Skills you'll learn:
Cluster modelsTime-series analysis
Business Intelligence Analytics
Nanodegree Program
Learn how to leverage business intelligence analytics to transform data into strategic insights for any enterprise. You’ll explore how enterprises leverage business intelligence to blend diverse data types and sources into comprehensive data models that reveal essential insights. Delve into core strategies to ensure data accuracy and consistency, so your models produce reliable, actionable insights that support smarter decision-making. By the end, you’ll be equipped to build advanced data models that give organizations a competitive edge, empowering you to harness data for strategy, process optimization, and meaningful impacts across the business landscape.
Learn how to leverage business intelligence analytics to transform data into strategic insights for any enterprise. You’ll explore how enterprises leverage business intelligence to blend diverse data types and sources into comprehensive data models that reveal essential insights. Delve into core strategies to ensure data accuracy and consistency, so your models produce reliable, actionable insights that support smarter decision-making. By the end, you’ll be equipped to build advanced data models that give organizations a competitive edge, empowering you to harness data for strategy, process optimization, and meaningful impacts across the business landscape.
Beginner
2 months
Last Updated November 22, 2024
Prerequisites:
Exploratory data analysisData visualizationData wranglingChart typesElementary algebra
Beginner
2 months
Last Updated November 22, 2024
Skills you'll learn:
Cluster models • Time-series analysis • Automated machine learning • Power BI Data Pipeline
Prerequisites:
Exploratory data analysis • Data visualization • Data wrangling
Courses In This Program
Course 1 • 45 minutes
Welcome to the Nanodegree Program!
Welcome to Udacity! We're excited to share more about your Nanodegree program and start this journey with you!
Lesson 1
Welcome!
Welcome to Udacity. Takes 5 minutes to get familiar with Udacity courses and gain some tips to succeed in courses.
Lesson 2
Getting Help
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
Course 2 • 3 weeks
Introduction to Data Analytics
This course establishes a framework for data analytics as a series of progressive steps starting with the data source and ending with the interpretation of results. We introduce fundamental concepts such as data analytics life cycle, data integrity, and the four types of data analytics (descriptive, diagnostic, predictive, and prescriptive). Students who complete this course will be equipped with the skills to identify the data analytics strategy used in a given situation and where they are in the data analytics life cycle.
Lesson 1
Introduction to Data Analysis
In this lesson, we will introduce you to data analysis and what we will be covering in this course.
Lesson 2
Data Analytics Life Cycle
In this lesson, we will learn how to solve data analysis issues using each step of the data analytics life cycle.
Lesson 3
Data Integrity
In this lesson, we will review the importance of data integrity in data analysis, the components of data integrity, and how to identify and fix it.
Lesson 4
Types of Data Analytics & Statistics
In this lesson, we will review each of the different types of data analytics and when to use them, along with statistics that pertain to each analytics type.
Lesson 5
Power BI Overview
In this lesson, we will introduce Power BI and its capabilities as an analytics and data visualization tool.
Lesson 6 • Project
Out of the Box Analytics
In this project, you will use what you learned about data analytics to analyze KPIs for a company and represent your analysis with effective visuals.
Lesson 7
Microsoft Power BI Workspace
In this lesson, you'll learn how to set up a Windows desktop workspace to use Power BI
Course 3 • 3 weeks
Data Preparation and Modeling
The preparation phase is the most important step in data analysis. An effective data model is required before data can be effectively analyzed, and creating that data model may utilize a wide range of skills. This course teaches the skills to load, clean, and organize data in Power Query and create relational tables in Power Query and Power BI. Completing this course will provide the knowledge to effectively source data in Power BI and create a clean and efficient data model for analysis.
Lesson 1
Introduction to Data Preparation & Modeling
Introduction to Data Preparation & Modeling lesson introduces students to the topics, highlights, and prerequisites of the course. And requirements to successfully complete the course are explained.
Lesson 2
Relational Data & Table Structure
Relational Data & Table Structure lesson teaches the core concepts around working with data from multiple sources and tables. It explains what relational data is and how it works.
Lesson 3
Power Query & M Overview
Power Query & M Overview lesson highlights the Power Query data wrangling system that is used within Power BI. Specific cleaning and organization tools and techniques are explored.
Lesson 4
Data Cleaning and Organization
Data Cleaning & Organization lesson takes a practical deep dive into Power Query. Here more complex data cleaning and organization strategies are practiced, and the M language is explained.
Lesson 5
DAX Language & Quantitative Analysis
DAX Language & Quantitative Analysis lesson dives into DAX, which is the primary analytical language of Power BI. Different foundational concepts around DAX calculations are covered.
Lesson 6 • Project
Population Statistics Data Model
The project asks students to gather data about the US economy to understand better the makeup of the economy and how it’s changing. Students will submit a PowerBI report at the end.
Lesson 7
Microsoft Power BI Workspace
In this lesson, you'll learn how to set up a Windows desktop workspace to use Power BI
Course 4 • 4 weeks
Predictive Data Analysis
Develop the skills to make data-driven predictions with confidence. Using Power BI Desktop, you’ll dive into essential tools for predictive analysis, mastering techniques like classification, regression, and forecasting. With a hands-on approach and varied datasets, you’ll gain practical experience that brings predictive data analysis to life, preparing you to tackle real-world challenges. Learn to uncover patterns and insights that reveal future risks, analyze different market trends, and support critical decision-making within any organization. By the end, you’ll be ready to turn raw data into actionable insights, empowering you to guide strategic actions that make an impact in any enterprise setting.
Lesson 1
Introduction to Predictive Data Analytics
This lesson will introduce predictive analytics concepts and a general overview of when to use it in your organization. We will also review the project and the primary tool we will use: Power BI.
Lesson 2
Regression
We will review one Machine Learning technique that involves numeric data: Regression. We will learn about its main features, how to interpret it and how to construct it using Power BI.
Lesson 3
Classification and Clustering
We will learn additional ML techniques: Classification and Clustering. We will review its main features, some clustering techniques, how to interpret them and how to construct clusters with Power BI.
Lesson 4
Time-Series Forecasting
We will review what a time-series is. Also, we will review deterministic and probabilistic forecasting methods, how to read and interpret time-series and how to create forecasts using Power BI.
Lesson 5
Additional Tools and Techniques
We will review additional ML and AI-powered tools using Power BI: we will focus on Power BI dataflows and its AutoML features and use two AI-powered visuals: the Q&A and the smart narratives.
Lesson 6 • Project
Commercial Flight Analysis in the State of New York
In this project, students will use the data of past flights departing from the State of New York to analyze and give recommendations about flight delays.
Lesson 7
Microsoft Power BI Workspace
In this lesson, you'll learn how to set up a Windows desktop workspace to use Power BI
Taught By The Best
Ivan Vega
Sr. Analyst, Reporting & Insights
Ivan Vega is a Senior Analyst, Reporting & Insights at T-Mobile. On evenings and weekends, he teaches both SQL and data visualization courses for master's programs at St. Mary's College of California. He has been teaching for over 2 years and has been an analyst for over 8 years.
Joseph Lozada
Senior Business Intelligence Consultant
Joseph works at The Planet Group, engaging with clients in the energy industry across the US. He helps clients collect data, set up data infrastructure, and provide data analysis and forecasting to better understand their operations and finances. He also works as an adjunct instructor of Excel and Microsoft Power BI analytics at the Community College of Rhode Island.
Daniel Roca
Full Stack Data Analytics Specialist
Daniel has worked for many years in business intelligence and data science and has used Power BI to find unique patterns in data to support decision-making. He is passionate about solving problems through data analytics, and loves the challenge of finding innovative ways to create efficient and impactful data-oriented solutions.
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