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Live Online Training Details

  • Start Date 01/25/2021
  • Start Time 04:00 PM
  • End Date 02/05/2021
  • End Time 07:00 PM
  • Location Live Online

About Live Online Course

Live Online Instructor-Led 30-Hours Training On

Financial Data Analysis, Time Series & Algorithm Trading

Starting Date: From 25th Jan: Training Timing: 4 PM to 7 PM IST

Duration: Total 30 Hours live Training (3 Hours / each Day) [10-days]

TRAINING SNAPSHOT (30-HOURS):

TERM

          TOPICS

        TERM1

  • Financial Analysis Introduction
  • Python Programming

TERM 2

  • Working With Numpy
  • Data Manipulation – Cleansing – Munging Using Panda
  • Data Analysis – Visualization Using Python

TERM 3

  • Implementation of Stats Methods
  • Machine Learning Foundation
  • Machine Learning Algorithms & Applications

TERM 4

  • Time Series Fundamentals
  • Simple Time Series
  • Arima & Sarima – Time Series Forecasting

TERM 5

  • Introduction to Portfolio Allocation Risk Management
  • Finance Fundamentals & Strategy
  • Better Investment Decisions – Piotroski F-Score
  • Quant Finance

TRAINING PROJECTS:

TRAINING PROJECTS

  TERM1

&

TERM2

  • Facebook Shares Time Series Data with interesting insights.
  • EDA, Data Mangling and Visualizing using Microsoft Financial Data.
  • Insights & Analysis Daily Percentage Change, Cumulative Daily Returns, Comparing Daily Returns using Stock Data

TERM3

  •  Hypothesis Testing, P-Value, Estimate Average Stock Return on Financial Data
  • Forecasting Google Shares: Regression Analysis & Predictive using on Google Shares Price

    TERM 4

  • Car Stock Market Analysis: Analyzing stock data related to car companies like Tesla vs Ford vs GM from Jan 2012 to Jan 2020.
  • Stats Model Analysis: Decomposition, Stationarity Testing, Differencing, Autocorrelation Plots, and Interpretation.
  • Monthly Production Forecasting: ARIMA and SARIMA monthly Production Time Series Forecasting.

    TERM 5

  • Financial Portfolio Allocation and Optimization: Portfolio Values, Statistics, Sharpe Ratio.
  • Piotroski F-score: F-Score calculation, how good Piotroski F-score predicts stock returns, Plotting the Piotroski F-Score.
  • Trading Strategy on Financial Data: Implementation of Financial Backtesting, First Trading Algorithm

Training Highlights

  • 30+ Hours live online Instructor-led Hands-on based learning with Projects.
  • Training includes training material, PPT’s, Project code & Training Recording.
  • A training certificate of completion will be provided to each Attendee.



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