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Python And Statistics For Financial Analysis

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  • Batch Name

    PSFA

  • Course Start

    1-November-2024

  • Course duration

    30 Hours

  • Eligibility

    graduation

Certificate in Python and Statistics for Financial Analysis

CITC Courses Offer


Certificate in Python and Statistics for Financial Analysis. Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Eligibility: 

To register for a Certificate in Python and Statistics for Financial Analysis, students must earn a Graduation. We provide multiple computer courses at an affordable price in Chandigarh, Mohali, and Kharar.  Learn  from the best teachers, get a valuable certificate, We have a great infrastructure, friendly environment, Join Us for a better future in the IT - sector.

Course:

Courses in  Certificate in Python and Statistics for Financial Analysis Online may include subjects such as Visualizing and Munging Stock Data, Random Variables and Sampling and Inference, Linear Regression Models for Financial Analysis, Testing the return of investment using Hypothesis testing.

Course Modules/Papers

  • Python and Statistics for Financial Analysis

Course Syllabus

  • Visualizing and Munging Stock Data
  • Basic concepts of Python
  • Using Python to import, manipulate and visualize stock data
  • Random Variables and Distribution
  • Basic concepts of Random variable
  • Basic concepts of Probability Distribution
  • Using probability in measuring the risk in investing a stock
  • Sampling and Inference
  • Basic concepts of Statistical Inference(such as population, samples and random sampling).
  • Testing the return of investment using Hypothesis testing
  • Linear Regression Models for Financial Analysis
  • Building a model using multiple indices from the global markets and predicting the price changes

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