impress Convince with Your Voice: 00:19:00 •Module 12: Impress Command with Your Body: 00:16:00 •Module 13: Impress Answer Any Question: 00:09:00

Course Overview: Step into the world of persuasive communication and unlock your sales and marketing potential with our Counselling Course - Sales and Marketing Skills Level 3. This comprehensive program is a game-changer for individuals looking to thrive in the competitive sales and marketing landscape. In today's business climate, where customer preferences and market dynamics constantly evolve, possessing advanced counselling skills is a differentiating factor that can propel your career to new heights. Research shows that professionals with effective counselling techniques achieve a remarkably 30% higher conversion rate than their peers. By honing your communication abilities, you will close more deals and establish meaningful connections with customers, fostering loyalty and repeat business. With our course, you will understand the psychology behind successful sales interactions and learn how to navigate objections, craft compelling pitches, and seal the deal with finesse. Join our Counselling Course - Sales and Marketing Skills Level 3, and position yourself as a top-performing sales professional in today's competitive market. Invest in your future success and embark on a learning journey that will revolutionise your sales and marketing career. Key Features of the Course: CPD Certification: Upon successfully completing the Counselling Course - Sales and Marketing Skills Level 3, you will receive a CPD certificate, internationally recognised as a mark of your professional development. 24/7 Learning Assistance: We understand the importance of continuous learning. That's why we offer 24/7 learning assistance, ensuring you have the support you need throughout your learning journey. Who is This Course For? This course is ideal for individuals who are already working or aspiring to work in sales and marketing roles. Whether you're a sales representative, account manager, marketing executive, or business development professional, this course will provide you with the skills and knowledge necessary to excel in your career. It is also suitable for entrepreneurs and business owners looking to enhance their sales and marketing expertise to grow their businesses. What You Will Learn: This course offers comprehensive training in sales and marketing, covering various modules to equip learners with essential skills. The first module establishes a strong foundation for successful approaches in sales and marketing. The second module focuses on effective communication and active listening, teaching learners the art of engaging with their audience. In module three, learners will learn how to prepare themselves before reaching out to potential customers. Module four explores creative openings that can capture the audience's attention in unique and captivating ways. The focus of module five is crafting compelling sales pitches that resonate with customers' needs. Module six equips learners with strategies to handle objections effectively, enabling them to address and overcome challenges during the sales process. Sealing the deal and securing long-term customer relationships is the objective of module seven. In module eight, learners will then explore post-sale strategies to nurture customer satisfaction and loyalty. Setting realistic and achievable sales targets is covered in module nine, providing learners with the tools to drive their success. Module ten emphasises the importance of data management and teaches learners how to leverage data to enhance their sales and marketing efforts. Why Enrol in This Course: By enrolling in the Counselling Course - Sales and Marketing Skills Level 3, you are choosing a top-reviewed course that has been recently updated to reflect the latest industry trends and best practices. With our comprehensive curriculum and expertly designed modules, you will develop the essential skills needed to excel in sales and marketing roles. Requirements: You only need a basic understanding of sales and marketing concepts to benefit fully from this course. A passion for learning and a desire to enhance your skills are the key prerequisites for success. Career Path: Upon completion of this course, you will be equipped for various exciting career paths in sales and marketing, including: Sales Representative - Average UK Salary: £25,000 per year Account Manager - Average UK Salary: £35,000 per year Marketing Executive - Average UK Salary: £28,000 per year Business Development Manager - Average UK Salary: £40,000 per year Sales Manager - Average UK Salary: £45,000 per year Digital Marketing Specialist - Average UK Salary: £32,000 per year Brand Manager - Average UK Salary: £38,000 per year Certification: You will receive a CPD certificate after completing the Counselling Course. The certificate demonstrates your commitment to professional development and increasing your credibility in the industry. Course Curriculum 1 sections • 12 lectures • 11:00:00 total length •Module One - Getting Started: 01:00:00 •Module Two - Understanding the Talk: 01:00:00 •Module Three - Getting Prepared to Make the Call: 01:00:00 •Module Four - Creative Openings: 01:00:00 •Module Five - Making Your Pitch: 01:00:00 •Module Six - Handling Objections: 01:00:00 •Module Seven - Sealing the Deal: 00:30:00 •Module Eight - Following Up: 01:00:00 •Module Nine - Setting Goals: 01:00:00 •Module Ten - Managing Your Data: 00:30:00 •Module Eleven - Using a Prospect Board: 01:00:00 •Module Twelve - Wrapping Up: 01:00:00

Course Overview: Imagine the power of interacting with databases, organising vast information, and extracting valuable insights - all at your fingertips. This might seem like a formidable task, but SQL, or Structured Query Language, brings this within reach. It is one of the most in-demand skills in the tech industry, with a projected 10% job growth rate over the next decade. Our course, The Complete SQL from Scratch: Bootcamp, provides a thorough understanding of SQL, irrespective of your prior familiarity with it. This comprehensive course walks you through the journey from the fundamentals of databases to the intricate functionalities of SQL. The curriculum includes detailed discussions on database creation, table manipulation, SQL statements, and utilisation of various operators. Moreover, it also covers essential operations like data backup and restoration, thus preparing learners for real-life database management scenarios. The course design ensures a smooth transition from one concept to another, enabling learners to solidify their understanding at each step. Enrol today and start learning SQL! Key Features of the Course: CPD certificate: Upon completion of the course, you'll receive a CPD certificate that you can use to demonstrate your skills to employers. 24/7 Learning Assistance: Our team of experts is available 24/7 to answer your questions and help you progress through the course. Interesting learning materials: The course is packed with engaging videos, interactive exercises, and quizzes to help you learn SQL in a fun and effective way. Who is This Course For? The Complete SQL from Scratch: Bootcamp course is suitable for anyone interested in diving into the world of databases or enhancing their skills further. Beginners with no prior knowledge and professionals seeking an in-depth understanding of SQL would equally benefit from the course. What You Will Learn: Through The Complete SQL from Scratch: Bootcamp , you will learn: An in-depth understanding of databases and their functions. Familiarity with PostgreSQL installation and various connections. Proficiency in manipulating data including insert, update, delete operations. A comprehensive grasp of complex SQL commands and queries. Skills to design and alter table structures using SQL scripts. Advanced knowledge about SQL statements, their structure, and usage. Competence in data backup and restoration in databases. Why Enrol in This Course: The Complete SQL from Scratch: Bootcamp course is reviewed as a top choice among learners, and is recently updated to match the trending industry needs. By enrolling, you will acquire a set of skills that are crucial in today's data-centric world, enhancing your employability and competitive edge. Requirements: No prior experience is required A computer with internet access Career Path: Database Administrator (average UK salary £47,000) Data Analyst (£40,000), Business Analyst (£43,000) SQL Developer (£45,000) Database Engineer (£48,000) Systems Analyst (£41,000) Data Architect (£62,000). Certification: After successfully completing the course, you will receive a CPD certificate, signifying your expertise in SQL. This course is your stepping stone to becoming a proficient database professional. Enrol and Lets get started! Course Curriculum 12 sections • 56 lectures • 06:39:00 total length •Introduction: 00:04:00 •Course Curriculum overview: 00:04:00 •Overview of Databases: 00:08:00 •PostgreSQL Installation: 00:13:00 •Connecting to PostgreSQL using psql: 00:04:00 •Connecting to PostgreSQL using PgAdmin: 00:07:00 •Basic of Database and Tables: 00:06:00 •Data Types: 00:07:00 •Primary Keys and Foreign Keys: 00:04:00 •Create Table in SQL Script: 00:17:00 •Insert: 00:05:00 •Update: 00:05:00 •Delete: 00:03:00 •Alter Table: 00:05:00 •Drop Table: 00:02:00 •Check Constraint: 00:12:00 •NOT NULL Constraint: 00:04:00 •UNIQUE Constraint: 00:06:00 •Overview of Challenges: 00:04:00 •SQL Statement Basic: 00:07:00 •SELECT Statement: 00:12:00 •SELECT DISTINCT: 00:10:00 •Column AS Statement: 00:07:00 •COUNT: 00:07:00 •SELECT WHERE Clause - One: 00:06:00 •SELECT WHERE Clause - Two: 00:11:00 •ORDER: 00:05:00 •LIMIT: 00:04:00 •BETWEEN keyword usage on real time: 00:08:00 •IN Operator: 00:06:00 •LIKE and ILIKE: 00:10:00 •Overview of GROUP BY: 00:03:00 •Aggregation Function: 00:12:00 •GROUP BY - One: 00:05:00 •GROUP BY - Two: 00:06:00 •HAVING on SQL Statement: 00:04:00 •Overview of JOINS: 00:07:00 •Introduction to JOINS: 00:06:00 •AS Statement table: 00:05:00 •INNER Joins: 00:14:00 •Full Outer Joins: 00:04:00 •Left Outer join: 00:03:00 •Right Outer Join: 00:05:00 •Union: 00:05:00 •Basic of Advanced SQL Commands: 00:04:00 •Timestamps: 00:17:00 •Extract from Timestamp: 00:05:00 •Mathematical Functions: 00:06:00 •String Functions: 00:16:00 •SubQuery: 00:08:00 •Overview of Databases and Tables: 00:02:00 •Creating a Database backup: 00:03:00 •Restoring a Database from backup: 00:04:00 •Overview Assessment Test: 00:02:00 •Mock Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00 •Final Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00

Imagine embarking on a journey through our "Building Corporate Self Confidence Course," where you will master the art of self-assurance in today's competitive world. In modern times, Self Confidence is not just a trait but a crucial skill that opens doors to success in both personal and professional spheres. By learning to exude confidence through effective communication, overcoming obstacles, and fostering respectful connections, you'll enhance your daily interactions and advance your career prospects significantly. In the UK job market, employers value candidates who demonstrate strong Self Confidence, often leading to better job opportunities and higher salaries. Industries where confidence is paramount are growing steadily, with a notable increase of 15% in demand for confident professionals over the last five years alone. Enroll now to gain a competitive edge, boost your earning potential, and navigate corporate landscapes with poise and self-assurance. This course isn't just about building confidence; it's about securing your future success in today's dynamic workplace environment. Key Features: CPD Certified Building Corporate Self Confidence Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum: Module 01: Understanding Confidence Module 02: Corporate Confidence Essentials Module 03: Confidence Evaluation Module 04: Overcoming Obstacles with Confidence Module 05: Cultivating Self-Assurance Module 06: Enhancing Physical Poise Module 07: Effective Workplace Communication Module 08: Exhibiting Confidence in Professional Settings Module 09: Fostering Respectful Connections Learning Outcomes: Identify components contributing to corporate self-assurance effectively in workplaces. Understand the significance of corporate self-confidence in professional environments. Assess personal confidence levels using appropriate methodologies and tools. Apply strategies to overcome obstacles confidently in corporate scenarios. Develop techniques to enhance self-esteem and confidence in professional settings. Demonstrate confident communication and assertiveness in corporate interactions proficiently. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Building Corporate Self Confidence course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Building Corporate Self Confidence. Moreover, this course is ideal for: Corporate professionals seeking confidence enhancement in workplace interactions. Managers aspiring to foster a culture of confidence within their teams. Graduates entering corporate environments aiming to build self-assurance. Entrepreneurs navigating corporate landscapes requiring confidence in negotiations. Individuals transitioning careers and needing to project corporate self-assurance. Requirements There are no requirements needed to enrol into this Building Corporate Self Confidence course. We welcome individuals from all backgrounds and levels of experience to enrol into this Building Corporate Self Confidence course. Career path After finishing this Building Corporate Self Confidence course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Building Corporate Self Confidence are: Business Development Manager - £40K to 70K/year. HR Consultant - £30K to 50K/year. Corporate Trainer - £25K to 45K/year. Marketing Executive - £25K to 40K/year. Project Coordinator - £25K to 35K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

Are you ready to take your professional journey to the next level? Look no further than our Interpersonal Skills Development course, designed to equip you with the essential tools needed to thrive in today's dynamic workplace environment. Key Features: CPD Certified Developed by Specialist Lifetime Access In this course, learners will develop essential interpersonal skills to excel in various aspects of life and work. They will start by understanding what soft skills are and why they matter. Communication skills will be honed to express ideas effectively and build strong relationships. Time management techniques will help learners become more efficient and productive. They'll discover the power of teamwork and learn how to collaborate effectively with others. Self-confidence will be nurtured, empowering learners to own their abilities and contribute confidently. Problem-solving strategies will be explored to tackle challenges efficiently. Networking skills will be developed to expand professional connections and opportunities. Learners will understand the importance of attitude and work ethic in achieving success. Finally, adaptability and flexibility will be emphasized, equipping learners with the resilience to thrive in dynamic environments. Course Curriculum Module 01: Introduction to Soft Skills Module 02: What are Soft Skills Module 03: Communication Module 04: Time Management Module 05: Teamwork Module 06: Self-Confidence (Owning It) Module 07: Problem-Solving Module 08: Networking Module 09: Attitude and Work Ethic Module 10: Adaptability/Flexibility Learning Outcomes: Master effective communication techniques for diverse interpersonal interactions. Enhance time management skills to boost productivity and efficiency. Cultivate teamwork abilities, fostering collaboration and synergy within teams. Develop unwavering self-confidence to exude assertiveness and credibility. Hone problem-solving prowess to tackle challenges with creativity and resilience. Expand networking capabilities to forge valuable professional connections and opportunities. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking to enhance their professional communication abilities. Students aiming to improve time management and organisational skills. Team members striving to strengthen collaboration and teamwork dynamics. Professionals aspiring to boost self-confidence and assertiveness in their roles. Individuals looking to sharpen problem-solving skills for career advancement. Career path Human Resources Assistant Customer Service Representative Sales Executive Project Coordinator Marketing Assistant Administrative Officer Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

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Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

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