Quantitative Analysis - FRM - Part - 1
Special Quants Recorded Lectures: Exam-focused, concise content with 6 months access (extendable at a nominal fee). Note: Payments are non-refundable—clarify doubts before purchase.
₹5999.00
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Course Overview
✅For candidates who are finding Quantitative Analysis tough, please DM, we are offering special package of Quants lectures recordings.
✅ Preparation super concise with exam, all unwanted information which can be super confusing for engineering student has been removed.
✅To make your preparation efficient and aligned with exam.
✅Sometimes students prepare completely in an unwanted direction which leads them to surprises in the exam.
✅Access will be given for six months, can be extended at nominal price.
✅All these problems have been addressed in the offered package.
✅Money paid once will not be returned in any circumstances, please get your doubts cleared before buying.
✅Sample Video : https://youtu.be/TFdzp8oRaUM?si=2VQxua-MC1huBJ1P
Schedule of Classes
Course Curriculum
1 Subject
Quantitative Analysis
29 Learning Materials
1_WK1_LO1_Fundamentals of Probability_Class
1_WK1_LO1_Fundamentals of Probability_Class
1_WK1_LO1_Fundamentals of Probability_Class
2_WK1_LO2_Random Variables-Class
2_WK1_LO2_Random Variables-Class
2_WK1_LO2_Random Variables-Class
3_WK1_LO3_Common Univariate Random Variables-Class
3_WK1_LO3_Common Univariate Random Variables-Class
3_WK1_LO3_Common Univariate Random Variables-Class
3_WK1_LO3.1_Multivariate Random Variables-Class
3_WK1_LO31_Multivariate Random Variables-Class
3_WK1_LO3.1_Multivariate Random Variables-Class
4_WK1_LO4_Sample Moments-Class
4_WK1_LO4_Sample Moments-Class
4_WK1_LO4_Sample Moments-Class
5_WK2_LO1_Hypothesis Testing-Class
5_WK2_LO1_Hypothesis Testing-Class
5_WK2_LO1_Hypothesis Testing-Class
6_WK2_LO2_Linear Regression-Class
6_WK2_LO2_Linear Regression-Class
6_WK2_LO2_Linear Regression-Class
7_WK2_LO3_Regression with Multiple Explanatory Variables-Class
7_WK2_LO3_Regression with Multiple Explanatory Variables-Class
7_WK2_LO3_Regression with Multiple Explanatory Variables-Class
8_WK2_LO4_Regression Diagnostics-Class
8_WK2_LO4_Regression Diagnostics-Class
9_WK3_LO1_Stationary Time Series-Class
9_WK3_LO1_Stationary Time Series-Class
9_WK3_LO1_Stationary Time Series-Class
10_WK3_LO2_Non-Stationary Time Series-Class
10_WK3_LO2_Non-Stationary Time Series-Class
10_WK3_LO2_Non-Stationary Time Series-Class
11_WK3_LO3_Measuring Returns-Class
11_WK3_LO3_Measuring Returns-Class
11_WK3_LO3_Measuring Returns-Class
12_WK3_LO4_Simulation and Bootstrapping-Class
12_WK3_LO4_Simulation and Bootstrapping-Class
13_WK4_LO1_Machine Learning Methods-Class
13_WK4_LO1_Machine Learning Methods-Class
13_WK4_LO1_Machine Learning Methods-Class
14_WK4_LO2_Machine Learning and Prediction-Final-Class
14_WK4_LO2_Machine Learning and Prediction-Final-Class
14_WK4_LO2_Machine Learning and Prediction-Final-Class
14_WK4_LO21_Machine Learning and Prediction-Final-Class
Course Instructor
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Finuture
39 Courses • 887 Students
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