Location
  • Online
Term
Short Term

Program Details

Program Type
Direct Enrollment
Degree Level
Masters
Language
English

Pricing

Starting Price
8000
Price Details
This includes:
Course tuition and textbooks
Academic advising
What's Included
Classes
What's Not Included
Accommodation Some Accommodation Activities Some Activities Airfare Domestic Airfare Airport Transfers Meals Some Meals SIM cards Transportation Travel Insurance Visa Wifi
May 03, 2020
Oct 25, 2019
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About Program

Are you looking to build a career as a data analyst or data scientist, or need to better understand data science in your current position? This 2-month certificate gives you in-depth understanding about how to effectively use data to make sound business decisions. Learn how to perform advanced data wrangling, data mining, statistical modeling and machine learning on data sets that may be very large and complex.

Gain a competitive advantage as you enter the workforce or aspire for that promotion. Everything you learn can be put to use in the workplace immediately.

Courses
Weeks 1–2: Introduction to Data Science
Weeks 3–4: Python for Data Analysis and Scientific Computing
Weeks 5–6: Introduction to Big Data
Weeks 7–8: Business Intelligence With SQL Server

Lead instructor Seema Singh Saharan, M.Phil Mathematics (Operations Research), is also an instructor at CSUEB and UC Berkeley Statistics Department.

This program is currently not being promoted on Go Overseas by its provider. Check with Berkeley Global for the most up-to-date information regarding the status of this program.

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Program Highlights

  • Learn Live Online: Access classroom-style interactive learning from anywhere in the world! Attend scheduled online sessions with your instructor and classmates in addition to completing your coursework.
  • Intensive Curriculum: Attend 3 hours of online classes and workshops each day, Monday–Friday. Earn 8 academic credits (120 hours of instruction total).
  • Real-World Experience: Develop real solutions using key data analysis and Big Data tools (Spark, R, Python, TensorFlow, relational databases and SQL).
  • Academic Excellence: Learn at a top-ranked global public university.
  • Capstone Project: Build your portfolio with a real-world capstone project that you complete as you progress through the course.

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