Begin your journey in applied data science and machine learning with this blueprint — Part II

Are you interested in pursuing a career in applied data science and machine learning? After reading Part I, continue your learning journey with this article.

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Previously, in Part I of this series, we have discussed about the essential pre-requisites that you need to go through for practicing applied data science. Mostly we have covered about whether to choose Python or R (my preference being Python), if you are proceeding with Python, what exactly do you need to know in Python, learning SQL, Statistics for Data Science, and Data collection from different data sources. In this article, we will focus particularly on learning and applying various Machine Learning and Deep Learning techniques. Let’s dive in!

Exploratory Data Analysis and Data Processing

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Data science is all about gaining knowledge from your data and generating valuable insights for data driven decision making process.