Nanodegree Business Data Analytics

Bootcamp AI

About This Course

This program is an excellent program for non-technical people who want to make more data driven decisions. You’ll learn data analysis skills and tools that will help you throughout your career, whether you’re in engineering, sales, marketing, operations, etc. You’ll learn to use Excel, SQL, and Tableau to manipulate, analyze, and visualize data with the end goal of making better, data-informed decisions. This program is also great preparation for more advanced programs, such as the Data Analyst or Predictive Analytics for Business Nanodegree programs.

Learning Objectives

This Nanodegree program is well-suited for those those looking to apply data skills in their current roles. It is also a great first step on a journey to becoming a data analyst or data scientist. We have more courses that will pick up from where this course leaves off to help you become ready for a career in data science.

Target Audience

  • Data is a transformational force in every business and analysis of data has become a mandatory skill to have to provide value in any organization. This Nanodegree program offers an introduction to the world of data. If you are just beginning learning about data, this is the course for you.


835 Lessons

Part 01-Module 01-Lesson 02_Program Overview

01. Meet Your Program Hosts00:00:00
02. The Nanodegree Map00:00:00
Connecting with Your Community
Access the Career Portal
Prepare for the Bootcamp AI Talent Program
How Do I Find Time for My Nanodegree?
Slack Community

Part 01-Module 01-Lesson 03_Predicting Diamond Prices

Part 01-Module 02-Lesson 01_The Analytical Problem Solving Framework

Part 01-Module 02-Lesson 02_Selecting an Analytical Methodology

Part 01-Module 02-Lesson 03_Linear Regression

Part 01-Module 02-Lesson 04_Practice Project

Part 01-Module 03-Lesson 01_Predicting Catalog Demand

Part 02-Module 01-Lesson 01_Understanding Data

Part 02-Module 01-Lesson 02_Data Issues

Part 02-Module 01-Lesson 03_Data Formatting

Part 02-Module 01-Lesson 04_Data Blending

Part 02-Module 01-Lesson 05_Practice Project

Part 02-Module 01-Lesson 06_Create an Analytical Dataset

Part 02-Module 02-Lesson 01_Selecting Predictor Variables

Part 02-Module 02-Lesson 02_Select Location of a New Petstore

Part 03-Module 01-Lesson 01_Intro to Data Visualization

Part 03-Module 01-Lesson 02_Design

Part 03-Module 01-Lesson 03_Data Visualizations in Tableau

Part 03-Module 01-Lesson 04_Making Dashboards Stories in Tableau

Part 03-Module 01-Lesson 05_Visualizing Movie Data

Part 05-Module 01-Lesson 01_Classification Problems

Part 05-Module 01-Lesson 02_Binary Classification Models

Part 05-Module 01-Lesson 03_Non-Binary Classification Models

Part 05-Module 01-Lesson 04_Predicting Default Risk

Part 06-Module 01-Lesson 01_AB Testing Fundamentals

Part 06-Module 01-Lesson 02_Randomized Design Tests

Part 06-Module 01-Lesson 03_Matched Pair Design Tests

Part 06-Module 01-Lesson 04_Matched Pair Practice

Part 06-Module 01-Lesson 05_AB Test a New Menu Launch

Part 08-Module 01-Lesson 01_Fundamentals of Time Series Forecasting

Part 08-Module 01-Lesson 02_ETS Models

Part 08-Module 01-Lesson 03_ARIMA Models

Part 08-Module 01-Lesson 04_Analyzing and Visualizing Results

Part 08-Module 01-Lesson 05_Forecast Video Game Sales

Part 09-Module 01-Lesson 01_Segmentation Fundamentals

Part 09-Module 01-Lesson 02_Preparing Data for Clustering

Part 09-Module 01-Lesson 03_Variable Reduction

Part 09-Module 01-Lesson 04_Clustering Models

Part 09-Module 01-Lesson 05_Validating and Applying Clusters

Part 09-Module 02-Lesson 01_Segmenting the Countries of the World

Part 09-Module 03-Lesson 01_Combining Predictive Techniques

Part 10-Module 01-Lesson 01_Basic SQL

Part 10-Module 01-Lesson 02_SQL Joins

Part 10-Module 01-Lesson 03_SQL Aggregations

Part 10-Module 01-Lesson 04_SQL Subqueries Temporary Tables

Part 10-Module 01-Lesson 05_SQL Data Cleaning

Part 10-Module 01-Lesson 06_[Advanced] SQL Window Functions

Part 10-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning

Part 10-Module 01-Lesson 08_Create Reports from a Database

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835 lectures

Enrolment validity: Lifetime

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