This specialization introduces learners to essential data science techniques, including time series analysis, statistical learning, and data preparation. Learners will develop foundational skills in data exploration, cleaning, and visualization, as well as core competencies in building predictive models and interpreting statistical outputs to drive business and research insights.
Introduction to Data Science Techniques Specialization
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Introduction to Data Science Techniques Specialization
Foundations of Data Science Techniques. Learn essential data science techniques for analyzing and interpreting data.
Instructors: Ming-Long Lam
Included with 
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
6 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
6 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
How to analyze and forecast time series data
Techniques for statistical learning and model building
Methods for preparing and analyzing data
Overview
Skills you'll gain
- Exploratory Data Analysis
- Data Cleansing
- Applied Machine Learning
- Regression Analysis
- Statistical Machine Learning
- Analytics
- Machine Learning
- Data Presentation
- Forecasting
- Statistical Modeling
- Machine Learning Algorithms
- Statistical Methods
- Data Analysis
- Statistical Programming
- Statistical Analysis
- Data Science
- Time Series Analysis and Forecasting
- Data Visualization
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
May 2025
95 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Illinois Tech
Specialization - 3 course series
What you'll learn
Skills you'll gain
Category: Time Series Analysis and Forecasting
Category: R Programming
Category: Forecasting
Category: Probability & Statistics
Category: Statistical Software
Category: Statistical Modeling
Category: Correlation Analysis
Category: Statistical Hypothesis Testing
Category: Statistical Visualization
Category: Predictive Analytics
Category: Data Analysis
Category: Statistical Analysis
Category: Data Presentation
What you'll learn
Skills you'll gain
Category: Statistical Machine Learning
Category: Statistical Modeling
Category: Supervised Learning
Category: Regression Analysis
Category: Machine Learning
Category: Bayesian Statistics
Category: Machine Learning Algorithms
Category: Predictive Modeling
Category: Statistical Inference
Category: Statistical Analysis
Category: Feature Engineering
Category: Data Analysis
Category: Statistical Methods
Category: Statistical Programming
Category: Classification And Regression Tree (CART)
Category: Unsupervised Learning
Category: Dimensionality Reduction
What you'll learn
1. Apply appropriate techniques for generating insights from data.
2. Present actionable solutions with confidence to the business stakeholders.
Skills you'll gain
Category: Data Analysis
Category: Data Mining
Category: Feature Engineering
Category: Decision Tree Learning
Category: Unsupervised Learning
Category: Regression Analysis
Category: Analytics
Category: Data Cleansing
Category: Machine Learning
Category: Data Visualization
Category: Machine Learning Algorithms
Category: Data Manipulation
Category: Scikit Learn (Machine Learning Library)
Category: Applied Machine Learning
Category: Statistical Analysis
Category: Data Presentation
Category: Statistical Modeling
Category: Exploratory Data Analysis
Category: Python Programming
Category: Data Science
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Build toward a degree
This Specialization is part of the following degree program(s) offered by Illinois Tech. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
Instructors
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Frequently asked questions
No, it’s not required—but it is recommended that you follow the course sequence listed on the specialization landing page. This order is designed to help you build your skills progressively, from foundational concepts to more advanced topics.
No, this specialization is open to all MOOC learners. You do not need to be an admitted degree-seeking student to complete the specialization and receive a Coursera–IIT co-branded non-credit certificate.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
More questions
Financial aid available,