Business Data Analytics Specialization Bootcamp

Bootcamp AI

About This Course

3 months program

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…


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You can share your Certificates in the Certifications section of your LinkedIn profile, on your printed resume, or in other documents.



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.


603 Lessons

Part 01-Module 01-Lesson 02_Program Overview

In this course, we give you a framework to help you organize and plan your analytical approach. We also introduce both simple Linear Regression and Multiple Linear Regression.
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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

Data Wrangling is at the core of all data activity. In this course you learn how to work with different data types,dirty data, and outliers. You will also learn how to reformat data and join data from different sources together.

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

Classification models are a powerful tool for business analyst. In this course, you learn more about binary and non-binary classification models and how to use them to drive business insights.

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

Helping businesses make the best decisions is an essential part of Business Analysis. Planning and executing the analysis of an AB test allow you to provide confident recommendations. In this course, you learn how to create, execute, and analyze an AB test.

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

Time Series Forecasting is a powerful analytical tool. In this course, you learn how ETS and ARIMA models are used to forecast data and how they deal with trends and seasonality. These skills will be evaluated in the final project.

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

Segmentation and Clustering are effective methods for finding patterns in your data. In this course, you learn how to prepare data to be clustered appropriately and interpret results.

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

data analytics boot
603 lectures
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