Data Analytics

at General Assembly - Downtown, Washington, D.C.

Course Details
Price:
$3,950 8 seats
Start Date:

Mon, Dec 17, 9:00am - Dec 22, 5:00pm (6 sessions)

Next start dates (2)

Location:
Downtown, Washington, D.C.
1133 15th St NW 8th Fl
Btwn L & M Streets NW
Washington, District of Columbia 20005
(Map)
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Important:
A computer will not be provided
Purchase Options
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 20

What you'll learn in this data analyst training:

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

  • 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.
Preparing 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).
Cleaning 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.
Referencing 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.
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.
Visualizing Data in Excel
  • 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.
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.
  • Make predictions about larger populations using sample data.
Building Data Narratives
  • 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.
Unit 2: Managing Data with SQL

Understanding the Fundamentals of Databases and 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).
Querying Large Databases 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).
Aggregating Data in SQL
  • 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.
Writing Efficient, Dynamic Queries
  • Use CASE statements to structure data and create new attributes.
  • Combine multiple subqueries into one using “WITH AS.”
Creating a Local Database
  • Create a local database using data sets you bring into the classroom.
  • Upload and export data using a local database.
Unit 3: Communicating Data Analysis with Tableau

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 Mapping in Tableau
  • Use bubble graphs to visualize data.
  • Display geocoded information for your data.
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.
School Notes:
For students enrolling in 12 week part time and immersive classes, it is not recommended that you book more than one class simultaneously.

Still have questions? Ask the community.

If you can't make it to a class/workshop, please email us at [email protected] at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

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All classes at this location

Start Dates (3)
Start Date Time Teacher # Sessions Price
6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley 19 $3,950
This course consists of multiple sessions, view schedule for sessions.
Wed, Jan 16 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Jan 21 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Jan 23 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Jan 28 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Jan 30 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Feb 04 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Feb 06 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Feb 11 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Feb 13 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Feb 20 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Feb 25 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Feb 27 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Mar 04 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Mar 06 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Mar 11 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Mar 13 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Mar 18 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Mar 20 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
9:00am - 5:00pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley 6 $3,950
This course consists of multiple sessions, view schedule for sessions.
Tue, Dec 18 9:00am - 5:00pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Dec 19 9:00am - 5:00pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Thu, Dec 20 9:00am - 5:00pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Fri, Dec 21 9:00am - 5:00pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Sat, Dec 22 9:00am - 5:00pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley 20 $3,950
This course consists of multiple sessions, view schedule for sessions.
Wed, Mar 20 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Mar 25 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Mar 27 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Apr 01 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Apr 03 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Apr 08 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Apr 10 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Apr 15 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Apr 17 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Apr 22 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, Apr 24 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, Apr 29 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, May 01 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, May 06 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, May 08 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, May 13 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, May 15 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Mon, May 20 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley
Wed, May 22 6:30pm - 8:30pm Dave Bredesen, Carey Anne Nadeau, Irene Rix, Jim Byers, Roger Woodley

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General Assembly

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