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Linden Lu
This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem.
You will be...
Read more
This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem.
You will be...
Read more
This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem.
You will be provided with a loan dataset from Lending Club which is the largest peer-to-peer lending platform. You will explore the characteristics of the features in the dataset through statistical analysis, exploratory data analysis and visualization. You will also create a machine learning model to predict whether a loan will be fully paid or not. Finally, you will construct a portfolio with the help of your analysis. The goal is to create a portfolio that achieves better return than the overall return of all loans on the Lending Club platform.
Register for this course and see more details by visiting:
OpenCourser.com/course/cpgea4/data
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Good to know
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what to watch for , and
possible dealbreakers
Geared towards individuals already familiar with data analytics in accountancy
Helps learners apply their existing data analytics skills to a real-world problem
Provides hands-on experience with data analysis, exploration, and visualization
Involves creating a machine learning model for loan prediction
Teaches portfolio construction techniques
Emphasizes developing a portfolio with higher returns than the overall market
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Data Analytics in Accounting Capstone with these
activities:
Review statistical concepts
Show steps
Strengthen your foundation in statistical analysis
Browse courses on
Statistics
Show steps
-
Review your notes or textbooks
-
Complete practice problems
Learn about credit risk
Show steps
Expand your understanding of credit risk assessment
Browse courses on
Credit Risk
Show steps
-
Identify a relevant tutorial
-
Follow the tutorial and complete any exercises
Refresh your data manipulation skills
Show steps
Ensure proficiency in data manipulation.
Browse courses on
Data Manipulation
Show steps
-
Practice using a programming language or software
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice machine learning
Show steps
Reinforce machine learning techniques specifically covered in this course.
Browse courses on
Machine Learning
Show steps
-
Download the course dataset
-
Use a machine learning library to train a model
-
Evaluate the model's performance
Attend a workshop on data visualization
Show steps
Develop effective data visualization skills.
Browse courses on
Data Visualization
Show steps
-
Find an appropriate workshop
-
Attend the workshop
Write a blog post on a course topic
Show steps
Solidify your learning by summarizing your understanding in a blog post.
Show steps
-
Choose a topic from the course
-
Research the topic
-
Write and publish the blog post
Review statistical concepts
Show steps
Strengthen your foundation in statistical analysis
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes or textbooks
- Complete practice problems
Learn about credit risk
Show steps
Expand your understanding of credit risk assessment
Browse courses on
Credit Risk
Show steps
Show steps
Show steps
- Identify a relevant tutorial
- Follow the tutorial and complete any exercises
Refresh your data manipulation skills
Show steps
Ensure proficiency in data manipulation.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Practice using a programming language or software
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice machine learning
Show steps
Reinforce machine learning techniques specifically covered in this course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Download the course dataset
- Use a machine learning library to train a model
- Evaluate the model's performance
Attend a workshop on data visualization
Show steps
Develop effective data visualization skills.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find an appropriate workshop
- Attend the workshop
Write a blog post on a course topic
Show steps
Solidify your learning by summarizing your understanding in a blog post.
Show steps
Show steps
Show steps
- Choose a topic from the course
- Research the topic
- Write and publish the blog post
Career center
Learners who complete Data Analytics in Accounting Capstone will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use data to help businesses make better decisions. They collect, clean, and analyze data, and then use it to create reports and visualizations that can help businesses understand their customers, improve their products and services, and make better decisions. This Data Analytics in Accounting Capstone course can help you become a better Data Analyst by giving you the skills and knowledge you need to collect, clean, and analyze data, and create reports and visualizations.
Financial Analyst
Financial Analyst
Financial Analysts use data to help businesses make better financial decisions. They analyze financial data, such as income statements, balance sheets, and cash flow statements, to assess the financial health of a business. They also make recommendations on how to improve a business's financial performance. This Data Analytics in Accounting Capstone course can help you become a better Financial Analyst by giving you the skills and knowledge you need to analyze financial data and make recommendations on how to improve a business's financial performance.
Actuary
Actuary
Actuaries use data to help businesses and individuals make decisions about risk. They use mathematical and statistical models to assess the likelihood of future events, such as death, disability, or property damage. They also develop and implement strategies to manage risk. This Data Analytics in Accounting Capstone course can help you become a better Actuary by giving you the skills and knowledge you need to assess risk and develop and implement risk management strategies.
Auditor
Auditor
Auditors examine an organization's financial records to ensure that they are accurate and compliant with accounting standards. They also review an organization's internal controls to assess the risk of fraud and error. This Data Analytics in Accounting Capstone course can help you become a better Auditor by giving you the skills and knowledge you need to examine financial records and review internal controls.
Forensic Accountant
Forensic Accountant
Forensic Accountants investigate financial crimes, such as fraud, embezzlement, and money laundering. They use their accounting knowledge and data analysis skills to uncover financial wrongdoing. This Data Analytics in Accounting Capstone course can help you become a better Forensic Accountant by giving you the skills and knowledge you need to investigate financial crimes.
Accountant
Accountant
Accountants prepare and maintain financial records, prepare tax returns, and provide financial advice to individuals and businesses. This Data Analytics in Accounting Capstone course can help you become a better Accountant by giving you the skills and knowledge you need to prepare financial records, prepare tax returns, and provide financial advice.
Credit Analyst
Credit Analyst
Credit Analysts assess the creditworthiness of individuals and businesses. They use data to determine the risk of default on a loan or other credit obligation. This Data Analytics in Accounting Capstone course can help you become a better Credit Analyst by giving you the skills and knowledge you need to assess the creditworthiness of individuals and businesses.
Loan Officer
Loan Officer
Loan Officers meet with potential borrowers to discuss their loan needs and help them complete loan applications. They also review loan applications and make recommendations on whether or not to approve them. This Data Analytics in Accounting Capstone course can help you become a better Loan Officer by giving you the skills and knowledge you need to review loan applications and make recommendations on whether or not to approve them.
Mortgage Broker
Mortgage Broker
Mortgage Brokers help homebuyers find and secure mortgages. They work with lenders to find the best mortgage rates and terms for their clients. This Data Analytics in Accounting Capstone course can help you become a better Mortgage Broker by giving you the skills and knowledge you need to find and secure mortgages for your clients.
Financial Planning Analyst
Financial Planning Analyst
Financial Planning Analysts help individuals and families plan for their financial future. They develop financial plans that include savings, investment, and retirement planning. This Data Analytics in Accounting Capstone course can help you become a better Financial Planning Analyst by giving you the skills and knowledge you need to develop financial plans for your clients.
Insurance Underwriter
Insurance Underwriter
Insurance Underwriters assess the risk of insuring individuals and businesses. They use data to determine the likelihood of an insurance claim being filed and the amount of the claim. This Data Analytics in Accounting Capstone course can help you become a better Insurance Underwriter by giving you the skills and knowledge you need to assess the risk of insuring individuals and businesses.
Personal Financial Advisor
Personal Financial Advisor
Personal Financial Advisors provide financial advice to individuals and families. They help their clients with budgeting, saving, investing, and retirement planning. This Data Analytics in Accounting Capstone course may be useful in providing data driven recommendations to your clients.
Tax Preparer
Tax Preparer
Tax Preparers prepare tax returns for individuals and businesses. They use data to determine the amount of taxes owed and to file tax returns with the IRS. This Data Analytics in Accounting Capstone course may be useful in helping you understand the tax code and in preparing tax returns.
Bookkeeper
Bookkeeper
Bookkeepers maintain financial records for businesses. They record transactions, prepare financial statements, and file tax returns. This Data Analytics in Accounting Capstone course may be useful in teaching you the basics of accounting and in preparing you for a career as a Bookkeeper.
Real Estate Appraiser
Real Estate Appraiser
Real Estate Appraisers determine the value of real estate properties. They use data to analyze the market value of properties and to determine the fair market value. This Data Analytics in Accounting Capstone course can help you become a better Real Estate Appraiser by giving you the skills and knowledge you need to analyze the market value of properties and to determine the fair market value.
For more career information including salaries, visit:
OpenCourser.com/course/cpgea4/data
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Analytics in Accounting Capstone.
Provides a comprehensive guide to machine learning for business, including topics such as supervised learning, unsupervised learning, and ensemble learning. It also includes case studies and examples from a variety of business fields.
Provides a comprehensive guide to machine learning for finance, including topics such as supervised learning, unsupervised learning, and ensemble learning. It also includes case studies and examples from the finance field.
Provides a practical guide to machine learning, including topics such as supervised learning, unsupervised learning, and ensemble learning. It also includes case studies and examples from a variety of business fields.
Provides a practical guide to machine learning with R, including topics such as supervised learning, unsupervised learning, and ensemble learning. It also includes case studies and examples from a variety of business fields.
Provides a comprehensive guide to data science, including topics such as data collection, data preparation, data analysis, data visualization, and machine learning. It also includes case studies and examples from a variety of business fields.
Provides a comprehensive guide to data science for business, including topics such as data collection, data preparation, data analysis, data visualization, and machine learning. It also includes case studies and examples from a variety of business fields.
Provides an overview of data analytics in accounting, including topics such as data collection, data preparation, data analysis, and data visualization. It also includes case studies and examples from the accounting field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/cpgea4/data
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Time
16 hours
Via
Coursera
Institution
University of Illinois at Urbana-Champaign
Instructor
Linden Lu
This course belongs to a
collection
called
Accounting Data Analytics. It's comprised of four courses:
- Machine Learning for Accounting with Python
- Data Analytics in Accounting Capstone (viewing)
- Accounting Data Analytics with Python
- Introduction to Accounting Data Analytics and Visualization
Good to know
Geared towards individuals already familiar with data analytics in accountancy
Helps learners apply their existing data analytics skills to a real-world problem
Provides hands-on experience with data analysis, exploration, and visualization
Involves creating a machine learning model for loan prediction
Teaches portfolio construction techniques
Emphasizes developing a portfolio with higher returns than the overall market
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