1753 Analytics courses delivered Online

Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The 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

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.

Course Description Get instant knowledge from this bite-sized Strategic Planning and Analysis for Marketing Part - 2 course. This course is very short and you can complete it within a very short time. In this Strategic Planning and Analysis for Marketing Part - 2 course you will get fundamental ideas of strategic planning and analysis for marketing, the key understanding of segmentation, targeting and so on. Enrol in this course today and start your instant first step towards learning about external analysis. Learn faster for instant implementation. Learning Outcome Familiarise with external analysis Understand market segmentation, targeting and positioning Gain in-depth knowledge of the approaches to customer analysis Deepen your understanding of approaches to competitor analysis How Much Do Marketing Managers Earn?  Senior - £68,000 Average - £49,000 Starting - £35,000 Requirement Our Strategic Planning and Analysis for Marketing Part - 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Strategic Planning and Analysis for Marketing Part - 2 Module 01: External Analysis 00:24:00 Module 02: Market Segmentation, Targeting and Positioning 00:16:00 Module 03: Approaches to Customer Analysis 00:22:00 Module 04: Approaches to Competitor Analysis 00:25:00 Assignment Assignment - Strategic Planning and Analysis for Marketing Part - 2 00:00:00

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Business Analysis: Diploma in Business Analysis course Online Business analysts are responsible for implementing positive change at all levels of an organisation. The business analyst, appointed by both employers and stakeholders, must establish objectives (financial or otherwise) and oversee the creation and implementation of solutions. Ultimately, they work with complex business intelligence data to continuously improve performance and profitability. To become a skilled business analyst is to become one of the most in-demand commodities for employers and decision-makers worldwide. This Business Analysis: Diploma in Business Analysis course provides a thorough introduction to the primary functions and objectives of business analysis activities. Learn about the business analyst's main duties and responsibilities, as well as the six primary phases of the business analysis process, the art of effective business process improvement, and how to perform a gap analysis. Whether you are looking for a promotion or a major career change, this Business Analysis: Diploma in Business Analysis course could make all the difference. Main Course: Diploma in Business Analysis Free Courses included with Business Analysis: Diploma in Business Analysis Course: Along with Diploma in Business Analysis Course you will get free Minute Taking Along with Diploma in Business Analysis Course you will get free Creating a Business Start-Up Along with Diploma in Business Analysis Course you will get free Strategic Management Special Offers of this Business Analysis: Diploma in Business Analysis Course; This Business Analysis: Diploma in Business Analysis Course includes a FREE PDF Certificate. Lifetime access to this Business Analysis: Diploma in Business Analysis Course Instant access to this Business Analysis: Diploma in Business Analysis Course 24/7 Support Available to this Business Analysis: Diploma in Business Analysis Course Business Analysis: Diploma in Business Analysis course Online The Business Analysis: Diploma in Business Analysis Course comprehensively covers the fundamental purposes and goals of business analysis activities. Additionally, it educates you about the key responsibilities and duties of a business analyst. This Business Analysis: Diploma in Business Analysis Course is designed to teach you about the six primary stages of the business analysis process and includes instruction on the efficient optimization of business processes, as well as conducting a gap analysis. Who is this course for? Business Analysis: Diploma in Business Analysis course Online This Business Analysis: Diploma in Business Analysis course is suitable for anyone looking to take a current or prospective career in business to the next level. Whether pursuing a position with an established employer or interested in starting your own business, your advanced business analysis acumen will prime you for a successful career. Requirements Business Analysis: Diploma in Business Analysis course Online To enrol in this Business Analysis: Diploma in Business Analysis course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Business Analysis: Diploma in Business Analysis course. Be energetic and self-motivated to complete our Business Analysis: Diploma in Business Analysis course. Basic computer Skill is required to complete our Business Analysis: Diploma in Business Analysis course. If you want to enrol in our Business Analysis: Diploma in Business Analysis course, you must be at least 15 years old. Career path Business Analysis: Diploma in Business Analysis course Online This Business Analysis: Diploma in Business Analysis Course could open a successful career in almost any business setting.

Business Analysis: Business Analysis Course Online Introducing Business Analysis: Business Analysis Course "Empowering the Next Generation" Online course! This Business Analysis: Business Analysis Course provides a thorough introduction to the primary functions and objectives of business analysis: business analysis activities. Learn about the business analyst's main duties and responsibilities, as well as the six primary phases of the business analysis: business analysis process, the art of effective business process improvement, and how to perform a gap analysis. Whether you are looking for a promotion or a major career change, this Business Analysis: Business Analysis Course could make all the difference. Business Analysis: Business Analysis Course are responsible for implementing positive change at all levels of an organisation. The business analyst, appointed by both employers and stakeholders, must establish objectives (financial or otherwise) and oversee the creation and implementation of solutions. Ultimately, they work with complex business intelligence data to continuously improve performance and profitability. To become a skilled business analyst is to become one of the most in-demand commodities for employers and decision-makers worldwide. Why choose this Business Analysis: Business Analysis Course from the School of Health Care? Self-paced Autism: Autism course, access available from anywhere in the world. Business Analysis: Business Analysis Course developed by industry experts. After each module of Autism: Autism Course, there will be an MCQ quiz to assess your learning. Free PDF certificate after completing the Business Analysis: Business Analysis Course Courses you will Get with This Business Analysis: Business Analysis Course Course 01: Business Analysis Course 02: Business Process Management Course 03: Creating a Business Start-Up Course 04: Level 3 Business Administration Course 05: Strategic Management Special Offers of this Business Analysis: Business Analysis Course: This Business Analysis: Business Analysis Course includes a FREE PDF Certificate. Lifetime access to this Business Analysis: Business Analysis Course Instant access to this Business Analysis: Business Analysis Course 24/7 Support Available to this Business Analysis: Business Analysis Course [ Note: Free PDF certificate as soon as completing Business Analysis: Business Analysis Course] Business Analysis: Business Analysis Course Online This Business Analysis: Business Analysis Course consists of 12 modules. This Business Analysis: Business Analysis course is your gateway to mastering the skills needed to drive positive change in organisations. As a business analyst, you'll be responsible for setting objectives, whether financial or operational, and overseeing the creation of solutions. Through this Business Analysis: Business Analysis course, you’ll learn how to work with complex business intelligence data to improve performance and profitability. Becoming a skilled professional in Business Analysis: Business Analysis makes you an in-demand asset for employers and decision-makers globally. Who is this course for? Business Analysis: Business Analysis Course Online This Business Analysis: Business Analysis Course is suitable for anyone looking to take a current or prospective career in business to the next level. Requirements Business Analysis: Business Analysis Course Online To enrol in this Business Analysis: Business Analysis Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Business Analysis: Business Analysis Course. Be energetic and self-motivated to complete our Business Analysis: Business Analysis Course. Basic computer Skill is required to complete our Business Analysis: Business Analysis Course. If you want to enrol in our Business Analysis: Business Analysis Course, you must be at least 15 years old. Career path Business Analysis: Business Analysis Course Online A Business Analysis: Business Analysis Course may prepare you for a successful career in practically any corporate environment.

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

Register on the Diploma in Data Analysis Fundamentals today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Diploma in Data Analysis Fundamentals is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Diploma in Data Analysis Fundamentals 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 Diploma in Data Analysis Fundamentals, 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 Contents Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding

Course Description Get instant knowledge from this bite-sized Strategic Planning and Analysis for Marketing Part - 1 course. This course is very short and you can complete it within a very short time. In this Strategic Planning and Analysis for Marketing Part - 1 course you will get fundamental ideas of strategic planning and analysis for marketing, the key understanding of the development of a strategic plan, internal analysis and so on. Enrol in this course today and start your instant first step towards learning about strategic planning for marketing. Learn faster for instant implementation. Learning Outcome Familiarise with strategic planning for marketing Understand strategic planning Gain in-depth knowledge of the development of a strategic plan Understand strategic and marketing analysis Learn about internal analysis How Much Do Marketing Managers Earn?  Senior - £68,000 Average - £49,000 Starting - £35,000 Requirement Our Strategic Planning and Analysis for Marketing Part - 1 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Strategic Planning and Analysis for Marketing Part - 1 Module 01: An Introduction to Strategic Planning 00:17:00 Module 02: Development of a Strategic Plan 00:24:00 Module 03: Strategic Planning for Marketing 00:12:00 Module 04: Strategic and Marketing Analysis 00:14:00 Module 05: Internal Analysis 00:24:00 Assignment Assignment - Strategic Planning and Analysis for Marketing Part - 1 00:00:00

Overview This comprehensive course on Business Intelligence and Data Mining Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Business Intelligence and Data Mining Masterclass comes with accredited certification, 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 Business Intelligence and Data Mining Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Business Intelligence and Data Mining Masterclass 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 24 lectures • 04:56:00 total length •Module 01: What is Business Intelligence?: 00:05:00 •Module 02: Starting Case in understanding BI needs in diff phase of business: 00:07:00 •Module 03: Decision Making Process and Need of IT systems: 00:20:00 •Module 04: Problem Structure and Decision Support System: 00:11:00 •Module 05: Introduction to BI Applications: 00:18:00 •Module 06: Dashboard presentation systems: 00:07:00 •Module 07: Different Types of Charts used in 131 Dashboards: 00:30:00 •Module 08: Good Dashboard and BSC: 00:13:00 •Module 09: Examples of Bad Dashboards 1: 00:07:00 •Module 10: Examples of Bad Dashboards 2: 00:01:00 •Module 11: Process of KPI Development: 00:26:00 •Module 12: Overview of Data warehouse: 00:08:00 •Module 13: More explaining of data warehouse and steps in processing: 00:09:00 •Module 14: Data Warehouse Architecture -Tiers: 00:18:00 •Module 15: Data Warehouse - components: 00:15:00 •Module 16: Approach to develop data structure and Models of database: 00:16:00 •Module 17: Basics of Data Mining - Meaning: 00:35:00 •Module 18: Basics of Data Mining - Stages of DM: 00:25:00 •Module 19: Data Mining Technique - Classification: 00:07:00 •Module 20: Data mining - Clustering: 00:02:00 •Module 21: Data Mining - Association Rules: 00:05:00 •Module 22: Data Mining Applications - Banking: 00:03:00 •Module 23: Data Mining Applications - CRM: 00:04:00 •Module 24: Data Mining Applications - other industries: 00:04:00