# Data Science - Education, Online Learning

Machine Learning Bootcamp: Hand-On Python in Data Science
Maths for Data Science by DataTrained
Power BI A-Z: Hands-On Power BI Training For Data Science!
Data Science For Product Managers 2023 Bootcamp

#### Machine Learning Bootcamp: Hand-On Python in Data Science

This course focuses on one of the main branches of Machine Learning that is Supervised Learning in Python. If you are not familiar with Python, there is nothing to worry about because the Lectures comprising the Python Libraries will train you enough and will make you comfortable with the programming language.The course is divided into two sections, in the first section, you will be having lectures about Python and the fundamental libraries like Numpy, Pandas, Seaborn, Scikit-Learn and Tensorflow that are necessary for one to be familiar with before putting his hands-on Supervised Machine Learning.Then is the Supervised Learning part, which basically comprises three main chapters Regression, Classification, and Deep Learning, each chapter is thoroughly explained, both theoretically and experimentally.During all of these lectures, we'll be learning how to use the different machine learning algorithms to create some mind-blowing modules of Machine Learning, and at the end of the course, you'll be trained enough that you would be able to develop you own Recognitions Systems and Prediction Models and many more.Let's get started!

#### Maths for Data Science by DataTrained

Overview: Explore the application of key mathematical topics related to linear algebra with the Python programming language.Expected Duration: After completion of this course, you should be able to accomplish the objectives from the following lessons and topics. 1. Lessons on Math for Data Science & Machine Learning: 2. Understand how to work with vectors in Python3. Basis and Projection of Vectors: Understand the Basis and Projection of Vectors in Python4. Work with Matrices: Understand how to work with matrices in Python5. Matrix Multiplication: Understand how to multiply matrices in Python6. Matrix Division: Understand how to divide matrices in Python7. Linear Transformations: Understand how to work with linear transformations in Python8. Gaussian Elimination: Understand how to apply Gaussian Elimination9. Determinants: Understand how to work with determinants in Python10. Orthogonal Matrices: Understand how to work with orthogonal matrices in Python11. Eigenvalues: Recognize how to obtain eigenvalues from eight decompositions in Python12. Eigenvectors: Recognize how to obtain eigenvectors from eigendecomposition in Python13. PseudoInverse: Recognize how to obtain pseudoinverse in Python

#### Power BI A-Z: Hands-On Power BI Training For Data Science! 