1784 Analytics courses in Epsom delivered Online

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This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data and visualize data and insights using advanced visualizations in charts and dashboards in Excel.

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Master Excel to catapult your productivity skills with this online course. Go from Beginner to Pro in Excel

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Data modelling and visualisation skills are in demand! Create Interactive Reports and Dashboards.

Description: Search engine optimization is to maximize the frequency of visitors into your website through ensuring that your site will appear in the top list of results when searched in the search engine. Gaining appropriate training in SEO will help in the success of your business or the organization you are in. SEO is important if you want to promote your products and services on your website. If you become an expert in SEO, then the possibility of achieving new clients is high. Enroll in our course and get more clients and customers for your business. Who is the course for? Employees of the business industry and other businessmen who want to learn how to become profitable through search engine optimization. People who have an interest in SEO and how to utilize it to succeed in internet marketing Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Search Engine Optimisation (SEO) Training course will be very beneficial and helpful, especially to the following careers: Businessman Digital Marketing Staff Internet Marketer Marketing and Promotions Specialist Marketing Manager Product Creator Sales Manager Sales and Promotions Specialist SEO Specialist. Updated Version-SEO Training Section-1: Introduction to SEO What You Will Learn in This Course 00:02:00 What Is SEO 00:05:00 Why SEO Is Important 00:03:00 What Are the Top Search Engines 00:07:00 How The Search Engines Works 00:04:00 Approved and Non-Approved SEO Practices 00:01:00 Section-2: Creating an SEO Strategy How to Find Keywords with High Search Volume 00:06:00 How You Create an SEO Strategy 00:05:00 Section-3: On-Page SEO On-Page SEO Your Content Part 1 00:05:00 On-Page SEO Your Content Part 2 00:04:00 On-Page SEO Your Content Part 3 00:03:00 On-Page SEO Your Content Part 4 00:03:00 On-Page SEO: Using YOAST Plug 00:09:00 Section-4: On-Site SEO On-Site SEO: SEO Boost from Your Other Pages 00:06:00 On-Site SEO: Create an SEO Friendly Website 00:04:00 Section-5: Off-Site SEO Off-Site SEO: Two Types of Backlinks 00:02:00 Off-Site SEO: Strategies for Building Backlinks 00:05:00 Section-6: Black Hat SEO Black Hat SEO and What to Avoid 00:06:00 Section-7: Tools for SEO Tools That Will Help You with SEO 00:06:00 Section-8: Search Engine Domination (S.E.D) Search Engine Domination Strategies 00:05:00 Section-9: Article Marketing How to Create a Great Blog 00:06:00 Outsourcing Your Article Marketing 00:04:00 Section-10: Project Project: Create a Valuable SEO Article 00:02:00 Assignment Assignment - SEO - Search Engine Optimisation 6 days, 9 hours Order Your Certificate Order Your Certificates and Transcripts 00:00:00 Old Version-SEO Course SEO for Business Expansion What Is Search Engine Optimization? 01:00:00 Search Engines That Use SEO 01:00:00 Using SEO In Website Text 01:00:00 Using SEO For Google Ads 01:00:00 Using SEO For Article Marketing 01:00:00 Using SEO In Press Releases 00:30:00 Using Longtail Keywords 00:30:00 Using Google To Discover The Best Keywords 00:30:00 SEO For Video Ads 00:30:00 SEO In Photos 00:30:00 Blogging With SEO Marketing 01:00:00 Using A SEO Company 01:00:00 SEO Techniques Introduction to SEO 00:30:00 Improve Engagement to Improve Rankings 01:00:00 Make Your Existing Pages Longer 00:30:00 Focus on YouTube SEO 00:30:00 Improve Site Speed 00:30:00 Focus on Topics Instead of Keywords 00:30:00 Build Backlinks 00:15:00 Reporting and Analytics 00:30:00 Technical Optimization 00:30:00 Local SEO and Listings 00:30:00 Guest posting 00:30:00 Effective Seo Tools 01:00:00 Digital Marketing for your Business If You Fail to Plan,You Plan to Fail 00:30:00 Terminology and Jargon You Can't Live Without 00:30:00 Clearing Up Common Misconceptions 01:00:00 Recognizing Basic Plan Mechanics 00:15:00 How Do You Calculate Value On Cash And Point 00:15:00 Payout Transparency 00:15:00 Buy Back Policy 00:30:00 Breakaway 01:00:00 Infinity Bonuses & Blocking 00:30:00 Summary and Closing 00:15:00 Keyword Analysis Techniques Introduction 00:15:00 Preliminary Keyword Research 01:00:00 Keyword Research Assessment 00:30:00 Keywords in SEO(Search Engine Optimization) 00:30:00 Off-Page SEO(Search Engine Optimization) 00:30:00 Mock Exam Mock Exam- Search Engine Optimisation (SEO) Training 00:30:00 Final Exam Final Exam- Search Engine Optimisation (SEO) Training 00:30:00

Increase your Excel and Pivot Table skills and knowledge within hours which will get you noticed by top management and prospective employers. Become more productive at using Excel which will save you hours each day and eliminate stress at work. This course helps you learn about Pivot Tables that can be used for data analysis with a proper approach.

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