Brief Introduction
Learn how statistics plays a central role in the data science approach.
Description
This statistics and data analysis course will pave the statistical foundation for our discussion on data science.
You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.
Knowledge
- Data collection, analysis and inference
- Data classification to identify key traits and customers
- Conditional Probability-How to judge the probability of an event, based on certain conditions
- How to use Bayesian modeling and inference for forecasting and studying public opinion
- Basics of Linear Regression
- Data Visualization: How to create use data to create compelling graphics
The Complete Pandas Bootcamp 2021: Data Science with Python
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Pandas fully explained | 150+ Exercises | Must-have skills for Machine Learning & Finance | + Scikit-Learn and Seaborn ######### UPDATE (August 2021) ###########...
Business Statistics with Excel
- 3.5
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Learn business statistics from basic to expert level through a practical course with Excel. All of this while exploring the wisdom of best academics and practitioners in the field....
R Tidyverse Reporting and Analytics for Excel Users
- 4.6
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From Excel To Big Data and Interactive Dashboard Visualizations in 5 Hours If you use Excel for any type of reporting or analytics then this course is for you....
Foundations of marketing analytics
- 4.6
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Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts....
