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

Mon, Jun 08, 9:00am - Jun 13, 5:30pm (6 sessions)

Next start dates (2)

Location:
Flatiron, Manhattan
10 E 21st St 3rd Fl
Btwn Broadway & 5th Ave
New York, New York 10010
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A Computer will not be provided.
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Description
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 20

Flexible Reschedule Policy: This provider has flexible, free rescheduling for any-in person workshop. Please see the cancellation policy for more details

What you'll learn in this data analyst training:

This is a 10-week part-time or 1-week accelerated course.

The Big Picture: Confidently make—and defend—critical decisions using the results of your data analysis.

Skills, Tools, & Strategies: Use Excel, SQL, and Tableau to spot trends and drive business decisions with real-world data.

Analytics in Practice: Share your insights and tell compelling stories using data visualizations and dashboards.

What You'll Learn:


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.
  • 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
  • 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


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
  • 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.

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 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.

Remote Learning

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.

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.

Refund Policy
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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Start Dates (3)
Start Date Time Teacher # Sessions Price
9:00am - 5:30pm Pam Kingpetcharat, Gus Lopez and Alexandra Sanne 6 $3,950
This course consists of multiple sessions, view schedule for sessions.
Tue, Jun 09 9:00am - 5:30pm Pam Kingpetcharat, Gus Lopez and Alexandra Sanne
Wed, Jun 10 9:00am - 5:30pm Pam Kingpetcharat, Gus Lopez and Alexandra Sanne
Thu, Jun 11 9:00am - 5:30pm Pam Kingpetcharat, Gus Lopez and Alexandra Sanne
Fri, Jun 12 9:00am - 5:30pm Pam Kingpetcharat, Gus Lopez and Alexandra Sanne
Sat, Jun 13 9:00am - 5:30pm Pam Kingpetcharat, Gus Lopez and Alexandra Sanne
6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne 20 $3,950
This course consists of multiple sessions, view schedule for sessions.
Thu, Jun 18 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Tue, Jun 23 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Thu, Jun 25 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Tue, Jun 30 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Thu, Jul 02 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Tue, Jul 07 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Thu, Jul 09 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Tue, Jul 14 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Thu, Jul 16 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Tue, Jul 21 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Thu, Jul 23 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Tue, Jul 28 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Thu, Jul 30 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Tue, Aug 04 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Thu, Aug 06 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Tue, Aug 11 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Thu, Aug 13 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Tue, Aug 18 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne
Thu, Aug 20 6:30pm - 8:30pm Pam Kingpetcharat, Gus Lopez & Alexandra Sanne

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Questions & Answers (4)

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Question from anonymous
Hi, I want to know - to do that course what basic knowledge should I have and whats the minimum qualification and skills required.
Answer from Brenda L. CourseHorse StaffCourseHorse Staff
Hi there! The students must have some background in using an informational database like Excel or SQL and have knowledge in doing mathematical operations in those databases. There's really no minimum qualification or skills required. It's a case to case basis. If no knowledge in information database, it is recommended students to take an Excel Bootcamp. Hope this helps!
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Question from Anonymous
Is this an accredited certificate?
Answer from Brenda L. CourseHorse StaffCourseHorse Staff
Hi there! The General Assembly only provides a certificate of completion. Hope this helps!
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Question from Sangeeta R.
Hi! is there a certificate given upon completion of this course? Thanks.
Answer from Kristle C. CourseHorse StaffCourseHorse Staff
Hi Sangeeta! Yes, you can request a certificate of completion from the school after the class.
Answer from Sangeeta R.
Thank you Kristle!
Answer from Kristle C. CourseHorse StaffCourseHorse Staff
You're welcome!
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Question from Maryam F.
Hi, Good morning. I have a question could you tell me please? The first info session of DATA ANALYTICS is free but the rest of sessions (10-week part time or 1-week accelerated course) will cost? Please guide me about the total charges. Thanks. MARYAM FATIMA
Answer from Brenda L. CourseHorse StaffCourseHorse Staff
Hi Maryam! The full course is $3,950 and if you're interested to take the full course after taking the info session, please contact General Assembly. Thanks!
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General Assembly

General Assembly is a pioneer in education and career transformation, specializing in today’s most in-demand skills. The leading source for training, staffing, and career transitions, we foster a flourishing community of professionals pursuing careers they love.

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