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Business Analytics

Nanodegree Program

In this program, students will master data fundamentals applicable to any industry and learn to make data-driven decisions. From collecting and analyzing data to modeling business scenarios, students will learn Excel, SQL, and Tableau, utilizing data visualization skills to communicate findings.

In this program, students will master data fundamentals applicable to any industry and learn to make data-driven decisions. From collecting and analyzing data to modeling business scenarios, students will learn Excel, SQL, and Tableau, utilizing data visualization skills to communicate findings.

Beginner

2 months

Real-world Projects

Completion Certificate

Last Updated June 28, 2024

Skills you'll learn:
Basic spreadsheet use • Business KPIs • SQL aggregations • SQL joins
Prerequisites:

No experience required

Courses In This Program

Course 1 1 week

Welcome to the Nanodegree Program

Welcome to the program! In this part, you will get an orientation into using our classroom and services. You’ll also get advice for making the best use of your time while enrolled in this program.

Lesson 1

Welcome to Business Analytics

Welcome to the Business Analytics Nanodegree program! In this lesson, you will learn more about the structure of the program and meet the team.

Lesson 2

Nanodegree Orientation

In this lesson, you will learn more about the structure of the program and how to navigate yourself through the learning experience.

Lesson 3

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 4

Get Help with Your Account

What to do if you have questions about your account or general questions about the program.

Lesson 5 • Project

Working with data

In this project, you’ll explore an interactive data dashboard to uncover insights, and write a short report explaining each insight.

Course 2 3 weeks

Introduction to Data

Learn the basic concepts of data analysis and descriptive statistics. Learn how to manipulate, analyze and visualize data in Excel and Google Sheets. Learn about business metrics across a wide range of business areas (marketing, sales, growth and finance). Finally, learn about forecasting sales and financial metrics.

Lesson 1

Descriptive Statistics - Part I

In this lesson, you will learn about data types, measures of center, and the basics of statistical notation.

Lesson 2

Descriptive Statistics - Part II

In this lesson, you will learn about measures of spread, shape, and outliers as associated with quantitative data. You will also get a first look at inferential statistics.

Lesson 3

Spreadsheets 1: Getting Started

In this lesson, you will learn about the basic functionality for spreadsheet software, use cell referencing and menu shortcuts.

Lesson 4

Spreadsheets 2: Manipulate Data

In this lesson, you will learn basic spreadsheet function: sort and filter data, use text and math functions, split columns and remove duplicates.

Lesson 5

Spreadsheets 3: Analyze Data

In this lesson, you will learn how to summarize data with aggregation and conditional functions. You will learn how to use pivot tables and lookup functions.

Lesson 6

Spreadsheets 4: Visualize Data

In this lesson you will build data visualizations for quantitative and categorical data; create pie, bar, line, scatter, histogram, and boxplot charts, and build professional presentations.

Lesson 7

Business Metrics

This lesson will cover how to calculate business metrics used by business analysts across a range of business functions. You will also learn how to calculate and interpret key performance metrics.

Lesson 8

Excel Modeling

This lesson will cover the fundamentals of sales and financial forecasting models. You will learn how to create forecast models using advanced lookup and data validation tools in Excel and Sheets.

Lesson 9 • Project

Project: Analyze NYSE Data

In this project, you will use a data set containing financial performance data from companies listed in NYSE S&P to create an income statement and forecast financial metrics.

Course 3 3 weeks

Using SQL for Data Analysis

SQL is one of the most versatile tools available when it comes to extracting insights from stored data. Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. Understand when and how to use subqueries, several window functions, and partitions to complete complex tasks. Clean data, optimize SQL queries, and write select advanced JOINs to enhance analysis performance. Explain which cases you would want to use particular SQL commands and apply the results from queries to address business problems.

Lesson 1

Intro to Using SQL for Data Analysis

This is a quick summary of what is covered in this course.

Lesson 2

Basic SQL

In this section, you will gain knowledge about SQL basics for working with a single table. You will learn the key commands to filter a table in many different ways.

Lesson 3

SQL Joins

In this lesson, you will learn how to combine data from multiple tables together.

Lesson 4

SQL Aggregations

In this lesson, you will learn how to aggregate data using SQL functions

Lesson 5

SQL Subqueries & Temporary Tables

In this lesson, you will learn about subqueries, a fundamental advanced SQL topic. This lesson will walk you through the appropriate applications of subqueries, the different types of subqueries, and review subquery syntax and examples.

Lesson 6

SQL Window Functions

Window functions allow users to compare one row to another without doing any joins using one of the most powerful concepts in SQL data analysis.

Lesson 7

SQL Data Cleaning

Cleaning data is an important part of the data analysis process. You will be learning how to perform data cleaning using SQL in this lesson.

Lesson 8 • Project

Query a Digital Music Store Database

In this project, you will use a digital music store database to help the company see how they might optimize their business practices.

Course 4 1 week

Data Visualization in Tableau

Learn how to select the most appropriate data visualization for an analysis. Learn how to evaluate the effectiveness of a data visualization and build interactive and engaging Tableau dashboards.

Lesson 1

Data Visualization Fundamentals

In this lesson you learn to evaluate the quality of data visualizations and build high quality visualizations, starting with the fundamentals of data dashboards.

Lesson 2

Design Principles

In this lesson you learn to implement the best design practices, and to use the most appropriate chart for a particular situation.

Lesson 3

Creating Visualizations in Tableau

This lesson teaches you how to build data visualizations in Tableau using data hierarchies, filters, groups, sets, and calculated fields, as well as create map-based data visualizations in Tableau.

Lesson 4

Telling Stories with Tableau

In this lesson you learn how to build interactive Tableau dashboards and tell impactful stories using data.

Lesson 5 • Project

Build a Data Visualization project

In this project, you’ll build interactive dashboards with Tableau and use them to discover and communicate insights from data.

Taught By The Best

Photo of Josh Bernhard

Josh Bernhard

Staff Data Scientist

Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.

Photo of Derek Steer

Derek Steer

CEO at Mode

Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.

Photo of Mat Leonard

Mat Leonard

Content Developer

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

Photo of Dana Sheahan

Dana Sheahan

Content Developer

Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.

Photo of Sam Nelson

Sam Nelson

Product Lead

Sam is the Product Lead for Udacity's Data Analyst, Business Analyst, and Data Foundations programs. He's worked as an analytics consultant on projects in several industries, and is passionate about helping others improve their data skills.

Ratings & Reviews

Average Rating: 4.8 Stars

1,194 Reviews

Anonymous

April 2, 2023

excellent. but you need more interaction with your student

MOHAMMAD A.

March 13, 2023

so far very good

Edi V.

January 28, 2023

Yes, am impressed. Thank you

Shaden A.

December 26, 2022

Excellent

sultan n.

December 17, 2022

simple and clear

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