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This course covers the Django web framework from the beginning and also covers advanced Django features. Besides Django, the course also covers HTML, CSS, and Bootstrap, which will introduce full-stack development with Django so that you can build complete web apps from scratch. Learn to develop your own web applications with the help of this course.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Process Architects, and Business Process Owners/Team Leads/Power Users. Overview This course will prepare you to:Describe tasks performed by a typical SAP Access Control userDiscuss Harmonization topics as they relate to SAP Access ControlExplain how SAP GRC helps you to address business challengesIdentify authorization risks in typical business processesDescribe the Segregation of Duties Risk Management ProcessDescribe and configure functionality and features for SAP Access Control 10.1Use the SAP Access Control 10.1 application to analyze and manage risk, design and manage roles, and provision and manage usersDescribe the SAP Access Control 10.1 architecture and landscape, SAP Access Control Repository, and Object Level SecurityDescribe the Periodic Access Review processPlan for and manage emergency accessDiscuss the reporting frameworkConfigure workflows, including multi-stage multi-path (MSMP) workflows and BRF+Describe how the different applications of the SAP GRC Solution integrate with each otherDiscuss key steps in the SAP Access Control implementation process In this course, students gain hands-on configuration and implementation experience of SAP Access Control 10.1, as well as important concepts they will need to know in order to prepare for implementation and ongoing access risk prevention. Introduction to SAP Access Control Discussing Business Challenges and Solutions Using SAP Access Control Architecture, Security, and Authorizations Describing the System Architecture Describing Security and Authorizations Shared Configuration Settings Configuring Shared GRC Settings Configuring Shared SAP Access Control Settings Authorization Risks and the Segregation of Duties (SoD) Management Process Identifying Authorization Risks Managing Risk by Segregating Duties SAP Access Control Repository Synchronizing Objects into the Repository Scheduling and Viewing Background Jobs Risk Analysis Maintaining Shared Master Data Configuring and Maintaining the Rule Set Configuring and Using Audit Trail Tracking Using the Risk Analysis Framework Remediating Risks Mitigating Risks Mitigating Multiple Risks at One Time Business Rule Framework Creating Rules in the Business Rule Framework (BRF) Defining Business Rules Multi-Stage, Multi-Path (MSMP) Workflow Describing Multi-Stage, Multi-Path (MSMP) Workflow Maintaining MSMP Workflow Building MSMP Workflow User Provisioning Configuring User Provisioning Settings Configuring Access Request Forms Requesting Access Preparing Roles and Owner Data for MSMP Workflow Creating Simplified Access Requests Reviewing Search Request Results SAP Fiori User Experience (UX) for GRC Describing SAP Fiori UX Role Design and Management Configuring Role Management Configuring Role Methodology Configuring Role Search Attributes Planning for Technical Role Definition Planning for Business Role Definition Consolidating Roles Through Role Mining Performing Role Mass Maintenance Operations Emergency Access Management Describing Emergency Access Management Planning for Emergency Access Monitoring Emergency Access Periodic Access Review Process Planning Periodic Review Monitoring Periodic Review Reports and Custom Fields Use the Reporting Framework SAP Access Control Implementation Using the SAP Access Control Implementation Process Designing the SAP Access Control Solution Planning Upgrade and Migration Configuring SAP Access Control Implementing the SAP Access Control solution Optimizing the SAP Access Control Suite Additional course details: Nexus Humans GRC300 SAP Access Control Implementation and Configuration 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 GRC300 SAP Access Control Implementation and Configuration 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.

Course Overview: Geology, the study of Earth's structure, history, and processes, is a field of immense significance and awe-inspiring discoveries. If you're seeking a comprehensive understanding of our planet's fascinating geologic features and want to explore the secrets hidden beneath its surface, the Ultimate Geology Course is your pathway to mastery. With an extensive curriculum meticulously designed by experts in the field, this course will take you on an enlightening journey through the captivating realms of geology. Geology is not just an academic pursuit; it's a subject that holds immense practical importance. According to recent data, the demand for skilled geologists is rising, with a projected job growth of 14% in the next decade. By delving into the Ultimate Geology Course, you will equip yourself with the knowledge and skills necessary to unlock a world of opportunities in various industries. Key Features of the Course: CPD certificate 24/7 Learning Assistance Interesting learning materials Who is This Course For? The Ultimate Geology Course is ideal for aspiring geologists, students, professionals seeking a career change, or anyone interested in understanding the Earth's dynamic processes. No prior knowledge or experience in geology is required, making this course accessible to beginners and enthusiasts alike. What You Will Learn: In this Ultimate Geology Course course, you will embark on an incredible journey through many aspects of geology. From the solar system's formation to the geological processes shaping our landscapes, you will gain a comprehensive understanding of the Earth's internal structure, plate tectonics, erosion, sedimentation, volcanoes, and much more. After studying the scientific method and the principles of relative and numerical dating, you will unlock the secrets of Earth's vast history, exploring the evolution of life through fossils and the geologic time scale. Moreover, you will gain valuable skills in mineral identification, rock classification, and geological mapping, empowering you to analyse and interpret Earth's complex features. Why Enrol in This Course: Geology is a highly sought-after field, and by acquiring comprehensive knowledge in this domain, you will enhance employability and open doors to diverse career paths. This Ultimate Geology Course has garnered rave reviews worldwide. Benefit from our instructors' collective wisdom and expertise, ensuring an enriching learning experience. The course content is regularly updated to incorporate the latest advancements and discoveries in geology. Requirements: There are no specific prerequisites to enrol in the Ultimate Geology Course. A passion for understanding the Earth's mysteries and a curious mindset are all you need to embark on this transformative learning journey. Career Path: Completing the Ultimate Geology Course is helpful for many exciting career opportunities. Here are seven course-related professions, along with their average annual salaries in the UK: Geologist - £45,000 Environmental Consultant - £35,000 Geotechnical Engineer - £40,000 Hydrologist - £42,000 Mining Engineer - £50,000 Palaeontology - £38,000 Volcanologist - £47,000 Certification: Upon completing the Ultimate Geology Course, you will receive a CPD certificate, recognised and respected globally. This certificate will validate your newfound expertise in geology and enhance your professional credibility in the field. Course Curriculum 17 sections • 80 lectures • 09:35:00 total length •Course Promo: 00:03:00 •Geology: 00:02:00 •Importance: 00:04:00 •Development: 00:09:00 •The Scientific Method: 00:05:00 •Solar System - OverView: 00:06:00 •The Sun: 00:07:00 •The Moon: 00:06:00 •Terrestrial Planets: 00:10:00 •Jovian Planets: 00:12:00 •Other Solar Bodies: 00:05:00 •Geologic Time - OverView: 00:02:00 •Relative Dating: 00:11:00 •Numerical Dating: 00:07:00 •Fossils: 00:11:00 •The Geologic Time Scale: 00:05:00 •Earth's Internal Structure: 00:11:00 •Exploration: 00:16:00 •Continental Drift: 00:10:00 •Modern Evidence: 00:11:00 •Earth's Major Plates: 00:13:00 •Motion Drivers: 00:05:00 •Motion Measurement: 00:04:00 •Continental Margins: 00:05:00 •Ocean Floor Features: 00:05:00 •Oceanic Crust Layers: 00:02:00 •Destruction of Oceanic Crust: 00:02:00 •Features of Subduction Zones: 00:03:00 •Mountains: 00:07:00 •Topography: 00:07:00 •Weathering - OverView: 00:04:00 •Mechanical Weathering: 00:08:00 •Chemical Weathering: 00:07:00 •Spheroidal Weathering: 00:02:00 •Soil: 00:11:00 •Deserts: 00:08:00 •Wind Erosion: 00:05:00 •Wind as a Transporter: 00:05:00 •Wind Deposits: 00:08:00 •Atom: 00:06:00 •Periodic Table: 00:05:00 •Bond-s: 00:07:00 •Minerals: 00:03:00 •Formation: 00:03:00 •Mineral Identification: 00:09:00 •Crystalline Habits: 00:35:00 •Sedimentary Rocks - OverView: 00:04:00 •Detrital Sedimentary Rocks: 00:03:00 •Grain History: 00:07:00 •Chemical Sedimentary Rocks: 00:04:00 •Coal: 00:06:00 •Sedimentary Rocks Identification Table: 00:05:00 •Sediments to Sedimentary Rocks: 00:05:00 •Sedimentary Structures: 00:06:00 •Metamorphism: 00:08:00 •Metamorphic Rocks: 00:04:00 •Metamorphic Drivers: 00:06:00 •Metamorphic Texture: 00:08:00 •Magma: 00:12:00 •Igneous Texture: 00:09:00 •Deformation: 00:09:00 •Deformation Stages: 00:08:00 •Folds: 00:08:00 •Faults & Joints: 00:14:00 •Volcanoes - OverView: 00:04:00 •Volcanic Eruptions: 00:07:00 •Extruded Material: 00:14:00 •Volcanic Landforms: 00:09:00 •Volcanic Hazards: 00:08:00 •Mass Wasting - OverView: 00:05:00 •Types: 00:07:00 •Triggers: 00:04:00 •Surface Water - Overview: 00:05:00 •Hydrologic Cycle: 00:08:00 •Running Water: 00:12:00 •Flow: 00:08:00 •Channels: 00:10:00 •Depositional Landforms: 00:07:00 •Floods: 00:09:00 •Resource - Ultimate Geology Course: 00:00:00

Flat Discount: 52% OFF! QLS Endorsed| 40 Courses Diploma| 400 CPD Points| Free PDF+Transcript Certificate| Lifetime Access

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis