998 Courses

Building Data Science Products? Think Business First Modern machine learning libraries are both a blessing and a curse. Due to the ease with which the libraries can be used, most users (newbies and practitioners alike) focus too much on tools and techniques. We will discuss the high-level thinking process of coming up with a machine learning algorithm by asking a business question before even thinking about the tools or technologies.Learning Objectives We will discuss the high-level thinking process of coming up with a machine learning algorithm by asking a business question before even thinking about the tools or technologies. 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.

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.

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special 2021 Data Science & Machine Learning with R from A-Z Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The 2021 Data Science & Machine Learning with R from A-Z  Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This 2021 Data Science & Machine Learning with R from A-Z Course Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This 2021 Data Science & Machine Learning with R from A-Z Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this 2021 Data Science & Machine Learning with R from A-Z Course ? Lifetime access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the 2021 Data Science & Machine Learning with R from A-Z Course 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This 2021 Data Science & Machine Learning with R from A-Z  course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already work in relevant fields and want to polish their knowledge and skills. Prerequisites This 2021 Data Science & Machine Learning with R from A-Z Course does not require you to have any prior qualifications or experience. You can just enrol and start learning. This 2021 Data Science & Machine Learning with R from A-Z Course was made by professionals and it is compatible with all PCs, Macs, 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 As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This 2021 Data Science & Machine Learning with R from A-Z Course is a great way for you to gain multiple skills from the comfort of your home.

Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

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

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Learn Python, JavaScript, and Microsoft SQL for Data science Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Learn Python, JavaScript, and Microsoft SQL for Data science Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Learn Python, JavaScript, and Microsoft SQL for Data science Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Learn Python, JavaScript, and Microsoft SQL for Data science Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Learn Python, JavaScript, and Microsoft SQL for Data science? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn Python, JavaScript, and Microsoft SQL for Data science 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 £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn Python, JavaScript, and Microsoft SQL for Data science course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill.   Prerequisites This Learn Python, JavaScript, and Microsoft SQL for Data science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Learn Python, JavaScript, and Microsoft SQL for Data science 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Learn Python, JavaScript, and Microsoft SQL for Data science is a great way for you to gain multiple skills from the comfort of your home.

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

Whether you're a beginner looking to start your coding journey or an experienced developer aiming to dive into data science and machine learning, this comprehensive course has you covered. In this Python bundle, you'll embark on a transformative learning journey through 11 carefully curated courses. First, you'll lay the foundation with "Python Programming: Python Coding Essential Training," where you'll grasp the fundamentals of Python coding. Then, you'll advance into the world of data with the "Data Structures Complete Course," equipping you with the skills to manipulate and manage data efficiently. But that's just the beginning. With courses spanning data science, machine learning, cloud computing, SQL programming, business intelligence, and critical thinking, this bundle is your passport to a versatile skill set that's in high demand. By enrolling in this course, you're investing in a brighter future, gaining the knowledge and expertise that will open doors to exciting career opportunities and enable you to tackle real-world challenges. Don't miss out on this chance to become a Python powerhouse and shape your professional destiny. This Python Powerhouse: Python Bundle Course for All Levels Bundle Consists of the following Premium courses: Course 01: Python Programming: Python Coding Essential Training Course 02: Data Structures Complete Course Course 03: Data Science with Python Course 04: Data Science & Machine Learning with Python Course 05: Python for Data Analysis Course 06: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 07: SQL Programming Complete Bundle Course 08: Higher Order Functions in Python - Level 03 Course 09: Basic Google Data Studio Course 10: Business Intelligence and Data Mining Masterclass Course 11: Decision Making and Critical Thinking Learning Outcomes Upon completion of this bundle, you should be able to: Develop a solid foundation in Python programming, enabling them to apply coding skills efficiently. Acquire a deep understanding of data structures and their applications in healthcare data management. Master the use of Python for data science, allowing them to analyse healthcare data and extract valuable insights. Explain SQL programming, which is crucial for handling healthcare databases and managing patient information securely. Explore higher-order functions in Python, enhancing their problem-solving skills and programming capabilities. Develop basic proficiency in Google Data Studio, a valuable tool for visualising healthcare data. Master business intelligence and data mining techniques are specific to the healthcare industry. "Python Powerhouse: Python Bundle Course for All Levels" is your gateway to mastering Python and unleashing its potential across various domains. This comprehensive course comprises 11 meticulously designed modules, each geared towards equipping learners with essential skills and knowledge. Starting with "Python Programming: Python Coding Essential Training," you'll build a strong foundation in Python, a programming language known for its versatility and widespread use. As you progress through the "Data Structures Complete Course," you'll delve into the world of efficient data manipulation, a fundamental skill applicable in numerous professional settings. One of the highlights of this bundle is "Data Science with Python," which empowers learners to harness Python's capabilities for data analysis. In "Data Science & Machine Learning with Python," you'll take the next step, exploring advanced techniques that are vital in today's data-driven world. Furthermore, "Python for Data Analysis" enhances your proficiency in making data-driven decisions. Beyond data, you'll gain expertise in cloud computing, SQL programming, higher-order functions in Python, Google Data Studio, business intelligence, and critical thinking - all essential skills that can open doors to a multitude of career opportunities. This course is your passport to a fulfilling career by providing a comprehensive toolkit to excel in various domains and industries. Don't miss the chance to become a Python powerhouse and shape your professional destiny. CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is tailored for: Data Enthusiasts Intermediate Python Developers Data Visualisation Enthusiasts Aspiring Business Analysts Anyone interested in Python Requirements No requirements to enrol this Python Powerhouse: Python Bundle Course for All Levels course. Career path Upon completion, various career opportunities include: Software Developer (Average salary range of £35,000 to £70,000) Data Analyst (Average salary range of £25,000 and £60,000.) Machine Learning Engineer (Average salary range of £45,000 to £80,000) Web Developer (Average salary range of £30,000 to £65,000) Research Scientist (Average salary range of £40,000 to £75,000) Certificates CPDQS Accredited e-Certificate Digital certificate - Included CPDQS Accredited Hard-Copy Certificate Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Python Programming: Python Coding Essential Training) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.