Statistics for Data Scientists and Data Analysts
- 3.8
-
![]()
![]()
![]()
![]()
Brief Introduction
In 30 min or less you will learn how to use Histograms, Box Plot and Descriptive Stats to make data driven decisions.Description
Learn how to make data driven decisions in 35 minutes or less with this new and exciting course. In this course you will be following along with the instructor instead of just watching. This course is also comprised entirely of examples so following along will be pretty easy. I was very excited to make this course. I'm very excited to share it with you and I hope to see you all inside.
Requirements
- Requirements
- R Studio
Phikolomzi Gugwana
3.8 Raiting
Machine Learning & Deep Learning in Python & R
- 4.4
-
![]()
![]()
![]()
![]()
![]()
Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R You've found the right Machine Learning course!...
Learning Path: Python: Predictive Analysis with Python
- 3.9
-
![]()
![]()
![]()
![]()
![]()
Manipulate, analyze, and visualize your data with powerful Python libraries - Pandas and scikit-learn Predictive analytics is the process of analyzing historical data to estimate the future results....
Data Manipulation at Scale: Systems and Algorithms
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. At the end of this course, you will be able to:...
Introduction to Data Engineering
- 4.7
-
![]()
![]()
![]()
![]()
![]()
This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering....
