No content
Sn | Topics | |
Probability | ||
01 | Probability | |
02 | Bayesian Analysis | |
Random Variables | ||
01 | Descriptive Statistics - Mean, Variance, Skewness, Kurtosis | |
02 | Properties of Random Variables | |
03 | Common Univariate Random Variable aka Probability Distributions | |
04 | Discrete Distributions - Uniform, Benoulli, Binomial, Poisson | |
05 | Continuous Distributions - Exponential, Gamma, Weibull, Beta | |
06 | Normal and Log normal Distributions | |
07 | Checking Distribution of Financial Returns | |
08 | Covariance & Correlation | |
Sampling Theory | ||
01 | Sampling Distributions | |
02 | Central Limit Theorem | |
Hypothesis Testing | ||
01 | Testing of Means & Difference of Means | |
02 | Testing of Variance | |
03 | Testing of ratio of Variance | |
04 | Bonferroni Test (Multiple Testing) | |
Regression | ||
01 | 7 Ways to get Regression Output | |
02 | ANOVA, Regression Statistics and Hypothesis Testing | |
03 | Gauss Markov Assumptions | |
04 | Detecting & Correcting Heteroskedasticity | |
05 | Detecting & Correcting Multicollinearity | |
06 | Detecting & Correcting Omitted Variable Bias | |
07 | Regression Output Uncertainity | |
Time Series Modelling | ||
01 | Time Series Mind Map | |
02 | Non Stationary Time Series - Trend & Seasonality | |
03 | Covariances for AR & MA Models | |
04 | Use of ACF & PACF | |
05 | ARMA Parameter Estimation using MLE | |
06 | Building ARMA forecasts | |
07 | Checking White Noise (Ljung Box & Box Pierce Q statistic) | |
08 | Forecasting accuracy of model | |
09 | Improving error terms by including ARCH GARCH terms |
No content
Ans. 1. Anyone with finance background like having studied some level of CFA FRM or actuaries can join this program.
Ans.2. Maths Primers and Python Primers have been included in the program, so no previous experience is expected.
Ans 3. This course is quite long & comprehensive only because we have covered the entire curriculum in 3 parts – theory discussion, visualisations in excel, practical implementation through hands-on session in excel & python
Ans.4. To get certificates you need to complete all topic wise assignments, master project and pass the Final exam.
Ans.5. You can take either 1 year access or lifetime access. Please note that lifetime access is chargeable extra
Ans.6 With this website we have integrated a customized P2T player that will allow you to play encrypted classes. There are no limitations on the number of views. Also the software is compatible with Windows, Mac, Android or iPhone
Ans.7. To interact with the trainer we have a dedicated forum ‘D-forum’. Any questions asked on D-forum are expected to be replied within 24 hours by trainers and team of moderators & experts.
Ans. 8. Presently we are conducting exams in Aug mid and Jan mid. You can choose any of the cohort. In case you are not able to pass the exam in one go, you can re-book at a nominal charge
Ans.9. Every class is supported by One note files, Excel sheets & Python notebooks, Assignments and Quizzes, all these are available in the course section only.
Ans. 10. You get Letter of Recommendation physically delivered to you within 60 days of passing the exam. LOR’s also mention the chosen specialisation with the project details.
No content
Sn | Topics | |
Probability | ||
01 | Probability | |
02 | Bayesian Analysis | |
Random Variables | ||
01 | Descriptive Statistics - Mean, Variance, Skewness, Kurtosis | |
02 | Properties of Random Variables | |
03 | Common Univariate Random Variable aka Probability Distributions | |
04 | Discrete Distributions - Uniform, Benoulli, Binomial, Poisson | |
05 | Continuous Distributions - Exponential, Gamma, Weibull, Beta | |
06 | Normal and Log normal Distributions | |
07 | Checking Distribution of Financial Returns | |
08 | Covariance & Correlation | |
Sampling Theory | ||
01 | Sampling Distributions | |
02 | Central Limit Theorem | |
Hypothesis Testing | ||
01 | Testing of Means & Difference of Means | |
02 | Testing of Variance | |
03 | Testing of ratio of Variance | |
04 | Bonferroni Test (Multiple Testing) | |
Regression | ||
01 | 7 Ways to get Regression Output | |
02 | ANOVA, Regression Statistics and Hypothesis Testing | |
03 | Gauss Markov Assumptions | |
04 | Detecting & Correcting Heteroskedasticity | |
05 | Detecting & Correcting Multicollinearity | |
06 | Detecting & Correcting Omitted Variable Bias | |
07 | Regression Output Uncertainity | |
Time Series Modelling | ||
01 | Time Series Mind Map | |
02 | Non Stationary Time Series - Trend & Seasonality | |
03 | Covariances for AR & MA Models | |
04 | Use of ACF & PACF | |
05 | ARMA Parameter Estimation using MLE | |
06 | Building ARMA forecasts | |
07 | Checking White Noise (Ljung Box & Box Pierce Q statistic) | |
08 | Forecasting accuracy of model | |
09 | Improving error terms by including ARCH GARCH terms |
No content
Ans. 1. Anyone with finance background like having studied some level of CFA FRM or actuaries can join this program.
Ans.2. Maths Primers and Python Primers have been included in the program, so no previous experience is expected.
Ans 3. This course is quite long & comprehensive only because we have covered the entire curriculum in 3 parts – theory discussion, visualisations in excel, practical implementation through hands-on session in excel & python
Ans.4. To get certificates you need to complete all topic wise assignments, master project and pass the Final exam.
Ans.5. You can take either 1 year access or lifetime access. Please note that lifetime access is chargeable extra
Ans.6 With this website we have integrated a customized P2T player that will allow you to play encrypted classes. There are no limitations on the number of views. Also the software is compatible with Windows, Mac, Android or iPhone
Ans.7. To interact with the trainer we have a dedicated forum ‘D-forum’. Any questions asked on D-forum are expected to be replied within 24 hours by trainers and team of moderators & experts.
Ans. 8. Presently we are conducting exams in Aug mid and Jan mid. You can choose any of the cohort. In case you are not able to pass the exam in one go, you can re-book at a nominal charge
Ans.9. Every class is supported by One note files, Excel sheets & Python notebooks, Assignments and Quizzes, all these are available in the course section only.
Ans. 10. You get Letter of Recommendation physically delivered to you within 60 days of passing the exam. LOR’s also mention the chosen specialisation with the project details.