Data Science Immersive
Empower your data teams with practical data science and machine learning capabilities, fusing computer science, statistics, and business. Gain skills such as Python for exploratory data analysis, constructing and refining machine learning models to forecast patterns, and effectively communicating data-driven insights to various stakeholders.
Ideal For
Analysts or engineers who want to break into data science.
Managers who need to work with technical teams and want to more effectively communicate and empathise with them.
Analysts or engineers who want to break into data science.
Managers who need to work with technical teams and want to more effectively communicate and empathise with them.
Analysts or engineers who want to break into data science.
Managers who need to work with technical teams and want to more effectively communicate and empathise with them.
What to Expect
SKILL LEVEL
Intermediate
DURATION
3 Months
CERTIFICATION
After Completion
LANGUAGE
English
Skills You Will Learn
Pre-Work Data Science Fundamentals
Fundamentals
Working with Data
Data Science Modelling
Data Science Applications/Machine Learning
Pre-Work Data Science Fundamentals
Fundamentals
Working with Data
Data Science Modelling
Data Science Applications/Machine Learning
Pre-Work Data Science Fundamentals
Fundamentals
Working with Data
Data Science Modelling
Data Science Applications/Machine Learning
Module
Expand All +
Pre-work: Data Science Fundamentals
Unit 1: Data Foundations
Unit 2: Working With Data
Unit 3: Data Science Modeling
Unit 4: Data Science Applications
Module
Expand All +
Pre-work: Data Science Fundamentals
Unit 1: Data Foundations
Unit 2: Working With Data
Unit 3: Data Science Modeling
Unit 4: Data Science Applications
Course Outcome
Level 1 Data Skills: Wrangle, explore, model, and communicate the results of multiple analyses with Python and its many packages.
Level 2 Data Skills: Work on advanced analytics data sets and explore the capabilities of machine learning.
Level 1 Data Skills: Wrangle, explore, model, and communicate the results of multiple analyses with Python and its many packages.
Level 2 Data Skills: Work on advanced analytics data sets and explore the capabilities of machine learning.
Level 1 Data Skills: Wrangle, explore, model, and communicate the results of multiple analyses with Python and its many packages.
Level 2 Data Skills: Work on advanced analytics data sets and explore the capabilities of machine learning.
Course Intake
1 April 2025 → 1 May 2025
Every Tuesday and Thursday | 8PM → 10PM
Content Provider
General Assembly offers courses in software engineering, data analytics and data science, product management, user experience design, digital marketing and others. In today’s job market, these digital skills are becoming increasingly important as more and more industries are turning to tech-driven solutions for their day-to-day operations.
General Assembly offers courses in software engineering, data analytics and data science, product management, user experience design, digital marketing and others. In today’s job market, these digital skills are becoming increasingly important as more and more industries are turning to tech-driven solutions for their day-to-day operations.
General Assembly offers courses in software engineering, data analytics and data science, product management, user experience design, digital marketing and others. In today’s job market, these digital skills are becoming increasingly important as more and more industries are turning to tech-driven solutions for their day-to-day operations.
Frequently Asked Questions
Will I earn a certificate?
Will I earn a certificate?
Will I earn a certificate?
Can I work full time while enrolled in this course?
Can I work full time while enrolled in this course?
Can I work full time while enrolled in this course?
What projects will I work on during the course?
What projects will I work on during the course?
What projects will I work on during the course?
What are the backgrounds of data science students?
What are the backgrounds of data science students?
What are the backgrounds of data science students?
Module
Expand All +
Pre-work: Data Science Fundamentals
Unit 1: Data Foundations
Unit 2: Working With Data
Unit 3: Data Science Modeling
Unit 4: Data Science Applications
Module
Expand All +
Pre-work: Data Science Fundamentals
Unit 1: Data Foundations
Unit 2: Working With Data
Unit 3: Data Science Modeling
Unit 4: Data Science Applications
