18 and older
This is a part time course.
This course will teach you how to use large datasets to make critical decisions.Course OutlineUnit 1: Exploring Data with Excel
Understanding the Value of Data
- Explore the value of data.
- Work your way through the data analytics workflow.
- Unlock the power of Microsoft Excel to utilize its analytical tools — no matter your experience level.
- Practice applying the data analytics workflow to a sample business case.
Preparing Data in Excel
- Discuss data cleaning best practices.
- Review strategies to prepare and clean a data set.
- Practice asking the “right” questions of our data.
Referencing Data in Excel
- Use named ranges to easily reference data subsets.
- Use the VLOOKUP and HLOOKUP functions to manipulate data sets.
- Look up values in other tables using the functions INDEX and MATCH.
Aggregating Data in Excel
- Summarize data using pivot tables.
- Execute Excel aggregation commands (SUM, AVERAGE, COUNT, etc.) and their conditional variants (COUNTIF, COUNTBLANKS, etc.) to summarize data sets.
- Explore data using conditional formatting for categorization and analysis.
Visualizing Data in Excel
- Use scatter plots, bar graphs, and histograms to visualize data.
- Explore color theory and how it applies to data visualization.
- Build your own data dashboard using industry best practices.
- Apply visual design principles to your dashboard to present your findings clearly.
Applying Statistics for Data Analysis
- Understand the value of descriptive and inferential statistics.
- Learn to describe data and identify outliers using its mean, median, mode, range, and variance.
- Practice applying statistical functions in Excel.
Building Data Narratives
Unit 2: Managing Data with SQL
- Learn best practices for describing analysis techniques.
- Communicate insights and implications for stakeholders.
- Deliver short, effective presentations sharing your findings.
- Provide context for your audience by identifying and presenting the salient statistics.
Foundations of Databases and SQL
- Learn about data structures and the role of structured query language (SQL).
- Filter data using advanced SQL commands (Where, Group By, Having, Order By, Limit).
- Obtain data by creating relationships between tables using Joins.
- Gather filtered data using SQL Boolean operators (AND and OR) and SQL conditional operators (=,!=,>,<,IN, and BETWEEN).
Aggregating Data in SQL
- Create relationships between tables and data points (including has_many and many_to_many) using Join tables and multiple Joins.
- Write Boolean statements with SQL conditional operators (=, !=, >, <, IN, and BETWEEN).
- Summarize data sets by employing aggregation commands (“Sum,” “Average,” “Count,” etc.).
- Determine data trends by applying aggregation methods.
Using Logic and Functions in SQL
- Explain the differences between NULL and zero.
- Use SQL NULL to create Boolean functions and handle zeros.
- Apply string functions to manipulate how data is presented.
- Apply math functions to add value to the data you are working with.
- Apply date logic to your SQL queries.
Writing Efficient, Dynamic Queries and Subqueries
Unit 3: Communicating Data Analysis with Tableau
- Use CASE statements to structure data and create new attributes.
- Combine multiple subqueries into one using “WITH AS.”
- Optimize queries using WHERE, LIMIT, and COALESCE.
Exploring the Fundamentals of Tableau
- Get hands-on, practical experience navigating the Tableau software interface.
- Connect your data to Tableau and identify the best ways to visualize and display your results.
Visualizing Data and Text Manipulation in Tableau
- Use bubble graphs and a variety of visualizations to identify and communicate data insights.
- Create a number of calculated fields to clean and manipulate strings of text using LEFT, MID, FIND, and REPLACE.
Text and Sentiment Analysis in Tableau
- Use the Twitter web data connector to bring tweet data into Tableau.
- Analyze and visualize your data pull in Tableau in order to answer basic questions.
Designing Data Dashboards in Tableau
- Contextualize analysis results by creating Tableau dashboards.
- Incorporate charts and conditional formatting into your dashboard using supporting information specific to a particular data set.
Working with Data Across Excel, SQL, and Tableau
- Understand the use of specific data analysis software.
- Apply all the tools and skills you’ve acquired in Excel, SQL, and Tableau to analyze a data set from start to finish.
Final Project Presentations
- Identify strengths and areas for improvement in your analytical skills with feedback from peers, instructors, and guest panelists.
For students enrolling in 12 week part time and immersive classes, it is not recommended that you book more than one class simultaneously.