Learn finance
2 expert-rated courses covering finance. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Finance skills are in high demand across industries like banking, accounting, consulting, and corporate finance. Average salaries for finance roles can reach over $100,000, with the field projected to grow 7% by 2026. Complementary skills like data analysis, programming, and strategic thinking pair well with finance expertise.
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Key Facts About finance
- 1Finance is the science of managing money, including investment, borrowing, lending, budgeting, and risk assessment.
- 2The global finance market was valued at $22.5 trillion in 2021 and is expected to reach $31 trillion by 2026.
- 3Key finance functions include financial planning, asset management, risk management, and financial reporting.
- 4Top finance roles include financial analyst, investment banker, financial manager, and personal financial advisor.
- 5Finance professionals use tools like Excel, SQL, Python, and financial modeling software to analyze data and make decisions.
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Top finance Courses
Machine Learning for Trading
This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning (ML) and Python. Alternatively, this program can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies. By the end of the Specialization, you'll understand how to use the capabilities of Google Cloud to develop and deploy serverless, scalable, deep learning, and reinforcement learning models to create trading strategies that can update and train themselves. As a challenge, you're invited to apply the concepts of Reinforcement Learning to use cases in Trading. This program is intended for those who have an understanding of the foundations of Machine Learning at an intermediate level. To successfully complete the exercises within the program, you should have advanced competency in Python programming and familiarity with pertinent libraries for Machine Learning, such as Scikit-Learn, StatsModels, and Pandas; a solid background in ML and statistics (including regression, classification, and basic statistical concepts) and basic knowledge of financial markets (equities, bonds, derivatives, market structure, and hedging). Experience with SQL is recommended.
Apply AI & Machine Learning to Financial Forecasting
Discover how to leverage AI and machine learning for accurate financial forecasting and stock prediction. Learn practical techniques for time-series analysis, model selection, and risk assessment. Perfect for finance professionals and traders looking to enhance decision-making with AI.
Pro Tips for Learning finance
- #1Start by mastering core finance principles like accounting, valuation, and portfolio management.
- #2Develop hands-on experience with financial modeling, data analysis, and financial software like Excel and SQL.
- #3Stay up-to-date on emerging finance technologies and trends like FinTech, AI, and cryptocurrency.
- #4Build a strong network in the finance community and seek out mentorship opportunities.
Why Learn finance?
- Develop in-demand, high-earning finance skills to advance your career in banking, accounting, consulting, and more.
- Learn to analyze financial data, model scenarios, and make strategic investment and budgeting decisions for businesses.
- Gain the technical and analytical skills to work with the latest financial technologies like AI, machine learning, and FinTech.
- Become an expert in managing risk, forecasting market trends, and optimizing financial performance for organizations.