This Data Analysis Project is a Real Industry Case Simulating the Launch of a Credit Card for a Bank.

Dataset Has More Than 50000+ Records.

The Project Consisted of 2 Main Phases:

The main task of the phase is to analyze the data and determine the target audience for our product. Includes:

1) Data preparation

1.1 Data cleaning (Handling Null Values),

1.2 Outlier Treatment (IQR, STD DEV, Mode),

1.3 Data Visualization (Histogram, Countplots)

2) Data analysis

2.1 Distributions (Normal, Skewness),

2.2 Exploratory analysis (Pandas, Seaborn, Matplotlib),

2.3 Measures of Central Tendency, Measures of Dispersion

The main task of the phase is to make trial run of our new credit card on a small group and make a hypothesis testing on results. Includes:

1) Execute campaign

1.1 Launch campaign for specific customers

2) Post-campaign, data collection

2.1 Collect transactions from target and control customer

3) Hypothesis testing and decision

3.1 Central Limit Theorem,

3.2 Random Sampling and Sampling Bias,

3.3 Hypothesis testing,

3.4 Confidence Intervals, P value,

3.5 Z test, A/B Testing,

3.6 One and Two Tail Test,

3.7 Standard Error, Type 1 and Type 2 Errors,

3.8 Stat. Power, Effect Size