284 Big Data courses

Are you interested in becoming a skilled SQL developer? Look no further than our SQL Developer Training bundle package! This 25-course package includes everything you need to become a master of SQL and set yourself up for a successful career in technology. Our courses cover all aspects of SQL programming, from beginner-level courses to advanced topics like NoSQL, Big Data, and Hadoop. You'll learn from expert instructors who have years of experience in the industry, and you'll get hands-on experience with real-world projects and assignments. In addition to the SQL-specific courses, you'll also receive five career-guided courses that will help you build a successful career in technology. These courses cover everything from creating a professional LinkedIn profile to acing the job interview. The SQL Developer Training bundle is designed for individuals who want to take their career in technology to the next level. Whether you're new to SQL or you're looking to advance your skills, this bundle has everything you need to succeed. So what are you waiting for? Enrol in our SQL Developer Training bundle today and take the first step toward becoming a skilled SQL developer! This 20-in 1 Ultimate SQL Developer bundle consists of the following Courses: Course 01: SQL Programming Masterclass Course 02: SQL Server for Beginners Course 03: SQL NoSQL Big Data and Hadoop Course 04: Microsoft SQL Server Development for Everyone Course 05: Javascript Programming for Beginners Course 06: Master JavaScript with Data Visualization Course 07: jQuery: JavaScript and AJAX Coding Bible Course 08: Kotlin Programming : Android Coding Course 09: Quick Data Science Approach from Scratch Course 10: Secure Programming of Web Applications Course 11: A-Frame Web VR Programming Course 12: Complete AutoLISP Programming Course 13: Building Your Own Computer Course Course 14: Neuro-linguistic Programming (NLP) Diploma Course 15: Cyber Security Incident Handling and Incident Response Course 16: Computer Networks Security Course 17: IT Asset Department Course 18: C# Programming - Beginner to Advanced Course 19: AutoCAD Programming using C# with Windows Forms Course 20: AutoCAD Programming using VB.NET with Windows Forms Additionally, you will get 5 other career-guided courses in this SQL Developer bundle: Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Course 04: Video Job Interview for Job Seekers Course 05: Create a Professional LinkedIn Profile So, stop scrolling down and procure the skills and aptitude with Apex Learning to outshine all your peers by enrolling in this SQL Developer bundle. Learning Outcomes of SQL Developer bundle This career-oriented bundle will help you to Gain the ability to excel in the role of SQL Developer Know your responsibilities as SQL Developer and convey your experience to others Gain excellent interpersonal and communication skills Know the pros and cons of working as SQL Developer Adhere to the regulations around this area Gain time and risk management skills to ensure efficiency Manipulate technological advancement to become more effective Maintain moral standards and set an example for your peers CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this SQL Developer bundle. Requirements This SQL Developer course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (SQL Programming Masterclass) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Are you looking to elevate your professional skills to new heights? Introducing our Advanced Diploma in Microsoft Power BI at QLS Level 7, a QLS-endorsed course bundle that sets a new standard in online education. This prestigious endorsement by the Quality Licence Scheme (QLS) is a testament to the exceptional quality and rigour of our course content. The bundle comprises 11 CPD-accredited courses, each meticulously designed to meet the highest standards of learning. This endorsement not only highlights the excellence of our courses but also assures that your learning journey is recognised and valued in the professional world. The purpose of Advanced Diploma in Microsoft Power BI at QLS Level 7 is to provide learners with a comprehensive, skill-enriching experience that caters to a variety of professional needs. Each course within the bundle is crafted to not only impart essential knowledge but also to enhance practical skills, ensuring that learners are well-equipped to excel in their respective fields. From gaining cutting-edge industry insights to mastering critical thinking and problem-solving techniques, this bundle is an amalgamation of learning experiences that are both enriching and empowering. Moreover, Advanced Diploma in Microsoft Power BI at QLS Level 7 goes beyond just online learning. Upon completion of the bundle, learners will receive a free QLS Endorsed Hardcopy Certificate & 11 CPD Accredited PDF Certificate, a tangible acknowledgement of their dedication and hard work. This certificate serves as a powerful tool in showcasing your newly acquired skills and knowledge to potential employers. So, why wait? Embark on this transformative learning journey today and unlock your potential with Advanced Diploma in Microsoft Power BI at QLS Level 7! QLS Endorsed Course: Course 01:Advanced Diploma in Microsoft Power BI at QLS Level 7 CPD QS Accredited Courses: Course 02: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 03: Big Data Analytics with PySpark Power BI and MongoDB Course 04: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 05: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 06: Introduction to Data Analytics with Tableau Course 07: Google Data Studio: Data Analytics Course 08: SQL for Data Science, Data Analytics and Data Visualization Course 09: Financial Analysis Course 10: Learn Microsoft Word, PowerPoint & Outlook In 90 Minutes! Course 11: Microsoft Excel: Master Power Query in 120 Minutes! Course 12: Data Analysis and Forecasting in Excel Learning Outcomes Upon completion of the bundle, you will be able to: Acquire industry-relevant skills and up-to-date knowledge. Enhance critical thinking and problem-solving abilities. Gain a competitive edge in the job market with QLS-endorsed certification. Develop a comprehensive understanding in this field. Master practical application of theoretical concepts. Improve career prospects with CPD-accredited courses. The Advanced Diploma in Microsoft Power BI at QLS Level 7offers an unparalleled learning experience endorsed by the Quality Licence Scheme (QLS). This endorsement underlines the quality and depth of the courses, ensuring that your learning is recognised globally. The bundle includes 11 CPD-accredited courses, each meticulously designed to cater to your professional development needs. Whether you're looking to gain new skills, enhance existing ones, or pursue a complete career change, this bundle provides the tools and knowledge necessary to achieve your goals. The Quality Licence Scheme (QLS) endorsement further elevates your professional credibility, signalling to potential employers your commitment to excellence and continuous learning. The benefits of this course are manifold - from enhancing your resume with a QLS-endorsed certification to developing skills directly applicable to your job, positioning you for promotions, higher salary brackets, and a broader range of career opportunities. Embark on a journey of professional transformation with Advanced Diploma in Microsoft Power BI at QLS Level 7 today and seize the opportunity to stand out in your career. Enrol in Microsoft Power BI now and take the first step towards unlocking a world of potential and possibilities. Don't miss out on this chance to redefine your professional trajectory! Certificate of Achievement: QLS-endorsed courses are designed to provide learners with the skills and knowledge they need to succeed in their chosen field. The Quality Licence Scheme is a distinguished and respected accreditation in the UK, denoting exceptional quality and excellence. It carries significant weight among industry professionals and recruiters. Upon completion, learners will receive a Free Premium QLS Endorsed Hard Copy Certificate titled 'Advanced Diploma in Microsoft Power BI at QLS Level 7' & 11 Free CPD Accredited PDF Certificates. These certificates serve to validate the completion of the course, the level achieved, and the QLS endorsement. Please Note: NextGen Learning is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Advanced Diploma in Microsoft Power BI at QLS Level 7 bundle is ideal for: Professionals seeking to enhance their skills and knowledge. Individuals aiming for career advancement or transition. Those seeking CPD-accredited certification for professional growth. Learners desiring a QLS-endorsed comprehensive learning experience. Requirements You are cordially invited to enroll in this bundle; please note that there are no formal prerequisites or qualifications required. We've designed this curriculum to be accessible to all, irrespective of prior experience or educational background. Career path Upon completing the Advanced Diploma in Microsoft Power BI at QLS Level 7 course bundle, each offering promising prospects and competitive salary ranges. Whether you aspire to climb the corporate ladder in a managerial role, delve into the dynamic world of marketing, explore the intricacies of finance, or excel in the ever-evolving field of technology. Certificates CPD Quality Standard Certificate Digital certificate - Included Free 11 CPD Accredited PDF Certificates. QLS Endorsed Certificate Hard copy certificate - Included

Duration 3 Days 18 CPD hours This course is intended for This course is intended for Solution Architects Overview At the end of this course, you will be able to: Apply the AWS Well-Architected Framework Manage multiple AWS accounts for your organization Connect an on-premises datacenter to AWS cloud Move large data from an on-premises datacenter to AWS Design large datastores for AWS cloud Understand different architectural designs for scalability Protect your infrastructure from DDoS attack Secure your data on AWS with encryption Enhance the performance of your solutions Select the most appropriate AWS deployment mechanism Building on concepts introduced in Architecting on AWS, Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic applications on the AWS platform. Building on concepts introduced in Architecting on AWS, this course covers how to build complex solutions which incorporate data services, governance, and security on AWS. This course introduces specialized AWS services, including AWS Direct Connect and AWS Storage Gateway to support Hybrid architecture. It also covers designing best practices for building scalable, elastic, secure, and highly available applications on AWS. Module 1: AWS Account Management Multiple accounts Multi-account patterns License management Manage security and costs with multiple accounts AWS Organizations AWS Directory Service Hands-on lab: Multi-VPC connectivity using a VPN Module 2: Advanced Network Architectures Improve VPC network connections Enhance performance for HPC workloads VPN connections over AWS AWS Direct Connect AWS Transit Gateway Amazon Route 53 Exercise: Design a hybrid architecture Module 3: Deployment Management on AWS Application lifecycle management Application deployment using containers AWS Elastic Beanstalk AWS OpsWorks AWS CloudFormation Module 4: Data Optimize Amazon S3 storage Amazon ElastiCache AWS Snowball AWS Storage Gateway AWS DataSync Backup and archival considerations Database migration Designing for big data with Amazon DynamoDB Hands-on lab: Build a failover solution with Amazon Route 53 and Amazon RDS Module 5: Designing for large scale applications AWS Auto Scaling Migrating over-provisioned resources Blue-green deployments on AWS Hands-on lab: Blue-green deployment with AWS Module 6: Building resilient architectures DDoS attack overview AWS Shield AWS WAF Amazon GuardDuty High availability using Microsoft SQL Server and Microsoft SharePoint on AWS High availability using MongoDB on Amazon EC2 AWS Global Accelerator Hands-on lab: CloudFront content delivery and automating AWS WAF rules Module 7: Encryption and data security Encryption primer DIY key management in AWS AWS Marketplace for encryption products AWS Key Management Service (AWS KMS) Cloud Hardware Security Module (HSM) Comparison of key management options Hands-on lab: AWS KMS with envelope encryption

Let's use ChatGPT to build a pairs trading bot in Python and understand pairs, algorithmic, algo-trading, and stock trading strategies. Compute z-scores, log, cumulative, and portfolio returns. Apply data science strategies to financial analysis and trading strategies for stocks, forex, cryptocurrencies, Bitcoin, Ethereum, and altcoins.

Develop true Digital Marketing Strategy expertise with DMI Specialist. Learn digital communications, analytics, marketing automation and budget & strategy formulation from Industry Skills Experts. Course Overview This dynamic online Diploma in Digital Strategy & Planning course covering topics in digital communications, analytics, marketing automation and budget & strategy formulation giving you the skills, know-how, strategy and techniques to be that change. Here is power. The power to influence. To speak to billions of people. Specialization is for when you don’t just want to play the digital marketing game anymore, you want to drive it. To change it. the DMI SPECIALIST online Digital Strategy and Planning certification is perfect for you to become an online digital marketer. Become a member and connect to the industry and white-hot opportunities. Here is power. The power to influence. To speak to billions of people. What’s New? Develop true Digital Marketing Strategy expertise with DMI Specialist. Learn digital communications, analytics, marketing automation and budget & strategy formulation from Industry Skills Experts. Learn every aspect of Digital Marketing Strategy across 9 modules of interactive learning to give you a highly relevant and deep knowledge of digital strategy, all wrapped up with the world’s most recognized digital marketing certification on completion. Program learning outcomes and content: WHAT WILL I LEARN? We give you the thinking and tools to become a leading player on the digital stage. Create powerful and dynamic digital strategy. See it manifest into real world, business-changing action. The modules are building blocks – of knowledge, of your vision, of the leading Certified Digital Marketing Specialist – Digital Strategy & Planning that is you. Here is what you need to know. Course Content: Introduction: We bring science to thought. We have created the 3i Framework which is designed to help you select the best digital strategy for your organisation and make it happen. The 3i is smart and rigorous. It’s transformative. And you shall be impressed. This module introduces this nifty piece of brainwork. Later modules expand on it. • The fundamental concepts underpinning the DMI 3i Methodology. • The how-to’s of business strategy development. • Key components in an effective digital strategy. • Strategic management, a long-sighted look at lasting, growing success Traditional Communications: In this model, we explore how the marketing classics still anchor any campaign – yet the contemporary digital campaign is a far more fantastical vessel. We look deep into how our tech is changing the consumer experience, and how we must respond. Digital Communications: We are living through extraordinary times. The opportunities are as big, sprawling and diverse as the World Wide Web. The challenge too is bigger. Markets are sophisticated and fragmented. Now, more than ever, thy most know thy consumer (and thy digital channels). Here we look at: the fundamentals of digital communications planning, improving ROI, understanding your audience. Where can they be found? How to engage them? Budgeting for your digital strategy and effective resources reviewing, measuring, and analysing your digital strategy. Digital Channels: Facebook, Linkedin, Instagram, Twitter, Snapchat and so on. They multiply and they proliferate. Yet in this great distraction and fragmentation, there is also great opportunity. This module covers: inbound and outbound strategies, cross media planning, the digital channel mix, and mobile marketing social media marketing. Content marketing that is relevant, timely and riveting the what, how and why of search engine marketing email marketing, affiliate marketing, and marketing automation display and video advertising best practice. Because we have eyes to see. Marketing Automation: Automation doesn’t beat inspiration but it sure makes a marketeer’s life easier and more exciting. Here is superpower, working quieting and perfectly under your orders, night and day. See how smart businesses are sharpening their edge with CRM software for better sales enablement, lead nurturing and way more. Budget & Resourcing: Money makes marketing go round. But value is where it’s at. This model goes deep on how to hit max ROI for any given budget. Then some consideration for that other precious resource, human talent. Explore: • Key factors to consider when planning a marketing budget. • Setting that marketing budget. • How to monitor and optimize a budget during campaign, execution. • The human element. • Recruit, train and keep top people. Big Data & Analytics: The Big Data & Analytics module will provide you with a broad understanding of Big Data, Advanced Analytics and Artificial Intelligence. You will learn the fundamental frameworks and understand how cutting-edge analytics tools are being used to help businesses succeed wildly. Digital Leadership: We are living in extraordinary times, which call for extraordinary leaders. That means you. You shall lead the transition from the remnants of traditional marketing and into the brave, new digital marketing world which you are helping to invent. And you shall lead with razor-sharp thought and strategy. You shall take your brand and your organisation to places yet undreamed of. Strategy Formulation & Plan: By now, you’ll have come a long way. You are (almost) ready to go forth, carve out new and unexplored neural pathways and digital markets. You are standing on the very edge of the leading-edge, and you are just about ready to spread those new digital super-wings and soar. But first, the ultimate strategy module; the ultimate in strategy. DURATION 8-10 Weeks WHATS INCLUDED Course Material Case Study Experienced Lecturer Refreshments Certificate

Description Data Science Diploma Introducing the Data Science Diploma, an online course tailored for those eager to step into the dynamic world of data science. This comprehensive programme ensures participants grasp the essence of contemporary data science techniques, tools, and theories. At the core of this Data Science Diploma is the module titled Foundations of Data Science. It sets the groundwork by instilling fundamental principles, thereby preparing learners to navigate the expansive sea of data efficiently and effectively. As one progresses, the intricate elements of Data Engineering and Big Data come into play, elucidating how vast amounts of data are managed, stored, and processed. An essential aspect of data science lies in understanding uncertainty and making informed decisions. To this end, Probability and Statistics in Data Science offers learners the tools to decipher patterns, predict trends, and make data-driven decisions. Following closely, Clustering and Classification Techniques provide a deep understanding of how to categorise data into specific groups based on inherent characteristics, paving the way for more precise analysis. But what's data science without the necessary mathematical prowess? The Advanced Mathematical Modeling module hones this skill, enabling learners to craft intricate models that can simulate real-world scenarios. Such models act as the backbone of various data analyses and offer a detailed understanding of the underlying processes. The saying, 'A picture is worth a thousand words,' holds especially true in data science. With the Data Visualisation Principles and Design module, learners are equipped with the knowledge to translate complex data into visually compelling stories. This understanding is further solidified with the Web-Based Data Visualisation Tools, offering hands-on experience in using cutting-edge tools to portray data visually. The course recognises the growing demand for intuitive dashboards that provide real-time insights. The Dashboard Design and Mapping module aids participants in creating interactive and user-friendly dashboards, ensuring stakeholders get a clear and concise view of the data. Yet, as one manoeuvres through these diverse modules, a foundational understanding of computing becomes paramount. Hence, Computing for Data Science takes centre stage, familiarising learners with the computational aspects of data analysis, from algorithms to data structures. Concluding the Data Science Diploma is the module on Domain-Specific Data Science Applications. This segment offers a glimpse into how data science principles are applied across different sectors, from healthcare to finance. It accentuates the versatility of data science, proving its indispensable nature in today's digitised world. To sum up, this online Data Science Diploma ensures a holistic understanding of data science. By intertwining theory with practical application, it equips learners with the skill set required to thrive in the data-driven industries of tomorrow. So, if the realm of data beckons you, this diploma is your gateway to excellence. What you will learn 1:Foundations of Data Science 2:Data Engineering and Big Data 3:Probability and Statistics in Data Science 4:Clustering and Classification Techniques 5:Advanced Mathematical Modeling 6:Data Visualisation Principles and Design 7:Web-Based Data Visualisation Tools 8:Dashboard Design and Mapping 9:Computing for Data Science 10:Domain-Specific Data Science Applications Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

If you want to learn Java and are an absolute beginner looking for a great course with zero experience in the programming arena, then this is the perfect Java course for you. The course is structured keeping in mind individuals with no experience and it starts from scratch with no prerequisites required.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

Duration 2 Days 12 CPD hours Overview Identify and configure basic functions of Tableau. Connect to data sources, import data into Tableau, and save Tableau files Create views and customize data in visualizations. Manage, sort, and group data. Save and share data sources and workbooks. Filter data in views. Customize visualizations with annotations, highlights, and advanced features. Create and enhance dashboards in Tableau. Create and enhance stories in Tableau As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets?. Lesson 1: Tableau Fundamentals Topic A: Overview of Tableau Topic B: Navigate and Configure Tableau Lesson 2: Connecting to and Preparing Data Topic A: Connect to Data Topic B: Build a Data Model Topic C: Save Workbook Files Topic D: Prepare Data for Analysis Lesson 3: Exploring Data Topic A: Create Views Topic B: Customize Data in Visualizations Lesson 4: Managing, Sorting, and Grouping Data Topic A: Adjust Fields Topic B: Sort Data Topic C: Group Data Lesson 5: Saving, Publishing, and Sharing Data Topic A: Save Data Sources Topic B: Publish Data Sources and Visualizations Topic C: Share Workbooks for Collaboration Lesson 6: Filtering Data Topic A: Configure Worksheet Filters Topic B: Apply Advanced Filter Options Topic C: Create Interactive Filters Lesson 7: Customizing Visualizations Topic A: Format and Annotate Views Topic B: Emphasize Data in Visualizations Topic C: Create Animated Workbooks Topic D: Best Practices for Visual Design Lesson 8: Creating Dashboards in Tableau Topic A: Create Dashboards Topic B: Enhance Dashboards with Actions Topic C: Create Mobile Dashboards Lesson 9: Creating Stories in Tableau Topic A: Create Stories Topic B: Enhance Stories with Tooltips

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step