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This Sales and Marketing Bundle Package includes: Main Course : Advanced Diploma in Sales and Marketing Co-ordinator at QLS Level 7 10 Additional CPD Accredited Premium Courses related to Sales and Marketing: Course 01: B2B Sales & Marketing Course 02: Marketing Secrets for High Sales Course 03: Customer Relationship Management Course 04: NLP For Sales, Persuasion & Influence Course 05: Leads and Sales Generating Course 06: Internal Audit Analyst Training Course 07: Sales Management Training Course 08: Creating Highly Profitable Sales Funnel Blueprint Foundations Course 09: Creative Marketing Plan Course 10: Business Training: Digital Marketing This Sales and Marketing bundle equips you with comprehensive skills in sales and marketing management, customer relationship management, lead generation, persuasion techniques, internal audit analysis, sales management, sales funnel creation, and creative marketing strategies. You'll gain the tools to captivate your audience, drive conversions, and foster long-lasting customer relationships. Learning Outcomes of Sales and Marketing Develop a comprehensive understanding of sales and marketing management principles. Master customer relationship management techniques and sales and marketing strategies. Explore innovative approaches to lead generation and sales conversion. Gain insights into neuro-linguistic programming for persuasion and influence. Learn internal audit analysis and sales management best practices. Develop skills in creating highly profitable sales funnels and marketing plans. Don't miss this chance to gain the knowledge and expertise you need to succeed in this rewarding field. Enrol now! Why Choose Us? Get a Free QLS Endorsed Certificate upon completion of this course Get a free student ID card with this Training This course is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Lifetime access to this course materials This course comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Main Course : Advanced Diploma in Sales and Marketing Co-ordinator at QLS Level 7 Module 01: Introduction Module 02: Sales Growth Module 03: Sales Hypnosis Module 04: Sales Presentation Module 05: Basics of Marketing Module 06: The Marketing Process Module 07: Strategic Marketing Module 08: Marketing Environment Module 09: Market Segmentations Module 10: Consumer Buying Behaviour and much more... Course 01: B2B Sales & Marketing Module 01: Introduction To B2B Sales And Marketing Module 02: Understanding The B2B Buyer Module 03: Creating A B2b Marketing Strategy Module 04: Sales And Marketing Alignment Module 05: Building A B2b Sales Team Module 06: B2b Lead Generation Module 07: B2B Sales Techniques Module 08: Customer Relationship Management Course 02: Marketing Secrets for High Sales Unit 01 - Introduction Unit 02 - Make Sure You're In The Right Niche Unit 03 - You Must Target The Right Client Unit 04 - Unlock The Power Of Segmentation Unit 05 - Case Study - A High Ticket Sale Unit 06 - Know The Big Picture Unit 07 - Get Inside The High-Ticket Buyers Mindset Unit 08 - Conducting A High-Ticket Sales Campaign Unit 09 - The Secret Shortcut To High-Ticket Sales Unit 10 - Fine-Tune Your Reverse Engineered Brand Unit 11 - Picking The Right High Ticket Product Or Service To Sell =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your QLS Endorsed Certificates and CPD Accredited Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £139) CPD 255 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: Financial professionals and compliance officers. Aspiring careers in finance and banking. Risk management and legal professionals. Office administrators and executive assistants. Professionals seeking career advancement opportunities. Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Sales Manager Marketing Director Business Consultant Account Executive Team Leader Entrepreneur Certificates Advanced Diploma in Sales and Marketing Co-ordinator at QLS Level 7 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free.
Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 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: 00:08:00 •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: 00:07:00 •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
Level 7 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited
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