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• Regression Model Analyze a business problem in the mail-order catalog business in order to predict how much money a company can expect to earn from sending out a catalog to new customers. • Data Wrangling Perform an analysis to recommend the city for Pawdacity’s newest store, based on predicted yearly sales which require to blend and format data and deal with outliers. After that use date to create linear regression model. • Classification Models Classify new customers on whether they can be approved for a loan or not for a list of creditworthy customers to your manager. • A/B Testing Analyze the A/B test and write up a recommendation to whether the Round Roasters chain should launch this new menu. • Time Series Forecasting and Segmentation and Clustering Provide analytical support to make decisions about store cluster and inventory planning. In addition, predict the cluster for each of the new store’s demographic data. Finally, predict accurately monthly sales forecast. • Investigate a Dataset Performing an investigation using python on data and get insight about it. • Practical Statistics (Analyze A/B Test Results) Use an A/B test to determine if company (an e-commerce website) should implement the new page design or continue to use old page and analyze. The goal is to help company to take decision based on data not base on personal judgment. • Data Visualization (Communicate Data Findings) Analyze data for flight by performing an exploratory data analysis in Python (bivariate , univariate and multivariate).

Project2: Investigate a Dataset Performing an investigation using python on data and get insight about it. Part 3: Practical Statistics (Analyze A/B Test Results) Use an A/B test to determine if company (an e-commerce website) should implement the new page design or continue to use old page and analyze. The goal is to help company to take decision based on data not base on personal judgment. Part 4: Data Wrangling (Wrangle and Analyze Data) Gather data from a variety of sources and in a variety of formats for weratedog tweeter account and then assess its quality and tidiness, then clean it. After that I visualize my data to get accurate analysis of data. Part 5: Data Visualization (Communicate Data Findings) Analyze data for flight by performing an exploratory data analysis in Python ( bivariate , univariate and multivariate).