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Data Analyst - Professional Certificate from IBM (edX)

This eight-course Professional Certificate from IBM prepares you with job-ready skills for an entry level data analyst role. Position yourself competitively and power your data analyst career for a job in a thriving market or leverage foundational data skills to explore problems in an increasingly data-driven professional world.

eMarketing Institute _�_ Web Analytics Course

The beginning of the course is focused on explaining what web analytics is, how it all started, and how analytics changed over the years with the development of technology. You will also learn about true potential of web analytics and how you can use it to help your business grow.

Introduction to Python | Experfy

This course will show you Why Python is so popular in the Data Science community, How to set up the development environment (which will be Jupyter Notebook) and install the base packages for Python, and more

Machine Learning for Executives

An introductory course on Supervised, Unsupervised, Reinforcement learning, and machine learning applications. Get introduced to Machine Learning and gain a good basic understanding of its applications.

Natural Language Processing | Experfy

A hands-on and practical course on making machines understand the way we speak. Instructor holds a Ph.D. in Electrical and Computer Engineering, with a focus on machine learning and data analysis. This course helps students understand how machines understand human language.

Supervised Learning: Linear Regression

What am I going to get from this course? Improved ability to discriminate, differentiate, and conceptualize appropriate methods of supervised machine learning methods Improved general awareness regarding use of these models as L1-/L2-norm regularizers, loss-functions, and more.

Unsupervised Learning: Clustering

This course will focus on Clustering algorithms and methods through practical examples and code. More importantly, it will get you up and running quickly with a clear conceptual understanding. The course has code & sample data for you to run and learn from. It also encourages you to explore your own datasets using Clustering algorithms.

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