Data Science is a multi-disciplinary field that make use of mathematical methods, processes, systems, and algorithms to extract knowledge or business intelligence from structured or unstructured data.
Data is everywhere nowadays from social media platforms to banking systems. And for businesses it is quite important to understand the data and gain business intelligence to improve the overall customer experience. The concepts, process, and methods with which the knowledge is extracted from the structured and unstructured data is called Data Science.
Data Science is base for Machine Learning. It is a field of study in which computers/systems gain the capability to learn itself through programming. Machine Learning make use of past data to do predictive analysis and learn itself to predict the future outcomes and take appropriate actions.
I am starting a course on Data Science & Analytics and Machine Learning and will soon start posting articles and tutorials on various data science applications as listed below. I kindly invite you to my learning journey to become a good Data Scientist.
Road map for Data Science and Machine Learning course
Module 1: Excel – Charts, Functions, VBA Macros, etc.
Module 2: MS SQL – RDBMS Concepts and SQL.
Module 3: Tableau – Introduction to Tableau, advance reports, interactive dashboards, etc.
Module 4: MS VBA – Functions, Procedures, Error Handling, etc.
Module 5: R – Data Mining and Modelling.
Module 6: R – Machine Learning
Module 7: Python – Basics, Statistical analysis in Python, etc.
Module 8: Python – Machine Learning using Python with applications.
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