Data analysis is the need of the hour. Data is nowadays considered as a fuel to develop different machine learning/statistical algorithms. According to Grand View Research, the global data analytics outsourcing market size was valued at US$2,006 million in 2017 and is expected to grow at a Compound Annual Growth Rate (CAGR) exceeding 22.8% from 2018 to 2025. The Data Analytics and Reporting course provides students with an introduction to data, the various steps involved in data preprocessing, and the tools used to analyse data. The course has two important objectives: (1) the use of tools and techniques to analyse data properties; (2) to extract relevant information from data and use different ways of reporting data. Data analysis is the cornerstone for any predictive analytics wherein the steps involved in getting clean model development data consume almost 90% of the entire project effort. This course helps students to derive insights from the data based on machine learning models and create reports. Hands-On A virtual hands-on environment is integrated within the course. Students will have to leverage this environment to complete the industry assignment as well as to complete the Part B section of the summative assessment.