Python and Statistics for Financial Analysis

Colleagues, the Python and Statistics for Financial Analysis program will equip you to use the number #1 software language for statistics and financial analysis.  Due to python’s simplicity and high readability, it is gaining its importance in the financial industry.  The course combines Python coding and statistical concepts and applies into analyzing financial data, such as stock data. By the end of the course, you can achieve the following: Import, pre-process, save and visualize financial data into pandas Dataframe, Manipulate the existing financial data by generating new variables using multiple columns, Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts, Build a trading model using multiple linear regression model , Evaluate the performance of the trading model using different investment indicators, and Jupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications. Acquire high-demand skills in Financial Analysis, Financial Data Analysis, Statistical Analysis, Python Programming and Data Visualization (DataViz). The training modules include: 1) Visualizing and Munging Stock Data, 2) Random variables and distribution, 3) Sampling and Inference, and 4) Linear Regression Models for Financial Analysis. Advance your career and earning potential.

Enroll today (individuals & teams welcome): https://tinyurl.com/3fpc5ctp 

Much career success, Lawrence E. Wilson - Financial Certification Academy