18 and older
This is a part time course.
This course will teach you how to use large datasets to make critical decisions.Unit 1: Exploring Data with Excel
Understanding the Value of Data
Preparing Data in Excel
- 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.
Cleaning Data in Excel
- Learn best practices for collecting and cleaning data in Excel to ensure accurate analysis results.
- Manipulate real-world data sets using advanced nested logical functions (IF, OR, and AND).
Referencing Data in Excel
- Clean large, unruly data sets by removing duplicate rows and performing text manipulations.
- Transform and rearrange columns and rows within spreadsheets to prepare data for analysis.
- Gain insight into data analysis by manipulating data formats.
Aggregating Data in Excel
- Use the VLOOKUP and HLOOKUP functions to manipulate data sets.
- Look up values in other tables using the functions INDEX and MATCH.
Visualizing 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.
Applying Statistics for Data Analysis
- Derive insights from data by highlighting cells based on conditionals.
- 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.
Building Data Narratives
- Understand the value of descriptive and inferential statistics.
- Learn to describe data and identify outliers using its mean, median, mode, range, and variance.
- Make predictions about larger populations using sample data.
Unit 2: Managing Data with SQLUnderstanding the Fundamentals of Databases and 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.
Querying Large Databases in SQL
- Practice the fundamentals of Structured Query Language (SQL).
- Use database schema to design appropriate queries using SQL.
- Explore the differences between relational databases (tabular data storage) and document-based databases (key-value pairs).
Aggregating Data in SQL
- Collect data using standard SQL commands (Create, Update, Truncate, etc.).
- 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).
Writing Efficient, Dynamic Queries
- Create relationships between tables and data points (including has_many and many_to_many) using Join tables.
- Write Boolean statements with SQL conditional operators (=,!=,>,<,IN, and BETWEEN) and null functions (“IS NULL,” “IS NOT NULL,” and “NVL”).
- Clean data using SQL mathematical functions (ABS, SIGN, MOD, etc.).
- Summarize data sets by employing aggregation commands (“Sum,” “Average,” “Count,” etc.).
- Determine data trends by applying aggregation methods.
Creating a Local Database
- Use CASE statements to structure data and create new attributes.
- Combine multiple subqueries into one using “WITH AS.”
Unit 3: Communicating Data Analysis with Tableau
- Create a local database using data sets you bring into the classroom.
- Upload and export data using a local database.
Exploring the Fundamentals of Tableau
Visualizing Data and Mapping in 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.
Designing Data Dashboards in Tableau
- Use bubble graphs to visualize data.
- Display geocoded information for your data.
Working with Data Across Excel, SQL, and 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.
Final Project Presentations
- 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.
- Identify strengths and areas for improvement in your analytical skills with feedback from peers, instructors, and guest panelists.
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
For students enrolling in 12 week part time and immersive classes, it is not recommended that you book more than one class simultaneously.