Data Analytics

(2652)

Course Details

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$3,950

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Location:

Online
Online Class Livestream
San Francisco, California (Map)

Important:

Except: Nov 11 & Nov 25

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Description

Class Level: All levels

Age Requirements: 18 and older

Average Class Size: 20

Teacher: Gus Lopez, Alexandra Sanne & David Napoli

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.

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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General Assembly
Online
Online Class Livestream
San Francisco, California Online
Online Class Livestream
San Francisco, California

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