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Key Information
Data Science & AI Certificate Online
$3,995 114 Hours
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Overview
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Prerequisite
Open to Beginners
Location
Live Online or Live Online
Schedule
Next start date: Jan 20–Feb 13, Weekdays
Other scheduling options: Weekdays, Sundays, or evenings
View full schedule
Certification
Receive a Certificate of Completion
Software Included
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)
  • 30 HoursPython for Data Science Course Online
  • 18 HoursSQL Course Online
  • 6 HoursPython for Automation Course Online
  • 24 HoursPython Data Visualization & Interactive Dashboards Course Online
  • 30 HoursPython Machine Learning Course Online
  • 0 hoursData Science Capstone Projects (Self-Paced)
Financing See our Climb Credit FAQ for more details
This program is eligible for 12-month financing through Climb Credit.
Target Audience

The Data Science Certificate is best suited for:

  • Individuals looking to break into data science with Python, machine learning, data visualization, and SQL skills.
  • Analysts who work with other data tools looking to transition to Python and SQL.
  • Developers looking to broaden their skill set by learning data science and Python.
What You’ll Learn
  • Analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression 
  • Apply machine learning algorithms to the data
  • Clean and balance data in Pandas
  • Make interactive dashboards with Dash Enterprise
  • Evaluate the performance of machine learning models  
  • Combine information across tables with join statements
  • Learn advanced techniques such as subqueries and stored procedures 
  • Write programs in Python to automate everyday tasks

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