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Financial Management

Automate Forecasting in Python 3

Learn one of the key concepts of Financial Management: financial forecasting, and how to automate key steps in your forecasting process with Python.

Automate Financial Forecasting tasks with Python. In this course, Automate Forecasting in Python 3, you will learn how to automate key steps of the Financial Forecasting process. First, you will learn core Financial Management concepts, including the importance of big data in building a forecast. Next, you will discover how to use Python to collect data from different sources, including external APIs and how to use Python to clean data for use. Finally, you will explore how to ensure your data is up to date using SQLite and Python, and how to visually express your forecast in Python. When you’re finished with this course, you will have the skills and knowledge of building a relevant forecast that is automated by Python. Software required: Juypiter Notebook, SQLite, Python 3.6 or later

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What's inside

Syllabus

Course Overview

Understanding What Makes a Good Forecast

Building a Forecast: Collecting and Converting Data

Building a Forecast: Ensuring Data Is Up-to-date

Building a Forecast: Visual Expression

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Victoria Clark, who is an experienced instructor in Financial Management and Forecasting

Builds a strong foundation in core Financial Management concepts, including the importance of big data in forecasting

Explores up-to-date methods for automating key steps in the forecasting process with Python

Develops skills in data collection, cleaning, and visualization, which are essential for effective forecasting

Suitable for learners with a background in finance or business who want to enhance their forecasting capabilities with Python

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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 Financial Management: Automate Forecasting in Python 3 with these activities:

Review Financial Management Concepts

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Refine your knowledge of financial management concepts to ensure a strong foundation for the course.

Browse courses on Financial Management

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Review course syllabus and identify key concepts
Read textbooks and articles on financial management
Take online quizzes or practice problems

Read 'Introduction to Financial Management' by Eugene Brigham and Joel Houston

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Gain a comprehensive understanding of financial management principles from a highly-regarded textbook.

View Fundamentals of Financial Management on Amazon

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Read each chapter thoroughly
Take notes and highlight key concepts
Complete end-of-chapter exercises

Solve Financial Forecasting Practice Problems

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Enhance your ability to apply financial forecasting techniques through repetitive practice.

Browse courses on Financial Forecasting

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Find practice problems or online resources
Solve problems using Python
Check your solutions and analyze your mistakes

Four other activities

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Follow Tutorials on Python for Financial Forecasting

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Expand your knowledge of Python and its applications in financial forecasting.

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Identify tutorials on reputable platforms
Follow tutorials step-by-step
Build small projects to apply your learning

Develop a Financial Forecasting Model

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Apply your skills to build a practical financial forecasting model that solves a real-world problem.

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Define the problem and gather data
Choose appropriate Python libraries
Create and implement the model
Evaluate and refine the model

Participate in Financial Forecasting Competitions

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Challenge yourself and test your forecasting skills against others in a competitive environment.

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Find and register for relevant competitions
Form a team or work individually
Develop and refine your forecasting model

Mentor Junior Students in Financial Forecasting

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Reinforce your understanding of financial forecasting concepts while helping others learn.

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Volunteer as a mentor
Meet with mentees regularly
Provide guidance and support

Career center

Learners who complete Financial Management: Automate Forecasting in Python 3 will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use data to build models that can solve business problems. This course teaches how to use Python to automate the collection, cleaning, and analysis of data, which are essential skills for Data Scientists. The course also covers data visualization, which is essential for communicating findings to stakeholders.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to solve complex business problems. This course teaches how to automate the development and analysis of financial models, which are key skills for Quantitative Analysts. The course also covers data collection and visualization, which are essential for building and interpreting models.

See salaries and explore the career path for Quantitative Analyst

Statistician

Statisticians use data to solve problems and make predictions. This course teaches how to use Python to automate the collection and analysis of data, which can save Statisticians time and help them make more accurate predictions.

See salaries and explore the career path for Statistician

Investment Analyst

Investment Analysts evaluate investment opportunities and make recommendations to clients. This course teaches how to use Python to automate the collection and analysis of financial data, which is essential for making investment decisions. The course also covers data visualization, which is helpful for communicating findings to clients.

See salaries and explore the career path for Investment Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve business problems. This course teaches how to use Python to automate the development and analysis of financial models, which are key skills for Operations Research Analysts. The course also covers data collection and visualization, which are essential for building and interpreting models.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts develop financial models and forecasts to help businesses make investment decisions. This course teaches how to automate the development of financial forecasts, which can save Financial Analysts time and help them make more accurate predictions.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts identify and assess risks to businesses. This course teaches how to use Python to automate the collection and analysis of data to create risk models. The course also covers data visualization, which is helpful for communicating findings to stakeholders.

See salaries and explore the career path for Risk Analyst

Data Engineer

Data Engineers build and maintain data infrastructure for businesses. This course teaches how to use Python to automate the collection, cleaning, and analysis of data, which are essential skills for Data Engineers. The course also covers data visualization, which is helpful for communicating findings to stakeholders.

See salaries and explore the career path for Data Engineer

Actuary

Actuaries use mathematical and statistical models to assess and manage risk in the insurance industry. This course teaches how to use Python to automate the development and analysis of financial models, which are key skills for Actuaries. The course also covers data collection and visualization, which are essential for building and interpreting models.

See salaries and explore the career path for Actuary

Economist

Economists use data to study the economy and make recommendations to policymakers. This course teaches how to use Python to automate the collection and analysis of economic data, which can save Economists time and help them make more accurate predictions.

See salaries and explore the career path for Economist

Business Analyst

Business Analysts gather and analyze data to help businesses understand their operations and make better decisions. This course teaches how to use Python to automate the collection and analysis of data, which can save Business Analysts time and help them make more accurate recommendations.

See salaries and explore the career path for Business Analyst

Data Analyst

Data Analysts gather, clean, and analyze data to help businesses understand market trends and make better decisions. This course teaches how to automate the collection, cleaning, and analysis of data, which are necessary skills for Data Analysts. The course also covers how to visualize data, which is essential for communicating findings to stakeholders.

See salaries and explore the career path for Data Analyst

Management Consultant

Management Consultants help businesses solve problems and improve their operations. This course teaches how to use Python to automate the collection and analysis of data, which can save Management Consultants time and help them make more accurate recommendations.

See salaries and explore the career path for Management Consultant

Financial Planner

Financial Planners help individuals and families plan for their financial future. This course teaches how to use Python to automate the collection and analysis of financial data, which can save Financial Planners time and help them make more accurate recommendations.

See salaries and explore the career path for Financial Planner

Software Engineer

Software Engineers develop and maintain software applications. This course teaches how to use Python to automate the collection, cleaning, and analysis of data, which can be helpful for Software Engineers who want to develop data-driven applications.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 12 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 Financial Management: Automate Forecasting in Python 3.

Forecasting

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Provides a comprehensive overview of forecasting methods, serving as a valuable reference for understanding the theoretical underpinnings of the techniques used in the course.

Financial Management

Automate Forecasting in Python 3

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What's inside

Syllabus

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