Data Science

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Statistical Thinking for Data Science and Analytics (edX) EdX
Columbia University,ColumbiaX

Statistical Thinking for Data Science and Analytics (edX)

Dive into Statistical Thinking for Data Science and Analytics on edX and gain a robust understanding of statistics as the cornerstone of data science. This course will guide you through essential concepts like designing data collections, deriving insights from visualizations, making data-based decisions, and constructing predictive models. Ideal for those new to data science or looking to deepen their analytical skills.

Self Paced
Self-Paced
Machine Learning for Data Science and Analytics (edX) EdX
Columbia University,ColumbiaX

Machine Learning for Data Science and Analytics (edX)

Dive into the fascinating world of Machine Learning with our edX course, tailored for both novices and experienced professionals seeking to enhance their Data Science and Analytics capabilities. This course unravels the principles behind machine learning algorithms and their pivotal role in various applications such as web search, ad placement, credit scoring, stock trading, and more.

Self Paced
Self-Paced
Enabling Technologies for Data Science and Analytics: The Internet of Things (edX) EdX
Columbia University,ColumbiaX

Enabling Technologies for Data Science and Analytics: The Internet of Things (edX)

Dive into the world of Big Data with our exclusive course on Enabling Technologies for Data Science and Analytics: The Internet of Things (IoT). This edX offering will equip you with a deep understanding of how IoT is revolutionizing data acquisition and analysis. From sensor technology to advanced analytics techniques like sentiment analysis, this course covers everything you need to know about leveraging the vast amounts of data generated by interconnected devices for informed decision-making.

Self Paced
Self-Paced
Data Science Essentials (edX) EdX
Microsoft

Data Science Essentials (edX)

Embark on a journey into the world of data science with this comprehensive course offered by edX. Developed in collaboration with esteemed institutions like MIT and Microsoft, Data Science Essentials provides an engaging introduction to essential skills and principles that are driving today's data-driven economy. Whether you're new to data science or looking to deepen your expertise, this course offers a structured path to understanding key concepts such as data acquisition, preparation, exploration, visualization, and the basics of machine learning.

Not Available
Course Not Available
Introduction to R (DataCamp) DataCamp
DataCamp

Introduction to R (DataCamp)

Embark on your data analysis adventure with 'Introduction to R' by DataCamp. This comprehensive course is designed for beginners, offering a solid foundation in the basics of R programming. From mastering vectors and matrices to understanding complex data structures like lists and data frames, this course equips you with the essential skills needed to perform your first data analysis using R. Whether you're new to data science or looking to refine your analytical toolkit, this course is your gateway to unlocking the potential of R.

Self Paced
Self-Paced
Introduction to Python (DataCamp) DataCamp
DataCamp

Introduction to Python (DataCamp)

Embark on a journey into the world of Python programming for data analysis with our Introduction to Python course. Designed by experts at DataCamp, this beginner-friendly curriculum will teach you essential skills in storing, manipulating, and analyzing data effectively. Discover how to leverage Python’s robust scientific computing tools such as NumPy to conduct your own insightful analyses.

Self Paced
Self-Paced
Probability: Distribution Models & Continuous Random Variables (edX) EdX
Purdue University,PurdueX

Probability: Distribution Models & Continuous Random Variables (edX)

Dive into the world of statistics and data science with our Probability: Distribution Models & Continuous Random Variables course. Gain a deep understanding of continuous random variables and learn to apply essential probability distribution models such as normal, exponential, gamma, and beta distributions. Perfect for aspiring information scientists and analysts looking to refine their skills.

No sessions available
5-12 Weeks