Building and Scaling a Data Science Culture As your data and AI teams scale from one to thousands of employees, you will encounter roadblocks along the way. From handling messy data to productionization and customer adoption, these obstacles can delay or even derail otherwise strong teams. Drawing on experiences gleaned from hundreds of clients, Michael Li presents a framework that successful companies have embraced to build and scale their data teams. The talk goes over how organizations progress along three maturity curves: Analytical, Operational, and Organizational. As enterprises strive to move along each of these maturity curves, they must solve various organizational challenges and develop new capabilities and skills in order to become data-driven organizations. We will provide key takeaways for managers and executives for each step of the maturity curves. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.
Building and Scaling a Data Science Culture As your data and AI teams scale from one to thousands of employees, you will encounter roadblocks along the way. From handling messy data to productionization and customer adoption, these obstacles can delay or even derail otherwise strong teams. Drawing on experiences gleaned from hundreds of clients, Michael Li presents a framework that successful companies have embraced to build and scale their data teams. The talk goes over how organizations progress along three maturity curves: Analytical, Operational, and Organizational. As enterprises strive to move along each of these maturity curves, they must solve various organizational challenges and develop new capabilities and skills in order to become data-driven organizations. We will provide key takeaways for managers and executives for each step of the maturity curves. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.
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Course Curriculum : Functional Skills English Level 2 Module 01: Linguistics Module 02: Teaching Grammar and Vocabulary Module 03: The Basics of Sentence Module 04: Structure of Sentence Module 05: Question Module 06: Punctuation & Capitalisation Module 07: Spelling Module 08: English Pronunciation Module 09: Teaching Receptive Skills: Reading Module 10: Teaching Productive Skills: Writing Module 11: Teaching Receptive Skills: Listening Module 12: Teaching Productive Skills: Speaking Functional Skills Maths Level 2 Integers ( Directed Numbers) Factors and Multiples Fractions Simplification Rule : BODMAS Decimal numbers Rational Numbers Approximation Estimation and Scientific Notation or Standard form Percentage Ratio and Proportion Unitary Method and its Applications Profit , Loss, discount and Tax Learning Outcomes Increase your knowledge of English linguistics Learn on how to teach grammar and vocabulary Understand punctuation, capitalisation and spelling Develop the abilities required for teaching reading, writing, listening and speaking skill Understand in-depth of integers, factors and multiples Learn the classification of fractions Improve your knowledge on decimal numbers and rational numbers Accreditation All of our courses included in this Functional Skills English Level 2 & Functional Skills Maths Level 2 bundle are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Functional Skills English Level 2 & Functional Skills Maths Level 2 course, you will immediately be sent digital certificates for the bundle courses. CPD 20 CPD hours / points Accredited by The CPD Quality Standards Who is this course for? This Functional Skills English Level 2 & Functional Skills Maths Level 2 course can be taken by anyone who wants to understand more about the topic. With the aid of this course, you will be able to grasp the fundamental knowledge and ideas. Additionally, this course is ideal for: Individuals seeking versatile communication and analytical skills enhancement. Job aspirants aiming to strengthen numerical and literacy proficiency. Those wanting to refine problem-solving abilities for various contexts. Students desiring a comprehensive skill set for future academic pursuits. Professionals looking to boost communication and analytical capabilities in their careers. Requirements There are no formal requirements for this Functional Skills English Level 2 & Functional Skills Maths Level 2 bundle courses to be enrolled. Career path After completing this Functional Skills English Level 2 & Functional Skills Maths Level 2 Course you will have a variety of careers to choose from. The following job sectors of Functional Skills English Level 2 & Functional Skills Maths Level 2 are: Data Analyst Administrative Assistant Retail Supervisor Customer Service Representative Teaching Assistant Logistics Coordinator Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Are you ready to embark on an enlightening journey of wisdom with the Data and Web Analytics bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Data and Web Analytics CPD Certificate. Delve into eight immersive CPD Accredited courses, each a standalone course: Data Analytics HTML Web Development Crash Course SQL for Data Science, Data Analytics and Data Visualization Google Data Studio: Data Analytics Introduction to Data Analytics with Tableau Big Data Analytics with PySpark Power BI and MongoDB Big Data Analytics with PySpark Tableau Desktop and MongoDB Data Analysis and Forecasting in Excel Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Data and Web Analytics CPD Certificate bundle illuminate your path to wisdom. The Data and Web Analytics CPD Certificate bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across five carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the Data and Web Analytics CPD Certificate package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Data and Web Analytics bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement! So, don't wait further and join the Data and Web Analytics CPD Certificate community today and let your voyage of discovery begin! Learning Outcomes: Attain a holistic understanding in the designated areas of study with the Data and Web Analytics bundle. Establish robust bases across each course nestled within the Data and Web Analytics bundle. Decipher intricate concepts through the articulate content of the Data and Web Analytics bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the Data and Web Analytics bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge. The Data and Web Analytics bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Data and Web Analytics bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Data and Web Analytics bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Data and Web Analytics bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Data and Web Analytics journey and let knowledge guide you towards a brighter future. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Career path Armed with the Data and Web Analytics bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it's academic research, consultancy, or programme management, the Data and Web Analytics bundle lays a solid groundwork. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99
Course Title: Engineering Calculus Made Simple (Derivatives) Are you struggling to grasp the intricacies of calculus and derivatives in your engineering studies? Fear not, because our comprehensive course, 'Engineering Calculus Made Simple (Derivatives),' is designed to demystify the complexities of this crucial subject and empower you with the knowledge and skills needed to excel in your engineering endeavors. Key Features: Clarity and Simplicity: We understand that calculus, especially derivatives, can be intimidating. Our course breaks down complex concepts into easy-to-understand, bite-sized modules, ensuring that you not only comprehend the material but also gain a deep appreciation for its application in engineering. Real-world Applications: Our instructors bridge the gap between theory and practice by emphasizing real-world applications of derivatives in engineering scenarios. From optimizing design parameters to analyzing dynamic systems, you'll gain insights into how derivatives play a crucial role in solving practical engineering problems. Interactive Learning: Engage in a dynamic learning experience with our interactive sessions, where you'll have the opportunity to solve problems, ask questions, and receive immediate feedback. Our instructors are committed to ensuring your active participation and understanding throughout the course. Expert Instructors: Learn from seasoned professionals and educators with a wealth of experience in both engineering and calculus. Our instructors are dedicated to simplifying complex topics and providing you with the tools to excel in your academic and professional pursuits. Comprehensive Resources: Access a rich repository of resources, including video lectures, practice problems, and supplementary materials. These resources are designed to reinforce your understanding and allow you to revisit key concepts at your own pace. Progressive Learning Path: Our course follows a carefully structured learning path, gradually building your understanding of derivatives from foundational principles to advanced applications. Whether you're a beginner or looking to reinforce your existing knowledge, our course caters to a range of proficiency levels. Benefits: Gain a solid foundation in derivative concepts and applications. Improve problem-solving skills for engineering scenarios. Boost confidence in tackling calculus-related challenges. Enhance your academic performance and career prospects. Enroll in 'Engineering Calculus Made Simple (Derivatives)' today and take the first step towards mastering the fundamental tools of engineering calculus. Unleash your potential and build a strong foundation for success in your academic and professional journey. Don't let derivatives be a stumbling block - make them your stepping stones to engineering excellence! Course Curriculum Introduction To Engineering Calculus Made Simple (Derivatives) Course Introduction To Engineering Calculus Made Simple (Derivatives) Course 00:00 Functions Functions 00:00 Limits Limits 00:00 The Derivative The Derivative 00:00 Trig Identities Trig Identities 00:00 The Squeeze Theorem The Squeeze Theorem 00:00 The Derivative Of Sin(X) The Derivative Of Sin(X) 00:00 The Derivative Of Cos(X) The Derivative Of Cos(X) 00:00 Other Derivatives Other Derivatives 00:00
In an era awash with data, understanding it is the key to unlocking significant opportunities. Enter the realm of 'SQL For Data Analytics & Database Development'. Dive deep into the heart of data manipulation, exploration, and insight generation. This course unfurls the magic behind SQL, drawing back the curtain on the tools that empower businesses globally. Understanding SQL's profound capabilities opens doors to a world where data-driven decision-making is not just an advantage but an imperative. It isn't simply about data storage. This course unravels the art of analytics, shedding light on how to glean valuable insights from vast data lakes. The path of SQL isn't merely technical; it's the spine of transformative decisions in today's leading industries. Offering a systematic approach to database development, we invite you to embark on this illuminative journey, stitching the threads of raw data into the fabric of meaningful stories. Come harness the power of SQL. Whether your intent is data analytics or the intricate craft of database development, this is your gateway. Let us guide you, from the rudimentary steps to mastering advanced commands, constructing your data narrative, and informing the future. Learning Outcomes: Comprehend the fundamental architecture of SQL and its environment. Acquire proficiency in basic and advanced SQL statements. Understand and implement GROUP BY statements for data aggregation. Master the concepts and applications of JOINS in databases. Cultivate the ability to create and structure databases and tables. Delve into advanced SQL commands, enhancing data manipulation and querying capabilities. Construct efficient database models, fostering optimal data storage and retrieval. Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/SQL-DATA-ANALYSIS.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why choose this SQL For Data Analytics & Database Development course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the SQL For Data Analytics & Database Development 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. Who is this SQL For Data Analytics & Database Development course for? Aspirants seeking to transition into data-driven roles in various industries. Database administrators aiming to broaden their analytical capabilities. Business analysts eager to enhance their data querying skills. Researchers in need of comprehensive data management tools. Tech enthusiasts wanting to grasp the underpinnings of database systems. Career path Data Analyst - Average salary: £35,000 - £50,000 Per Annum Database Developer - Average salary: £40,000 - £55,000 Per Annum Business Intelligence Analyst - Average salary: £38,000 - £52,000 Per Annum SQL Developer - Average salary: £42,000 - £58,000 Per Annum Database Administrator (DBA) - Average salary: £45,000 - £60,000 Per Annum Data Engineer - Average salary: £47,000 - £63,000 Per Annum Prerequisites This SQL For Data Analytics & Database Development 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. Certification After studying the course materials, there will be a written assignment test which you can take 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. Course Curriculum Course Introduction Introduction 00:04:00 Course Curriculum Overview 00:05:00 Overview of Databases 00:10:00 SQL Environment Setup MySQL Installation 00:16:00 MySQL Workbench Installation 00:09:00 Connecting to MySQL using Console 00:09:00 SQL Statement Basics Overview of Challenges 00:04:00 SQL Statement Basic 00:16:00 SELECT Statement 00:09:00 SELECT DISTINCT 00:05:00 Column AS Statement 00:12:00 COUNT built-in Method usage 00:11:00 SELECT WHERE Clause - Part One 00:05:00 SELECT WHERE Clause - Part Two 00:11:00 SQL Statement Basic 00:16:00 SQL Limit Clause Statement 00:09:00 SQL Using BETWEEN with Same Column Data 00:11:00 How to Apply IN Operator 00:11:00 Wildcard Characters with LIKE and ILIKE 00:11:00 GROUP BY Statements Overview of GROUP BY 00:06:00 Aggregation function SUM() 00:09:00 Aggregation MIN() and MAX() 00:05:00 GROUP BY - One 00:09:00 GROUP BY - Two 00:12:00 HAVING Clause 00:05:00 JOINS Overview of JOINS 00:04:00 Introduction to JOINS 00:04:00 AS Statement table 00:03:00 INNER Joins 00:14:00 FULL Outer Join 00:11:00 LEFT Outer JOIN 00:08:00 RIGHT JOIN 00:08:00 Union 00:07:00 Advanced SQL Commands / Statements Timestamps 00:12:00 EXTRACT from timestamp 00:10:00 Mathematical Functions 00:12:00 String Functions 00:22:00 SUBQUERY 00:13:00 Creating Database and Tables Basic of Database and Tables 00:06:00 DataTypes 00:10:00 Primarykey and Foreignkey 00:06:00 Create Table in SQL Script 00:13:00 Insert 00:11:00 Update 00:07:00 Delete 00:04:00 Alter Table 00:09:00 Drop Table 00:05:00 NOT NULL Constraint 00:08:00 UNIQUE Constraint 00:09:00 Databases and Tables Creating a Database backup 00:12:00 10a Overview of Databases and Tables 00:05:00 10c Restoring a Database 00:07:00
Are you ready to embark on an enlightening journey of wisdom with the Data Analytics & Database Development Using SQL bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our bundle - Data Analytics & Database Development Using SQL. Delve into eight immersive CPD Accredited courses, each a simple course: Course 1: Data Analytics Course 2: SQL Database Basics for Everyone Course 3: SQL for Data Science, Data Analytics and Data Visualization Course 4: Microsoft Access Databases Forms and Reports Course 5: Microsoft SQL Server Development for Everyone! Course 6: Python Programming from Scratch with My SQL Database Course 7: Google Data Studio: Data Analytics Course 8: Data Analysis and Forecasting in Excel Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Data Analytics & Database Development Using SQL bundle illuminate your path to wisdom. The Data Analytics & Database Development Using SQL bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across five carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the Data Analytics & Database Development Using SQL package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Data Analytics & Database Development Using SQL bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement! So, don't wait further and join the Data Analytics & Database Development Using SQL community today and let your voyage of discovery begin! Learning Outcomes: Upon completion of the Data Analytics & Database Development Using SQL Bundle, you will be able to: Attain a holistic understanding in the designated areas of study with the Data Analytics & Database Development Using SQL bundle. Establish robust bases across each course nestled within the Data Analytics & Database Development Using SQL bundle. Decipher intricate concepts through the articulate content of the Data Analytics & Database Development Using SQL bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the Data Analytics & Database Development Using SQL bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge. The Data Analytics & Database Development Using SQL bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Data Analytics & Database Development Using SQL bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Data Analytics & Database Development Using SQL bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Data Analytics & Database Development Using SQL bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Data Analytics & Database Development Using SQL journey and let knowledge guide you towards a brighter future. CPD 90 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Requirements Without any formal requirements, you can delightfully enrol in this Data Analytics & Database Development Using SQL Bundle. Career path Armed with the Data Analytics & Database Development Using SQL bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it's academic research, consultancy, or programme management, the Data Analytics & Database Development Using SQL bundle lays a solid groundwork. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99
Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling
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