Data Science

Computing for Data Analysis

Overview The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. The goal of this course, part of the Analytics: Essential Tools and Methods MicroMasters program, is for you to learn how to build these components and connect them using modern tools and techniques. In the course, you’ll see how …

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Statistical Inference

Overview Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed …

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Introduction to Data Science in Python

Overview This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the …

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Python for Data Science

Overview The course aims at equipping participants to be able to use python programming for solving data science problems.INTENDED AUDIENCE : Final Year UndergraduatesPRE-REQUISITES : Knowledge of basic data science algorithms Syllabus Week 1:•BASICS OF PYTHON SPYDER (TOOL)• Introduction Spyder• Setting working Directory• Creating and saving a script file• File execution, clearing console, removing variables …

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