IBM Data Science Learning path for FREE
In this video, you will learn about the wonderful IBM cognitive AI courses specially designed for future data scientists like you.
It is one of the best platforms to learn, get certified, and grow in the field of data science, machine learning, artificial intelligence, and cloud.
Courses I have talked about:
1. Introduction to Data Science: The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do, this field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
Link: https://cognitiveclass.ai/courses/dat...
2. Python for Data Science: This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. You'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment.
Link: https://cognitiveclass.ai/courses/pyt...
3. Statistics 101: Take this course and you won't fail statistics. Welcome to the Statistics 101 course, taught by Murtaza Haider, Assistant Professor at Ryerson University. Statistics is one of the most challenging topics to learn, but Murtaza brings a gentle introduction to statistics in practice. Learn about descriptive statistics, variance, probability, correlation, and data visualization.
Link: https://cognitiveclass.ai/courses/sta...
4. Machine Learning with Python: Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This free Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.
Link: https://cognitiveclass.ai/courses/mac...
5. Machine Learning - Dimensionality Reduction: Welcome to this machine learning course on Dimensionality Reduction. Dimensionality Reduction is a category of unsupervised machine learning techniques used to reduce the number of features in a dataset. Dimension reduction can also be used to group similar variables together. In this course, you will learn the theory behind dimension reduction, and get some hands-on practice using Principal Components Analysis (PCA) and Exploratory Factor Analysis (EFA) on survey data.
Link: https://cognitiveclass.ai/courses/cou...
6. Deep Learning Fundamentals: This free course presents a holistic approach to Deep Learning and answers fundamental questions about what Deep Learning is and why it matters.
Link: https://cognitiveclass.ai/courses/int...
7. Deep Learning with TensorFlow: Majority of data in the world are unlabeled and unstructured data, for instance images, sound, and text data. Shallow neural networks cannot easily capture relevant structure in these kind of data, but deep networks are capable of discovering hidden structures within these data. In this course, you will use TensorFlow library to apply deep learning on different data types to solve real world problems.
Link: https://cognitiveclass.ai/courses/cou...
8. Introduction to Cloud: This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from both business and practitioner perspectives.
Link: https://cognitiveclass.ai/courses/int...
All description has been taken from https://cognitiveclass.ai/ website.
Data Driven Decisions Quora: https://datadrivendecisions.quora.com/
LinkedIn: / soumyabratar