Enhance your skills in formatting, printing, and generating reports using Oracle Primavera Project Manager P6 PPM Professional Client. This intermediate-level course provides practical techniques to effectively manage projects and optimize your project management processes.
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Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice
Course Overview: The "CAD Designer Training" course provides a comprehensive introduction to the world of Computer-Aided Design (CAD). Learners will explore the core principles, tools, and techniques used in CAD software to create both 2D and 3D designs. The course covers fundamental topics such as shape creation, geometry, modelling, and assemblies, along with software introductions to AutoCAD, T-Flex, SolidWorks, and FreeCAD. By the end of this course, participants will have a solid understanding of CAD design and the technical skills necessary to pursue a career in design, engineering, or architecture. Course Description: This in-depth course is designed to equip learners with the essential skills for becoming proficient in CAD design. It covers a variety of important areas, including the basics of CAD design, 2D and 3D shape creation, geometry and modelling, and assembly techniques. Learners will gain an introduction to industry-standard software such as AutoCAD, T-Flex, SolidWorks, and FreeCAD, allowing them to explore multiple platforms used in the CAD design field. With modules covering extrusion, rotations, grids, polygons, and civil drawings, this course ensures learners develop a comprehensive understanding of the tools and techniques used by CAD professionals. It is an excellent foundation for anyone wishing to pursue a career in the design and engineering sectors. Course Modules: Module 01: Introduction to CAD Design Module 02: CAD Designer Career in the United Kingdom Module 03: Basics for CAD Design – Part 1 Module 04: Basics for CAD Design – Part 2 Module 05: 2D Shape in CAD Module 06: 3D Shape in CAD Module 07: Geometry and Modelling Module 08: Assemblies in CAD Design Module 09: Extrusion and Rotations Module 10: Blending Operations in CAD Module 11: Grids and Regular Polygons Module 12: Parameters in Civil Drawings Module 13: Introduction to AutoCAD Module 14: Introduction to T-Flex CAD Module 15: Introduction to SolidWorks Module 16: Introduction to FreeCAD (See full curriculum) Who is this course for? Individuals seeking to build a career in design and engineering. Professionals aiming to develop their CAD design skills. Beginners with an interest in CAD software and design. Those pursuing opportunities in the construction, architecture, or manufacturing industries. Career Path: CAD Designer 3D Modeler Architectural Drafter Mechanical Designer Civil Drafter Product Designer Engineering Assistant Design Consultant
[vc_row][vc_column][vc_column_text] Description: This Python Basic to Advanced for Data Science Online Course is a great way to get started in programming. It covers the study of the Python language used to build most of the world's object-oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. This Python Basic to Advanced for Data Science Online Course is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! 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. Certification: After completing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. 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; 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 After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Python 3 Beginners Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Python 3 Intermediate Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Python 3 Advanced Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Are you ready to lead the future? Learn key leadership soft skills to stay one step ahead of today's fast-paced, tech-driven world. Dive into this exciting self-paced course packed with real-world examples and insights.
Overview Understand the role of corporate structure, dividends and equity indices in equity markets. Become familiar with the building blocks of repos / stock lending, futures and forwards – and how to use these products. Understand how to price, and risk manage equity swaps and dividend swaps. Gain experience in their uses in trading, corporate finance and portfolio management. Learn how to price equity options and the features that make them different from other asset classes, explore how to use these products for taking equity risk, yield enhancement and portfolio protection. Understand strategies designed to trade / hedge volatility using options. Who the course is for Risk management Finance Sales and trading Treasury Technology Financial Engineering Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now
Uncover Earth's Secrets with Our Geology Course ð Are you ready to embark on an exciting journey deep into the heart of our planet? Look no further than our comprehensive Geology course! ðï¸ Delve into the mysteries of Earth's formation, its dynamic processes, and the incredible forces that shape our world every day. Why Choose Our Geology Course? ð Explore the Wonders of the Earth: Geology isn't just about rocks and minerals-it's a captivating study of the Earth's history, its landscapes, and the fascinating stories written in its layers. ð Discover Hidden Treasures: Uncover the secrets hidden beneath the surface as you learn about the forces of erosion, tectonic plate movements, volcanic activity, and so much more. ð Expert Guidance: Our course is crafted by seasoned geologists and educators who are passionate about sharing their knowledge and expertise with you. Get ready for an immersive learning experience! ð Hands-on Learning: From field trips to virtual simulations, our course offers hands-on experiences that bring geology to life. Whether you're studying the formation of mountains or examining fossils, you'll have the opportunity to get up close and personal with Earth's wonders. ð¡ Practical Applications: Geology isn't just an academic pursuit-it's a field with real-world applications. Gain insights into how geological knowledge is used in industries such as mining, environmental conservation, and natural resource management. Who is this for? Our Geology course is perfect for: Students: Whether you're studying earth sciences, geography, or simply have a passion for understanding the world around you, our course will deepen your understanding of the Earth's processes. Professionals: Are you working in fields such as environmental science, civil engineering, or resource exploration? Our Geology course provides valuable insights that can enhance your expertise and career prospects. Curious Minds: If you've ever looked at a mountain or a rock formation and wondered about its story, this course is for you! Geology is a fascinating subject that appeals to anyone with a sense of curiosity about the natural world. Career Path A Geology course opens doors to a wide range of exciting career opportunities, including: ðï¸ Environmental Consultant: Help businesses and organizations navigate environmental regulations and assess the impact of human activities on natural landscapes. ï¸ Geologist: Work in fields such as mineral exploration, oil and gas extraction, or geological surveys, contributing to our understanding of Earth's resources and structures. ð¿ Environmental Scientist: Study the interactions between human activities and the natural environment, working to protect ecosystems and promote sustainability. ð Park Ranger: Combine your love of the outdoors with your knowledge of geology by working in national parks or protected areas, educating visitors and preserving natural landscapes. ð Data Analyst: Analyze geological data to identify patterns, trends, and potential risks, contributing to informed decision-making in various industries. FAQ Q: Is this course suitable for beginners? A: Absolutely! Our Geology course is designed to accommodate learners of all levels, from beginners to advanced students. Our instructors provide clear explanations and support to help you grasp the fundamentals of geology. Q: What materials do I need for this course? A: All you need is a curious mind and a passion for exploring the natural world! While specific materials may vary depending on the course format, we'll provide you with everything you need to succeed, whether it's textbooks, online resources, or field trip equipment. Q: Can I take this course online? A: Yes! Our Geology course offers both in-person and online learning options to accommodate your schedule and preferences. Experience the thrill of discovery from the comfort of your own home or join us in the field for hands-on exploration-it's up to you! Q: Will this course help me find a job in the field of geology? A: While completion of our Geology course is not a guarantee of employment, it provides valuable knowledge and skills that can enhance your career prospects in geology-related fields. Networking opportunities, practical experience, and a solid understanding of geological principles can help you stand out to potential employers. Enroll Today and Uncover the Secrets of the Earth! Don't miss out on the opportunity to explore the wonders of geology and gain a deeper appreciation for the world beneath your feet. Enroll in our Geology course today and embark on a journey of discovery that will expand your horizons and ignite your passion for the natural world! ð Course Curriculum Module 1 Introduction to Geology. Introduction to Geology. 00:00 Module 2 Earths Structure and Plate Tectonics. Earth_s Structure and Plate Tectonics. 00:00 Module 3 Surface Processes and Landscape Evolution. Surface Processes and Landscape Evolution. 00:00 Module 4 Earths Interior and Geophysical Processes. Earth_s Interior and Geophysical Processes. 00:00 Module 5 Earth Materials and Minerals. Earth Materials and Minerals. 00:00 Module 6 Geological Time and Earth_s History. Geological Time and Earth_s History. 00:00
ð Unlock the Power of Data with Our Machine Learning Course! ð¤ Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. ð Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. ð¡ Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. ð What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. ð Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. ð Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. ð¼ FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. ð⨠Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00
Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course are as follows: Technical professionals, including system engineers, technical support personnel, channel partners, and resellers, who need to know how to deploy Cisco ASR 9000 Series routers in their network environment Overview Upon completing this course, the learner will be able to meet these overall objectives: Major features and benefits of a Cisco ASR 9000 Series router Major features and benefits of the Cisco IOS XR Software operating system Data flow through the Cisco ASR 9000 Series router Configure the Cisco ASR 9000, back out of configuration changes, and restore older versions of the configuration Install the Cisco IOS XR operating system, package information envelopes (PIEs), and software maintenance updates (SMUs) Enable multicast routing on a Cisco ASR 9000 Series router Configure Multiprotocol Label Switch-Traffic Engineering (MPLS-TE) on a Cisco ASR 9000 Series router Configure Layer 3 VPN services Configure Ethernet link bundles Configure local E-Line L2VPN Configure Ethernet over MPLS E-Line L2VPN Configure EoMPLS with pseudowire backup Configure local E-LAN L2VPN Configure link-based Ethernet operations, administration, and maintenance (E-OAM) Configure virtual private LAN service (VPLS) L2VPN Configure VPLS with Border Gateway Protocol (BGP) autodiscover Configure service-based connectivity fault management (CFM) Multiple Spanning Tree-Access Gateway (MST-AG) Configure Layer 2 multicast features Basic QoS implementation How to configure and verify network virtualization (nV) on the ASR 9000 series In this 4-day course, Cisco Aggregation Services Router 9000 Series Essentials (ASR9KE), you will learn about the features and functions of the Cisco ASR 9000 Series platforms. Through a combination of lecture and hands-on labs, you will gain an understanding of all major aspects of the platform, including hardware; software; Layer 2 and Layer 3 services; Layer 2 and Layer 3 multicast; operations, administration, and management (OAM); quality of service (QoS) features; and network virtualization. Course Outline Introduction to the Cisco ASR 9000 Aggregation Series Cisco ASR 9000 Hardware Cisco IOS XR Software Overview Cisco IOS XR Software Basics Cisco IOS XR Software Installation Cisco IOS XR Software Operations Cisco IOS XR Routing Protocols Layer 3 Multicast Cisco IOS XR MPLS Cisco IOS XR Layer 3 VPN Cisco ASR 9000 Layer 2 Architecture Cisco ASR 9000 Point-to-Point Layer 2 Services Cisco ASR 9000 Multipoint Layer 2 Services Cisco ASR 9000 Operations, Administration, and Maintenance Cisco ASR 9000 Layer 2 Multicast Cisco ASR 9000 QoS Cisco ASR 9000 Network Virtualization Additional course details: Nexus Humans Cisco ASR 9000 Aggregation Services Router Series Essentials v6.1 (ASR9KE) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco ASR 9000 Aggregation Services Router Series Essentials v6.1 (ASR9KE) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.