# Data Analytics Foundations Course Online (Self-Paced)

Canonical URL: <https://www.creativelive.com/classes/data-analytics-foundations-online>

## Overview

### Build a Strong Foundation in Data Analytics

This beginner-level course introduces the key stages of the data analytics process, covering essential topics such as descriptive and inferential statistics and data distribution concepts.

### Discover How Data Drives Decisions

Explore how organizations use predictive and prescriptive analytics to guide strategic decisions. Learn about the tools commonly used in industry and the growing role of big data in business operations.

### Dive into Statistical Analysis and Modeling

Examine core statistical methods, including foundational algorithms, theorems, and models used for data analysis and forecasting.

## What you'll learn

- Understand core statistical concepts including measures of central tendency, data dispersion, and the normal curve
- Explore descriptive and inferential statistics, including probability distributions like binomial and Poisson
- Learn to analyze and forecast data using correlation, linear regression, and multiple regression techniques
- Apply predictive analytics with tools like trendlines, moving averages, and scenario modeling
- Create clear data visualizations using charts, histograms, icon sets, color scales, sparklines, and pivot tables
- Discover prescriptive analytics techniques such as Solver and linear programming to optimize decision-making

## Prerequisites

Students should feel comfortable using Excel at a basic level. Experience equal to our [Excel Level II: Intermediate](https://www.nobledesktop.com/classes/intermediate-excel-classes) class is strongly recommended, but not required.

## Curriculum

### Basic Data Analysis

- Measures of Central Tendency
- Measures of Position
- Measures of Dispersion
- The Normal Curve
- Descriptive Statistics

### Predictive Analytics I

- Forecasting
- Series Forecast

### Data Visualization I

- Charts
- Icon Sets
- Histograms
- Moving Average

### Predictive Analytics

- Correlation
- Regression - overview
- Regression - analysis
- Linear regression
- Multiple regression

### Probability

- Probability I
- Probability II
- Binomial Probability
- Poisson Probability

### Prescriptive Analytics I

- What If Analysis
- Data Table (3 variables)
- Scenario Manager
- Scenario Manager - Pivot

### Data Visualization II

- Sparklines
- Color Scales
- Drawing Shapes
- Pivot Tables
- Pivot Charts

### Prescriptive Analytics II

- Solver - overview
- Linear Programming
- The Solver model
- Non-Linear Programming
- Evolutionary Solver

## Pricing

**Tuition:** $595