47 Data Quality courses delivered Online

Data is the lifeblood of any business, and data administrators are responsible for ensuring that it is accurate, secure, and accessible. With the rise of big data, the demand for skilled data administrators in the UK is skyrocketing, with an impressive growth rate of 15% in job demand over the past year alone. What's more, professionals in this domain command handsome salaries, ranging between £50,000 to £85,000 annually. If you're interested in a career in data administration, or if you're looking to advance your existing career, our Data Administration Processes course is the perfect place to start. This comprehensive course will teach you everything you need to know about data administration, from the basics of data modeling and database design to more advanced topics such as data security and disaster recovery. Embracing this course can be a pivotal stepping stone in solidifying your career as a top-tier data administrator. Why would you choose the Data Administration Processes course from Compliance Central: Lifetime access to Data Administration Processes course materials Full tutor support is available from Monday to Friday with the Data Administration Processes course Learn Data Administration Processes skills at your own pace from the comfort of your home Gain a complete understanding of Data Administration Processes course Accessible, informative Data Administration Processes learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Data Administration Processes Study Data Administration Processes in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Data Administration Processes Course Data Administration Processes Curriculum Breakdown of the Data Administration Processes Course Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Data Administration Processes Course Learning Outcomes: Grasp foundational principles of data administration processes. Analyse and interpret various data visualisation tools. Understand and implement effective performance measurement structures. Recognize and address data variations strategically. Employ techniques to drive improvement through data. Present performance data with clarity and precision. Apply theoretical knowledge in real-world scenarios. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Administration Processes course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Data Administration Processes. It is also great for professionals who are already working in Data Administration Processes and want to get promoted at work. Requirements To enrol in this Data Administration Processes course, all you need is a basic understanding of the English Language and an internet connection. Career path The Data Administration Processes course will enhance your knowledge and improve your confidence. Data Analyst: £25,000 to £60,000 per year Data Entry Specialist: £18,000 to £30,000 per year Database Administrator: £30,000 to £65,000 per year Data Quality Manager: £35,000 to £70,000 per year Business Intelligence Analyst: £30,000 to £60,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

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Duration 4 Days 24 CPD hours This course is intended for This course is for consultants, project team members, and administrators who want to learn how to implement data provisioning and data transformation for their SAP HANA project. In this course, students will learn the essential techniques and tools of data provisioning and data transformation for SAP HANA. This course will help students identify the most effective data provisioning solutions for their SAP HANA project. Course Outline Trigger-based replication with SAP Landscape Transformation ETL based data provisioning using SAP Data Services Connecting SAP HANA to data sources using SAP HANA Smart Data Access Real-time data loading using Smart Data Streaming ETL based loading using Smart Data Integration and Smart Data Quality SAP HANA Direct Extractor Connection Fundamentals of SAP Replication Server Additional course details: Nexus Humans HA350 SAP HANA - Data Management 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 HA350 SAP HANA - Data Management 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.

Duration 1 Days 6 CPD hours This course is intended for This class is designed for administrators preparing to take the Salesforce Marketing Cloud Administrator exam who are able to configure Marketing Cloud products using industry and product best practices. You should be generally familiar with data structure in subscriber data management. You should also be able to thoroughly navigate Setup, troubleshoot account configuration, and manage user requests. Overview When you complete this course, you will be able to: Recall exam objectives. Discuss product features and functionality covered on the exam. Assess your exam readiness by answering practice questions. Familiarize yourself with additional resources necessary to prepare for the exam. Take the next step in your career and become a Salesforce Certified Marketing Cloud Administrator. In this 1-day, expert-led certification prep class, boost your exam readiness with a detailed exam overview, exam resources, and practice exam questions to test your knowledge. This course includes a voucher to sit for the Salesforce Marketing Cloud Administrator exam. Course Outline Exam Overview Digital Marketing Proficiency Review Governance and Compliance in Relation to Digital Marketing Review Security Best Practices for Date, Permissions, and PII Review Marketing Cloud Product Inventory and Offerings Subscriber Data Management Review the Contact Model Review Data Quality Evaluation Review Preference and Profile Center Setup Review Business Units, Users, and Security Configuration Review Integrations Configuration Review Features in Setup Home Review Marketing Cloud Extension Products Channel Management Review Mobile Studio Configuration Review Email Studio Configuration Review Social Studio and Advertising Configuration Review Journey Builder Concepts and Use Cases Maintenance Review Data Extraction and Report Generation Solutions Review Monitoring and System Availability Review Additional Marketing Cloud Product Benefits Practice Exam and Wrap-up Complete a Practice Exam Review Next Steps

In today's competitive landscape, the imperative to enhance organisational performance has never been greater. At the heart of this quest lies the mastery of Quality Management Systems (QMS) and strategic training, essential for any entity aiming to outshine its competitors. Our 'Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7' course is meticulously crafted to arm participants with the knowledge and tools necessary to implement and manage an effective QMS. It intertwines the principles of Total Quality Management (TQM) with the nuances of managing a quality service, ensuring a holistic understanding that transcends traditional management practices. Through a deep dive into critical definitions, the course unfolds the fabric of quality management, elucidating the roles and responsibilities within a QMS. It adeptly covers the major changes in the field, incorporating the latest trends in financial data quality management and the strategic aspects of quality management systems. This course is not just about theory; it's an invitation to explore the practicalities of setting and achieving quality objectives, evaluating performance, and utilising helpful tools to ensure continuous improvement. Embarking on this journey, learners will uncover the qualities of a good manager and the strategic training necessary for excellence. The curriculum is designed to foster an environment where managing a quality service becomes second nature, preparing participants for a myriad of quality manager jobs. With a focus on the process approach and the context of the organisation, this course is a beacon for those seeking to elevate their career to new heights in quality management. Learning Outcomes: Understand the foundation and application of quality management systems and TQM principles within an organisation. Gain insights into effective strategies for managing a quality service and enhancing financial data quality management. Learn the essential qualities of a good manager and the role of strategic training in achieving organisational excellence. Master the process approach to QMS and how to set, achieve, and evaluate quality objectives effectively. Acquire the knowledge to navigate major changes in quality management and utilise helpful tools for continuous improvement. Why buy this Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 for? Individuals aspiring to pursue a career in quality management. Current managers seeking to enhance their strategic training and management skills. Professionals responsible for implementing and maintaining QMS in their organizatiorganisationsnterested in understanding the intricacies of ISO 9001 and its application. Learners aiming to acquire a comprehensive understanding of performance evaluation within QMS. Prerequisites This Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Quality Manager: £35,000 - £60,000 Per Annum QMS Specialist: £30,000 - £50,000 Per Annum Process Improvement Manager: £40,000 - £65,000 Per Annum Quality Assurance Director: £50,000 - £80,000 Per Annum Quality Systems Auditor: £25,000 - £45,000 Per Annum Strategic Quality Planner: £45,000 - £70,000 Per Annum Certification After studying the course materials of the Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Course Structure Course Structure 00:07:00 Critical Definitions What is Quality 00:02:00 What is ISO 00:08:00 What is a System - Management System 00:02:00 What is Policy - Quality Policy 00:06:00 What is Vision, Mission & Strategy 00:03:00 QA Vs QC 00:06:00 Effectiveness Vs Efficiency 00:06:00 Verification Vs Validation 00:11:00 Conformity Vs Nonconformity Vs Defect 00:04:00 Correction Vs Corrective Action Vs Preventive Action 00:08:00 Risk & Preventive Action 00:06:00 What is Competence 00:03:00 What is the Context of the Organization 00:05:00 Who are the Interested parties 00:03:00 What are the Needs & expectations 00:05:00 Management System Requirements 00:01:00 Who is a customer 00:02:00 What is Customer Satisfaction 00:06:00 Product Vs Service Vs Process 00:05:00 Document Vs Record 00:06:00 What is Customer Complaint 00:02:00 Measuring Vs Monitoring Vs Performance 00:02:00 Who is Responsible Who is Responsible 00:12:00 Responsibility Vs Accountability 00:02:00 Quality Management Principles Quality Management Principles 00:17:00 Major Changes ISO 9001:2015 Core Concepts 00:08:00 Major terminology Differences 00:04:00 Documented Information 00:07:00 Major changes - Organizational Knowledge 00:05:00 Major changes - Risk Based Thinking 00:06:00 Process Approach Process Approach Concept-1 00:04:00 What is PDCA 00:05:00 Process Approach Concept-2 00:03:00 Process Approach in ISO 9001:2015 00:04:00 Key Benefits 00:07:00 PDCA in ISO 9001 2015 00:10:00 Context of the Organization Understanding the Organization and its Context 00:08:00 Internal & External issues 00:03:00 SWOT Analysis 00:06:00 Interested Parties & their Needs & Expectations 00:03:00 KANO Model 00:10:00 Understanding the context - Summary 00:08:00 Choosing your Strategic Objective 00:05:00 Strategic Map Examples-1 00:03:00 Strategic Planning Process 00:06:00 What is a Vision 00:06:00 How to Create a Vision Statement 00:08:00 What is a Mission 00:06:00 SMART GOAL 00:06:00 SMART Goal Example 00:04:00 Strategic Map Examples-2 00:10:00 Context Chapter Summary 00:07:00 Quality Objectives Quality Objectives & Planning 00:05:00 ISO & SMART 00:02:00 Objectives Origin 00:06:00 Objectives Examples 00:07:00 Goal Vs Objective-1 00:07:00 Goal Vs Objective Example 00:02:00 Goal Vs Objective-2 00:10:00 Performance Evaluation Performance Evaluation in ISO 9001:2015 00:10:00 Customer Satisfaction 00:06:00 Analysis & Evaluation 00:12:00 Key Performance Indicators 00:08:00 Dashboard Examples 00:07:00 Management Review Meetings 00:11:00 Improvement 00:16:00 Nonconformity & Corrective Action 00:06:00 Nonconformity & Corrective Action Example 00:06:00 Nonconformity & Corrective Action Origin 00:06:00 Continual Improvement 00:01:00 Analysis Mindset 00:09:00 Quantitative Vs Qualitative 00:16:00 Now What Now What? 00:11:00 Course Summary 00:10:00 Helpful Tools SIPOC 00:06:00 Flowcharts 00:04:00 Control Charts 00:04:00 Cause and Effect Diagram 00:06:00 Pareto Chart 00:07:00 5 WHYs 00:03:00 Other Tools 00:08:00 Finally! 00:01:00 See you soon Bonus Lecture 00:02:00 Assignment Assignment - Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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.

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course are Application Consultants/Modelers and Project team members. Overview Get an overview of SAP HANA SPS09 and in-memory computing.Build an analytic data model with native HANA modeling tools.Understand the different approaches to provision data into SAP HANA.Learn how to connect to SAP HANA and consume HANA models. In this course, students get an overview of SAP HANA SPS09 and in-memory computing. Students will also gain an understanding of the different approaches to provision data into SAP HANA. Key concepts of SAP HANAWorking with SAP HANA StudioArchitecture of SAP in-memory computingModeling with SAP HANA Attribute Views Analytic Views Calculation Views Overview of data provisioning in SAP HANA with the tools Flat file upload SAP BusinessObjects Data Services SAP Landscape Transformation Replication Server SAP Replication Server SAP Direct Extractor Connection Smart Data Access Smart Data Integration / Smart Data Quality Smart Data Streaming SAP HANA Interfaces to BI client tools SAP BusinessObjects Analysis for Office SAP Design Studio SAP Lumira Additional course details: Nexus Humans HA100 SAP HANA - Introduction 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 HA100 SAP HANA - Introduction 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.

Duration 1 Days 6 CPD hours This course is intended for This course is ideal for any administrator with an interest in furthering the development of their Salesforce CRM administration, Sales and Service Cloud management, and process automation skills, and who ultimately wants to succeed at the Salesforce Certified Advanced Administrator exam. Overview When you complete this course, you will be able to:Configure data and application security.Describe Sales Cloud and Service Cloud applications.Implement business logic and process automation.Build advanced reports and dashboards.Apply data management best practices. This course will help hone your knowledge of of next-level techniques to administer and manage Salesforce?s CRM capabilities through guided scenarios, lecture, and discussion. Salesforce Security and Custom Objects Restricting and extending object, record, and field access Determining appropriate sharing solutions Territory Management Data relationships Automation, Change Management, and Auditing Process automation tools and best practices Change management options Sandboxes Deployment tools Auditing and monitoring Analytics and Data Management Creating reports Report types Dashboards Data quality features and policies Sales, Service, and Content Applications Products, price books, schedules and quotes Forecasting Salesforce Knowledge Entitlements Service Cloud console toolkit Content management Wrapping Test preparation Practice exam Additional course details: Nexus Humans Salesforce Certification Preparation for Advanced Administrator (CRT211) 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 Salesforce Certification Preparation for Advanced Administrator (CRT211) 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.

Duration 3 Days 18 CPD hours This course is intended for This class is ideal for business users - the people who need to learn what's possible with Salesforce functionality across the suite of products, but aren't necessarily responsible for managing the application. If you're a customer service manager, business executive, business operations manager, sales operations manager, or any other operations, management, or process analysis 'super user,' this class is just what you need to better understand the business value of the Salesforce Platform. Overview Describe the primary business value of each major Salesforce Cloud. Manage users and data. Manage basic org configuration. Create email templates. Create reports and dashboards. Apply and champion Chatter. Understand the Salesforce implementation and maintenance lifecycle. Extend Salesforce functionality beyond basic configuration. Explore what?s possible with Salesforce. In this 3-day class, our Salesforce experts will walk you through the Salesforce Platform, its specific applications, and their business values and benefits. Familiarize yourself with Salesforce Cloud, and learn about platform features and processes to more effectively support day-to-day Salesforce operations within your organization. Through interactive lectures, discussions, and hands-on exercises, you?ll recognize the core elements of the implementation lifecycle, the key considerations to drive user adoption, and the important components of ongoing management of your Salesforce environment. Introduction Understand How Salesforce Works Explore Salesforce Applications Review Salesforce Organization Data Access and Security Control Org Access Manage Who Views and Modifies Objects Unlock Access to Records Share Access to Records Lock Down Individual Fields User Management and Troubleshooting Create New Users Troubleshoot Login, Record Access, and Field Visibility Issues Salesforce Customizations Think About Your Implementation Explore Custom Fields, Picklists, Page Layouts, and Record Types Create Email Templates Business Processes Automation Review Validation Rules Review Assignment and Escalation Rules Review Web-to-Lead and Entitlements Review Lightning Process Builder and Workflow Review Approval Processes and Visual Workflow Reports Explore the Reports Tab, Folders, and Formats Explore the Report Builder Summarize Your Data Dashboards and Data Insights Get More Insight from Your Data Visualize Your Data with Dashboards Create Your Analytics Strategy Everyday Salesforce Collaborate with Chatter, Groups, and Communities Share Feedback with Chatter Answers and Ideas Go Mobile with Salesforce1 Make Salesforce Part of Your Day Data Management Create a Data Migration Strategy Ensure Data Quality Extending Salesforce Drive a Salesforce Implementation Customize Salesforce Using Custom Objects, Apps, and the Salesforce AppExchange Build It Yourself Wrap-up and Certification Review the Certification Process and Resources

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client