Data Science Fundamentals Specialization

This specialization demystifies data science and familiarizes learners with key data science skills, techniques, and concepts. The course begins with foundational concepts such as analytics taxonomy, the Cross-Industry Standard Process for Data Mining, and data diagnostics, and then moves on to compare data science with classical statistical techniques. The course also provides an overview of the most common techniques used in data science, including data analysis, statistical modeling, data engineering, manipulation of data at scale (big data), algorithms for data mining, data quality, remediation and consistency operations.
WHAT YOU WILL LEARN

The knowledge and skills needed to work in the data science profession
How data science is used to solve business problems
The benefits of using the cross-industry standard process for data mining (CRISP-DM)
The application of predictive modeling to professional and academic work

Coursera

University of California, Irvine

Cluster Analysis, Association Mining, and Model Evaluation (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of advanced data analytics with our comprehensive course on Cluster Analysis, Association Mining, and Model Evaluation. This course will equip you with essential skills in segmenting data, applying techniques like collaborative filtering and association rule mining, and evaluating models to ensure optimal performance. Whether you're a data enthusiast or a professional looking to refine your analytical toolkit, this course offers valuable insights into handling complex datasets.

Jun 15th 2026

4 Weeks

Data Analysis Prediction Models Mining

Coursera

University of California, Irvine

Intro to Analytic Thinking, Data Science, and Data Mining (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey into the world of data with our Introduction to Analytic Thinking, Data Science, and Data Mining course. Learn about the profession of data science, ethical considerations, problem-solving capabilities, and the CRISP-DM methodology. Gain insights into Descriptive, Predictive, and Prescriptive Analytics, and explore essential tools for your data science toolkit.

Jun 15th 2026

4 Weeks

Data Mining Data Analysis Thinking

Coursera

University of California, Irvine

Predictive Modeling, Model Fitting, and Regression Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of data prediction with our Predictive Modeling, Model Fitting, and Regression Analysis course. Gain expertise in developing effective models for historical and future data analysis, understanding both supervised and unsupervised learning methods, and applying linear regression techniques to achieve business objectives.

Jun 15th 2026

4 Weeks

Data Analysis Data Science Regression Analysis

Coursera

University of California, Irvine

Natural Language Processing and Capstone Assignment (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Natural Language Processing (NLP) with this specialized online course. Learn how to analyze, understand, and generate human language using computational techniques. Gain practical skills through a capstone project that ties together all you've learned in this comprehensive program.

Jun 15th 2026

4 Weeks

NLP Data Analysis Data Science

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