The collected data is categorized and analyzed to obtain key insights. Plus a 360-degree view of AI, from the foundational principles of generative AI to writing effective prompts. 4 weeks long. ISBN: 9780137444267. 2. Leading-edge companies in every industry are using analytics to replace intuition and guesswork in their decision making. co. Data Analysis and Modelling 11. The data analytics course including the internship is designed to enable learners to sharpen their data analytics skills. There will be a combination of virtual presentations, interactive group work/discussions and hands-on application exercises. This is the first course in the Google Data Analytics Certificate. , commercial and investment banking, venture capital, private equity, asset management) and outside the financial sector (e. Import, clean, and analyze fleet vehicle inventory with Excel pivot tables. The Master of Finance - Financial Data Analytics Option consists of 33 credits—18 core credits, 12 elective credits, and 3 capstone credits. B. Machine Learning for Trading: Google Cloud. The Analytics specialization lays a strong focus on various tools being used by the industry. Data Analytics in Finance Graduate Concentration. 4 Advanced Data Analytics in Taxes unstructured data has pushed forward a more data-driven form of decision-making in accounting and finance. IBM Big Data Work survey indicates that most financial organizations are Explore financial analytics with the University of Illinois, learning to analyze time series data, evaluate risk-reward trade-offs, and understand algorithmic trading in a 4-week course. BUS-F 432 Financial Data Analytics. The primary steps in the data analytics process are data mining, data management, statistical analysis and data presentation. Start your learning journey today! Dec 21, 2023 · Data analyst roadmap: hard skills and tools. 2 days ago · Data analytics is a process of collecting and interpreting data to recognize current market trends. Demonstrate how to acquire, transform, analyze, and visualize Business Analytics with Excel: Elementary to Advanced: Johns Hopkins University. Course Listings Online MBA in Data Analytics. The Google Data Analytics Professional Certificate Program is technically a compiled series of eight courses. The STEM-designated Master of Science in Business Analytics (MSBA) syllabus at the University of California Riverside (UCR) School of M. May 26, 2024 · Here’s a breakdown of their responsibilities and data analyst skills: 1. Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology. No matter the course you choose, you’ll get best-in-class live learning and expert-led practice. Course Description. The current sanctioned strength is 50 seats based on PG-CUET scores. Prerequisite (s): BUS-F 303 and BUS-F 305 with minimum C- grades. Study mode: Full-time. This career oriented degree program designed by Industry It focuses on problem-solving by model development and solution interpretation. As a result, managers are collecting and analyzing enormous data sets to discover new patterns and insights and running controlled experiments to test hypotheses. Four of the most common tools are common size statements, which present data in the format of percentages; comparative financial statements, which can have data presented in percentages or dollar amounts and are used to analyze changes in various components of the statement for Apr 8, 2022 · A Master’s in Business Analytics syllabus blends theory and practice. Students will develop computational skills to Developed in partnership with ExploreAI, a leader in Data Analytics education. Specialization - 5 course series. Data mining is an important step for May 28, 2024 · Core Subjects in Data Science Programs. Improve financial decision-making with data analytics and the scientific method 2. English, Spanish, and Portuguese. Location: Colchester Campus. The first 8 weeks are ALX Foundations, where you will learn critical communication, leadership, and career development skills that will help you thrive in the digital workforce. Upon completion of this program, students will possess the knowledge and tools to track This course will teach you the essential elements of Python and R to build practically useful applications and conduct data analysis for finance. Data Analyst Courses: Understand data analyst roles and responsibilities. Economics for Managers. The Data Analytics in Finance Concentration is open to students enrolled in: Finance, MS Financial Engineering, MS Business Analytics, MS. Recent trends in "big data" present both enormous challenges and opportunities for businesses. Whether you’re just getting started or want to take the next step in the high-growth field of data analytics, professional certificates from Google can help you gain in-demand skills like R programming, SQL, Python, Tableau and more. Data analytics has become a critical component of commercial industries, allowing for more informed business Jun 26, 2024 · Wharton Executive Education is recognized globally for intellectual leadership and ongoing innovation across every major discipline of business education. Develop BI skills such as dashboarding and data manipulation using industry standard tools like Power BI, Tableau, and SQL. 4 Dashboard, Graphs, Diagrams, Tables, Report Design 10. Data visualization helps you to present the data in a pictorial form using charts and graphs. Overview Course Outline Course Offering Eligibility Program Benefits. The MA concentration in Data Analytics prepares students to study and make decisions in business, economics and finance as they develop sophisticated technical analysis skills in data science. In the business world, you’ll need to know about more than just how to analyze data. Number of credits: 30 credit hours. This course will take you from the basics of data analysis with Python to building and evaluating data models. Free *. Write comprehensive and critical reports evaluating and interpreting obtained results. in. The Certification in Sustainability Analytics trains professionals to develop skills in analytic methods and quantitative analysis that enable practitioners to measure, report, and communicate the sustainability of organizations, products, and services. Start date: October 2024. Financial Engineering and Risk Management: Columbia University. In this course, you’ll be introduced to the world of data analytics There are 4 modules in this course. Unlock the power of data! Elevate your expertise with our Mastering Data Analytics Course. SIDTM (Formerly SITM) has an IBM Analytics lab and it also offers courses in line with it. 3. Business Analytics with Excel: Elementary to Advanced: Johns Hopkins University. The MBA is a two-year regular programme of the Department of Management Studies, School of Management, Pondicherry University offered since 2019. SQL (Structured Query Language) is a critical tool in data analysis. The objectives for the course are: 1. GENERAL EDUCATION CORE Introduction to Python. Available now. Participants should be able to execute the required It has an interdisciplinary curriculum by drawing on the expertise from diverse areas of engineering, business, law and statistics, with a technology focus. Champaign, IL 61820. Proficiency in Microsoft Excel. USD $2,800. Hands-on, practice-based training. This course provides a practical understanding and framework for basic analytics tasks, including data extraction, cleaning, manipulation, and analysis. Over 8 courses, gain in-demand skills that prepare you for an entry-level job. Apr 21, 2021 · Data analytics courses are available in both UG and PG levels. Business Communication. They will learn rigorous methods to interrogate the performance of initiatives, teams, and organizations, and The courses cover finance and data analytics skills applied to finance. o Populate the market data from STL data structures into tables for persistency IV. With 4 batches, it has gained strength in terms of its market standing. ¹. Starting from the fundamentals of quantitative modeling, you will learn how to put data to work by using with real-world data provided by a number of data partners, see list at the end of the syllabus. Choose a 10-week, part-time evening format or a one-week, full-time accelerated course. Tech and BSc. 5 Data Analytics Tools: Spreadsheets vs. Data Gathering and Cleaning: Data analysts collect information from various sources like surveys, website records, financial data, or scientific experiments. This course is an introduction to econometrics focusing on techniques applied to empirical investigations in economics and finance. 4. The MFDA is a GARP Academic Partner; the program curriculum equips students with the required knowledge to approach the Part I Exam of the Financial Risk Manager (FRM) professional certification. Google Data Analytics: Google. Experiential Learning – you will take part in an integrative team project that allows you to demonstrate an understanding of the Summer Internship [Supervised Independent Learning/ Non-Teaching Credit Courses] Business Intelligence and Data Analytics [Specialisation Elective Courses] Data Mining and Data Warehousing [Specialisation Elective Courses] Digital Innovation, Transformation and Creativity [Specialisation Elective Courses] Businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. This course introduces concepts and techniques of data analytics and shows how they can be used for making predictions, and to distinguish between correlation and causation, in This course covers the key quantitative methods of finance: financial econometrics and statistical inference for financial applications; dynamic optimization; Monte Carlo simulation; stochastic (Itô) calculus. This online course will introduce the Python interface and explore popular packages. . Gain proficiency in Python, SQL, Excel, and Tableau for data analysis, visualization, and reporting. The course blends finance, statistics, and analytics to equip the participants with the required skill sets in analyzing financial data. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. As a data analyst, one of your primary responsibilities is to extract data from databases, and SQL is the language used to do so. Cost per credit: $1,450. Use appropriate Data Analysis techniques for real-world problems and data. Google Data Analytics Professional Certificate. Com (Financial Analytics) is a 3 year Undergraduate Degree program jointly offered by NSE Academy and Karpagam Academy of Higher Education. Apply for King's Business School scholarships of up to 50% tuition fees or £10,000 for our full-time postgraduate courses. 2. The Data Analytics for Business Decision Making graduate certificate will prepare you for a career in this high-demand area by teaching you the knowledge and skills that you need to support real-world business decision-making and planning through data Dec 6, 2023 · In India, pursuing a Master of Science (MSc) in Business Analytics can come with varying fee structures, largely dependent on whether one opts for a private or government institution. Get Started on. Semester 1. Luke Greeley, the rSBI Program Manager, and Benjamin Melamed, Distinguished Professor, and rSBI Program The semester-wise BBA business analytics syllabus followed by the top business and management universities is mentioned below. Applying Data Analytics in Finance: University of Illinois at Urbana-Champaign. 3 Advanced Data Analytics in Financial Accounting Overview • 7 minutes; 1. Gajendra: +91 8454881917. One or the other way, Analytics in Finance will help you go through all these aspects for the collected financial data of the business. Use car sales key performance indicator (KPI) data to create an interactive dashboard with visualizations. The course is part of the Harvard on Digital Learning Path and will be delivered via HBS Online’s course The work of a data analyst involves working with data throughout the data analysis pipeline. Print Options. 3 Data Presentation Architecture 10. Environmental Studies and Disaster Management. 123-867-5309 123 College St. This is an introductory statistics class, assuming probability as a prerequisite. The duration of the data analytics course can vary between 1 and 2 years, depending on the level In summary, here are 10 of our most popular quantitative finance courses. SYLLABUS Semester Subject Code Subject Name Credits I CA601 Statistical Computing 3 CA603 Big Data Analytics 3 CA605 Machine Learning Techniques 3 ***** Elective -1 3 ***** Elective-2 3 ***** Elective-3 3 CA609 Big Data Management and Data Analytics Lab 2 II CS618 Real Time Systems 3 CA602 Next Generation Databases 3 CA604 High Performance Description. Ms. They then meticulously clean and organize the data, ensuring its accuracy and completeness before further analysis. This is the second course of a two-course sequence. • To develop the ability to apply computational techniques to draw insight from big data in a variety of application domains. Tech, MBA, and PGDM. MBA 701: Economic Analysis for Management. Start Date: July 15, 2024Upcoming Date: September 23, 2024 Students may register up to 7 days after the course start. By analyzing the companies’ financial data, you can explore the profit gained, answer the finance-related questions, and predict the future business financial state or circumstances. GFG Karlo, Hojayega! Flat 30% Discount + GFG T-Shirt. In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. Data Analytics in Finance. Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. Learn to collect, process, and analyze data to support business decision-making. SQL is more than just running basic queries like SELECT, FROM, and WHERE. Taught by Wharton's world-class faculty, these online courses promise thought leadership in action. for the Data Analytics in Finance Concentration. Professional Certificate - 9 course series. These techniques, along with their computer implementation, are covered in depth. In summary, here are 10 of our most popular financial analytics courses. Business Intelligence analysts are highly sought after as more organizations rely on data-driven decision-making. Subramanian Balachander, professor of marketing. The programs are designed to combine research, analytical rigor, and experiential learning This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers. You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Semester 2. Browse the latest Data Analysis courses from Harvard University. Technical skills may include data analysis, statistical knowledge, data storytelling, communication, and problem-solving. Data Analytics for Finance as an Integral Part of the Syllabus . 100% remote, online learning. The study of Management Accounting at Foundation Level and Performance Management at Professional are prerequisites for the study of Data Analytics for Finance. 75 lakhs for the entire duration of the program. This course will teach different concepts of accounting and finance with the application of data analytics. The data analytics syllabus will clarify the main objectives of the Data analyst course: statistical computing, classification techniques, R programming language, excel for business analytics, and linear and nonlinear regression models. To get along with the advancements, accountants and finance professionals need to have an analytics mindset to excel in their jobs. Core Courses (21 hours) Credit Hours. MBA 700: Managerial Use of Accounting Data. world problems in data analytics. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. Financial analysis tools are methods for assessing and interpreting financial statements for decision-making. With the increasing demand for data science and analytics, SIDTM (Formerly SITM) introduced Analytics specialization in 2017. Online programs typically cost less than their in-person counterparts, and certificates require fewer credits than Analytics And Finance. Students complete coursework in big data, forecasting, marketing analytics, business and system dynamics, financial modeling and more. BIDA Certification. Course: Finance and Data Analytics. Cost and Management Accounting. 2 Objective and Function of Data Presentation 10. ON SALE. , consulting, general management, corporate The course concludes with a final project to demonstrate end-to-end data analysis skills. PICK YOUR START DATE & YOUR SCHEDULE. India: 75% Off World: 40% Off. This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. These eight courses include: “Foundations: Data, Data, Everywhere,” “Ask Questions to Make Data-Driven Decisions,” Prepare Data for Exploration,” “Process Data from Dirty to Clean,” “Analyze Data to Answer Questions FINANCE (Data Analytics Track), B. g. Big Data in Finance: While the industry structured data is growing in size and scope, it is the world of unstructured data that is emerging as an even larger and more important data source. Finance & Quantitative Modeling for Analysts: University of Pennsylvania. Duration. Data Analysis in Excel. 5 Tools and Techniques of Visualisation and Graphical Presentation 11. PG courses include MSc, MCA, M. Prentice Hall, 1999. Financial applications include textual analysis to large financial documents To be a data analyst, you’ll need technical skills to analyze data and report insights successfully. Learn to use R programming to apply linear models to analyze data in life sciences. The course includes a selection of the following topics: multivariate regression analysis; hypothesis testing; omitted variables and misspecification; and time-series modelling and forecasting. Average Completion Time: 1-2 years. • To manage real life complex data analytics projects. Private colleges typically charge an average fee ranging from 5. Business intuition and strategic thinking are also useful for data analysts that often partner with business stakeholders. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame Summary. In this course, we introduce basic econometric methods applied to financial data, with the following goals: (1) familiarizing students with the features of financial data, (2) equipping students with econometric models to analyze the trend of financial time series and make 1. Located in the heart of London, King’s Business School has a strong reputation for research-led teaching and close links to the financial industry. We will review probability (Chapter 2), discuss sampling techniques (Chapter 3), data summarization (Chapter 4), common sampling distributions (Chapter 5 In an increasingly data-rich and technology-driven world, finance teams must learn how to harness and make sense of data and what it means for the business. Demonstrate knowledge of trends in data management and analysis 3. FIN 550: Big Data Analytics in Finance for Predictive and Causal Analysis. rSBI Finance & Economics Concentration courses are taken during the course of the fall and spring semesters. These projects will introduce students to alternative data coming from asset management and technology companies. Google’s Data Analytics Professional Certificate is a flexible online certificate program that provides a comprehensive introduction to data analytics in just six months. Knowledge of programming and querying languages such as SQL, Oracle, and Python. Proficiency in business intelligence and analytics software, such as Tableau, SAS, and RapidMiner. The Complete Financial Analyst Course is the most comprehensive, dynamic, and practical course you will find online. Enroll Now Download. Jun 3, 2024 · Data Analyst Course Syllabus. Leverage data-driven analysis to identify relevant financial trends. A. 1 Advanced Data Analytics in Managerial Accounting Overview • 5 minutes; 1. Statistics and Data Analysis: From Elementary to Intermediate. Sessions will be held on Mondays and Fridays from 19:00-20:30 (UK Data Science for Business will help you appreciate the full benefits of data-driven decision making and teach you the business analytics tools and techniques to effectively understand, visualize, and analyze the data available to you. The topics covered often include big data fundamentals and technologies, predictive modelling, unstructured data analysis, forecasting models and metrics. 6 days ago · For further information, contact. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. and John A. 1 Data Visualisation of Financial and Non-financial Data 10. There are 6 modules in this course. S. 2024-2025 Edition. The course is taught by Faculty and Industry Experts from Amrita Vishwa Vidyapeetham and MaxEd, who have decades of experience in providing individualized learning. The ability to mine, analyze, model, and interpret data. Mar 31, 2023 · The syllabus for courses related to business analytics varies from college to college. Online Data Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Data Analysis skills. Over 3 hours Programming Hugo Bowne-Anderson courses. For more information, please complete the form below. Whether you're looking to grasp the fundamentals of financial management or seeking advanced skills in data analytics using popular tools like R and Python, these Machine Learning for Finance. 6 Continuing Education Units 10. You will apply basic data science tools, including data ACCT3103 Intermediate financial accounting II 3 6 ACCT3106 Management control 3 6 ACCT3107 Hong Kong taxation 3 6 BUSI3803 Company law 3 6 IIMT3636 Decision and risk analysis I 3 6 ACCT3109 Auditing 4 6 ACCT3112 Accounting data management and analytics* (Capstone course) 4 6 ACCT4104 Advanced financial accounting 4 6 Jan 15, 2024 · Admission Open. Master the basics of data analysis with Python in just four hours. Apr 29, 2024 · The Financial Analysis and Analytics (online) course runs over two weeks, from 29 April- 10 May 2024, with online sessions delivered via Microsoft Teams. Also, some online short term courses are there that can be pursued by working professionals. With the assistance of various software or specialized systems, the data analyst course syllabus is created to offer comprehensive instruction in data extraction, analysis, and manipulation. Financial Accounting. Demonstrate knowledge of terms, methods, and tools for data management and analysis 2. Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. Final Deadline: January 15, 2024. Data Science Languages • 6 minutes; 1. While working separately, Learners who complete this program will receive a 50% discount voucher to take the PL-300 Certification Exam. Program covers a variety of topics, ranging from practical business applications used to manage current financial challenges to advanced financial theories that can address understanding of the Data Analysis functions and complement this with other analytics tools. Data analytics (DA) is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. • To prepare students for careers in data analytics with the ability to conduct in-depth data analysis, synthesis and evaluation. It is a two-year full-time in-person program but can be accelerated to one year. 6 days ago · From understanding the future of financial services to electronic payment systems and kiosk banking, these programs provide a deep dive into the ever-evolving financial landscape. Two in-person residencies. Statistics and Probability. “ The MSc Finance Analytics program at Kings College London is a There are 4 modules in this course. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations Introduction to Linear Models and Matrix Algebra. Business and Financial Modeling: University of Pennsylvania. Extract and graph financial data with the Pandas data analysis Python library. Data Analytics. Dobelman, Quantitative Financial Analytics: The Path to Investment Profits, London: World Scientific, 2017. It introduces the OSEMN cycle for managing analytics projects and you'll examine real-world examples of how companies use data insights to improve decision Sep 8, 2022 · Syllabus Outline Textbooks Covid-19 Schedule Grading Professional Standards Software Data Access Summary of Links in this document Course Texts Williams, Edward E. The objective of this course is for students to gain experience in analyzing financial data using modern machine learning techniques, statistical methods, and prediction models. Curriculum and Schedule. Through the study of topics like Mathematics and Statistics, Data Structures, Stimulation, Collection Of data, and comparable This multifaceted specialization will equip a learner who might be interested in entering the dynamic world of data and business analysis, and/or is interested gaining deeper technical knowledge in Finance and Quantitative Modeling. The details. Enhance your skills with expert-led lessons from industry leaders. Microsoft Power BI is the leading data analytics, business intelligence, and reporting tool in the field, used by 97% of Fortune 500 companies to make decisions based on 6 days ago · B. Application areas include portfolio management, risk management, derivatives, and proprietary trading. Enrolment still open. Email: skanade@nse. 40 courses of three or more credits and 3 one-credit PE courses For the most up-to-date record of progress toward completion of degree requirements, students should use the Academic Evaluation tool, which is listed under the Academic Planning heading in WebAdvisor. 8 weeks. Duration: 1 year. When you analyze the data, you also get insights into customer behavioral patterns. MBA 702: Financial Management. Apr 19, 2024 · Use the list of popular certification and certificate courses below to identify the option best suited to your goals. Jun 4, 2024 · Earning a data analyst certificate online can offer a more affordable education. It covers the following topics, fundamental for every aspiring financial analyst: Microsoft Excel for beginner and intermediate users — become proficient with the world’s #1 productivity software. If you want to explore how big data streams influence financial and statistical modelling on a daily basis and gain an understanding on how data from social networks Principal components analysis; Non-parametric analyses; Applications to financial data are made throughout and include the topics such as the following: Testing hypotheses of independence, normality, homoscedascticity, and symmetry for returns, and the Bachelier and Mandelbrot models This allows the industry to quickly respond to organizational and market opportunities. Apply Now. Flexible Program: Hybrid. Text analytics and natural language processing in finance and fintech (6 credits) This course covers the main elements of natural language processing (NLP), text analytics, and text mining, providing students with a foundation in collecting, managing, and analyzing textual data with financial and economic applications in mind, such as FinTech. It uses the programming language Python to analyze live, real-world financial data. In some cases, the syllabus might also include topics such as visualization tools or in-depth studies Program Highlights. 1 Process, Development and Types of Data Mar 23, 2023 · Step 5: Master SQL for Data Extraction. 1. Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. Master data analysis and work more efficiently using modern Excel tools including dynamic arrays, Power Query and Power Pivot. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000. Financial Analytics helps corporates to understand and take analytics-based business decision making to drive the company's Return on Investment. 5 credits. This course provides the foundation for financial data analytics used in business and FinTech applications. ISBN 978-981-3224-24-7 Students will encounter data analytics in all aspects of the curriculum—from quant-heavy finance courses to projects focused on improving the effectiveness of international aid efforts. 6 weeks (8-10 hours per week) Course started. Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. During the data analytics specialisation, you will focus your attention on real-world Financial data analysis is a required upper-division course for undergraduate students majored in financial economics. Beginner to Advance 12 Weeks. Through the courses, students will gain essential FinTech skills necessary for navigating the changing landscape of the finance industry, as well as knowledge of the hottest industry trends. Data analytics and data science skills are showing the biggest growth in demand from employers, and finance professionals are perfectly placed to upskill in this area. Note that not all courses are offered every semester. The goal of these projects is to identify a use case for these data and build a validation for the use case. So many courses and books just bombard you with the theory, and math, and coding Business Analytics and Visualisation. Fundamentals of Quantitative Modeling: University of Pennsylvania. 25 lakhs to 10. Here’s a breakdown of the core areas you can expect to encounter: 1. Explore hands-on real-world projects and much more. 1. Number of courses needed to graduate: 10. Divya: +91 8976415049. Provide a foundation for performing data analytics in finance-related roles inside (e. Under 10 hours of study a week*. 2 Advanced Data Analytics in Auditing Overview • 4 minutes; 1. A comprehensive data science curriculum typically covers a wide range of subjects, each playing a crucial role in developing a well-rounded data professional. The balance of these steps depend on the data being used and the goal of the analysis. This Professional Certificate comprises the following courses: Python Programming for Finance (Days 1 - 3) R Programming for Finance (Days 4 & 5) Prerequisite knowledge: Basic probability and statistics. Choose from a wide range of Data Analysis courses offered by top universities and industry leaders tailored to various skill levels. This course combines simple statistical and data visualisation tools to give participants the skills they need to analyse data. Mr. Create a Financial Statement using Microsoft Excel: Coursera Project Network. UG courses include BE or B. Online learning with live, interactive sessions. Based in: Essex Business School. Explore top courses and programs in Data Science. Concentrations & Courses. becrwwpcyvtoozzvtqek