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
Specification: Foundations of Data Science & Machine Learning
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Price | $12.99 |
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Provider | |
Duration | 21 hours |
Year | 2022 |
Level | Beginner |
Language | English ... |
Certificate | Yes |
Quizzes | No |
$44.99 $12.99
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