Coursera - Fundamentals of Quantitative Modeling

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655.52 MB | 00:20:27 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
1  1 1 Course Introduction  (17.02 MB)
2  1 2 Definition and Uses of Models Common Functions  (34.36 MB)
3  1 3 How Models Are Used in Practice  (32.94 MB)
4  1 4 Key Steps in the Modeling Process  (19.15 MB)
5  1 5 A Vocabulary for Modeling  (21.96 MB)
6  1 6 Mathematical Functions  (40.93 MB)
7  1 7 Summary  (17.4 MB)
1  2 1 Introduction to Linear Models and Optimization  (40.1 MB)
2  2 2 Growth in Discrete Time  (13.57 MB)
3  2 3 Constant Proportionate Growth  (29.23 MB)
4  2 4 Present and Future Value  (32.2 MB)
5  2 5 Optimization  (27.48 MB)
6  2 6 Summary  (15.83 MB)
1  3 1 Introduction to Probabilistic Models  (28.12 MB)
10  3 10 The Normal Distribution  (11.37 MB)
11  3 11 The Empirical Rule  (17.62 MB)
12  3 12 Summary  (8.6 MB)
2  3 2 Examples of Probabilistic Models  (2.74 MB)
3  3 3 Regression Models  (7.62 MB)
4  3 4 Probability Trees  (8.21 MB)
5  3 5 Monte Carlo Simulations  (13.05 MB)
6  3 6 Markov Chain Models  (15.99 MB)
7  3 7 Building Blocks of Probability Models  (15.7 MB)
8  3 8 The Bernoulli Distribution  (12.38 MB)
9  3 9 The Binomial Distribution  (33.19 MB)
1  4 1 Introduction to Regression Model  (13.53 MB)
2  4 2 Use of Regression Models  (34.79 MB)
3  4 3 Interpretation of Regression Coefficients  (6.42 MB)
4  4 4 Rsquared and Root Mean Squared Error RMSE  (27.22 MB)
5  4 5 Fitting Curves to Data  (15.73 MB)
6  4 6 Multiple Regression  (17.18 MB)
7  4 7 Logistic Regression  (15.22 MB)
8  4 8 Summary of Regression Models  (8.28 MB)

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