In this module, you will learn about fundamentals of data and the importance of data analytics in business. You will also learn about the python installation process and the measure of central tendency.

In this module, you will learn about the different ways of assigning probability including marginal and conditional probability. You will also learn about the properties of probability distribution.

In this problem, you will about how problems are solved using probability distribution. You will also learn about the types of sampling, the differences between inferential and descriptive statistics.

In this module, you will learn how to develop the different types of hypothesis. You will also learn about the errors encountered during hypothesis testing.

In this module, you will learn about the two sample tests and how to conduct hypothesis tests for population means. You will also learn about analysis of variance and its use with data analytics.

You need to score 80% or more to pass this module.

In this topic, you will learn about how to design and conduct experiments involving randomized complete block designs. You will also learn about how to design and conduct engineering experiments involving several factors using the factorial design approach.

In this module, you will learn about point and interval estimation alongside its use in the prediction of the regression model. You will also learn about the multiple regression model and the least square methods.

In this module, you will be introduced to the intuition and reasoning behind the principle of maximum likelihood. You will learn about how to build the logistic regression model and the logistic regression equation.

In this module, you will learn how to how to check the performance of a logistic regression model. You will also learn about the relationship between sensitivity and specificity.

In this module, you will learn about application and uses of the chi square test. You will also learn how python can be used for goodness of fit for uniform distribution or normal distribution.

You need to score 80% or more to pass this module.