This course covers a wide range of topics in data science, machine learning, Python, R, and deep learning. By the end of the course, students will have a strong understanding of statistics, probability, machine learning, data science, Python, R, time series analysis, artificial intelligence, and reinforcement learning. The teaching method includes video tutorials and lectures by experienced faculty. This course is intended for individuals looking to become data scientists, upskill in machine learning, or deepen their knowledge in Python, R, and data science.
Overview
Syllabus
Statistics for Data Science | Probability and Statistics | Statistics Tutorial | Ph.D. (Stanford).
Machine Learning with Python | Machine Learning Tutorial for Beginners | Machine Learning Tutorial.
Data Science Tutorial | Data Science for Beginners | Python for Data Science | 11 Hours Full Course.
Python for Data Science | Data Science with Python | Python for Data Analysis | 11 Hours Full Course.
Time Series Analysis | Time Series Forecasting | Time Series Analysis in R | Ph.D. (Stanford).
Artificial Intelligence Tutorial | Artificial Intelligence Tutorial for Beginners | AI Full Course.
Machine Learning Tutorial | Machine Learning Full Course | Learn Machine Learning | Great Learning.
Data Science For Beginners - Learn Data Science In 9 Hours | What is Data Science | Great Learning.
Reinforcement Learning Tutorial | Reinforcement Learning in Artificial Intelligence | Full Course.
Statistics for Machine Learning | Statistics Class 10 | Statistics for Data Science | Full Course.
Taught by
Great Learning
