Complete 2-in-1 Python for Business and Finance Bootcamp

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$9.99 Coupon code for Complete 2-in-1 Python for Business and Finance Bootcamp Udemy Course. This is an exclusive discount coupon from the course instructor, it will be active for few days. Check ENROLL NOW button to get a maximum discount. We manually verified coupon code on March 20th, 2024 .

After completing the course, you will…

  • Learn Python coding from Zero in a Business, Finance & Data Science context (real Examples)
  • Learn Business & Finance (Time Value of Money, Capital Budgeting, Risk, Return & Correlation)
  • Learn Statistics (descriptive & inferential, Probability Distributions, Confidence Intervals, Hypothesis Testing)
  • Learn how to use the Bootstrapping method to perform hands-on statistical analyses and simulations
  • Learn Regression (Covariance & Correlation, Linear Regression, Multiple Regression, ANOVA)
  • Learn how to use all relevant and powerful Python Data Science Packages and Libraries
  • Learn how to use Numpy and Scipy for numerical, financial and scientific computing
  • Learn how to use Pandas to process Tabular (Financial) Data – cleaning, merging, manipulating
  • Learn how to use stats (scipy) for Statistics and Hypothesis Testing
  • Learn how to use statsmodels for Regression Analysis and ANOVA
  • Learn how to create meaningful Visualizations and Plots with Matplotlib and Seaborn
  • Learn how to create user-defined functions for Business & Finance applications
  • Learn how to solve and code real Projects in Business, Finance & Statistics
  • Learn how to unleash the full power of Python and Numpy with Monte Carlo Simulations
  • Understand and code Sharpe Ratio, Alpha, Beta, IRR, NPV, Yield-to-Maturity (YTM)
  • Learn how to code more advanced Finance concepts: Value-at-Risk, Portfolios and (Multi-) Factor Models
  • Understand the difference between the Normal Distribution and Student´s t-distributions: what to use when

Who this course is for:

  • All Business and Finance Professionals (Python is the future)
  • Python Developers / Computer Scientists who want to step into Business, Finance & Data Science Roles
  • Researchers who need to analyze large data sets and perform statistical & regression analysis
  • Everyone who want to complement/replace Excel at work to increase productivity
  • Everyone who want to get the full picture: Coding and underlying Theory (Statistics, Regression, Finance)
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