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Key Information
Data Analytics Certificate
$4,995 156 Hours
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Overview
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
Prerequisite
Open to Beginners
Location
185 Madison Ave, NYC or Live Online
Schedule
Next start date: Feb 5–Aug 14, Evenings
Other scheduling options: Evenings or weekdays
View full schedule
Certification
New York-licensed Certificate Program
1:1 Mentoring Included See all courses that offer 1–on–1 mentoring
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Courses Included (Certificates & packages only)
  • 18 HoursExcel for Data Analytics
  • 12 HoursData Analytics Foundations
  • 30 HoursPython for Data Science Bootcamp
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython Machine Learning Bootcamp
  • 12 HoursTableau Bootcamp
  • 30 HoursPython Data Visualization & Interactive Dashboards
Payment Plan See our payment plan FAQ for more details
This program is eligible for our “pay-as-you-go” payment plan.
Financing See our Leif FAQ for more details
This program is eligible for 12-month financing through Leif.
Target Audience

The Data Analytics Certificate is best suited for:

  • Anyone looking to launch their career as a Data Analyst or Business Analyst.
  • Anyone who wants to build their knowledge of data visualization, Python, statistics, and database management.
  • People wanting to become a Marketing Analyst or Financial Analyst (requires additional courses after this program).
What You’ll Learn
  • Learn how to use Excel to manipulate and visualize data.
  • Gather, clean, analyze, and visualize data with the Python programming language using scientific libraries.
  • Extract information using SQL to interact with relational databases and perform database operations.
  • Interpret the results in an accurate and meaningful way using advanced techniques and statistical tools to conduct thorough and insightful analyses.
  • Use Tableau and Python to visualize data so people can understand it and even interact with it.

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