Ahirjoy's Blog

It is very easy to become confused when you start your data science journey. However the problem is not dearth of study materials, but having too many of them! It is almost impossible to find the best in the heap and becoming frustrated is natural.   As I had started my data science journey 6 months back, I am providing list of only three best resources in each area which really helped me a lot for steady progress. I hope it will help you also to declutter your confusions and come up with an actionable plan.   A.       Books:   1.        Python Machine Learning by Sebastian Raschke 2.        Think Stats – Exploratory Data Analysis in Python   – Allen B Downey 3.        Introduction to Statistical Learning – by Gareth James (for R)   B.       Courses:   1.        CS109 – Data Science by Harvard (For more advanced, CS229 – ML by Stanford) 2.        Machine Learning by Stanford University – Coursera 3.        Machine Learning A-Z, Hand on Python &

We always envisage competition among organization’s as a fiercely competitive war of strategy which is based on Porter’s famous Five forces model (given below) and that does not help any of the organizations’ much.   The Entry of Competitors: The Threat of Substitutes: The Bargaining Power of Buyers: The Bargaining Power of Suppliers: The Rivalry Among Existing Players:   However according to famous strategists W. Chan Kim and Renee Mauborgne, the best way to beat the competition is to stop trying to beat the competition. Market can be classified into two categories - Red and Blue Ocean. Red ocean signifies already occupied and fiercely competitive market which has been described earlier. However Blue Ocean refers to unexplored market/possibilities which will provide maximum profit to the organization through right strategy and innovation.   Below are the considering factors for leveraging Blue Ocean Strategy: i.                      Explore redund

An excellent Beginner's Guide to the Data Science by Randy Lao, https://www.linkedin.com/pulse/life-data-science-osemn-randy-lao