Skills you'll learn:
Business Analytics
Nanodegree Program
Master essential data analysis skills to drive informed business decisions across industries. This program covers data fundamentals, teaching you to collect, analyze, and visualize data using Excel, SQL, and Tableau. Learn to work with spreadsheets, perform statistical analysis, create financial models, and build interactive dashboards. Apply your skills to real-world projects, such as analyzing NYSE S&P financial data and optimizing business practices using a digital music store database. Gain proficiency in data-driven decision-making, financial forecasting, and creating impactful visualizations. This program is designed for aspiring business analysts and professionals seeking to enhance their data analysis and interpretation capabilities in a business context.
Master essential data analysis skills to drive informed business decisions across industries. This program covers data fundamentals, teaching you to collect, analyze, and visualize data using Excel, SQL, and Tableau. Learn to work with spreadsheets, perform statistical analysis, create financial models, and build interactive dashboards. Apply your skills to real-world projects, such as analyzing NYSE S&P financial data and optimizing business practices using a digital music store database. Gain proficiency in data-driven decision-making, financial forecasting, and creating impactful visualizations. This program is designed for aspiring business analysts and professionals seeking to enhance their data analysis and interpretation capabilities in a business context.
Beginner
3 months
Last Updated December 18, 2024
Prerequisites:
Beginner
3 months
Last Updated December 18, 2024
Skills you'll learn:
Prerequisites:
No experience required
Courses In This Program
Course 1 • 4 hours
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 • 1 month
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 • 4 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 month
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
Project: Build Data Visualizations
In this project, you’ll build interactive dashboards with Tableau and use them to discover and communicate insights from data.
Taught By The Best
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.
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.
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.
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.
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.
Student Reviews
Average Rating: 4.8 Stars
1,243 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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Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
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