Essentials of Programmning, Mathematics and Statistics to get started with Data Science and Machine Learning. What you'll learn Learn the essentials - the three main pillars of data science and ML - Programming, Math, and Statistics. Everything from basic data structures to data extraction using python programming. Learn to work with data libraries: NumPy, Pandas, Matplotlib, and Seaborn. How linear algebra and calculus underpin the training of ML models. How Statistics enables you to describe data and quantify uncertainty in an experiment. Cover all pre-requisites and pre-work before starting any Google’s(or any) data science or ML program. Build models from scratch, learn the math behind, program Description To have a successful, long-lasting career in Data Science or Machine Learning, you'll need a solid understanding of the three pillars of DS and ML namely, Programming, Math, and Statistics. The course is based on Google's recommendations before starting any ML course. It is a comprehensive yet compact course that not only covers all the essentials, pre-requisites, & pre-work but also explains how each concept is used computationally and programmatically (python). We follow the following path in this course: Learn to set up a professional python environment Learn to program in python using fundamental data structures and methods. Learn to work with data science libraries NumPy for Multidimensional Arrays Pandas for Data Manipulation Matplotlib and Seaborn for Data Visualization Basics of Algebra - From variables to all important functions Linear Algebra for Machine Learning - data representation, vector norms, solving linear regression problems. Calculus that trains ML models - learn how gradient descent works to minimize the loss function. Training a linear regression model from scratch without using any ML package Statistics, data distributions, and basics of probability After completing this course, you'll be ready to straight away start working on: Data Analysis projects Pick up any ML course Start with a Data Science course Start with the Predictive analytics course Enroll for any fast-paced Bootcamp course after covering all the basics.