'Our Journey With Data Science' is a book series for those interested in the field of Data Science. Written in simplest language, one would get an idea of the ingredients of Data Science recipe. Having said this, Data Science is a vast subject on its own and requires expertise to use this science at the optimal best.Data Science is emerging to be an integral part of our lives. Knowingly or unknowingly, we are leveraging the benefits of data science. With advancement in technologies and this being an era of big data, data science has become an even more prominent figure in our day-to-day lives. I've used the tools of data science and have seen the kind of leads one could get with it. With the demand for Data Scientists all set to increase, I wished to pen down what I've learnt in data science. I would like you to join this journey to know more about data science.Organization Of This Book: "Our Journey With Data Science" is a topic to be covered in a series of books, with Series I (Part A and Part B) being introductory for those who wish to introduce themselves to this field. It also has some important fundamentals covered about the components of data science that enable us in reaching the destination of decision making. This book - Part A (Introductory) of Series I book shall cover about: 1.Data science and Industries, 2.An introduction to R walking through basic concepts, following which the reader could explore the tool on their own, 3.A case study which highlights the importance of data science and that it is far more than just querying a database,4.Data Warehouse.The Series I - Part B (Introductory) shall cover topics on Data Mining, Statistics, Machine Learning that shall complete the journey of Data Science to enable decision making. Data Science is a core component of BI (Business Intelligence). Series I (Part A and Part B) are introductory. The Series II shall cover each of the Series I topic in detail. Data Science is a vast topic and Series I is written with an aim for one to understand the set of components that constitute Data Science.