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Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop 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 SQL NoSQL Big Data and Hadoop, 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 Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00
Want to become an expert NLP engineer and a data scientist? Then this is the right course for you. In this course, we will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner as well.
The course helps you learn Snowflake from scratch and explore a few of its important features. You will build automated pipelines with Snowflake and use the AWS cloud with Snowflake as a data warehouse. You will also explore Snowpark to be worked on the data pipelines.
Unveil the power of data through our captivating Basic Data Analysis course, where curiosity meets capability. Embark on a journey of discovery, exploring the intricacies of data and information analysis. Dive deep into various data analysis methods and tools, from exploratory data analysis to qualitative data analysis. Let us ignite your passion for deciphering insights hidden within data. In this course, you'll master the fundamentals of data analysis, gaining invaluable skills applicable across diverse fields. Explore modules covering the principles of process management and strategies for driving improvement through data-driven insights. From understanding variation to presenting performance data effectively, each module equips you with practical knowledge essential for success in data analysis jobs. So, if you are looking for data analysis courses, you've landed on the right page. Learning Outcomes: Acquire proficiency in using data analysis tools such as Pareto charts, histograms, and control charts. Develop the ability to interpret performance data and identify patterns through exploratory data analysis. Gain a comprehensive understanding of variation and strategies to manage it effectively. Apply data-driven approaches to drive continuous improvement and enhance decision-making processes. Demonstrate proficiency in structuring performance measurement systems to optimize organizational outcomes. Why buy this Basic Data Analysis 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. Certification After studying the course materials of the Basic Data Analysis 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 Basic Data Analysis course for? Individuals eager to enter the field of data analysis. Professionals seeking to enhance their data analysis skills. Students interested in exploring the principles of process management. Anyone curious about leveraging data for informed decision-making. Individuals aiming to pursue data analysis jobs in various industries. Prerequisites This Basic Data Analysis does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Basic Data Analysis 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 Data Analyst: £25,000 - £40,000 Per Annum Business Analyst: £30,000 - £45,000 Per Annum Financial Analyst: £30,000 - £50,000 Per Annum Market Research Analyst: £25,000 - £35,000 Per Annum Operations Analyst: £25,000 - £40,000 Per Annum Quality Assurance Analyst: £25,000 - £35,000 Per Annum Course Curriculum Basic Data Analysis Module 01: Introduction 00:02:00 Module 02: Agenda and Principles of Process Management 00:06:00 Module 03: The Voice of the Process 00:05:00 Module 04: Working as One Team for Improvement 00:04:00 Module 05: Exercise: The Voice of the Customer 00:03:00 Module 06: Tools for Data Analysis 00:07:00 Module 07: The Pareto Chart 00:03:00 Module 08: The Histogram 00:03:00 Module 09: The Run Chart 00:04:00 Module 10: Exercise: Presenting Performance Data 00:05:00 Module 11: Understanding Variation 00:06:00 Module 12: The Control Chart 00:06:00 Module 13: Control Chart Example 00:04:00 Module 14: Control Chart Special Cases 00:06:00 Module 15: Interpreting the Control Chart 00:10:00 Module 16: Control Chart Exercise 00:07:00 Module 17: Strategies to Deal with Variation 00:06:00 Module 18: Using Data to Drive Improvement 00:14:00 Module 19: A Structure for Performance Measurement 00:06:00 Module 20: Data Analysis Exercise 00:06:00 Module 21: Course Project 00:03:00 Module 22: Test your Understanding 00:17:00 Assignment Assignment - Diploma in Data Analysis Fundamentals 00:00:00
Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Data Analysis Welcome 00:02:00 Agenda and Principles of Process Management 00:06:00 The Voice of the Process 00:04:00 Working as One Team for Improvement 00:04:00 Exercise: The Voice of the Customer 00:03:00 Tools for Data Analysis 00:07:00 The Pareto Chart 00:02:00 The Histogram 00:02:00 The Run Chart 00:03:00 Exercise: Presenting Performance Data 00:04:00 Understanding Variation 00:06:00 The Control Chart 00:06:00 Control Chart Example 00:04:00 Control Chart Special Cases 00:06:00 Interpreting the Control Chart 00:09:00 Control Chart Exercise 00:07:00 Strategies to Deal with Variation 00:05:00 Using Data to Drive Improvement 00:13:00 A Structure for Performance Measurement 00:06:00 Data Analysis Exercise 00:05:00 Course Project 00:03:00 Test your Understanding 00:16:00 Assessment Assessment - Data Analysis Diploma 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.
Microsoft Power BI Masterclass 2021 Course Overview: The "Microsoft Power BI Masterclass 2021" provides learners with the skills to become proficient in data analysis and visualization using Power BI. This comprehensive course covers the core functionalities of Power BI, from data preparation and transformation to creating impactful reports and dashboards. Learners will gain valuable insights into data modelling, visualisation, and the use of DAX for advanced calculations. By the end of the course, participants will be able to apply their knowledge to real-world projects, improving their ability to communicate data-driven insights effectively. This course is ideal for professionals and beginners who want to leverage Power BI to unlock the potential of their data. Course Description: This masterclass delves into the essential features of Microsoft Power BI, guiding learners through every stage of data analysis. Starting with project setup and data transformation in the Query Editor, the course progresses to advanced topics such as DAX functions and data storytelling. Learners will explore how to build data models, create dashboards, and employ Python in Power BI to enhance their reports. The course also covers Power BI Service for cloud-based analytics, row-level security for data protection, and integrating additional data sources. With a focus on empowering users to communicate insights clearly, the course ensures learners gain the expertise to manage data efficiently, make informed decisions, and stay up to date with evolving tools and features. Microsoft Power BI Masterclass 2021 Curriculum: Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to advance their data visualization expertise. Beginners with an interest in data science or business analytics. Business analysts or data professionals looking to upskill in Power BI. Career Path: Data Analyst Business Intelligence Analyst Data Scientist Power BI Developer Reporting Analyst Data Visualisation Expert
The aim of the course Stock Analysis and Valuation is to provide students with a deep understanding of how to evaluate the financial health and value of publicly traded companies.After the successful completion of the course, you will be able to learn about the following, Understand the valuation of Stocks using Macro and Micro Valuations. Understand the use of Absolute Valuation or Discounted Cash Flow methods. Learn concepts in Stock Portfolio Management. The course "Stock Analysis and Valuation" is designed to provide students with a comprehensive understanding of the techniques and methods used in analyzing and valuing publicly traded companies. The course will cover the fundamental principles of financial analysis, competitive analysis, and valuation, and will provide students with practical skills in financial modeling, forecasting, and valuation. The course "Stock Analysis and Valuation" is designed to provide students with a comprehensive understanding of the techniques and methods used in analyzing and valuing publicly traded companies. The course will cover the fundamental principles of financial analysis, competitive analysis, and valuation, and will provide students with practical skills in financial modeling, forecasting, and valuation. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Stock Analysis and Valuation Self-paced pre-recorded learning content on this topic. Stock Analysis and Valustion Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Equity Analyst Investment Analyst Financial Analyst Valuation Specialist Portfolio Manager Research Analyst Fund Manager Asset Manager Investment Banker Private Equity Analyst Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.
24 Hours Left! Don't Let this Deal Slip Away - Enrol in the Sales and Marketing - QLS Endorsed Course Now! Do you understand what your consumers want? Is it essential to attempt another Sales and Marketing strategy for your brand? The answers to all these questions lie in this Sales and Marketing course. In the UK, the sales and marketing industry is a driving force, contributing over £240 billion to the economy annually. Do you want to gain expertise in strategic planning, market research, branding, and customer engagement? The Diploma in Sales and Marketing will provide you with a comprehensive understanding of the sales and marketing process, from market research and strategic planning to developing effective marketing campaigns and closing deals. You'll learn about consumer and business buying behavior, product and brand strategy, pricing tactics, and the various channels used to reach your target audience. The course also covers essential communication skills for both advertising and sales, as well as the latest trends in digital marketing. Courses Are Included In this Diploma in Sales and Marketing (Online) Training: Course 01: Diploma in Sales and Marketing (Online) Course 02: Strategic Planning and Analysis Course 03: Digital Marketing - Growth Hacking Techniques Course 04: Telemarketing & Sales Training Course 05: Diploma in Business Analysis This Diploma in Sales and Marketing at QLS Level 7 course is endorsed by The Quality Licence Scheme and accredited by CPD QS (with 200 CPD points) to make your skill development & career progression more accessible than ever! Learning Outcomes of Sales and Marketing Apply effective sales techniques to achieve targets. Develop a marketing plan to reach target audiences. Implement strategies to build and manage customer relationships. Analyse market research data to inform marketing decisions. Evaluate and select appropriate marketing channels. Develop and deliver persuasive sales presentations. Invest in your professional growth and embark on a rewarding career path that blends creativity, strategic thinking, and a deep understanding of customer needs. Sign up today and take the first step towards achieving your career goals! Why Choose Our Sales and Marketing Course: Get instant access to this Sales and Marketing course. Learn Sales and Marketing from anywhere in the world Our Sales and Marketing is affordable and simple to understand Sales and Marketing course is entirely online, with interactive lessons with voiceover audio Lifetime access to the Sales and Marketing course materials Sales and Marketing comes with 24/7 tutor support The profitability or failure of a business is determined by the functionality of the Sales and Marketing department. Sales and marketing is the process used to develop and sustain demand, relevance, brand, competitiveness, and other factors of sales and marketing. Without sales and marketing, your brand would be prone to failure due to a lack of sales and revenue. This Sales and marketing training entails a deep dive into consumer perceptions, buyer personas, communication, analytics, and so much more. Assessment Process of Sales and Marketing Assignment and MCQ-Based 60% Marks to pass Instant Assessment Certificates Offered in Sales and Marketing QLS-endorsed certificate CPD-Approved Certificate CPD 200 CPD hours / points Accredited by CPD Quality Standards Module 01: Basics 28:51 1: Basics of Marketing 28:51 Module 02: The Process 35:56 2: The Marketing Process 35:56 Module 03: Strategic Planning 50:32 3: Strategic Marketing 50:32 Module 04: Market Environment 21:19 4: Marketing Environment 21:19 Module 05: Market Segmentations 39:53 5: Market Segmentations 39:53 Module 06: Consumer Buying Behaviour 57:33 6: Consumer Buying Behaviour 57:33 Module 07: Business Markets and Buying Behaviour 37:41 7: Business Markets and Buying Behaviour 37:41 Module 08: Market Research 38:52 8: Marketing Research 38:52 Module 09: Product Strategy 43:22 9: Product Strategy 43:22 Module 10: Branding Strategy 31:59 10: Branding Strategy 31:59 Module 11: Product Life Cycle 23:50 11: Product Life Cycle 23:50 Module 12: Pricing Strategy 1:00:21 12: Pricing Strategy 1:00:21 Module 13: Channels 53:31 13: Marketing Channels 53:31 Module 14: Integrated Communications 47:57 14: Integrated Marketing Communications 47:57 Module 15: Advertising and Sales Promotion 48:08 15: Advertising and Sales Promotion 48:08 Module 16: Personal Selling and Public Relations 1:00:48 16: Personal Selling and Public Relations 1:00:48 Module 17: Direct and Digital Marketing 47:07 17: Direct and Digital Marketing 47:07 Assessment (Optional) 02:00 18: Assignment On - Advanced Diploma in Marketing at QLS Level 7 02:00 Order Your Certificate 02:00 19: Order Your CPD Certificate 01:00 20: Order Your QLS Endorsed Certificate 01:00 Course Completion 01:00 21: Course Completion 01:00 Free Course No 01: Strategic Planning and Analysis 1:55:03 22: Module 01: An Introduction to Strategic Planning 08:25 23: Module 02: Development of a Strategic Plan 15:12 24: Module 03: Strategic Planning for Marketing 08:01 25: Module 04: Strategic and Marketing Analysis 09:25 26: Module 05: Internal Analysis 15:54 27: Module 06: External Analysis 15:03 28: Module 07: Market Segmentation, Targeting and Positioning 11:55 29: Module 08: Approaches to Customer Analysis 15:09 30: Module 09: Approaches to Competitor Analysis 15:59 Free Course No 02: Digital Marketing - Growth Hacking Techniques 2:53:20 31: Module 01: Fundamentals of Digital Marketing 18:15 32: Module 02: Growth Hacking 12:36 33: Module 03: Customer Journey 12:57 34: Module 04: Content Marketing 13:20 35: Module 05: SEO (Search Engine Optimisation) 15:47 36: Module 06: E-Mail Marketing 19:02 37: Module 07: Facebook Marketing 17:56 38: Module 08: Instagram Marketing 20:22 39: Module 09: Twitter Marketing 13:43 40: Module 10: Youtube Marketing 15:27 41: Module 11: Mobile Marketing 13:55 Free Course No 03: Telemarketing & Sales Training 1:47:40 42: Module 01: Introduction to Tele Sales Executive Training 06:42 43: Module 02: All About Telemarketing 04:40 44: Module 03: Elevate Sales on Telephone 06:46 45: Module 04: Prospective Telephone-Sales Expert 06:21 46: Module 05: The Right Words and Phrases to Use on a Sales Call 05:36 47: Module 06: Preparing the Call 06:32 48: Module 07: Opening the Call 07:54 49: Module 08: Structuring the Call 06:20 50: Module 09: Verbal Communication Skills 12:11 51: Module 10: Dealing with Objections 12:11 52: Module 11: Closing the Sale/ Gaining Commitment 09:16 53: Module 12: Dealing with Rejection 06:58 54: Module 13: Close a Sale Call 06:43 55: Module 14: Increasing your Earnings by Expanding Sales 09:30 Free Courses No 04: Diploma in Business Analysis 3:08:23 56: Module 01: Introduction to Business Analysis 11:20 57: Module 02: Business Processes 26:35 58: Module 03: Business Analysis Planning and Monitoring 17:11 59: Module 04: Strategic Analysis and Product Scope 19:17 60: Module 05: Solution Evaluation 16:49 61: Module 06: Investigation Techniques 27:05 62: Module 07: Ratio Analysis 16:18 63: Module 08: Stakeholder Analysis and Management 15:10 64: Module 09: Process Improvement with Gap Analysis 12:55 65: Module 10: Documenting and Managing Requirements 16:07 66: Module 11: Career Prospect as a Business Analyst in the UK 09:36 Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is ideal for: Career changers Business owners Marketing professionals Sales representatives After completing this course, anyone can later enrol in these courses: NCFE Level 3 Diploma in Skills for Business: Sales and Marketing Level 4 Diploma in Sales and Marketing Management (RQF) Level 2 Award in Underage Sales Prevention (RQF) Level 5 Certificate in Sales (RQF) Level 4 Diploma in Sales and Marketing Management (RQF) Level 2 Award in Underage Sales Prevention (RQF) Level 5 Certificate in Sales (RQF) Requirements There are no requirements for enroling in this Sales and Marketing course. Career path Take this Sales and Marketing training to broaden your career opportunities. Sales Manager Marketing Manager Account Executive Business Development Entrepreneur Certificates Certificate Accredited by CPDQS Digital certificate - Included Free for the title course only. Advanced Diploma in Marketing at QLS Level 7 Hard copy certificate - £139 Show off Your New Skills with a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 139 GBP inside the UK 149 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS Upon finishing the course, you need to order to receive a Certificate Accredited by CPDQS that is accepted all over the UK and also internationally. The pricing schemes are: 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)
This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.