396 Courses

The Data Analyst Mini Bundle equips learners with core skills in data analysis and management, including courses on data entry, SQL, Python programming, and Microsoft Access. This bundle is ideal for anyone interested in entering the field of data analytics or enhancing their ability to handle and interpret data effectively. The curriculum focuses on key tools and techniques for collecting, organising, and analysing data. Learners gain a solid foundation in programming languages and software widely used in data roles, enabling confident application of data skills in various industries. Learning Outcomes: Understand data entry methods and accuracy requirements. Learn SQL for managing and querying databases effectively. Study Python basics for data analysis and automation tasks. Explore Microsoft Access for database management and reporting. Develop skills to clean and interpret data sets accurately. Apply analytical thinking to solve data-related problems. Who Is This Course For: Aspiring data analysts wanting to learn key technical tools. Office staff managing data and database tasks. IT professionals looking to expand data analysis skills. Students preparing for careers in data science or analytics. Business professionals aiming to interpret data confidently. Freelancers handling data collection and reporting duties. Individuals interested in programming for data applications. Anyone seeking an online introduction to data analytics. Career Path: Data Analyst – £28,000 to £45,000 SQL Developer – £30,000 to £48,000 Business Intelligence Analyst – £32,000 to £50,000 Data Entry Specialist – £18,000 to £25,000 Python Developer (Data Focus) – £35,000 to £55,000 Database Administrator – £30,000 to £48,000

Overview   With the ever-increasing demand for Tableau in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Tableau may be.   Learning about Tableau or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Tableau. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Tableau is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Diploma in Data Analytics In Tableau course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Diploma in Data Analytics In Tableau course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Diploma in Data Analytics In Tableau course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Tableau, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Tableau, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Tableau, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Diploma in Data Analytics In Tableau course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.    Course Curriculum Module 01_ Data Analytics Data Analytics 00:00 Module 02_ Why Use Tableau for Data Analytics Why Use Tableau for Data Analytics 00:00 Module 03_ Getting Started With Tableau Getting Started With Tableau 00:00 Module 04_ Tableau Data Source (TDS) Tableau Data Source (TDS) 00:00 Module 05_ Tableau Worksheets Tableau Worksheets 00:00 Module 06_ Tableau Calculations Tableau Calculations 00:00 Module 07_ Tableau Sort _ Filters Tableau Sort _ Filters 00:00 Module 08_ Tableau Charts Tableau Charts 00:00 Module 09_ Tableau Advanced Tableau Advanced 00:00

The Professional Certificate in Research Data Analysis Methods aims to provide extensive training on the nature, importance and expected results from qualitative and quantitative data analysis methods so that the learner can decide on the adoption of either or both methods after evaluation of the research objectives. Learning Outcomes After the successful completion of the certificate, the student will be able to learn: Data Analysis. Quantitative Data Analysis. Data Types of Quantitative Data Analysis. Designing Table and charts. Appreciating Data Analytics. Data-Analytic Methods. Analysing Quantitative Data. Qualitative Data analysis. Dimensions of Qualitative Analysis. Qualitative Data Analysis Methods. Analysing Qualitative Data. 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. Research Data Analysis Methods The course aims to provide extensive training on the nature, importance and expected results from both qualitative and quantitative data analysis methods. Research Data Analysis Methods 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 gets updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Research student Business researcher Research supervisor Research Teacher 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.

Venture into the dynamic world of credit control, focusing on contemporary tools and technologies to ensure financial stability in any enterprise.

Master Microsoft Power BI in 90 minutes! Learn to create dashboards and handle live data, turning information into insight.

Master Deep Learning Heuristics with R! This course will teach you how to use Deep Learning Heuristics to solve complex problems in Agriculture, Cryptocurrencies, Energy Sector, and Financial Markets. With R, you will be able to develop and implement efficient and scalable solutions.

This AWS SageMaker Canvas course will help you become a machine learning expert and will enhance your skills by offering you comprehensive knowledge and the required hands-on experience on this newly launched cloud-based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.

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

SEO and Digital Marketing Diploma Overview Email marketing, SEO, and social media platforms like Facebook, Twitter, and Pinterest are all covered in this SEO and Digital Marketing Diploma course. This certificate is ideal for individuals who want to succeed in the fast-paced field of SEO and digital marketing. A thorough education in modern marketing techniques is provided by the SEO and Digital Marketing Diploma. Your role-specific knowledge and competence in data analytics, SEO keywords, website auditing, keyword analysis, monetising websites, and plugin installation will be acquired through video lessons, online study materials, suggested reading, and automated assessments. An additional goal of this course is to provide you with real-world knowledge on how to grow an online following on various social media platforms, such as Facebook, YouTube, LinkedIn, and Twitter. Why You Should Choose SEO and Digital Marketing Diploma Diploma Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? SEO and Digital Marketing Diploma Diploma is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our SEO and Digital Marketing Diploma 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. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Module 01: Introduction Welcome 00:01:00 Module 02: General Tips & Tricks Series How to register your company 00:04:00 How to see Email Sender's Company and Logo in Your Gmail 00:02:00 How to Generate sitemap of a website 00:03:00 How to protect a website from Spam on WordPress 00:02:00 Quick way to identify whether the website is Mobile optimized 00:03:00 How to identify registration data of website 00:01:00 How to identify duplicate content from the web 00:03:00 How to create google alerts 00:03:00 How to find the age of the domin 00:02:00 How to check if the website server is down 00:01:00 How to create text notes thatwill self destruct after being read 00:02:00 How to send google search information to your friends 00:03:00 How to find webhost of any website 00:02:00 Discover new sites that are similar to what you like alredy 00:03:00 How to easily highlight the important parts of a web page 00:01:00 How to share you email online without worrying about spam 00:02:00 How to get compute level answers without searching 00:03:00 The easiest way to setup email reminders 00:03:00 How to find the original URL tht's hiding behind a short URL 00:02:00 How to corrupt a file you shared online 00:01:00 How to create a throwaway email 00:02:00 How to check if your email account has been compromised 00:01:00 Module 03: SEO (Search Engine Optimisation) How to register website on Google search console 00:06:00 How to Optimize your website homepage 00:06:00 SEO - How to add a sitemap on google search 00:07:00 How to shortlist targeted keyword list in google keyword planner 00:08:00 How to set international targeting on google search 00:02:00 How to remove a URL from google search engine 00:03:00 How to identify competitors keyword 00:08:00 How to leverage top sites to get on google search results 00:04:00 Discover powerful data analytics to mesure SEO performance 00:06:00 How to do keyword research 00:11:00 How to write perfect title tags for search engines 00:05:00 How to optimise heading tags, external and internal links 00:08:00 What are backlinks & how to get them 00:06:00 How to write a perfect Meta description 00:06:00 How to enhance speed & performance of your website 00:04:00 Module 04: YouTube Youtube account setup 00:04:00 Account optimization 00:09:00 How to create & setup Youtube channel banner 00:05:00 Youtube channel tags, thumbnails & custom thumbnails 00:08:00 Analyse Youtube keyword research 00:05:00 Youtube SEO techniques 00:07:00 What are Youtube cards & how does it work 00:06:00 How to optimise comments & reply them in bulk 00:03:00 How to grow your channel with competitor Analysis 00:07:00 How to manage multiple YouTube accounts 00:02:00 A simple yet powerful trick to increase your subscribers list 00:03:00 Youtube Paid Advertising 00:13:00 How to monetise your YouTube channel 00:02:00 Module 05: Google Adwords What are Google Ads & how does it work 00:16:00 Account setup 00:04:00 Competitors analysis 00:08:00 Campaign types & how to select the right campaign 00:07:00 Bids & Budgets 00:08:00 How to target the right audience 00:07:00 Google Ads advance campaign settings 00:07:00 Choosing the right keywords 00:05:00 How to write ads that gets more clicks 00:06:00 Module 06: Google Analytics How to install tracking code on your website 00:04:00 How to add filters & remove internal traffic 00:04:00 How to track paid campaigns 00:04:00 How to look and analyse different segment data 00:06:00 How to configure goals in google analysics 00:05:00 How to link google Adwords account 00:03:00 How to manage multiple analytics accounts 00:02:00 How to remove spam traffic 00:04:00 Module 07: Email Marketing Email marketing tools set up ( Mailchimp and Gestresponse) 00:10:00 How to install signup or popup forms on the website 00:17:00 How to collect email address without a wbsite 00:05:00 How to create a 'Hook' to your signup forms 00:08:00 Discover the psychology behind acquiring more leads 00:09:00 Email marketing automation process 00:08:00 Email analytics 00:07:00 Module 08: Linkedln How to increase your connections in no time 00:08:00 Secret of LinkedIn InMails 00:05:00 Discover the best ways to use Linkedin Groups 00:09:00 How to setup a company page on Linkedin 00:04:00 How to increase traffic to your website using Linkedin blog 00:07:00 Module 09: Twitter Twitter Account setup 00:03:00 Knowing Twitter features 00:06:00 Following twitter accounts 00:03:00 Twitter profile optimisation 00:06:00 How to get Twitter followers 00:10:00 Posting first 5 tweets for engagement 00:05:00 Leveraging Hashtags to increase your tweets visibility 00:04:00 What are twitter polls & how do you use them 00:05:00 A powerful trick to acquire customers on twitter 00:03:00 How to get followers retweet your post 00:03:00 How to embed a twitter button to your website or post 00:02:00 Twitter analytics 00:04:00 Module 10: Facebook Set your Facebook page 00:05:00 Facebook Icon, cover image & description 00:06:00 How to get your first page likes 00:08:00 Discover how to increase your page likes 00:02:00 How to manage multiple Facebook page 00:03:00 Facebook comments 00:05:00 Leveraging Facebook groups 00:05:00 Facebook Autoposting 00:04:00 Run a competition 00:06:00 Facebook Ads 00:04:00 How to get best out of Facebook 00:15:00 Facebook pixel & Re-marketing 00:04:00 Module 11: Instagram How to setup a Instagram business profile 00:07:00 Set up Instagram bio & profile image 00:03:00 Leveraging Instagram accounts 00:06:00 A simple way to create free content on Instagram 00:05:00 Secret of hashtags on Instagram 00:04:00 Reposting Instagram App 00:04:00 How to get genuine Instagram followers 00:05:00 Discover how to grow your business through Instagram stories 00:05:00 How to get your posts reposted on Instgram by influncers 00:05:00 Module 12: Mobile App A quick way to do App store marketing research 00:16:00 How to discover the estimate size of your market 00:08:00 Discover the best ways to promote your app 00:15:00 App installs via Facebook Ads 00:16:00 App installs via Google Ads 00:14:00 How to make money from your app 00:08:00 How to optimise your App store listing ? 00:14:00 Discover growth hacking techniques for App downloads 00:09:00 Techniques to get to the top of App store ranking 00:07:00

Master 75+ Excel tips and techniques and become a certified POWER USER, with unique hands-on demos and real-world projects to help you wrangle, analyze, and visualize your data in Excel.