Data Science and Machine Learning For Beginners with Python

Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information . Data is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product,policy or systems development.   Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it's flexibility. Python is used a lot in data science.  Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. In this course, we'll explore some basic machine learning concepts and load data to make predictions.We will also be using SQL to interact with data inside a PostgreSQL Database.What you'll learnUnderstand Data Science Life CycleUse Kaggle Data SetsPerform Probability SamplingExplore and use Tabular DataExplore Pandas DataFrameManipulate Pandas DataFramePerform Data CleaningPerform Data VisualizationVisualize Qualitative DataExplore Machine Learning FrameworksUnderstand Supervised Machine LearningUse machine learning to predict value of a houseUse Scikit-LearnLoad datasets