572 Courses

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Master Google Ads strategies to boost your business. Learn advanced concepts, testing, auditing, automation, and AI. Begin now!

Learn to apply sentiment analysis to your problems through a practical, real-world use case.

🚀 Unleash Your Potential with the Information Enterprise Launchpad Course! 🚀 Are you ready to soar to new heights in the digital landscape? Introducing the Information Enterprise Launchpad, your ultimate guide to transforming information into success! 🌐   In today's fast-paced world, information is power. Imagine having the skills and knowledge to harness that power and turn it into a thriving enterprise. Whether you're a seasoned entrepreneur or a budding business enthusiast, this course is designed to propel you forward.   Key Features: Strategic Information Management: Learn to sift through the digital noise and extract valuable insights that can shape your business strategy. We'll guide you through the art of data analysis and interpretation. Innovative Business Models: Discover cutting-edge business models that leverage information as a core asset. From data monetization to creating a digital ecosystem, we'll explore diverse approaches that fit your unique vision. Digital Marketing Mastery: Gain a competitive edge in the digital landscape with our in-depth digital marketing modules. Learn to optimize your online presence, create compelling content, and engage with your audience effectively. Technology Integration: Stay ahead of the curve by understanding how to integrate the latest technologies into your enterprise. From AI and machine learning to blockchain, we'll demystify complex concepts and show you practical applications. Entrepreneurial Mindset Development: Cultivate the mindset of a successful entrepreneur. Overcome challenges, embrace innovation, and develop resilience in the face of uncertainty. Expert-Led Sessions: Benefit from insights shared by industry experts and successful entrepreneurs who have mastered the art of leveraging information for business growth.   What You'll Gain: ✅ Actionable Strategies: Walk away with actionable strategies that you can implement immediately to enhance your business. ✅ Networking Opportunities: Connect with like-minded individuals and industry experts through our exclusive community forums and networking events. ✅ Lifetime Access: Enjoy lifetime access to course materials and updates, ensuring that you stay at the forefront of the ever-evolving digital landscape. ✅ Certificate of Completion: Receive a prestigious certificate upon successfully completing the course, showcasing your expertise in information enterprise.   Don't miss your chance to revolutionize your approach to business in the digital age. The Information Enterprise Launchpad is your ticket to success!   🔥 Enroll now and embark on a journey to transform information into enterprise excellence! 🔥 Course Curriculum

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Learn to Master Google Analytics in No Time! bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 40 course mega bundle that will exceed your expectations within your budget. The Learn to Master Google Analytics in No Time! related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Learn to Master Google Analytics in No Time! bundle will help you build a solid foundation to become a proficient worker in the sector. This Learn to Master Google Analytics in No Time! Bundle consists of the following 30 CPD Accredited Premium courses - Course 1: Google Data Studio: Data Analytics Course 2: Diploma in Data Analysis Fundamentals Course 3: Learn How To Optimize Your Google My Business Page In 2016 Course 4: How To Do Keyword Research For SEO & Ranking On Google Course 5: Excel Pivot Tables for Data Reporting Course 6: Research Methods in Business Course 7: Business Intelligence and Data Mining Course 8: Marketing Strategies for Business Course 9: Strategic Planning and Analysis for Marketing Course 10: Digital Marketing for Beginners to Advanced Course 11: Digital Marketing Starting an online E-Commerce Store Course 12: Microsoft Power BI - Master Power BI in 90 Minutes! Course 13: PowerBI Formulas Course 14: Statistical Analysis Course 15: Social Media Marketing-The Step by Step Guide Course 16: Create Your First Responsive Website Course 17: Complete Online Marketing & Advertising Course Course 18: Ultimate Social Media Marketing course Course 19: Python Course Course 20: Data Science & Machine Learning with Python Course 21: Basics of WordPress: Create Unlimited Websites Course 22: The Ultimate SEO Blueprint - Easily Ranking #1 On Google Course 23: Quick Data Science Approach from Scratch Course 24: Fundamentals of Business Analysis Course 25: Excel Data Analysis Course 26: Complete Communication Skills Master Class for Life Course 27: Public Speaking Course 28: Minute Taking Executive Training Course 29: Receptionist Skills Course 30: Time Management Training - Online Course 10 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 1: Career Development Plan Fundamentals Course 2: CV Writing and Job Searching Course 3: Interview Skills: Ace the Interview Course 4: Video Job Interview for Job Seekers Course 5: Create a Professional LinkedIn Profile Course 6: Business English Perfection Course Course 7: Networking Skills for Personal Success Course 8: Boost Your Confidence and Self-Esteem Course 9: Public Speaking Training Course 10: Learn to Fight Procrastination Learning Outcome This tailor-made Learn to Master Google Analytics in No Time! bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Learn to Master Google Analytics in No Time! Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 400 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Learn to Master Google Analytics in No Time! bundle! This bundle is also ideal for professionals looking for career advancement. Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Learn to Master Google Analytics in No Time! Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

Build next-gen programming skills using RxJava 3.0 and Reactive Streams

This course for absolute beginners provides you with the opportunity to systematically learn core statistical and probability concepts, descriptive statistics, hypothesis testing, regression analysis, analysis of variance (ANOVA), and advanced regression/ML methods such as logistics regressions, polynomial regressions, decision trees, and more.

Data Ethics for Business Professionals is designed for individuals who are seeking to demonstrate an understanding of the ethical uses of data in business settings.

Duration 1 Days 6 CPD hours This course is intended for Individuals planning to deploy applications and create application environments on Google Cloud. Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services. Describe ways in which customers have used Google Cloud. Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine. Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore. Make basic use of BigQuery, Google's managed data warehouse for analytics. This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies. Introducing Google Cloud Platform Explain the advantages of Google Cloud Platform. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Platform Identify the purpose of projects on Google Cloud Platform. Understand the purpose of and use cases for Identity and Access Management. List the methods of interacting with Google Cloud Platform. Lab: Getting Started with Google Cloud Platform. Google Compute Engine and Networking Identify the purpose of and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Lab: Deploying Applications Using Google Compute Engine. Google Cloud Platform Storage Options Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable. Learn how to choose between the various storage options on Google Cloud Platform. Lab: Integrating Applications with Google Cloud Storage. Google Container Engine Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Introduction to Hybrid and Multi-Cloud computing (Anthos). Lab: Deploying Applications Using Google Container Engine. Google App Engine and Google Cloud Datastore Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand the purpose of and use cases for Google Cloud Endpoints. Lab: Deploying Applications Using App Engine and Cloud Datastore. Deployment and Monitoring Understand the purpose of template-based creation and management of resources. Understand the purpose of integrated monitoring, alerting, and debugging. Lab: Getting Started with Stackdriver and Deployment Manager. Big Data and Machine Learning Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Lab: Getting Started with BigQuery. Summary and Review Summary and Review. What's Next?.