Inferential statistical Analysis & Exploratory Data analysis of Fifa and Mobile_Network dataset (Hypothesis testing)

Objectives -

• To understand the data using descriptive statistics using pandas, Numpy.
• Derive Insights based on descriptive statistics.
• To visualize data using Matplotlib & Seaborn liabraries.
• To test hypothesis on samples of different features and check for dependencies.
• To understand Parametric & Non-parametric hypothesis testing.

Outcomes -

• Getting ability to transform a given problem to Hypothesis to make inference
• Understanding the need & applicability of Hypothesis testing
• Assumptions before testing hypothesis
• Formulation of Hypothesis
• Sampling distribution, Standard Error, Confidence Interval, ANNOVA, KRUSKAL-WALLIS, T-tests, Chi-square test.